NVIDIA-Merlin
Dataset/booking
Fixes # (issue)
Goals :soccer:
Implementation Details :construction:
Testing Details :mag:
Click to view CI Results
GitHub pull request #829 of commit 19924fc4dcab7decad1ce58975f13cb9d89943dc, no merge conflicts.
Running as SYSTEM
Setting status of 19924fc4dcab7decad1ce58975f13cb9d89943dc to PENDING with url https://10.20.13.93:8080/job/merlin_models/1588/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/829/*:refs/remotes/origin/pr/829/* # timeout=10
> git rev-parse 19924fc4dcab7decad1ce58975f13cb9d89943dc^{commit} # timeout=10
Checking out Revision 19924fc4dcab7decad1ce58975f13cb9d89943dc (detached)
> git config core.sparsecheckout # timeout=10
> git checkout -f 19924fc4dcab7decad1ce58975f13cb9d89943dc # timeout=10
Commit message: "Make tests passing"
> git rev-list --no-walk e76e9af81067999ef0237d65dad1e92bed5e3aaf # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins17270029293385325235.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 779 items
tests/unit/config/test_schema.py .... [ 0%]
tests/unit/datasets/test_advertising.py .s [ 0%]
tests/unit/datasets/test_ecommerce.py ..ssss [ 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 . [ 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 . [ 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 . [ 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 ....... [ 31%]
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 ..... [ 44%]
tests/unit/tf/metrics/test_metrics_topk.py ........................ [ 47%]
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 .... [ 63%]
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 ..... [ 66%]
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 . [ 86%]
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 .. [ 91%]
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: 6 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: 6 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: 4 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_file3qgqoepq.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:64: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:80: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:94: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:107: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 766 passed, 13 skipped, 1217 warnings in 1511.01s (0:25:11) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins14837390653800165314.sh
Click to view CI Results
GitHub pull request #829 of commit e107ac893c761bcb6bf6bbf7519bbbcbc73044c9, no merge conflicts.
Running as SYSTEM
Setting status of e107ac893c761bcb6bf6bbf7519bbbcbc73044c9 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1589/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/829/*:refs/remotes/origin/pr/829/* # timeout=10
> git rev-parse e107ac893c761bcb6bf6bbf7519bbbcbc73044c9^{commit} # timeout=10
Checking out Revision e107ac893c761bcb6bf6bbf7519bbbcbc73044c9 (detached)
> git config core.sparsecheckout # timeout=10
> git checkout -f e107ac893c761bcb6bf6bbf7519bbbcbc73044c9 # timeout=10
Commit message: "Merge branch 'main' into dataset/booking"
> git rev-list --no-walk 19924fc4dcab7decad1ce58975f13cb9d89943dc # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins15879254817437991220.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 783 items
tests/unit/config/test_schema.py .... [ 0%]
tests/unit/datasets/test_advertising.py .s [ 0%]
tests/unit/datasets/test_ecommerce.py ..ssss [ 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 . [ 20%]
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 . [ 22%]
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 .. [ 27%]
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 . [ 28%]
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 . [ 29%]
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....................... [ 49%]
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 .......... [ 71%]
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 .................... [ 83%]
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 . [ 86%]
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 .. [ 91%]
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: 6 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: 6 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: 4 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_file8egpfd64.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:64: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:80: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:94: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP
SKIPPED [1] tests/unit/datasets/test_ecommerce.py:107: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR
SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.
========= 770 passed, 13 skipped, 1217 warnings in 1514.08s (0:25:14) ==========
Performing Post build task...
Match found for : : True
Logical operation result is TRUE
Running script : #!/bin/bash
cd /var/jenkins_home/
CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"
[merlin_models] $ /bin/bash /tmp/jenkins6247570085184259076.sh
Click to view CI Results
GitHub pull request #829 of commit eeab374db61caa14e8282fa07d881ac60e17ce93, no merge conflicts.
Running as SYSTEM
Setting status of eeab374db61caa14e8282fa07d881ac60e17ce93 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1609/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/829/*:refs/remotes/origin/pr/829/* # timeout=10
> git rev-parse eeab374db61caa14e8282fa07d881ac60e17ce93^{commit} # timeout=10
Checking out Revision eeab374db61caa14e8282fa07d881ac60e17ce93 (detached)
> git config core.sparsecheckout # timeout=10
> git checkout -f eeab374db61caa14e8282fa07d881ac60e17ce93 # timeout=10
Commit message: "Triggering black"
> git rev-list --no-walk 6a34368af830d5bb6343bad0c174dab4417d8b35 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins4719842313306273063.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