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verified publisher icon NVIDIA-Merlin

Add select_by_tag to ParallelBlock

Open edknv opened this issue 3 years ago • 11 comments

Implements #694

edknv avatar Aug 31 '22 02:08 edknv

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GitHub pull request #701 of commit 5961267feb5a515bea1f89a8f1a9c30381371e62, no merge conflicts.
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Checking out Revision 5961267feb5a515bea1f89a8f1a9c30381371e62 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 5961267feb5a515bea1f89a8f1a9c30381371e62 # timeout=10
Commit message: "Add select_by_tag to ParallelBlock"
 > git rev-list --no-walk dd3fde315c27493e4797163139450a27c8c2857d # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins10704891081256649344.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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Requirement already satisfied: zipp>=3.1.0; python_version =1.4.0; python_version jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 679 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  5%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 24%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s........F...........             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 31%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ....                                  [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
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tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
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tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 83%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 84%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=================================== FAILURES ===================================
______________________ test_parallel_block_select_by_tags ______________________


music_streaming_data = <merlin.io.dataset.Dataset object at 0x7fa70c0a59a0>


def test_parallel_block_select_by_tags(music_streaming_data):
    continuous_block = mm.Filter(Tags.CONTINUOUS)
    embedding_block = mm.EmbeddingFeatures.from_schema(
        music_streaming_data.schema.select_by_tag(Tags.CATEGORICAL)
    )
    branches = {"continuous": continuous_block, "embedding": embedding_block}
    parallel_block = mm.ParallelBlock(branches, schema=music_streaming_data.schema)

    continuous_tags = parallel_block.select_by_tag(Tags.CONTINUOUS)
    assert isinstance(continuous_tags, mm.ParallelBlock)
    assert sorted(continuous_tags.schema.column_names) == ["item_recency", "position", "user_age"]

    categorical_tags = parallel_block.select_by_tag(Tags.CATEGORICAL)
    assert sorted(categorical_tags.schema.column_names) == [
        "country",
        "item_category",
        "item_genres",
        "item_id",
        "session_id",
        "user_genres",
        "user_id",
    ]

    item_tags = parallel_block.select_by_tag(Tags.ITEM)
    assert sorted(item_tags.schema.column_names) == [
        "item_category",
        "item_genres",
        "item_id",
        "item_recency",
    ]
    user_tags = parallel_block.select_by_tag([Tags.ITEM, Tags.USER])





  assert sorted(user_tags.schema.column_names) == [





        "country",
        "item_category",
        "item_genres",
        "item_id",
        "item_recency",
        "user_age",
        "user_genres",
    ]



E       AssertionError: assert ['country', '...ser_age', ...] == ['country', '...ser_age', ...]
E         Left contains one more item: 'user_id'
E         Full diff:
E           [
E            'country',
E            'item_category',
E            'item_genres',
E            'item_id',
E            'item_recency',
E            'user_age',
E            'user_genres',
E         +  'user_id',
E           ]


tests/unit/tf/core/test_combinators.py:137: AssertionError
=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filemdcjsbdv.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
===== 1 failed, 667 passed, 11 skipped, 1014 warnings in 954.13s (0:15:54) =====
Build step 'Execute shell' marked build as failure
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins17760923575794546008.sh

nvidia-merlin-bot avatar Aug 31 '22 03:08 nvidia-merlin-bot

Documentation preview

https://nvidia-merlin.github.io/models/review/pr-701

github-actions[bot] avatar Aug 31 '22 03:08 github-actions[bot]

Click to view CI Results
GitHub pull request #701 of commit 7d80deab4a07dcae04cfd2c156d51168527a1d7e, no merge conflicts.
Running as SYSTEM
Setting status of 7d80deab4a07dcae04cfd2c156d51168527a1d7e to PENDING with url https://10.20.13.93:8080/job/merlin_models/1096/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 7d80deab4a07dcae04cfd2c156d51168527a1d7e^{commit} # timeout=10
Checking out Revision 7d80deab4a07dcae04cfd2c156d51168527a1d7e (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 7d80deab4a07dcae04cfd2c156d51168527a1d7e # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk e5b0813a50767ca2ef88f5f90ea89dad940b4197 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins12599765928684287994.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 679 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
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tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  5%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 24%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s........F...........             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 31%]
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tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
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tests/unit/xgb/test_xgboost.py ....................                      [100%]


=================================== FAILURES ===================================
______________________ test_parallel_block_select_by_tags ______________________


music_streaming_data = <merlin.io.dataset.Dataset object at 0x7f6cf71842b0>


def test_parallel_block_select_by_tags(music_streaming_data):
    continuous_block = mm.Filter(Tags.CONTINUOUS)
    embedding_block = mm.EmbeddingFeatures.from_schema(
        music_streaming_data.schema.select_by_tag(Tags.CATEGORICAL)
    )
    branches = {"continuous": continuous_block, "embedding": embedding_block}
    parallel_block = mm.ParallelBlock(branches, schema=music_streaming_data.schema)

    continuous_tags = parallel_block.select_by_tag(Tags.CONTINUOUS)
    assert isinstance(continuous_tags, mm.ParallelBlock)
    assert sorted(continuous_tags.schema.column_names) == ["item_recency", "position", "user_age"]

    categorical_tags = parallel_block.select_by_tag(Tags.CATEGORICAL)
    assert sorted(categorical_tags.schema.column_names) == [
        "country",
        "item_category",
        "item_genres",
        "item_id",
        "session_id",
        "user_genres",
        "user_id",
    ]

    item_tags = parallel_block.select_by_tag(Tags.ITEM)
    assert sorted(item_tags.schema.column_names) == [
        "item_category",
        "item_genres",
        "item_id",
        "item_recency",
    ]
    user_tags = parallel_block.select_by_tag([Tags.ITEM, Tags.USER])





  assert sorted(user_tags.schema.column_names) == [





        "country",
        "item_category",
        "item_genres",
        "item_id",
        "item_recency",
        "user_age",
        "user_genres",
    ]



E       AssertionError: assert ['country', '...ser_age', ...] == ['country', '...ser_age', ...]
E         Left contains one more item: 'user_id'
E         Full diff:
E           [
E            'country',
E            'item_category',
E            'item_genres',
E            'item_id',
E            'item_recency',
E            'user_age',
E            'user_genres',
E         +  'user_id',
E           ]


tests/unit/tf/core/test_combinators.py:137: AssertionError
=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filepvkav4t4.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
===== 1 failed, 667 passed, 11 skipped, 1014 warnings in 957.02s (0:15:57) =====
Build step 'Execute shell' marked build as failure
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins8304059414835126060.sh

nvidia-merlin-bot avatar Aug 31 '22 09:08 nvidia-merlin-bot

Just to double-check, does the current implementation of this method returns branches that contain at least one feature with the filter tag or only columns that contains the Tag. I think the latter would be preferred. For example, let's say I want to filter only sequential features (Tags.SEQUENCE / Tags.LIST). Typically sequential features might be in both "categorical" (e.g. sequence of product ids) and "continuous" (sequence of product prices) branches. If a user calls select_by_tag(Tags.SEQUENCE), he would hope that only sequential features are returned, and not the whole "categorical" and "continuous" branches because they contain sequential features.

@gabrielspmoreira It's the former with this implementation, i.e., we return categorical and continuous branches with filtered columns if the user had those branches in the original parallel block before the filtering. Wouldn't the user want to keep the whole categorical and continuous branches if they were both in the original parallel block and they both contain sequential features?

One option would be to add an optional parameter, something like return_columns_only=True, and return only the columns if True and keep the original branches if False. I'm not sure what the default behavior should be though. I would have guessed return_columns_only=False would be a preferred default.

edknv avatar Aug 31 '22 15:08 edknv

Click to view CI Results
GitHub pull request #701 of commit f7d8c53b05f29788cca2ec1c90aee8c0589fe699, no merge conflicts.
Running as SYSTEM
Setting status of f7d8c53b05f29788cca2ec1c90aee8c0589fe699 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1106/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse f7d8c53b05f29788cca2ec1c90aee8c0589fe699^{commit} # timeout=10
Checking out Revision f7d8c53b05f29788cca2ec1c90aee8c0589fe699 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f f7d8c53b05f29788cca2ec1c90aee8c0589fe699 # timeout=10
Commit message: "Merge branch 'parallel_select_by_tag' of github.com:edknv/models into parallel_select_by_tag"
 > git rev-list --no-walk bdbc56539380c1722c65b70715208eb5c744f149 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins18071758690471717943.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 679 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  5%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 24%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 31%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ....                                  [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
..                                                                       [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 83%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 84%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_file4k8dyc8n.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 668 passed, 11 skipped, 1014 warnings in 947.77s (0:15:47) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins17173622405257794792.sh

nvidia-merlin-bot avatar Sep 01 '22 01:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit a8a143640fb91afc4af0f1df81a323c9268f1ac8, no merge conflicts.
Running as SYSTEM
Setting status of a8a143640fb91afc4af0f1df81a323c9268f1ac8 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1107/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse a8a143640fb91afc4af0f1df81a323c9268f1ac8^{commit} # timeout=10
Checking out Revision a8a143640fb91afc4af0f1df81a323c9268f1ac8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f a8a143640fb91afc4af0f1df81a323c9268f1ac8 # timeout=10
Commit message: "cleanup"
 > git rev-list --no-walk f7d8c53b05f29788cca2ec1c90aee8c0589fe699 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins9660852893980544957.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
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Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.9.1)
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Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (22.1.0)
Requirement already satisfied: importlib-resources>=1.4.0; python_version =2.6->nbformat>=5.0.4->testbook) (5.9.0)
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Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.1)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.2)
Requirement already satisfied: zipp>=3.1.0; python_version =1.4.0; python_version jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 679 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  5%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 24%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 31%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ....                                  [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
..                                                                       [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 83%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 84%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filetjv52u1l.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 668 passed, 11 skipped, 1014 warnings in 945.93s (0:15:45) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins16022290712096524607.sh

nvidia-merlin-bot avatar Sep 01 '22 01:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 27f47e11b34bd2d68b1e2b2393d3564d7b9d421b, no merge conflicts.
Running as SYSTEM
Setting status of 27f47e11b34bd2d68b1e2b2393d3564d7b9d421b to PENDING with url https://10.20.13.93:8080/job/merlin_models/1108/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 27f47e11b34bd2d68b1e2b2393d3564d7b9d421b^{commit} # timeout=10
Checking out Revision 27f47e11b34bd2d68b1e2b2393d3564d7b9d421b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 27f47e11b34bd2d68b1e2b2393d3564d7b9d421b # timeout=10
Commit message: "EmbeddingFeatures -> Embeddings"
 > git rev-list --no-walk a8a143640fb91afc4af0f1df81a323c9268f1ac8 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins12110335572469416054.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 679 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  5%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 24%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 31%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ....                                  [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
..                                                                       [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 83%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 84%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileffipxaqe.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 668 passed, 11 skipped, 1014 warnings in 941.75s (0:15:41) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins7131431960726556008.sh

nvidia-merlin-bot avatar Sep 01 '22 01:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit be72b6bc2c271dcc01f252e15b3831f789aae778, no merge conflicts.
Running as SYSTEM
Setting status of be72b6bc2c271dcc01f252e15b3831f789aae778 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1109/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse be72b6bc2c271dcc01f252e15b3831f789aae778^{commit} # timeout=10
Checking out Revision be72b6bc2c271dcc01f252e15b3831f789aae778 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f be72b6bc2c271dcc01f252e15b3831f789aae778 # timeout=10
Commit message: "lint"
 > git rev-list --no-walk 27f47e11b34bd2d68b1e2b2393d3564d7b9d421b # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3411582829434330581.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 679 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  5%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 24%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 31%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ....                                  [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
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tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
..                                                                       [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 83%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 84%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filesase63dq.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 668 passed, 11 skipped, 1014 warnings in 946.63s (0:15:46) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins9723413532150683224.sh

nvidia-merlin-bot avatar Sep 01 '22 01:09 nvidia-merlin-bot

I think it could be useful to add some better docs around this method since it might be slightly confusing for users. This because we select branches by features and not by branch-name. I started with trying to explain it better in this issue.

marcromeyn avatar Sep 01 '22 07:09 marcromeyn

returns branches that contain at least one feature with the filter tag or only columns that contains the Tag.

@gabrielspmoreira Are you thinking of the case where a branch of the ParallelBlock is itself another ParallelBlock that we can also call select_by_tag on? or something else?

If we wanted some other way to select sub-sets of branches, we'd need to come up with a mechanism for them to declare how to be sub-selected (perhaps a check for the attribute select_by_tag would work. And if there are other types of blocks that are valid to select a subset of by tag we could implement this method).

One thing about the logic 'filter branches that contain at least one feature with the tag' - We may run into issues if a branch requires all features (or a superset of those specified by the tag). Depending on the expectations about how this tag affects the input features to these branches. If for example a branch inputs contains features tagged with ({"user", "item"}) and requires all of them to function correctly and we call .select_by_tag("user"), this will return the branch expecting both user and item features to be passed.

We might need a way to specify on a branch schema which features are required/optional. And potentially an option to select_by_tag to control whether the branch selection criteria is 'at least one input feature with the tag' or 'all input features with the tag'

oliverholworthy avatar Sep 01 '22 10:09 oliverholworthy

Just to double-check, does the current implementation of this method returns branches that contain at least one feature with the filter tag or only columns that contains the Tag. I think the latter would be preferred. For example, let's say I want to filter only sequential features (Tags.SEQUENCE / Tags.LIST). Typically sequential features might be in both "categorical" (e.g. sequence of product ids) and "continuous" (sequence of product prices) branches. If a user calls select_by_tag(Tags.SEQUENCE), he would hope that only sequential features are returned, and not the whole "categorical" and "continuous" branches because they contain sequential features.

@gabrielspmoreira It's the former with this implementation, i.e., we return categorical and continuous branches with filtered columns if the user had those branches in the original parallel block before the filtering. Wouldn't the user want to keep the whole categorical and continuous branches if they were both in the original parallel block and they both contain sequential features?

One option would be to add an optional parameter, something like return_columns_only=True, and return only the columns if True and keep the original branches if False. I'm not sure what the default behavior should be though. I would have guessed return_columns_only=False would be a preferred default.

Hi @edknv , I agree the preferred way in your example would be returning categorical and continuous branches as in the original branches, but keeping only the filtered columns (e.g. with the Tags.SEQUENCE) within those branches. And if one of the branches does not have any column with the filter tag, then that empty branch would not be included in the output. I also like your idea of having return_columns_only as an option, by default False. What are your thoughts here @marcromeyn ?

gabrielspmoreira avatar Sep 01 '22 15:09 gabrielspmoreira

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Commit message: "Implement select_by_tag in EmbeddingTable and TabularBlock"
 > git rev-list --no-walk e4c777ceda6d7b063c6f7df40fb181c47dfc9002 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins6787342370985994785.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 681 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
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tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py .....                                 [ 32%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
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tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
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tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
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tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
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tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
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tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
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tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
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tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:815: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filejl746rs0.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 670 passed, 11 skipped, 1015 warnings in 946.04s (0:15:46) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins18057891199601127448.sh

nvidia-merlin-bot avatar Sep 06 '22 05:09 nvidia-merlin-bot

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GitHub pull request #701 of commit c738c87b404ad7e4ce5b90d75acb91a985f9e4be, no merge conflicts.
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Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse c738c87b404ad7e4ce5b90d75acb91a985f9e4be^{commit} # timeout=10
Checking out Revision c738c87b404ad7e4ce5b90d75acb91a985f9e4be (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c738c87b404ad7e4ce5b90d75acb91a985f9e4be # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk 3ac8630683d6c7b92d0a7a2a2c106a7c7acd6c87 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins448820961980311954.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 684 items

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tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
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=================================== FAILURES ===================================
______________________ test_parallel_block_select_by_tags ______________________


music_streaming_data = <merlin.io.dataset.Dataset object at 0x7fc392267550>


def test_parallel_block_select_by_tags(music_streaming_data):
    continuous_block = mm.Filter(Tags.CONTINUOUS)
    embedding_block = mm.Embeddings(
        schema=music_streaming_data.schema.select_by_tag(Tags.CATEGORICAL)
    )
    branches = {"continuous": continuous_block, "embeddings": embedding_block}
    parallel_block = mm.ParallelBlock(branches, schema=music_streaming_data.schema)

    continuous_tags = parallel_block.select_by_tag(Tags.CONTINUOUS)
    assert isinstance(continuous_tags, mm.ParallelBlock)
    assert "embeddings" not in continuous_tags.schema
    assert sorted(continuous_tags.schema["continuous"].column_names) == [
        "item_recency",
        "position",
        "user_age",
    ]

    categorical_tags = parallel_block.select_by_tag(Tags.CATEGORICAL)
    assert "continuous" not in categorical_tags.schema





  assert sorted(categorical_tags.schema["embeddings"].column_names) == [





        "country",
        "item_category",
        "item_genres",
        "item_id",
        "session_id",
        "user_genres",
        "user_id",
    ]



E       AssertionError: assert ['country', '...d', 'user_id'] == ['country', '..._genres', ...]
E         At index 1 diff: 'genres' != 'item_category'
E         Right contains one more item: 'user_id'
E         Full diff:
E           [
E            'country',
E         +  'genres',
E            'item_category',
E         -  'item_genres',
E            'item_id',
E            'session_id',
E         -  'user_genres',
E            'user_id',
E           ]


tests/unit/tf/core/test_combinators.py:121: AssertionError
=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:887: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_file9qtcbw6o.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
===== 1 failed, 672 passed, 11 skipped, 1015 warnings in 947.90s (0:15:47) =====
Build step 'Execute shell' marked build as failure
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins2367082508132987022.sh

nvidia-merlin-bot avatar Sep 06 '22 06:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 04597485a9d5fef7db2c34ecf6e86ce6b27a9ed4, no merge conflicts.
Running as SYSTEM
Setting status of 04597485a9d5fef7db2c34ecf6e86ce6b27a9ed4 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1153/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 04597485a9d5fef7db2c34ecf6e86ce6b27a9ed4^{commit} # timeout=10
Checking out Revision 04597485a9d5fef7db2c34ecf6e86ce6b27a9ed4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 04597485a9d5fef7db2c34ecf6e86ce6b27a9ed4 # timeout=10
Commit message: "Update EmbeddingTable.select_by_tag() to handle shared embeddings"
 > git rev-list --no-walk 308434590a6b3d33553bd7b8059d6594c4bd0067 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11528486345404220423.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 684 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py .....                                 [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 38%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 41%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 47%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 73%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:912: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_file30kjrama.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 673 passed, 11 skipped, 1015 warnings in 942.90s (0:15:42) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins12600719385449919419.sh

nvidia-merlin-bot avatar Sep 07 '22 00:09 nvidia-merlin-bot

Update:

I changed the approach so that ParallelBlock calls the select_by_tag method of the branches: EmbeddingTable and TabularBlock. Now, ParallelBlock simply calls EmbeddingTable.select_by_tag() and TabularBlock.select_by_tag() (and also Filter.select_by_tag.

With the previous implementation, the schema change was not being propagated to the branches, so even though the ParallelBlock's schema was filtered correctly, the output features were not being filtered correctly. That is, the following didn't work with the previous implemention, but now it does:

    batch = mm.sample_batch(music_streaming_data, batch_size=10, include_targets=False)
    continuous_outputs = continuous_inputs(batch)
    assert sorted(continuous_outputs.keys()) == sorted(continuous_inputs.schema.column_names)

Also, more on Gabriel's earlier point:

Just to double-check, does the current implementation of this method returns branches that contain at least one feature with the filter tag or only columns that contains the Tag. I think the latter would be preferred. I double-checked and compared the output formats of ParallelBlock with and without select_by_tag, and realized that I was doing it wrong. ParallelBlock should not have the branch names in its schema (the branch names are in the attribute parallel_layers) and it had only the columns in the schema. Thus, now it's changed so that even after select_by_tag the schema has only column that contains the tags.

edknv avatar Sep 07 '22 03:09 edknv

Note: I'm not sure why tensorflow/examples test is failing and can't reproduce it locally. On my local machine, all tests under examples passed.

edknv avatar Sep 07 '22 03:09 edknv

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GitHub pull request #701 of commit b5e31e622d216b83709d6d5f206015e286ac1070, no merge conflicts.
Running as SYSTEM
Setting status of b5e31e622d216b83709d6d5f206015e286ac1070 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1165/console and message: 'Pending'
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Building on master in workspace /var/jenkins_home/workspace/merlin_models
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 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
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 > git rev-parse b5e31e622d216b83709d6d5f206015e286ac1070^{commit} # timeout=10
Checking out Revision b5e31e622d216b83709d6d5f206015e286ac1070 (detached)
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 > git checkout -f b5e31e622d216b83709d6d5f206015e286ac1070 # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk 441abab34361251505eecf951a2c2b57c3ddf2d6 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins17485714010876479565.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 685 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
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tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
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tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
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tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
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tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
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tests/unit/torch/features/test_tabular.py ....                           [ 87%]
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tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
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tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=================================== FAILURES ===================================
_____________________________ test_soft_embedding ______________________________


def test_soft_embedding():
    embeddings_dim = 16
    num_embeddings = 64

    soft_embedding = ml.SoftEmbedding(num_embeddings, embeddings_dim)
    assert soft_embedding.embedding_table.weight.shape == torch.Size(
        [num_embeddings, embeddings_dim]
    ), "Internal soft embedding table does not have the expected shape"

    batch_size = 10
    seq_length = 20
    cont_feature_inputs = torch.rand((batch_size, seq_length))
    output = soft_embedding(cont_feature_inputs)

    assert output.shape == torch.Size(
        [batch_size, seq_length, embeddings_dim]
    ), "Soft embedding output has not the expected shape"

    # Checking the default embedding initialization





  assert output.detach().numpy().mean() == pytest.approx(0.0, abs=0.1)





E       assert 0.104655236 == 0.0 ± 1.0e-01
E         comparison failed
E         Obtained: 0.10465523600578308
E         Expected: 0.0 ± 1.0e-01


tests/unit/torch/features/test_embedding.py:182: AssertionError
=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:912: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filempxx5s5q.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
===== 1 failed, 673 passed, 11 skipped, 1020 warnings in 955.30s (0:15:55) =====
Build step 'Execute shell' marked build as failure
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins15578498251987317033.sh

nvidia-merlin-bot avatar Sep 07 '22 13:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 020782811cfcaf7a12385678a0dc72acdc0a98e3, no merge conflicts.
Running as SYSTEM
Setting status of 020782811cfcaf7a12385678a0dc72acdc0a98e3 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1167/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 020782811cfcaf7a12385678a0dc72acdc0a98e3^{commit} # timeout=10
Checking out Revision 020782811cfcaf7a12385678a0dc72acdc0a98e3 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 020782811cfcaf7a12385678a0dc72acdc0a98e3 # timeout=10
Commit message: "Merge branch 'parallel_select_by_tag' of github.com:edknv/models into parallel_select_by_tag"
 > git rev-list --no-walk 6bb1a73077529329641e8ca32352633faaee7219 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3431630448979111597.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 685 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py .....                                 [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 38%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 73%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:913: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filebtybkxvx.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 674 passed, 11 skipped, 1020 warnings in 956.23s (0:15:56) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins15959255566014515692.sh

nvidia-merlin-bot avatar Sep 08 '22 01:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit bc1684719b2086505c644b642ec5c1155555293c, no merge conflicts.
Running as SYSTEM
Setting status of bc1684719b2086505c644b642ec5c1155555293c to PENDING with url https://10.20.13.93:8080/job/merlin_models/1184/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse bc1684719b2086505c644b642ec5c1155555293c^{commit} # timeout=10
Checking out Revision bc1684719b2086505c644b642ec5c1155555293c (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f bc1684719b2086505c644b642ec5c1155555293c # timeout=10
Commit message: "use existing table in from_config"
 > git rev-list --no-walk d8454ebe55bea1c976169d314cb4bff261615c2c # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins5544848971091042177.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 685 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py .....                                 [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 38%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 73%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:915: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileuz9fslbq.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 674 passed, 11 skipped, 1020 warnings in 954.97s (0:15:54) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins165872589725739711.sh

nvidia-merlin-bot avatar Sep 11 '22 21:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit c77e09fde46ecff065d37910dfe6f5f38758987c, no merge conflicts.
Running as SYSTEM
Setting status of c77e09fde46ecff065d37910dfe6f5f38758987c to PENDING with url https://10.20.13.93:8080/job/merlin_models/1185/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse c77e09fde46ecff065d37910dfe6f5f38758987c^{commit} # timeout=10
Checking out Revision c77e09fde46ecff065d37910dfe6f5f38758987c (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c77e09fde46ecff065d37910dfe6f5f38758987c # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk bc1684719b2086505c644b642ec5c1155555293c # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins7861078722360977761.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
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Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.9.1)
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Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (22.1.0)
Requirement already satisfied: importlib-resources>=1.4.0; python_version =2.6->nbformat>=5.0.4->testbook) (5.9.0)
Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version =2.6->nbformat>=5.0.4->testbook) (1.3.10)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.1)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.2)
Requirement already satisfied: zipp>=3.1.0; python_version =1.4.0; python_version jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 685 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 27%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py .....                                 [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 38%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 73%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:915: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:612: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filelswtyvrk.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 674 passed, 11 skipped, 1020 warnings in 961.77s (0:16:01) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins6080790517411281178.sh

nvidia-merlin-bot avatar Sep 12 '22 04:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 0fe414cf969efa918fff7b8ad54b2d203f67fbd7, no merge conflicts.
Running as SYSTEM
Setting status of 0fe414cf969efa918fff7b8ad54b2d203f67fbd7 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1209/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 0fe414cf969efa918fff7b8ad54b2d203f67fbd7^{commit} # timeout=10
Checking out Revision 0fe414cf969efa918fff7b8ad54b2d203f67fbd7 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 0fe414cf969efa918fff7b8ad54b2d203f67fbd7 # timeout=10
Commit message: "address comments"
 > git rev-list --no-walk cc99d95b2c7a2050729cdef24df05fa79af55e93 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins113268947461548207.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 686 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 32%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 73%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filerlx46xkc.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 675 passed, 11 skipped, 1020 warnings in 954.84s (0:15:54) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins13080058450836551638.sh

nvidia-merlin-bot avatar Sep 13 '22 00:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 1ebeeccd92c12d0bd66e534c4c400c20294f505b, no merge conflicts.
Running as SYSTEM
Setting status of 1ebeeccd92c12d0bd66e534c4c400c20294f505b to PENDING with url https://10.20.13.93:8080/job/merlin_models/1210/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 1ebeeccd92c12d0bd66e534c4c400c20294f505b^{commit} # timeout=10
Checking out Revision 1ebeeccd92c12d0bd66e534c4c400c20294f505b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1ebeeccd92c12d0bd66e534c4c400c20294f505b # timeout=10
Commit message: "lint"
 > git rev-list --no-walk 0fe414cf969efa918fff7b8ad54b2d203f67fbd7 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins9222463090602443274.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 686 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  9%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 32%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 68%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 73%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]
tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 81%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 83%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_file9qqpo07y.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 675 passed, 11 skipped, 1020 warnings in 954.40s (0:15:54) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins3960568621112290778.sh

nvidia-merlin-bot avatar Sep 13 '22 01:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit cc666f9f688a86de60454ff2215c6c936e353b49, no merge conflicts.
Running as SYSTEM
Setting status of cc666f9f688a86de60454ff2215c6c936e353b49 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1211/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse cc666f9f688a86de60454ff2215c6c936e353b49^{commit} # timeout=10
Checking out Revision cc666f9f688a86de60454ff2215c6c936e353b49 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f cc666f9f688a86de60454ff2215c6c936e353b49 # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk 1ebeeccd92c12d0bd66e534c4c400c20294f505b # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins12449319136564636766.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.6)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 689 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 38%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 41%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 47%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 84%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileuoattqrl.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 678 passed, 11 skipped, 1029 warnings in 959.06s (0:15:59) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins6429758274336431135.sh

nvidia-merlin-bot avatar Sep 13 '22 01:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit f5146e00a5ab89e1c6d229bb0fc2b92957648648, no merge conflicts.
Running as SYSTEM
Setting status of f5146e00a5ab89e1c6d229bb0fc2b92957648648 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1238/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse f5146e00a5ab89e1c6d229bb0fc2b92957648648^{commit} # timeout=10
Checking out Revision f5146e00a5ab89e1c6d229bb0fc2b92957648648 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f f5146e00a5ab89e1c6d229bb0fc2b92957648648 # timeout=10
Commit message: "Merge branch 'parallel_select_by_tag' of github.com:edknv/models into parallel_select_by_tag"
 > git rev-list --no-walk f545a27c869197712ef32aa078423444befb2238 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11315510013632947083.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 689 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/core/test_transformations.py s............................ [ 36%]
..................                                                       [ 38%]
tests/unit/tf/data_augmentation/test_misc.py .                           [ 38%]
tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]
tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 41%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 47%]
......                                                                   [ 48%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]
tests/unit/tf/layers/test_queue.py ..............                        [ 53%]
tests/unit/tf/losses/test_losses.py .......................              [ 56%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]
tests/unit/tf/models/test_base.py s................                      [ 63%]
tests/unit/tf/models/test_benchmark.py ..                                [ 63%]
tests/unit/tf/models/test_ranking.py ..............................      [ 67%]
tests/unit/tf/models/test_retrieval.py ................................  [ 72%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 72%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 76%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]
tests/unit/tf/predictions/test_base.py .....                             [ 78%]
tests/unit/tf/predictions/test_classification.py .......                 [ 79%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]
tests/unit/tf/predictions/test_regression.py ..                          [ 80%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 84%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 13 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/data_augmentation/test_noise.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/core/test_transformations.py: 10 warnings
tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filelzxtgeyk.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]
tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 678 passed, 11 skipped, 1029 warnings in 959.44s (0:15:59) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins4060948097221782833.sh

nvidia-merlin-bot avatar Sep 14 '22 17:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 9ba9c991f80618b112680d8ba9eaef24d15ba64d, no merge conflicts.
Running as SYSTEM
Setting status of 9ba9c991f80618b112680d8ba9eaef24d15ba64d to PENDING with url https://10.20.13.93:8080/job/merlin_models/1239/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 9ba9c991f80618b112680d8ba9eaef24d15ba64d^{commit} # timeout=10
Checking out Revision 9ba9c991f80618b112680d8ba9eaef24d15ba64d (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9ba9c991f80618b112680d8ba9eaef24d15ba64d # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk f5146e00a5ab89e1c6d229bb0fc2b92957648648 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3345113838547208951.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 689 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 32%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 32%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 32%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 32%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 32%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 33%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 33%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 38%]
......                                                                   [ 39%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 42%]
tests/unit/tf/layers/test_queue.py ..............                        [ 44%]
tests/unit/tf/losses/test_losses.py .......................              [ 47%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 48%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 51%]
tests/unit/tf/models/test_base.py s.................                     [ 54%]
tests/unit/tf/models/test_benchmark.py ..                                [ 54%]
tests/unit/tf/models/test_ranking.py ..............................      [ 58%]
tests/unit/tf/models/test_retrieval.py ................................  [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 63%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 66%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 67%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 67%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 68%]
tests/unit/tf/predictions/test_base.py .....                             [ 69%]
tests/unit/tf/predictions/test_classification.py .......                 [ 70%]
tests/unit/tf/predictions/test_dot_product.py ........                   [ 71%]
tests/unit/tf/predictions/test_regression.py ..                          [ 71%]
tests/unit/tf/predictions/test_sampling.py ....                          [ 72%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 72%]
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tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_tensor.py ..                               [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 84%]
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tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/transforms/test_bias.py: 2 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/transforms/test_noise.py: 1 warning
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/predictions/test_base.py: 5 warnings
tests/unit/tf/predictions/test_classification.py: 7 warnings
tests/unit/tf/predictions/test_dot_product.py: 8 warnings
tests/unit/tf/predictions/test_regression.py: 2 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/predictions/test_classification.py: 12 warnings
tests/unit/tf/predictions/test_dot_product.py: 2 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filevae0071m.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:481: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 678 passed, 11 skipped, 1028 warnings in 955.53s (0:15:55) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins4653121400168694443.sh

nvidia-merlin-bot avatar Sep 14 '22 17:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 956560863af5f0c6d530be89c71b6fe2d7a95a1f, no merge conflicts.
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Setting status of 956560863af5f0c6d530be89c71b6fe2d7a95a1f to PENDING with url https://10.20.13.93:8080/job/merlin_models/1265/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
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 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 956560863af5f0c6d530be89c71b6fe2d7a95a1f^{commit} # timeout=10
Checking out Revision 956560863af5f0c6d530be89c71b6fe2d7a95a1f (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 956560863af5f0c6d530be89c71b6fe2d7a95a1f # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk 13fb8a16f3d99e52642b78f46aa4c8feb1d548ab # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins12517361688754860453.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.1)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.2)
Requirement already satisfied: zipp>=3.1.0; python_version =1.4.0; python_version jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 689 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 32%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 32%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 32%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 32%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 32%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 33%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 33%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 38%]
......                                                                   [ 39%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 42%]
tests/unit/tf/layers/test_queue.py ..............                        [ 44%]
tests/unit/tf/losses/test_losses.py .......................              [ 47%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 48%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 51%]
tests/unit/tf/models/test_base.py s......F..........                     [ 54%]
tests/unit/tf/models/test_benchmark.py ..                                [ 54%]
tests/unit/tf/models/test_ranking.py ..............................      [ 58%]
tests/unit/tf/models/test_retrieval.py ................................  [ 63%]
tests/unit/tf/outputs/test_base.py .....                                 [ 64%]
tests/unit/tf/outputs/test_classification.py ......                      [ 65%]
tests/unit/tf/outputs/test_contrastive.py .........                      [ 66%]
tests/unit/tf/outputs/test_regression.py ..                              [ 66%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 67%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 67%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 70%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 71%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 71%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 72%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 72%]
tests/unit/tf/transforms/test_features.py s............................. [ 77%]
.............                                                            [ 78%]
tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_tensor.py ..                               [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 84%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=================================== FAILURES ===================================
____________________ test_train_metrics_steps[60-10-2-6-3] _____________________


num_rows = 60, batch_size = 10, train_metrics_steps = 2, expected_steps = 6
expected_metrics_steps = 3


@pytest.mark.parametrize(
    ["num_rows", "batch_size", "train_metrics_steps", "expected_steps", "expected_metrics_steps"],
    [
        (1, 1, 1, 1, 1),
        (60, 10, 2, 6, 3),
        (60, 10, 3, 6, 2),
        (120, 10, 4, 12, 3),
    ],
)
def test_train_metrics_steps(
    num_rows, batch_size, train_metrics_steps, expected_steps, expected_metrics_steps
):
    dataset = generate_data("e-commerce", num_rows=num_rows)
    model = ml.Model(
        ml.InputBlock(dataset.schema),
        ml.MLPBlock([64]),
        ml.BinaryClassificationTask("click"),
    )
    model.compile(
        run_eagerly=True,
        optimizer="adam",
        metrics=[tf.keras.metrics.AUC(from_logits=True, name="auc")],
    )
    metrics_callback = MetricsLogger()
    callbacks = [metrics_callback]
    _ = model.fit(
        dataset,
        callbacks=callbacks,
        epochs=1,
        batch_size=batch_size,
        train_metrics_steps=train_metrics_steps,
    )
    epoch0_logs = metrics_callback.epoch_logs[0]

    # number of times compute_metrics called (number of batches in epoch)
    assert len(epoch0_logs) == expected_steps

    # number of times metrics computed (every train_metrics_steps batches)





  assert len({metrics["auc"] for metrics in epoch0_logs}) == expected_metrics_steps





E       assert 2 == 3
E        +  where 2 = len({0.4166666567325592, 0.53125})


tests/unit/tf/models/test_base.py:161: AssertionError
----------------------------- Captured stdout call -----------------------------


1/6 [====>.........................] - ETA: 2s - loss: 0.6968 - auc: 0.4167 - regularization_loss: 0.0000e+00
2/6 [=========>....................] - ETA: 0s - loss: 0.7049 - auc: 0.4167 - regularization_loss: 0.0000e+00
3/6 [==============>...............] - ETA: 0s - loss: 0.6969 - auc: 0.5312 - regularization_loss: 0.0000e+00
4/6 [===================>..........] - ETA: 0s - loss: 0.7000 - auc: 0.5312 - regularization_loss: 0.0000e+00
5/6 [========================>.....] - ETA: 0s - loss: 0.6989 - auc: 0.5312 - regularization_loss: 0.0000e+00
6/6 [==============================] - ETA: 0s - loss: 0.6960 - auc: 0.5312 - regularization_loss: 0.0000e+00
6/6 [==============================] - 1s 124ms/step - loss: 0.6960 - auc: 0.5312 - regularization_loss: 0.0000e+00
=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/transforms/test_bias.py: 2 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/transforms/test_noise.py: 1 warning
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]
tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]
tests/unit/tf/test_dataset.py::test_tf_catname_ordering
tests/unit/tf/test_dataset.py::test_tf_map
/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/outputs/test_contrastive.py: 2 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filewzl0v46i.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:481: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
===== 1 failed, 677 passed, 11 skipped, 1016 warnings in 937.21s (0:15:37) =====
Build step 'Execute shell' marked build as failure
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins6364638378579844239.sh

nvidia-merlin-bot avatar Sep 19 '22 22:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 6e9de9672319b896089c94ce3a094a9c7edf8cdc, no merge conflicts.
Running as SYSTEM
Setting status of 6e9de9672319b896089c94ce3a094a9c7edf8cdc to PENDING with url https://10.20.13.93:8080/job/merlin_models/1312/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 6e9de9672319b896089c94ce3a094a9c7edf8cdc^{commit} # timeout=10
Checking out Revision 6e9de9672319b896089c94ce3a094a9c7edf8cdc (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6e9de9672319b896089c94ce3a094a9c7edf8cdc # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk d20f04e475095f9fa80ac813d3089d5da4fe58ce # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins7139741222123589837.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 689 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py .                              [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 31%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 32%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 32%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 32%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 32%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 32%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 33%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 33%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 38%]
......                                                                   [ 39%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 42%]
tests/unit/tf/layers/test_queue.py ..............                        [ 44%]
tests/unit/tf/losses/test_losses.py .......................              [ 47%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 48%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 51%]
tests/unit/tf/models/test_base.py s.................                     [ 54%]
tests/unit/tf/models/test_benchmark.py ..                                [ 54%]
tests/unit/tf/models/test_ranking.py ..............................      [ 58%]
tests/unit/tf/models/test_retrieval.py ................................  [ 63%]
tests/unit/tf/outputs/test_base.py .....                                 [ 64%]
tests/unit/tf/outputs/test_classification.py ......                      [ 65%]
tests/unit/tf/outputs/test_contrastive.py .........                      [ 66%]
tests/unit/tf/outputs/test_regression.py ..                              [ 66%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 67%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 67%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 70%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 71%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 71%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 72%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 72%]
tests/unit/tf/transforms/test_features.py s............................. [ 77%]
.............                                                            [ 78%]
tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_tensor.py ..                               [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
tests/unit/torch/test_dataset.py .........                               [ 84%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 84%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 34 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/transforms/test_bias.py: 2 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/transforms/test_noise.py: 1 warning
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 32 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 16 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/outputs/test_contrastive.py: 2 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filet8s5lp1b.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:481: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


tests/unit/xgb/test_xgboost.py: 14 warnings
/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited
client.wait_for_workers(n_workers)
Enable tracemalloc to get traceback where the object was allocated.
See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.


tests/unit/xgb/test_xgboost.py: 11 warnings
/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
mask = pd.Series(mask)


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 678 passed, 11 skipped, 1033 warnings in 978.00s (0:16:18) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins4532650978376424230.sh

nvidia-merlin-bot avatar Sep 20 '22 21:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit e29e75be6bd2dd0e06f4d8596261ec03abc42406, no merge conflicts.
Running as SYSTEM
Setting status of e29e75be6bd2dd0e06f4d8596261ec03abc42406 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1318/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse e29e75be6bd2dd0e06f4d8596261ec03abc42406^{commit} # timeout=10
Checking out Revision e29e75be6bd2dd0e06f4d8596261ec03abc42406 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f e29e75be6bd2dd0e06f4d8596261ec03abc42406 # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk 008846056b811421dc95bc690903aa02aed133ca # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins9723287731049206219.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 699 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  4%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_dataset.py ................                           [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 27%]
tests/unit/tf/core/test_combinators.py s....................             [ 30%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 30%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 32%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 32%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 32%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 32%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 33%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 38%]
......                                                                   [ 39%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]
tests/unit/tf/layers/test_queue.py ..............                        [ 43%]
tests/unit/tf/losses/test_losses.py .......................              [ 47%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 51%]
tests/unit/tf/models/test_base.py s.................                     [ 53%]
tests/unit/tf/models/test_benchmark.py ..                                [ 54%]
tests/unit/tf/models/test_ranking.py ..................................  [ 58%]
tests/unit/tf/models/test_retrieval.py ................................  [ 63%]
tests/unit/tf/outputs/test_base.py .....                                 [ 64%]
tests/unit/tf/outputs/test_classification.py ......                      [ 65%]
tests/unit/tf/outputs/test_contrastive.py .........                      [ 66%]
tests/unit/tf/outputs/test_regression.py ..                              [ 66%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 67%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 67%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 70%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 71%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 71%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 72%]
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tests/unit/tf/transforms/test_features.py s............................. [ 76%]
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tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_tensor.py ..                               [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]
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tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 84%]
tests/unit/torch/block/test_mlp.py .                                     [ 85%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 87%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 89%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_interactions.py: 2 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 38 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/transforms/test_bias.py: 2 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/transforms/test_noise.py: 1 warning
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_interactions.py: 2 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 36 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_dataset.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 20 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/outputs/test_contrastive.py: 2 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filensfus4iu.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]
tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:566: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


tests/unit/xgb/test_xgboost.py: 14 warnings
/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited
client.wait_for_workers(n_workers)
Enable tracemalloc to get traceback where the object was allocated.
See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.


tests/unit/xgb/test_xgboost.py: 11 warnings
/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
mask = pd.Series(mask)


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 688 passed, 11 skipped, 1051 warnings in 973.75s (0:16:13) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins900473146444933678.sh

nvidia-merlin-bot avatar Sep 21 '22 05:09 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #701 of commit 2af9a1f785ec5925be056f1740327e978c9f293d, no merge conflicts.
Running as SYSTEM
Setting status of 2af9a1f785ec5925be056f1740327e978c9f293d to PENDING with url https://10.20.13.93:8080/job/merlin_models/1320/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_models
using credential nvidia-merlin-bot
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
 > git --version # timeout=10
using GIT_ASKPASS to set credentials This is the bot credentials for our CI/CD
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/701/*:refs/remotes/origin/pr/701/* # timeout=10
 > git rev-parse 2af9a1f785ec5925be056f1740327e978c9f293d^{commit} # timeout=10
Checking out Revision 2af9a1f785ec5925be056f1740327e978c9f293d (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 2af9a1f785ec5925be056f1740327e978c9f293d # timeout=10
Commit message: "Merge branch 'main' into parallel_select_by_tag"
 > git rev-list --no-walk 008846056b811421dc95bc690903aa02aed133ca # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins15791558927347833581.sh
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 701 items

tests/unit/config/test_schema.py ....                                    [  0%]
tests/unit/datasets/test_advertising.py .s                               [  0%]
tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]
tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]
tests/unit/datasets/test_social.py .                                     [  2%]
tests/unit/datasets/test_synthetic.py ......                             [  3%]
tests/unit/implicit/test_implicit.py .                                   [  3%]
tests/unit/lightfm/test_lightfm.py .                                     [  3%]
tests/unit/tf/test_core.py ......                                        [  4%]
tests/unit/tf/test_loader.py ................                            [  7%]
tests/unit/tf/test_public_api.py .                                       [  7%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]
.....................                                                    [ 23%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]
tests/unit/tf/core/test_aggregation.py .........                         [ 26%]
tests/unit/tf/core/test_base.py ..                                       [ 26%]
tests/unit/tf/core/test_combinators.py s....................             [ 29%]
tests/unit/tf/core/test_encoder.py .                                     [ 30%]
tests/unit/tf/core/test_index.py ...                                     [ 30%]
tests/unit/tf/core/test_prediction.py ..                                 [ 30%]
tests/unit/tf/core/test_tabular.py ......                                [ 31%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 32%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 32%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 32%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 38%]
......                                                                   [ 39%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]
tests/unit/tf/layers/test_queue.py ..............                        [ 43%]
tests/unit/tf/losses/test_losses.py .......................              [ 47%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 51%]
tests/unit/tf/models/test_base.py s.................                     [ 53%]
tests/unit/tf/models/test_benchmark.py ..                                [ 53%]
tests/unit/tf/models/test_ranking.py ..................................  [ 58%]
tests/unit/tf/models/test_retrieval.py ................................  [ 63%]
tests/unit/tf/outputs/test_base.py .....                                 [ 64%]
tests/unit/tf/outputs/test_classification.py ......                      [ 64%]
tests/unit/tf/outputs/test_contrastive.py .........                      [ 66%]
tests/unit/tf/outputs/test_regression.py ..                              [ 66%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 67%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 67%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 70%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 71%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 71%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 72%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 72%]
tests/unit/tf/transforms/test_features.py s............................. [ 76%]
...................                                                      [ 79%]
tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_tensor.py ..                               [ 81%]
tests/unit/tf/utils/test_batch.py ....                                   [ 82%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]
tests/unit/torch/test_dataset.py .........                               [ 84%]
tests/unit/torch/test_public_api.py .                                    [ 84%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 85%]
tests/unit/torch/features/test_continuous.py ..                          [ 85%]
tests/unit/torch/features/test_embedding.py ..............               [ 87%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 89%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]
tests/unit/utils/test_schema_utils.py ................................   [ 97%]
tests/unit/xgb/test_xgboost.py ....................                      [100%]


=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/requests/init.py:89
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!
warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
'nearest': pil_image.NEAREST,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
'bilinear': pil_image.BILINEAR,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
'bicubic': pil_image.BICUBIC,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.
'hamming': pil_image.HAMMING,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.
'box': pil_image.BOX,


../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41
/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.
'lanczos': pil_image.LANCZOS,


tests/unit/datasets/test_advertising.py: 1 warning
tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 6 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_loader.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_interactions.py: 2 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 8 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 38 warnings
tests/unit/tf/models/test_retrieval.py: 60 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning
tests/unit/tf/transforms/test_bias.py: 2 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/transforms/test_noise.py: 1 warning
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 3 warnings
tests/unit/xgb/test_xgboost.py: 18 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_ecommerce.py: 2 warnings
tests/unit/datasets/test_entertainment.py: 4 warnings
tests/unit/datasets/test_social.py: 1 warning
tests/unit/datasets/test_synthetic.py: 5 warnings
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_core.py: 6 warnings
tests/unit/tf/test_loader.py: 1 warning
tests/unit/tf/blocks/test_cross.py: 5 warnings
tests/unit/tf/blocks/test_dlrm.py: 9 warnings
tests/unit/tf/blocks/test_interactions.py: 2 warnings
tests/unit/tf/blocks/test_mlp.py: 26 warnings
tests/unit/tf/blocks/test_optimizer.py: 30 warnings
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings
tests/unit/tf/core/test_aggregation.py: 6 warnings
tests/unit/tf/core/test_base.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 2 warnings
tests/unit/tf/core/test_index.py: 3 warnings
tests/unit/tf/core/test_prediction.py: 2 warnings
tests/unit/tf/inputs/test_continuous.py: 4 warnings
tests/unit/tf/inputs/test_embedding.py: 19 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 17 warnings
tests/unit/tf/models/test_benchmark.py: 2 warnings
tests/unit/tf/models/test_ranking.py: 36 warnings
tests/unit/tf/models/test_retrieval.py: 32 warnings
tests/unit/tf/outputs/test_base.py: 5 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 9 warnings
tests/unit/tf/outputs/test_regression.py: 2 warnings
tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings
tests/unit/tf/transforms/test_features.py: 10 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/torch/block/test_base.py: 4 warnings
tests/unit/torch/block/test_mlp.py: 1 warning
tests/unit/torch/features/test_continuous.py: 1 warning
tests/unit/torch/features/test_embedding.py: 4 warnings
tests/unit/torch/features/test_tabular.py: 4 warnings
tests/unit/torch/model/test_head.py: 12 warnings
tests/unit/torch/model/test_model.py: 2 warnings
tests/unit/torch/tabular/test_aggregation.py: 6 warnings
tests/unit/torch/tabular/test_transformations.py: 2 warnings
tests/unit/xgb/test_xgboost.py: 17 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/datasets/test_entertainment.py: 1 warning
tests/unit/implicit/test_implicit.py: 1 warning
tests/unit/lightfm/test_lightfm.py: 1 warning
tests/unit/tf/test_loader.py: 1 warning
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings
tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings
tests/unit/tf/core/test_combinators.py: 11 warnings
tests/unit/tf/core/test_encoder.py: 1 warning
tests/unit/tf/core/test_prediction.py: 1 warning
tests/unit/tf/inputs/test_continuous.py: 2 warnings
tests/unit/tf/inputs/test_embedding.py: 9 warnings
tests/unit/tf/inputs/test_tabular.py: 8 warnings
tests/unit/tf/models/test_ranking.py: 20 warnings
tests/unit/tf/models/test_retrieval.py: 4 warnings
tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings
tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings
tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings
tests/unit/xgb/test_xgboost.py: 12 warnings
/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].
warnings.warn(


tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export
tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))


tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working
elif isinstance(self.feature_names, collections.Sequence):


tests/unit/tf/core/test_index.py: 4 warnings
tests/unit/tf/models/test_retrieval.py: 54 warnings
tests/unit/tf/outputs/test_contrastive.py: 2 warnings
tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings
tests/unit/tf/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filec2v90u70.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead
ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)


tests/unit/tf/models/test_base.py::test_model_pre_post[True]
tests/unit/tf/models/test_base.py::test_model_pre_post[False]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]
tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.
return dispatch_target(*args, **kwargs)


tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]
tests/unit/tf/models/test_base.py::test_freeze_sequential_block
tests/unit/tf/models/test_base.py::test_freeze_unfreeze
tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks
/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.
super(SGD, self).init(name, **kwargs)


tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]
tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag
return py_builtins.overload_of(f)(*args)


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/torch/block/test_mlp.py::test_mlp_block
/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)
return {key: torch.tensor(value) for key, value in data.items()}


tests/unit/xgb/test_xgboost.py::test_without_dask_client
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]
tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]
tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple
tests/unit/xgb/test_xgboost.py::TestEvals::test_default
tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid
tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data
/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].
warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")


tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective
/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first
self.make_current()


tests/unit/xgb/test_xgboost.py: 14 warnings
/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited
client.wait_for_workers(n_workers)
Enable tracemalloc to get traceback where the object was allocated.
See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.


tests/unit/xgb/test_xgboost.py: 11 warnings
/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.
mask = pd.Series(mask)


-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========== 690 passed, 11 skipped, 1051 warnings in 989.54s (0:16:29) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins1101265496836561804.sh

nvidia-merlin-bot avatar Sep 21 '22 07:09 nvidia-merlin-bot