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[WIP] add an example notebook explaining hyperparameter optimization using Optuna and showing retrieval on h&m data

Open radekosmulski opened this issue 3 years ago • 28 comments

We have had a couple of discussions recently on exploring using H&M data. Also, some time ago we discussed creating an example around using HPO (it can be a nice way for leveraging raw compute to improve performance, especially in contexts where specialized DL knowledge is not easily accessible or where one doesn't have the time to babysit model training, or even when both of these are available but our business case requires we deliver the best results we can).

The logo is not updated -- if we do end up deciding that this is a notebook we would like to merge, I will generate a proper tracking logo.

radekosmulski avatar Oct 05 '22 02:10 radekosmulski

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GitHub pull request #786 of commit 56b11dfed3cd99db10d21733e6beda5036ac9cf5, no merge conflicts.
Running as SYSTEM
Setting status of 56b11dfed3cd99db10d21733e6beda5036ac9cf5 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1447/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 56b11dfed3cd99db10d21733e6beda5036ac9cf5^{commit} # timeout=10
Checking out Revision 56b11dfed3cd99db10d21733e6beda5036ac9cf5 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 56b11dfed3cd99db10d21733e6beda5036ac9cf5 # timeout=10
Commit message: "update retrieval notebook"
 > git rev-list --no-walk ce186d5a478b4f3a8d6d2e6e257141151a01a0e5 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3706680724308594596.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-4.0.0
collected 743 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 21%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 24%]
tests/unit/tf/core/test_aggregation.py .........                         [ 25%]
tests/unit/tf/core/test_base.py ..                                       [ 25%]
tests/unit/tf/core/test_combinators.py s....................             [ 28%]
tests/unit/tf/core/test_encoder.py .                                     [ 28%]
tests/unit/tf/core/test_index.py ...                                     [ 28%]
tests/unit/tf/core/test_prediction.py ..                                 [ 29%]
tests/unit/tf/core/test_tabular.py ......                                [ 30%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]
[ 31%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 32%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]
......                                                                   [ 37%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]
tests/unit/tf/layers/test_queue.py ..............                        [ 41%]
tests/unit/tf/losses/test_losses.py .......................              [ 44%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]
tests/unit/tf/models/test_base.py s.................                     [ 50%]
tests/unit/tf/models/test_benchmark.py ..                                [ 51%]
tests/unit/tf/models/test_ranking.py ..................................  [ 55%]
tests/unit/tf/models/test_retrieval.py ................................  [ 60%]
tests/unit/tf/outputs/test_base.py .....                                 [ 60%]
tests/unit/tf/outputs/test_classification.py ......                      [ 61%]
tests/unit/tf/outputs/test_contrastive.py ...........                    [ 62%]
tests/unit/tf/outputs/test_regression.py ..                              [ 63%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]
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/transformers/test_block.py ..............                  [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
....................s......                                              [ 79%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 15 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/transformers/test_block.py: 3 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/transforms/test_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 15 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/transformers/test_block.py: 3 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_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileo3l0xhje.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 731 passed, 12 skipped, 1128 warnings in 1113.18s (0:18:33) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins2102451308172915868.sh

nvidia-merlin-bot avatar Oct 05 '22 02:10 nvidia-merlin-bot

@radekosmulski thanks for this notebook. I think this is a useful notebook. I added my comments. I will go ahead one more time after you address my comments. thanks.

rnyak avatar Oct 05 '22 13:10 rnyak

thank you very much for the review, @rnyak! 🙂

I verified that this works with changes from main. I also added a bit more prose around interpreting results and a couple of graphs that can be used for diagnostics.

I also implemented the changes you suggested, thank you very much for them!

radekosmulski avatar Oct 06 '22 03:10 radekosmulski

Click to view CI Results
GitHub pull request #786 of commit daad1d0ceb6b0175cb5bf59d3000109b052ed7f9, no merge conflicts.
Running as SYSTEM
Setting status of daad1d0ceb6b0175cb5bf59d3000109b052ed7f9 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1466/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse daad1d0ceb6b0175cb5bf59d3000109b052ed7f9^{commit} # timeout=10
Checking out Revision daad1d0ceb6b0175cb5bf59d3000109b052ed7f9 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f daad1d0ceb6b0175cb5bf59d3000109b052ed7f9 # timeout=10
Commit message: "refactor"
 > git rev-list --no-walk 79b66c7d8bc6005338f1567613a1d42c071b790d # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins17308591408589038572.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-4.0.0
collected 743 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 21%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 24%]
tests/unit/tf/core/test_aggregation.py .........                         [ 25%]
tests/unit/tf/core/test_base.py ..                                       [ 25%]
tests/unit/tf/core/test_combinators.py s....................             [ 28%]
tests/unit/tf/core/test_encoder.py .                                     [ 28%]
tests/unit/tf/core/test_index.py ...                                     [ 28%]
tests/unit/tf/core/test_prediction.py ..                                 [ 29%]
tests/unit/tf/core/test_tabular.py ......                                [ 30%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]
[ 31%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 32%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]
......                                                                   [ 37%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]
tests/unit/tf/layers/test_queue.py ..............                        [ 41%]
tests/unit/tf/losses/test_losses.py .......................              [ 44%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]
tests/unit/tf/models/test_base.py s.................                     [ 50%]
tests/unit/tf/models/test_benchmark.py ..                                [ 51%]
tests/unit/tf/models/test_ranking.py ..................................  [ 55%]
tests/unit/tf/models/test_retrieval.py ................................  [ 60%]
tests/unit/tf/outputs/test_base.py .....                                 [ 60%]
tests/unit/tf/outputs/test_classification.py ......                      [ 61%]
tests/unit/tf/outputs/test_contrastive.py ...........                    [ 62%]
tests/unit/tf/outputs/test_regression.py ..                              [ 63%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]
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/transformers/test_block.py ..............                  [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
....................s......                                              [ 79%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 15 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/transformers/test_block.py: 3 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/transforms/test_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 15 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/transformers/test_block.py: 3 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_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filehiloyz1y.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 731 passed, 12 skipped, 1128 warnings in 1110.85s (0:18:30) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins1000384510723931432.sh

nvidia-merlin-bot avatar Oct 06 '22 03:10 nvidia-merlin-bot

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Setting status of 554995164009fb9e0aa99f99c46d23bd3399cc35 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1467/console and message: 'Pending'
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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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 554995164009fb9e0aa99f99c46d23bd3399cc35^{commit} # timeout=10
Checking out Revision 554995164009fb9e0aa99f99c46d23bd3399cc35 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 554995164009fb9e0aa99f99c46d23bd3399cc35 # timeout=10
Commit message: "Merge branch 'main' into hpo_on_hm_data"
 > git rev-list --no-walk daad1d0ceb6b0175cb5bf59d3000109b052ed7f9 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins5527663392263376145.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: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.16.0)
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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-4.0.0
collected 747 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 21%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 25%]
tests/unit/tf/core/test_base.py ..                                       [ 25%]
tests/unit/tf/core/test_combinators.py s....................             [ 28%]
tests/unit/tf/core/test_encoder.py ..                                    [ 28%]
tests/unit/tf/core/test_index.py ...                                     [ 28%]
tests/unit/tf/core/test_prediction.py ..                                 [ 29%]
tests/unit/tf/core/test_tabular.py ......                                [ 29%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]
[ 31%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]
......                                                                   [ 37%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]
tests/unit/tf/layers/test_queue.py ..............                        [ 41%]
tests/unit/tf/losses/test_losses.py .......................              [ 44%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]
tests/unit/tf/models/test_base.py s...................                   [ 51%]
tests/unit/tf/models/test_benchmark.py ..                                [ 51%]
tests/unit/tf/models/test_ranking.py ..................................  [ 55%]
tests/unit/tf/models/test_retrieval.py ................................  [ 60%]
tests/unit/tf/outputs/test_base.py .....                                 [ 60%]
tests/unit/tf/outputs/test_classification.py ......                      [ 61%]
tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]
tests/unit/tf/outputs/test_regression.py ..                              [ 63%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]
tests/unit/tf/outputs/test_topk.py .                                     [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]
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/transformers/test_block.py ..............                  [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
....................s......                                              [ 79%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 22 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: 15 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/transformers/test_block.py: 3 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/transforms/test_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 22 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: 15 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/transformers/test_block.py: 3 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_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:943: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileuyk87fc7.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 735 passed, 12 skipped, 1149 warnings in 1188.10s (0:19:48) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins6103551620774999881.sh

nvidia-merlin-bot avatar Oct 06 '22 03:10 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #786 of commit 8daaadcfd953b461f53c68c6feb8e5d644a66ea6, no merge conflicts.
Running as SYSTEM
Setting status of 8daaadcfd953b461f53c68c6feb8e5d644a66ea6 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1468/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 8daaadcfd953b461f53c68c6feb8e5d644a66ea6^{commit} # timeout=10
Checking out Revision 8daaadcfd953b461f53c68c6feb8e5d644a66ea6 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 8daaadcfd953b461f53c68c6feb8e5d644a66ea6 # timeout=10
Commit message: "update codespell settings"
 > git rev-list --no-walk 554995164009fb9e0aa99f99c46d23bd3399cc35 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins14607609071235135793.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-4.0.0
collected 747 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 25%]
tests/unit/tf/core/test_base.py ..                                       [ 25%]
tests/unit/tf/core/test_combinators.py s....................             [ 28%]
tests/unit/tf/core/test_encoder.py ..                                    [ 28%]
tests/unit/tf/core/test_index.py ...                                     [ 28%]
tests/unit/tf/core/test_prediction.py ..                                 [ 29%]
tests/unit/tf/core/test_tabular.py ......                                [ 29%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]
[ 31%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]
......                                                                   [ 37%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]
tests/unit/tf/layers/test_queue.py ..............                        [ 41%]
tests/unit/tf/losses/test_losses.py .......................              [ 44%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]
tests/unit/tf/models/test_base.py s...................                   [ 51%]
tests/unit/tf/models/test_benchmark.py ..                                [ 51%]
tests/unit/tf/models/test_ranking.py ..................................  [ 55%]
tests/unit/tf/models/test_retrieval.py ................................  [ 60%]
tests/unit/tf/outputs/test_base.py .....                                 [ 60%]
tests/unit/tf/outputs/test_classification.py ......                      [ 61%]
tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]
tests/unit/tf/outputs/test_regression.py ..                              [ 63%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]
tests/unit/tf/outputs/test_topk.py .                                     [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]
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/transformers/test_block.py ..............                  [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
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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_sequence.py ........                       [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 22 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: 15 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/transformers/test_block.py: 3 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/transforms/test_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 22 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: 15 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/transformers/test_block.py: 3 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_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:943: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileqsmyetp.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 735 passed, 12 skipped, 1149 warnings in 1185.08s (0:19:45) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins13188187920104894523.sh

nvidia-merlin-bot avatar Oct 06 '22 04:10 nvidia-merlin-bot

The most recent commit adds a tracking logo I created for this nb!

radekosmulski avatar Oct 06 '22 23:10 radekosmulski

Click to view CI Results
GitHub pull request #786 of commit 458152149e431554594dd0a760a91ab84a0ae0ce, no merge conflicts.
Running as SYSTEM
Setting status of 458152149e431554594dd0a760a91ab84a0ae0ce to PENDING with url https://10.20.13.93:8080/job/merlin_models/1474/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 458152149e431554594dd0a760a91ab84a0ae0ce^{commit} # timeout=10
Checking out Revision 458152149e431554594dd0a760a91ab84a0ae0ce (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 458152149e431554594dd0a760a91ab84a0ae0ce # timeout=10
Commit message: "add proper tracking logo"
 > git rev-list --no-walk e104e9507802f4224265baa939cd05a7ecdd6c38 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins1045944608488089240.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-4.0.0
collected 747 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 21%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 25%]
tests/unit/tf/core/test_base.py ..                                       [ 25%]
tests/unit/tf/core/test_combinators.py s....................             [ 28%]
tests/unit/tf/core/test_encoder.py ..                                    [ 28%]
tests/unit/tf/core/test_index.py ...                                     [ 28%]
tests/unit/tf/core/test_prediction.py ..                                 [ 29%]
tests/unit/tf/core/test_tabular.py ......                                [ 29%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]
[ 31%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]
......                                                                   [ 37%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]
tests/unit/tf/layers/test_queue.py ..............                        [ 41%]
tests/unit/tf/losses/test_losses.py .......................              [ 44%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]
tests/unit/tf/models/test_base.py s...................                   [ 51%]
tests/unit/tf/models/test_benchmark.py ..                                [ 51%]
tests/unit/tf/models/test_ranking.py ..................................  [ 55%]
tests/unit/tf/models/test_retrieval.py ................................  [ 60%]
tests/unit/tf/outputs/test_base.py .....                                 [ 60%]
tests/unit/tf/outputs/test_classification.py ......                      [ 61%]
tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]
tests/unit/tf/outputs/test_regression.py ..                              [ 63%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]
tests/unit/tf/outputs/test_topk.py .                                     [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]
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/transformers/test_block.py ..............                  [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
....................s......                                              [ 79%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]
tests/unit/tf/transforms/test_noise.py .....                             [ 81%]
tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 22 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: 15 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/transformers/test_block.py: 3 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/transforms/test_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 22 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: 15 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/transformers/test_block.py: 3 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_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:943: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileki1kaqfg.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 735 passed, 12 skipped, 1149 warnings in 1192.98s (0:19:52) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins8585644957690981816.sh

nvidia-merlin-bot avatar Oct 07 '22 00:10 nvidia-merlin-bot

View / edit / reply to this conversation on ReviewNB

gabrielspmoreira commented on 2022-10-10T14:18:44Z ----------------------------------------------------------------

Line #1.    def calcualate_hit_rate_at_100(model):

There is typo here: "calcualate_hit_rate_at_100"


radekosmulski commented on 2022-10-19T04:54:55Z ----------------------------------------------------------------

typo fixed

review-notebook-app[bot] avatar Oct 10 '22 14:10 review-notebook-app[bot]

typo fixed

View entire conversation on ReviewNB

radekosmulski avatar Oct 19 '22 04:10 radekosmulski

Click to view CI Results
GitHub pull request #786 of commit 6dbbc0de5d30f4cb7cbeb56fa760856b3f870e63, no merge conflicts.
Running as SYSTEM
Setting status of 6dbbc0de5d30f4cb7cbeb56fa760856b3f870e63 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1535/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 6dbbc0de5d30f4cb7cbeb56fa760856b3f870e63^{commit} # timeout=10
Checking out Revision 6dbbc0de5d30f4cb7cbeb56fa760856b3f870e63 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6dbbc0de5d30f4cb7cbeb56fa760856b3f870e63 # timeout=10
Commit message: "fix typo"
 > git rev-list --no-walk 357d853bca4bc765ab24e23d6fd567c795a8024e # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3123916510614291236.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-7.1.3, 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-4.0.0
collected 747 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 21%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 25%]
tests/unit/tf/core/test_base.py ..                                       [ 25%]
tests/unit/tf/core/test_combinators.py s....................             [ 28%]
tests/unit/tf/core/test_encoder.py ..                                    [ 28%]
tests/unit/tf/core/test_index.py ...                                     [ 28%]
tests/unit/tf/core/test_prediction.py ..                                 [ 29%]
tests/unit/tf/core/test_tabular.py ......                                [ 29%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]
[ 31%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]
......                                                                   [ 37%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]
tests/unit/tf/layers/test_queue.py ..............                        [ 41%]
tests/unit/tf/losses/test_losses.py .......................              [ 44%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]
tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]
tests/unit/tf/models/test_base.py s...................                   [ 51%]
tests/unit/tf/models/test_benchmark.py ..                                [ 51%]
tests/unit/tf/models/test_ranking.py ..................................  [ 55%]
tests/unit/tf/models/test_retrieval.py ................................  [ 60%]
tests/unit/tf/outputs/test_base.py .....                                 [ 60%]
tests/unit/tf/outputs/test_classification.py ......                      [ 61%]
tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]
tests/unit/tf/outputs/test_regression.py ..                              [ 63%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]
tests/unit/tf/outputs/test_topk.py .                                     [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]
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/transformers/test_block.py ..............                  [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
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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_sequence.py ........                       [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 85%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 88%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 22 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: 15 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/transformers/test_block.py: 3 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/transforms/test_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 22 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: 15 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/transformers/test_block.py: 3 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_sequence.py: 8 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:943: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileczvld1_b.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 735 passed, 12 skipped, 1149 warnings in 1180.65s (0:19:40) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins3559052962305055229.sh

nvidia-merlin-bot avatar Oct 19 '22 05:10 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #786 of commit c63d6fe1df9fe490d467d3980031329335557fe6, no merge conflicts.
Running as SYSTEM
Setting status of c63d6fe1df9fe490d467d3980031329335557fe6 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1536/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse c63d6fe1df9fe490d467d3980031329335557fe6^{commit} # timeout=10
Checking out Revision c63d6fe1df9fe490d467d3980031329335557fe6 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c63d6fe1df9fe490d467d3980031329335557fe6 # timeout=10
Commit message: "Merge branch 'main' into hpo_on_hm_data"
 > git rev-list --no-walk 6dbbc0de5d30f4cb7cbeb56fa760856b3f870e63 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins14536538282228698202.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-4.0.0
collected 772 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [  9%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 13%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 20%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 21%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 22%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 24%]
tests/unit/tf/core/test_base.py ..                                       [ 24%]
tests/unit/tf/core/test_combinators.py s....................             [ 27%]
tests/unit/tf/core/test_encoder.py ..                                    [ 27%]
tests/unit/tf/core/test_index.py ...                                     [ 27%]
tests/unit/tf/core/test_prediction.py ..                                 [ 28%]
tests/unit/tf/core/test_tabular.py ......                                [ 29%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 29%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 29%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 29%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 29%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 29%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 29%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 29%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 30%]
[ 30%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 30%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 30%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 30%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 35%]
......                                                                   [ 36%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 38%]
tests/unit/tf/layers/test_queue.py ..............                        [ 40%]
tests/unit/tf/losses/test_losses.py .......................              [ 43%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 43%]
tests/unit/tf/metrics/test_metrics_topk.py ........................      [ 46%]
tests/unit/tf/models/test_base.py s.......................               [ 50%]
tests/unit/tf/models/test_benchmark.py ..                                [ 50%]
tests/unit/tf/models/test_ranking.py ..................................  [ 54%]
tests/unit/tf/models/test_retrieval.py ................................  [ 58%]
tests/unit/tf/outputs/test_base.py .....                                 [ 59%]
tests/unit/tf/outputs/test_classification.py ......                      [ 60%]
tests/unit/tf/outputs/test_contrastive.py .............                  [ 61%]
tests/unit/tf/outputs/test_regression.py ..                              [ 62%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 62%]
tests/unit/tf/outputs/test_topk.py .                                     [ 62%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 63%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 65%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 65%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 66%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 66%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 67%]
tests/unit/tf/transformers/test_block.py ....................            [ 69%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 70%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 70%]
tests/unit/tf/transforms/test_features.py s............................. [ 74%]
....................s......                                              [ 78%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 79%]
tests/unit/tf/transforms/test_noise.py .....                             [ 80%]
tests/unit/tf/transforms/test_sequence.py ....................           [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 83%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 86%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 89%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 26 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: 17 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/transformers/test_block.py: 15 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/transforms/test_sequence.py: 15 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 26 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: 17 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/transformers/test_block.py: 9 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_sequence.py: 15 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:943: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filenusncx8n.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/transformers/test_block.py::test_transformer_with_causal_language_modeling[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_with_causal_language_modeling[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask/GatherV2:0", shape=(None, 48), dtype=float32), dense_shape=Tensor("gradient_tape/model/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/Shape: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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/Reshape_3:0", shape=(None,), dtype=int64), values=Tensor("gradient_tape/model/gpt2_block/replace_masked_embeddings/RaggedWhere/Reshape_2:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/gpt2_block/replace_masked_embeddings/RaggedWhere/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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/RaggedTile_2/Reshape_3:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/RaggedTile_2/Reshape_3:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 760 passed, 12 skipped, 1203 warnings in 1486.95s (0:24:46) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins13349180425123324940.sh

nvidia-merlin-bot avatar Oct 19 '22 05:10 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #786 of commit de566e1d2759a43aabe76bfff9eb16b7d6c73f3a, no merge conflicts.
Running as SYSTEM
Setting status of de566e1d2759a43aabe76bfff9eb16b7d6c73f3a to PENDING with url https://10.20.13.93:8080/job/merlin_models/1537/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse de566e1d2759a43aabe76bfff9eb16b7d6c73f3a^{commit} # timeout=10
Checking out Revision de566e1d2759a43aabe76bfff9eb16b7d6c73f3a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f de566e1d2759a43aabe76bfff9eb16b7d6c73f3a # timeout=10
Commit message: "update retrieval example"
 > git rev-list --no-walk c63d6fe1df9fe490d467d3980031329335557fe6 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins9760804586178513853.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-4.0.0
collected 772 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  8%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [  9%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 13%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 20%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 21%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 22%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 24%]
tests/unit/tf/core/test_base.py ..                                       [ 24%]
tests/unit/tf/core/test_combinators.py s....................             [ 27%]
tests/unit/tf/core/test_encoder.py ..                                    [ 27%]
tests/unit/tf/core/test_index.py ...                                     [ 27%]
tests/unit/tf/core/test_prediction.py ..                                 [ 28%]
tests/unit/tf/core/test_tabular.py ......                                [ 29%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 29%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 29%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 29%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 29%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 29%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 29%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 29%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 30%]
[ 30%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 30%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 30%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 30%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 35%]
......                                                                   [ 36%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 38%]
tests/unit/tf/layers/test_queue.py ..............                        [ 40%]
tests/unit/tf/losses/test_losses.py .......................              [ 43%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 43%]
tests/unit/tf/metrics/test_metrics_topk.py ........................      [ 46%]
tests/unit/tf/models/test_base.py s.......................               [ 50%]
tests/unit/tf/models/test_benchmark.py ..                                [ 50%]
tests/unit/tf/models/test_ranking.py ..................................  [ 54%]
tests/unit/tf/models/test_retrieval.py ................................  [ 58%]
tests/unit/tf/outputs/test_base.py .....                                 [ 59%]
tests/unit/tf/outputs/test_classification.py ......                      [ 60%]
tests/unit/tf/outputs/test_contrastive.py .............                  [ 61%]
tests/unit/tf/outputs/test_regression.py ..                              [ 62%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 62%]
tests/unit/tf/outputs/test_topk.py .                                     [ 62%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 63%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 65%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 65%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 66%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 66%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 67%]
tests/unit/tf/transformers/test_block.py ....................            [ 69%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 70%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 70%]
tests/unit/tf/transforms/test_features.py s............................. [ 74%]
....................s......                                              [ 78%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 79%]
tests/unit/tf/transforms/test_noise.py .....                             [ 80%]
tests/unit/tf/transforms/test_sequence.py ....................           [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 83%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 86%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 89%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 26 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: 17 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/transformers/test_block.py: 15 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/transforms/test_sequence.py: 15 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 26 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: 17 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/transformers/test_block.py: 9 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_sequence.py: 15 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:943: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_fileff4ob5lz.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/transformers/test_block.py::test_transformer_with_causal_language_modeling[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_with_causal_language_modeling[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask/GatherV2:0", shape=(None, 48), dtype=float32), dense_shape=Tensor("gradient_tape/model/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/Shape: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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/Reshape_3:0", shape=(None,), dtype=int64), values=Tensor("gradient_tape/model/gpt2_block/replace_masked_embeddings/RaggedWhere/Reshape_2:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/gpt2_block/replace_masked_embeddings/RaggedWhere/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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/RaggedTile_2/Reshape_3:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/RaggedTile_2/Reshape_3:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 760 passed, 12 skipped, 1203 warnings in 1484.26s (0:24:44) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins11550296604598029696.sh

nvidia-merlin-bot avatar Oct 19 '22 07:10 nvidia-merlin-bot

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bschifferer commented on 2022-10-19T08:30:51Z ----------------------------------------------------------------

I wonder if we need to provide a little bit of background into HPO? Why do we want? What are parameters are examples for HP?


radekosmulski commented on 2022-10-25T01:57:30Z ----------------------------------------------------------------

added a section that gives the reasoning behind doing HPO, thank you for highlighting this, Benedikt!

review-notebook-app[bot] avatar Oct 19 '22 08:10 review-notebook-app[bot]

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bschifferer commented on 2022-10-19T08:30:52Z ----------------------------------------------------------------

We need to use df_lib instead of cuDF. This notebook would fail on CPU tests. df_lib tests, if GPU is available and uses cuDF or pandas


radekosmulski commented on 2022-10-25T02:49:38Z ----------------------------------------------------------------

made the change

review-notebook-app[bot] avatar Oct 19 '22 08:10 review-notebook-app[bot]

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bschifferer commented on 2022-10-19T08:30:53Z ----------------------------------------------------------------

Why do we filter out all customers who are not in validation?


radekosmulski commented on 2022-10-25T02:50:54Z ----------------------------------------------------------------

Added a justification:

This will speed up our experiments (we have less data to train on) and in other experiments that I ran, including all the customers doesn't lead to better results.

review-notebook-app[bot] avatar Oct 19 '22 08:10 review-notebook-app[bot]

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bschifferer commented on 2022-10-19T08:30:54Z ----------------------------------------------------------------

What does %%capture?

I am not sure, if we can use !pip install commands in notebooks. We had to remove them in the Building 2 Stage Recommender Example in Merlin.

Can you check in the CI channel, if we can keep them?


radekosmulski commented on 2022-10-25T02:51:43Z ----------------------------------------------------------------

capture captures output from a cell, otherwise we would have logs from the models being trained and our notebook would become very long

will check with the cI channel re plotly and optuna!

review-notebook-app[bot] avatar Oct 19 '22 08:10 review-notebook-app[bot]

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bschifferer commented on 2022-10-19T08:30:55Z ----------------------------------------------------------------

I agree that this is a little bit too much code - wonder if everything is necessary. We should be able to calculate hitrate100 from the model?


radekosmulski commented on 2022-10-25T03:01:37Z ----------------------------------------------------------------

Unfortunately, I believe this functionality is missing currently.

review-notebook-app[bot] avatar Oct 19 '22 08:10 review-notebook-app[bot]

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bschifferer commented on 2022-10-19T08:30:56Z ----------------------------------------------------------------

What does trail.suggest_float do in the objective function?

  learning_rate = trial.suggest_float('learning_rate', 1e-5, 1e-1)

  num_epochs = trial.suggest_int('num_epochs', 1, 100)

  embedding_dim = trial.suggest_int('embedding_dim', 4, 128)

how does that relate the the search space below?


radekosmulski commented on 2022-10-25T03:12:19Z ----------------------------------------------------------------

added a few words of explanation to the NB

review-notebook-app[bot] avatar Oct 19 '22 08:10 review-notebook-app[bot]

added a section that gives the reasoning behind doing HPO, thank you for highlighting this, Benedikt!

View entire conversation on ReviewNB

radekosmulski avatar Oct 25 '22 01:10 radekosmulski

Click to view CI Results
GitHub pull request #786 of commit 986eec9d6db8854d22a463dab398a84bb315f240, no merge conflicts.
Running as SYSTEM
Setting status of 986eec9d6db8854d22a463dab398a84bb315f240 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1572/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 986eec9d6db8854d22a463dab398a84bb315f240^{commit} # timeout=10
Checking out Revision 986eec9d6db8854d22a463dab398a84bb315f240 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 986eec9d6db8854d22a463dab398a84bb315f240 # timeout=10
Commit message: "update retrieval example"
 > git rev-list --no-walk 457588efc9f0206ad50fd6fa18efea23cae90691 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins6086178825884175247.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-4.0.0
collected 776 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 ................                            [  6%]
tests/unit/tf/test_public_api.py .                                       [  6%]
tests/unit/tf/blocks/test_cross.py ...........                           [  7%]
tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]
tests/unit/tf/blocks/test_interactions.py ...                            [  9%]
tests/unit/tf/blocks/test_mlp.py .................................       [ 13%]
tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]
.....................                                                    [ 20%]
tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 21%]
tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 22%]
tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 22%]
tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]
tests/unit/tf/core/test_aggregation.py .........                         [ 24%]
tests/unit/tf/core/test_base.py ..                                       [ 24%]
tests/unit/tf/core/test_combinators.py s....................             [ 27%]
tests/unit/tf/core/test_encoder.py ..                                    [ 27%]
tests/unit/tf/core/test_index.py ...                                     [ 27%]
tests/unit/tf/core/test_prediction.py ..                                 [ 28%]
tests/unit/tf/core/test_tabular.py ......                                [ 28%]
tests/unit/tf/examples/test_01_getting_started.py .                      [ 28%]
tests/unit/tf/examples/test_02_dataschema.py .                           [ 29%]
tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 29%]
tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 29%]
tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 29%]
tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 29%]
tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 29%]
tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 29%]
[ 29%]
tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 30%]
tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 30%]
tests/unit/tf/inputs/test_continuous.py .....                            [ 30%]
tests/unit/tf/inputs/test_embedding.py ................................. [ 35%]
........                                                                 [ 36%]
tests/unit/tf/inputs/test_tabular.py ..................                  [ 38%]
tests/unit/tf/layers/test_queue.py ..............                        [ 40%]
tests/unit/tf/losses/test_losses.py .......................              [ 43%]
tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 43%]
tests/unit/tf/metrics/test_metrics_topk.py ........................      [ 46%]
tests/unit/tf/models/test_base.py s.......................               [ 50%]
tests/unit/tf/models/test_benchmark.py ..                                [ 50%]
tests/unit/tf/models/test_ranking.py ..................................  [ 54%]
tests/unit/tf/models/test_retrieval.py ................................  [ 58%]
tests/unit/tf/outputs/test_base.py ......                                [ 59%]
tests/unit/tf/outputs/test_classification.py ......                      [ 60%]
tests/unit/tf/outputs/test_contrastive.py ..............                 [ 62%]
tests/unit/tf/outputs/test_regression.py ..                              [ 62%]
tests/unit/tf/outputs/test_sampling.py ....                              [ 62%]
tests/unit/tf/outputs/test_topk.py .                                     [ 63%]
tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 63%]
tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 65%]
tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 65%]
tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 66%]
tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 66%]
tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 67%]
tests/unit/tf/transformers/test_block.py ....................            [ 70%]
tests/unit/tf/transformers/test_transforms.py ......                     [ 70%]
tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]
tests/unit/tf/transforms/test_features.py s............................. [ 75%]
....................s......                                              [ 78%]
tests/unit/tf/transforms/test_negative_sampling.py .........             [ 79%]
tests/unit/tf/transforms/test_noise.py .....                             [ 80%]
tests/unit/tf/transforms/test_sequence.py ....................           [ 82%]
tests/unit/tf/transforms/test_tensor.py ...                              [ 83%]
tests/unit/tf/utils/test_batch.py ....                                   [ 83%]
tests/unit/tf/utils/test_dataset.py ..                                   [ 84%]
tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]
tests/unit/torch/test_dataset.py .........                               [ 85%]
tests/unit/torch/test_public_api.py .                                    [ 85%]
tests/unit/torch/block/test_base.py ....                                 [ 86%]
tests/unit/torch/block/test_mlp.py .                                     [ 86%]
tests/unit/torch/features/test_continuous.py ..                          [ 86%]
tests/unit/torch/features/test_embedding.py ..............               [ 88%]
tests/unit/torch/features/test_tabular.py ....                           [ 89%]
tests/unit/torch/model/test_head.py ............                         [ 90%]
tests/unit/torch/model/test_model.py ..                                  [ 90%]
tests/unit/torch/tabular/test_aggregation.py ........                    [ 92%]
tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]
tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]
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: 11 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: 5 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: 20 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 26 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: 6 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 19 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/transformers/test_block.py: 15 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/transforms/test_sequence.py: 15 warnings
tests/unit/tf/utils/test_batch.py: 9 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 11 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: 7 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: 20 warnings
tests/unit/tf/inputs/test_tabular.py: 18 warnings
tests/unit/tf/models/test_base.py: 26 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: 6 warnings
tests/unit/tf/outputs/test_classification.py: 6 warnings
tests/unit/tf/outputs/test_contrastive.py: 19 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/transformers/test_block.py: 9 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_sequence.py: 15 warnings
tests/unit/tf/utils/test_batch.py: 7 warnings
tests/unit/tf/utils/test_dataset.py: 2 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: 2 warnings
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:960: 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/blocks/retrieval/test_two_tower.py: 1 warning
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/utils/test_batch.py: 2 warnings
/tmp/autograph_generated_filev84jmr6x.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/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: 5 warnings
tests/unit/tf/models/test_retrieval.py: 26 warnings
tests/unit/tf/utils/test_batch.py: 4 warnings
tests/unit/tf/utils/test_dataset.py: 1 warning
/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.
warnings.warn(


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_base.py::test_retrieval_model_query
tests/unit/tf/models/test_base.py::test_retrieval_model_query
/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack
tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))


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/tf/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_as_classfication_model[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/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/transformers/test_block.py::test_transformer_with_causal_language_modeling[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_with_causal_language_modeling[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(


tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/boolean_mask/GatherV2:0", shape=(None, 48), dtype=float32), dense_shape=Tensor("gradient_tape/model/gpt2_block/prepare_transformer_inputs_5/RaggedToTensor/Shape: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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/Reshape_3:0", shape=(None,), dtype=int64), values=Tensor("gradient_tape/model/gpt2_block/replace_masked_embeddings/RaggedWhere/Reshape_2:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/gpt2_block/replace_masked_embeddings/RaggedWhere/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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/RaggedTile_2/Reshape_3:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape: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/transformers/test_block.py::test_transformer_with_masked_language_modeling[False]
tests/unit/tf/transformers/test_block.py::test_transformer_with_masked_language_modeling_check_eval_masked[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/gpt2_block/replace_masked_embeddings/RaggedWhere/RaggedTile_2/Reshape_3:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", 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 $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 764 passed, 12 skipped, 1211 warnings in 1480.49s (0:24:40) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script  : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins14099746876630440965.sh

nvidia-merlin-bot avatar Oct 25 '22 02:10 nvidia-merlin-bot

made the change

View entire conversation on ReviewNB

radekosmulski avatar Oct 25 '22 02:10 radekosmulski

Added a justification:

This will speed up our experiments (we have less data to train on) and in other experiments that I ran, including all the customers doesn't lead to better results.

View entire conversation on ReviewNB

radekosmulski avatar Oct 25 '22 02:10 radekosmulski

capture captures output from a cell, otherwise we would have logs from the models being trained and our notebook would become very long

will check with the cI channel re plotly and optuna!

View entire conversation on ReviewNB

radekosmulski avatar Oct 25 '22 02:10 radekosmulski

Unfortunately, I believe this functionality is missing currently.

View entire conversation on ReviewNB

radekosmulski avatar Oct 25 '22 03:10 radekosmulski

added a few words of explanation to the NB

View entire conversation on ReviewNB

radekosmulski avatar Oct 25 '22 03:10 radekosmulski

rerun tests

radekosmulski avatar Oct 26 '22 05:10 radekosmulski

Click to view CI Results
GitHub pull request #786 of commit 49ff149263022094b6e2e1ffdd03d84fc39cc0a0, no merge conflicts.
Running as SYSTEM
Setting status of 49ff149263022094b6e2e1ffdd03d84fc39cc0a0 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1606/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 49ff149263022094b6e2e1ffdd03d84fc39cc0a0^{commit} # timeout=10
Checking out Revision 49ff149263022094b6e2e1ffdd03d84fc39cc0a0 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 49ff149263022094b6e2e1ffdd03d84fc39cc0a0 # timeout=10
Commit message: "update example; add synthetic dataset; add unit test"
 > git rev-list --no-walk 064a6d8f8ef19f92f2924569876332754f5f3fc8 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins6680693799267935681.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) (5.5.0)
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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) (24.0.0)
Requirement already satisfied: tornado>=6.2 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-7.1.3, 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-4.0.0
collected 168 items / 49 errors

==================================== ERRORS ====================================
_________________ ERROR collecting tests/unit/tf/test_core.py __________________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/test_core.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/test_core.py:4: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
________________ ERROR collecting tests/unit/tf/test_loader.py _________________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/test_loader.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/test_loader.py:26: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/test_public_api.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/test_public_api.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/test_public_api.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/blocks/test_cross.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_cross.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_cross.py:20: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/blocks/test_dlrm.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_dlrm.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_dlrm.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
__________ ERROR collecting tests/unit/tf/blocks/test_interactions.py __________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_interactions.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_interactions.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/blocks/test_mlp.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_mlp.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_mlp.py:21: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/blocks/test_optimizer.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_optimizer.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_optimizer.py:22: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_________ ERROR collecting tests/unit/tf/blocks/retrieval/test_base.py _________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/retrieval/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/retrieval/test_base.py:18: in 
from merlin.models.tf.blocks.retrieval.base import ItemRetrievalScorer
merlin/models/tf/blocks/retrieval/base.py:27: in 
from merlin.models.tf.models.base import ModelBlock
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_ ERROR collecting tests/unit/tf/blocks/retrieval/test_matrix_factorization.py _
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/retrieval/test_matrix_factorization.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py:20: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______ ERROR collecting tests/unit/tf/blocks/retrieval/test_two_tower.py _______
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/retrieval/test_two_tower.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/retrieval/test_two_tower.py:22: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/core/test_aggregation.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_aggregation.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_aggregation.py:21: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_______________ ERROR collecting tests/unit/tf/core/test_base.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_base.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/core/test_combinators.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_combinators.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_combinators.py:6: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/core/test_encoder.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_encoder.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_encoder.py:6: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/core/test_index.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_index.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_index.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____________ ERROR collecting tests/unit/tf/core/test_prediction.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_prediction.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_prediction.py:7: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/core/test_tabular.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_tabular.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_tabular.py:1: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/inputs/test_continuous.py ___________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/inputs/test_continuous.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/inputs/test_continuous.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/inputs/test_embedding.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/inputs/test_embedding.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/inputs/test_embedding.py:23: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____________ ERROR collecting tests/unit/tf/inputs/test_tabular.py _____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/inputs/test_tabular.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/inputs/test_tabular.py:21: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/layers/test_queue.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/layers/test_queue.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/layers/test_queue.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/losses/test_losses.py _____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/losses/test_losses.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/losses/test_losses.py:20: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______ ERROR collecting tests/unit/tf/metrics/test_metrics_popularity.py _______
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/metrics/test_metrics_popularity.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/metrics/test_metrics_popularity.py:20: in 
from merlin.models.tf.metrics.evaluation import ItemCoverageAt, NoveltyAt, PopularityBiasAt
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_________ ERROR collecting tests/unit/tf/metrics/test_metrics_topk.py __________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/metrics/test_metrics_topk.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/metrics/test_metrics_topk.py:23: in 
from merlin.models.tf.metrics.topk import (
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/models/test_base.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_base.py:24: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/models/test_benchmark.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_benchmark.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_benchmark.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____________ ERROR collecting tests/unit/tf/models/test_ranking.py _____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_ranking.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_ranking.py:22: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/models/test_retrieval.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_retrieval.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_retrieval.py:6: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/outputs/test_base.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_base.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
________ ERROR collecting tests/unit/tf/outputs/test_classification.py _________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_classification.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_classification.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
__________ ERROR collecting tests/unit/tf/outputs/test_contrastive.py __________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_contrastive.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_contrastive.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
__________ ERROR collecting tests/unit/tf/outputs/test_regression.py ___________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_regression.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_regression.py:18: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/outputs/test_sampling.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_sampling.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_sampling.py:20: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____ ERROR collecting tests/unit/tf/prediction_tasks/test_classification.py ____
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_classification.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/prediction_tasks/test_classification.py:18: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______ ERROR collecting tests/unit/tf/prediction_tasks/test_multi_task.py ______
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_multi_task.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/prediction_tasks/test_multi_task.py:6: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in

nvidia-merlin-bot avatar Oct 27 '22 09:10 nvidia-merlin-bot

Click to view CI Results
GitHub pull request #786 of commit 469c929be9172242f6a5c5643cc5862eb1ee51e5, no merge conflicts.
Running as SYSTEM
Setting status of 469c929be9172242f6a5c5643cc5862eb1ee51e5 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1607/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/786/*:refs/remotes/origin/pr/786/* # timeout=10
 > git rev-parse 469c929be9172242f6a5c5643cc5862eb1ee51e5^{commit} # timeout=10
Checking out Revision 469c929be9172242f6a5c5643cc5862eb1ee51e5 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 469c929be9172242f6a5c5643cc5862eb1ee51e5 # timeout=10
Commit message: "update example; add synthetic dataset; add unit test"
 > git rev-list --no-walk 49ff149263022094b6e2e1ffdd03d84fc39cc0a0 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins16163673386396292834.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) (5.5.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.8)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.16.1)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.16.0)
Requirement already satisfied: jupyter_core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.11.1)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.4.0)
Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.5)
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)
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) (24.0.0)
Requirement already satisfied: tornado>=6.2 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-7.1.3, 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-4.0.0
collected 168 items / 49 errors

==================================== ERRORS ====================================
_________________ ERROR collecting tests/unit/tf/test_core.py __________________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/test_core.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/test_core.py:4: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
________________ ERROR collecting tests/unit/tf/test_loader.py _________________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/test_loader.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/test_loader.py:26: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/test_public_api.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/test_public_api.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/test_public_api.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/blocks/test_cross.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_cross.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_cross.py:20: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/blocks/test_dlrm.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_dlrm.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_dlrm.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
__________ ERROR collecting tests/unit/tf/blocks/test_interactions.py __________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_interactions.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_interactions.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/blocks/test_mlp.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_mlp.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_mlp.py:21: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/blocks/test_optimizer.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/test_optimizer.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/test_optimizer.py:22: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_________ ERROR collecting tests/unit/tf/blocks/retrieval/test_base.py _________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/retrieval/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/retrieval/test_base.py:18: in 
from merlin.models.tf.blocks.retrieval.base import ItemRetrievalScorer
merlin/models/tf/blocks/retrieval/base.py:27: in 
from merlin.models.tf.models.base import ModelBlock
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_ ERROR collecting tests/unit/tf/blocks/retrieval/test_matrix_factorization.py _
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/retrieval/test_matrix_factorization.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py:20: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______ ERROR collecting tests/unit/tf/blocks/retrieval/test_two_tower.py _______
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/blocks/retrieval/test_two_tower.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/blocks/retrieval/test_two_tower.py:22: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/core/test_aggregation.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_aggregation.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_aggregation.py:21: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_______________ ERROR collecting tests/unit/tf/core/test_base.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_base.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/core/test_combinators.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_combinators.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_combinators.py:6: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/core/test_encoder.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_encoder.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_encoder.py:6: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/core/test_index.py _______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_index.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_index.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____________ ERROR collecting tests/unit/tf/core/test_prediction.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_prediction.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_prediction.py:7: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/core/test_tabular.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/core/test_tabular.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/core/test_tabular.py:1: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/inputs/test_continuous.py ___________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/inputs/test_continuous.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/inputs/test_continuous.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/inputs/test_embedding.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/inputs/test_embedding.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/inputs/test_embedding.py:23: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____________ ERROR collecting tests/unit/tf/inputs/test_tabular.py _____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/inputs/test_tabular.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/inputs/test_tabular.py:21: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/layers/test_queue.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/layers/test_queue.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/layers/test_queue.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/losses/test_losses.py _____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/losses/test_losses.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/losses/test_losses.py:20: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______ ERROR collecting tests/unit/tf/metrics/test_metrics_popularity.py _______
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/metrics/test_metrics_popularity.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/metrics/test_metrics_popularity.py:20: in 
from merlin.models.tf.metrics.evaluation import ItemCoverageAt, NoveltyAt, PopularityBiasAt
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_________ ERROR collecting tests/unit/tf/metrics/test_metrics_topk.py __________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/metrics/test_metrics_topk.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/metrics/test_metrics_topk.py:23: in 
from merlin.models.tf.metrics.topk import (
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______________ ERROR collecting tests/unit/tf/models/test_base.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_base.py:24: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/models/test_benchmark.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_benchmark.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_benchmark.py:19: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____________ ERROR collecting tests/unit/tf/models/test_ranking.py _____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_ranking.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_ranking.py:22: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/models/test_retrieval.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/models/test_retrieval.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/models/test_retrieval.py:6: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
_____________ ERROR collecting tests/unit/tf/outputs/test_base.py ______________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_base.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_base.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
________ ERROR collecting tests/unit/tf/outputs/test_classification.py _________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_classification.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_classification.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
__________ ERROR collecting tests/unit/tf/outputs/test_contrastive.py __________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_contrastive.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_contrastive.py:19: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
__________ ERROR collecting tests/unit/tf/outputs/test_regression.py ___________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_regression.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_regression.py:18: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
___________ ERROR collecting tests/unit/tf/outputs/test_sampling.py ____________
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/outputs/test_sampling.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/outputs/test_sampling.py:20: in 
import merlin.models.tf as mm
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
____ ERROR collecting tests/unit/tf/prediction_tasks/test_classification.py ____
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_classification.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/prediction_tasks/test_classification.py:18: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in 
from keras.layers.preprocessing import preprocessing_utils as utils
E   ImportError: cannot import name 'preprocessing_utils' from 'keras.layers.preprocessing' (/usr/local/lib/python3.8/dist-packages/keras/layers/preprocessing/init.py)
______ ERROR collecting tests/unit/tf/prediction_tasks/test_multi_task.py ______
ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_multi_task.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
/usr/lib/python3.8/importlib/init.py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/tf/prediction_tasks/test_multi_task.py:6: in 
import merlin.models.tf as ml
merlin/models/tf/init.py:34: in 
from merlin.models.tf.blocks.dlrm import DLRMBlock
merlin/models/tf/blocks/dlrm.py:19: in 
from merlin.models.tf.blocks.interaction import DotProductInteraction
merlin/models/tf/blocks/interaction.py:26: in 
from merlin.models.tf.inputs.base import InputBlockV2
merlin/models/tf/inputs/base.py:26: in 
from merlin.models.tf.inputs.embedding import (
merlin/models/tf/inputs/embedding.py:39: in 
from merlin.models.tf.transforms.tensor import ListToDense, ListToSparse
merlin/models/tf/transforms/tensor.py:19: in

nvidia-merlin-bot avatar Oct 27 '22 09:10 nvidia-merlin-bot