Introducing RetrievalModelV2 to unify two-tower & session-based enhancement

[marcromeyn]

Fixes

• Refactor RetrievalModel to support Session-based models #729

Goals ⚽

Introduce a new RetrievalModelV2 that works for mf/two-tower as well as YouTube-dnn + session-based.

Implementation Details 🚧

Using the RetrievalModelV2 to create:

MF

user = schema.select_by_tag(Tags.USER_ID)
item = schema.select_by_tag(Tags.ITEM_ID)
model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(user, dim=8),
        candidate=mm.EmbeddingEncoder(item, dim=8),
        output=mm.ContrastiveOutput(candidate, "in-batch"),
 )

Two-tower

user = schema.select_by_tag(Tags.USER)
item = schema.select_by_tag(Tags.ITEM)
model = mm.RetrievalModelV2(
        query=mm.Encoder(user, dim=8),
        candidate=mm.Encoder(item, dim=8),
        output=mm.ContrastiveOutput(item, "in-batch"),
 )

Session-based style

user = schema.select_by_tag(Tags.USER)
item = schema.select_by_tag(Tags.ITEM_ID)
model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(user, dim=8),
        output=mm.ContrastiveOutput(item, "in-batch"),
)

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 9e78a523fb1f15967f6cb9c95708bffebc1adac3, no merge conflicts.
Running as SYSTEM
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Checking out Revision 9e78a523fb1f15967f6cb9c95708bffebc1adac3 (detached)
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Commit message: "Fixing failing tests"
 > git rev-list --no-walk 2562048918c25aef019276e3590f1f12e5344c93 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins15768372233940722812.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 705 items
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=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working

elif isinstance(self.feature_names, collections.Sequence):
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_filer9qnap_p.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_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:288: 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/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 694 passed, 11 skipped, 1075 warnings in 1072.81s (0:17:52) ==========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins15441396478468738393.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 6ae38c4354d6f2c0ed68feb6a3ca278cff68d941, no merge conflicts.
Running as SYSTEM
Setting status of 6ae38c4354d6f2c0ed68feb6a3ca278cff68d941 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1343/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 6ae38c4354d6f2c0ed68feb6a3ca278cff68d941^{commit} # timeout=10
Checking out Revision 6ae38c4354d6f2c0ed68feb6a3ca278cff68d941 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6ae38c4354d6f2c0ed68feb6a3ca278cff68d941 # timeout=10
Commit message: "Merge branch 'main' into tf/retrieval-model-2"
 > git rev-list --no-walk 9e78a523fb1f15967f6cb9c95708bffebc1adac3 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins5855656847061257882.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_file23e54j4g.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/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:288: 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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1090.45s (0:18:10) ==========

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/jenkins5072034013204320154.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 25062254025f92bccb6d21f4c02b7d6999a89afa, no merge conflicts.
Running as SYSTEM
Setting status of 25062254025f92bccb6d21f4c02b7d6999a89afa to PENDING with url https://10.20.13.93:8080/job/merlin_models/1344/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 25062254025f92bccb6d21f4c02b7d6999a89afa^{commit} # timeout=10
Checking out Revision 25062254025f92bccb6d21f4c02b7d6999a89afa (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 25062254025f92bccb6d21f4c02b7d6999a89afa # timeout=10
Commit message: "Adding gpu-check in test_retrieval_model_query"
 > git rev-list --no-walk 6ae38c4354d6f2c0ed68feb6a3ca278cff68d941 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins2276168156763192561.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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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)
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Requirement already satisfied: zipp>=3.1.0; python_version < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->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-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_filetxg739sk.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/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:288: 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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1099.75s (0:18:19) ==========

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/jenkins17293080583499902694.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit a40bb7e22b8cc7860c8f9727b06564bb10fa9210, no merge conflicts.
Running as SYSTEM
Setting status of a40bb7e22b8cc7860c8f9727b06564bb10fa9210 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1345/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse a40bb7e22b8cc7860c8f9727b06564bb10fa9210^{commit} # timeout=10
Checking out Revision a40bb7e22b8cc7860c8f9727b06564bb10fa9210 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f a40bb7e22b8cc7860c8f9727b06564bb10fa9210 # timeout=10
Commit message: "Adding automatic inference whether there is a GPU"
 > git rev-list --no-walk 25062254025f92bccb6d21f4c02b7d6999a89afa # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins10418192132645109409.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=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)
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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)
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Requirement already satisfied: zipp>=3.1.0; python_version < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->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-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_file0x9_h95n.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/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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1094.25s (0:18:14) ==========

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/jenkins12866502937626319445.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit a10e8a1cc45ab0a2f07ac81d864f48c84d33db13, no merge conflicts.
Running as SYSTEM
Setting status of a10e8a1cc45ab0a2f07ac81d864f48c84d33db13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1346/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse a10e8a1cc45ab0a2f07ac81d864f48c84d33db13^{commit} # timeout=10
Checking out Revision a10e8a1cc45ab0a2f07ac81d864f48c84d33db13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f a10e8a1cc45ab0a2f07ac81d864f48c84d33db13 # timeout=10
Commit message: "Make index configurable in tensor_to_df"
 > git rev-list --no-walk a40bb7e22b8cc7860c8f9727b06564bb10fa9210 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins6380634917179554420.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

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tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_filel_szq2s9.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/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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1097.36s (0:18:17) ==========

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/jenkins8517669417891603209.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 1b761171d618719ce419d74e29ba7f3b393dfba4, no merge conflicts.
Running as SYSTEM
Setting status of 1b761171d618719ce419d74e29ba7f3b393dfba4 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1347/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 1b761171d618719ce419d74e29ba7f3b393dfba4^{commit} # timeout=10
Checking out Revision 1b761171d618719ce419d74e29ba7f3b393dfba4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1b761171d618719ce419d74e29ba7f3b393dfba4 # timeout=10
Commit message: "Add more asserts for embeddings in retrieval-model tests"
 > git rev-list --no-walk a10e8a1cc45ab0a2f07ac81d864f48c84d33db13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins1803480850854653069.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileum4irlsh.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/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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1093.49s (0:18:13) ==========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins5533812496492249280.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit d4ccc4b2348b37312511223558de4c55e0d759dd, no merge conflicts.
Running as SYSTEM
Setting status of d4ccc4b2348b37312511223558de4c55e0d759dd to PENDING with url https://10.20.13.93:8080/job/merlin_models/1348/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse d4ccc4b2348b37312511223558de4c55e0d759dd^{commit} # timeout=10
Checking out Revision d4ccc4b2348b37312511223558de4c55e0d759dd (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f d4ccc4b2348b37312511223558de4c55e0d759dd # timeout=10
Commit message: "Fix candidate_encoder"
 > git rev-list --no-walk 1b761171d618719ce419d74e29ba7f3b393dfba4 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3361850890309841328.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
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=================================== FAILURES ===================================

__________________________ test_retrieval_model_query __________________________
ecommerce_data = <merlin.io.dataset.Dataset object at 0x7fbdcb716c70>

run_eagerly = True
def test_retrieval_model_query(ecommerce_data: Dataset, run_eagerly=True):
    query = ecommerce_data.schema.select_by_tag(Tags.USER_ID)
    candidate = ecommerce_data.schema.select_by_tag(Tags.ITEM_ID)

    def item_id_as_target(features, targets):
        targets[candidate.first.name] = features.pop(candidate.first.name)

        return features, targets

    loader = mm.Loader(ecommerce_data, batch_size=50, transform=item_id_as_target)

    model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(query, dim=8),
        output=mm.ContrastiveOutput(candidate, "in-batch"),
    )

    model, _ = testing_utils.model_test(model, loader, reload_model=True, run_eagerly=run_eagerly)

    assert isinstance(model.query_encoder, mm.EmbeddingEncoder)


  assert isinstance(model.candidate_encoder, mm.EmbeddingEncoder)


tests/unit/tf/models/test_base.py:668:

self = RetrievalModelV2(

(blocks): _TupleWrapper((EmbeddingEncoder(

(blocks): List(

(0): EmbeddingTable(

...) at 0x7FBDC9589160>})

(predict_function): <tensorflow.python.eager.def_function.Function object at 0x7fbdc9c8d370>

)
@property
def candidate_encoder(self) -> Encoder:
    output = None
    if self.has_candidate_encoder:
        output = self.encoder[self._candidate_name]

    if output:
        return self._check_encoder(output)


  raise ValueError("No candidate encoder found.")


E       ValueError: No candidate encoder found.
merlin/models/tf/models/base.py:1501: ValueError

----------------------------- Captured stdout call -----------------------------
1/1 [==============================] - ETA: 0s - loss: 3.8969 - recall_at_10: 0.3600 - mrr_at_10: 0.1520 - ndcg_at_10: 0.1990 - map_at_10: 0.1520 - precision_at_10: 0.0360 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������

1/1 [==============================] - 1s 914ms/step - loss: 3.8969 - recall_at_10: 0.3600 - mrr_at_10: 0.1520 - ndcg_at_10: 0.1990 - map_at_10: 0.1520 - precision_at_10: 0.0360 - regularization_loss: 0.0000e+00

----------------------------- Captured stderr call -----------------------------

WARNING:tensorflow:Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

WARNING:tensorflow:Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

------------------------------ Captured log call -------------------------------

WARNING  tensorflow:utils.py:76 Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

WARNING  absl:save.py:233 Found untraced functions such as model_context_layer_call_fn, model_context_layer_call_and_return_conditional_losses, categorical_target_layer_call_fn, categorical_target_layer_call_and_return_conditional_losses, in_batch_sampler_v2_layer_call_fn while saving (showing 5 of 8). These functions will not be directly callable after loading.

WARNING  tensorflow:utils.py:76 Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

=============================== 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileq1cb78b6.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/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]

tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

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

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

==== 1 failed, 700 passed, 12 skipped, 1076 warnings in 1094.44s (0:18:14) =====

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins352153022692487461.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 5844b9a2d36821a0bf04e4cb9d91b840be202e1e, no merge conflicts.
Running as SYSTEM
Setting status of 5844b9a2d36821a0bf04e4cb9d91b840be202e1e to PENDING with url https://10.20.13.93:8080/job/merlin_models/1349/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 5844b9a2d36821a0bf04e4cb9d91b840be202e1e^{commit} # timeout=10
Checking out Revision 5844b9a2d36821a0bf04e4cb9d91b840be202e1e (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 5844b9a2d36821a0bf04e4cb9d91b840be202e1e # timeout=10
Commit message: "Fixing failing test_retrieval_model_query"
 > git rev-list --no-walk d4ccc4b2348b37312511223558de4c55e0d759dd # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins1078393773836764349.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s.......F...........                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

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tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=================================== FAILURES ===================================

____________________ test_train_metrics_steps[60-10-3-6-2] _____________________
num_rows = 60, batch_size = 10, train_metrics_steps = 3, expected_steps = 6

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

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

    # number of times metrics computed (every train_metrics_steps batches)


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


E       assert 1 == 2

E        +  where 1 = len({0.5})
tests/unit/tf/models/test_base.py:160: AssertionError

----------------------------- Captured stdout call -----------------------------
1/6 [====>.........................] - ETA: 2s - loss: 0.6933 - auc: 0.5000 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������

2/6 [=========>....................] - ETA: 0s - loss: 0.6891 - auc: 0.5000 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������

3/6 [==============>...............] - ETA: 0s - loss: 0.6921 - auc: 0.5000 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������

4/6 [===================>..........] - ETA: 0s - loss: 0.6876 - auc: 0.5000 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������

5/6 [========================>.....] - ETA: 0s - loss: 0.6940 - auc: 0.5000 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������

6/6 [==============================] - ETA: 0s - loss: 0.6927 - auc: 0.5000 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������

6/6 [==============================] - 1s 136ms/step - loss: 0.6927 - auc: 0.5000 - regularization_loss: 0.0000e+00

=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_file9v3vhjzv.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/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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

==== 1 failed, 700 passed, 12 skipped, 1078 warnings in 1096.79s (0:18:16) =====

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins9974613603560821977.sh

[marcromeyn]

rerun tests

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 5844b9a2d36821a0bf04e4cb9d91b840be202e1e, no merge conflicts.
Running as SYSTEM
Setting status of 5844b9a2d36821a0bf04e4cb9d91b840be202e1e to PENDING with url https://10.20.13.93:8080/job/merlin_models/1351/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 5844b9a2d36821a0bf04e4cb9d91b840be202e1e^{commit} # timeout=10
Checking out Revision 5844b9a2d36821a0bf04e4cb9d91b840be202e1e (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 5844b9a2d36821a0bf04e4cb9d91b840be202e1e # timeout=10
Commit message: "Fixing failing test_retrieval_model_query"
 > git rev-list --no-walk ffc6478ec50c7841fc33ab7108e943eecd295e56 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11927657826817505903.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (1.3.10)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileeb847ct9.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/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/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:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1094.56s (0:18:14) ==========

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/jenkins16243154578299706036.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit c275a75c67b12a50287a25269bfd33cfa24e71c6, no merge conflicts.
Running as SYSTEM
Setting status of c275a75c67b12a50287a25269bfd33cfa24e71c6 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1364/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse c275a75c67b12a50287a25269bfd33cfa24e71c6^{commit} # timeout=10
Checking out Revision c275a75c67b12a50287a25269bfd33cfa24e71c6 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c275a75c67b12a50287a25269bfd33cfa24e71c6 # timeout=10
Commit message: "Merge branch 'main' into tf/retrieval-model-2"
 > git rev-list --no-walk d31849ae078a2ceede59f00eb419f0460dc3d97b # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins46990216771546031.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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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 < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->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-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileukshovr4.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/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/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1089.32s (0:18:09) ==========

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/jenkins18062621693386403415.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 7391862475f11d56a659873c6ee87d50f3b3cf3c, no merge conflicts.
Running as SYSTEM
Setting status of 7391862475f11d56a659873c6ee87d50f3b3cf3c to PENDING with url https://10.20.13.93:8080/job/merlin_models/1377/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 7391862475f11d56a659873c6ee87d50f3b3cf3c^{commit} # timeout=10
Checking out Revision 7391862475f11d56a659873c6ee87d50f3b3cf3c (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 7391862475f11d56a659873c6ee87d50f3b3cf3c # timeout=10
Commit message: "Merge branch 'main' into tf/retrieval-model-2"
 > git rev-list --no-walk 52e4d0f4160c952b0cc7b0d9029971515a043266 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins9634526384717339515.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (1.3.10)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 713 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s...................                   [ 53%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 64%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 66%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 69%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 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: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_file8tpc7cm.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/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/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 701 passed, 12 skipped, 1078 warnings in 1085.21s (0:18:05) ==========

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/jenkins12160236070555123907.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 4a8cb1e5184a4b2b10e15b4481323312df995a0c, no merge conflicts.
Running as SYSTEM
Setting status of 4a8cb1e5184a4b2b10e15b4481323312df995a0c to PENDING with url https://10.20.13.93:8080/job/merlin_models/1451/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 4a8cb1e5184a4b2b10e15b4481323312df995a0c^{commit} # timeout=10
Checking out Revision 4a8cb1e5184a4b2b10e15b4481323312df995a0c (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 4a8cb1e5184a4b2b10e15b4481323312df995a0c # timeout=10
Commit message: "Merge branch 'main' into tf/retrieval-model-2"
 > git rev-list --no-walk 9e4741bbe7b89f767928b54b29335173dee6cde6 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins6579991301889043197.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-4.0.0
collected 745 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  6%]

tests/unit/tf/test_public_api.py .                                       [  6%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]

.....................                                                    [ 21%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 24%]

tests/unit/tf/core/test_aggregation.py .........                         [ 25%]

tests/unit/tf/core/test_base.py ..                                       [ 25%]

tests/unit/tf/core/test_combinators.py s....................             [ 28%]

tests/unit/tf/core/test_encoder.py .                                     [ 28%]

tests/unit/tf/core/test_index.py ...                                     [ 28%]

tests/unit/tf/core/test_prediction.py ..                                 [ 29%]

tests/unit/tf/core/test_tabular.py ......                                [ 29%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]

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tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]

[ 31%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]

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tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]

......                                                                   [ 37%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]

tests/unit/tf/layers/test_queue.py ..............                        [ 41%]

tests/unit/tf/losses/test_losses.py .......................              [ 44%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]

tests/unit/tf/models/test_base.py s...................                   [ 51%]

tests/unit/tf/models/test_benchmark.py ..                                [ 51%]

tests/unit/tf/models/test_ranking.py ..................................  [ 55%]

tests/unit/tf/models/test_retrieval.py ................................  [ 60%]

tests/unit/tf/outputs/test_base.py .....                                 [ 60%]

tests/unit/tf/outputs/test_classification.py ......                      [ 61%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]

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tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 66%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 67%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 67%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 68%]

tests/unit/tf/transformers/test_block.py ..............                  [ 70%]

tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 75%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]

tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 83%]

tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]

tests/unit/torch/test_dataset.py .........                               [ 85%]

tests/unit/torch/test_public_api.py .                                    [ 85%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 86%]

tests/unit/torch/features/test_continuous.py ..                          [ 86%]

tests/unit/torch/features/test_embedding.py ..............               [ 88%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 90%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 3 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 3 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_filess8hfkc5.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working

elif isinstance(self.feature_names, collections.Sequence):
tests/unit/tf/core/test_index.py: 5 warnings

tests/unit/tf/models/test_retrieval.py: 26 warnings

tests/unit/tf/utils/test_batch.py: 4 warnings

tests/unit/tf/utils/test_dataset.py: 1 warning

/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.

warnings.warn(
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_base.py::test_retrieval_model_query

tests/unit/tf/models/test_base.py::test_retrieval_model_query

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))
tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]

tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

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

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 733 passed, 12 skipped, 1142 warnings in 1152.49s (0:19:12) ==========

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/jenkins12419552797546025221.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit e0e72faf482d58f94b64cb581e5fade2d1d49ad3, no merge conflicts.
Running as SYSTEM
Setting status of e0e72faf482d58f94b64cb581e5fade2d1d49ad3 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1455/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse e0e72faf482d58f94b64cb581e5fade2d1d49ad3^{commit} # timeout=10
Checking out Revision e0e72faf482d58f94b64cb581e5fade2d1d49ad3 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f e0e72faf482d58f94b64cb581e5fade2d1d49ad3 # timeout=10
Commit message: "Fixing failing test_retrieval_model_query"
 > git rev-list --no-walk a75a33611b939c4bd7e42878840398d5295ab7de # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11375620921307134880.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)
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Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (22.1.0)
Requirement already satisfied: importlib-resources>=1.4.0; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (5.9.0)
Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=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 < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->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 169 items / 48 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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_multi_task.py ______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_multi_task.py'.

Hint: make sure your test modules/packages have valid Python names.

Traceback:

/usr/lib/python3.8/importlib/init.py:127: in import_module

return _bootstrap._gcd_import(name[level:], package, level)

tests/unit/tf/prediction_tasks/test_multi_task.py:6: in 

import merlin.models.tf as ml

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_next_item.py _______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_next_item.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_next_item.py:20: in 

import merlin.models.tf as ml

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_regression.py ______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/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/prediction_tasks/test_regression.py:18: in 

import merlin.models.tf as mm

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_retrieval.py _______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/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/prediction_tasks/test_retrieval.py:19: in 

from merlin.models.tf.prediction_tasks.retrieval import ItemRetrievalTask

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

_______ ERROR collecting tests/unit/tf/prediction_tasks/test_sampling.py _______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/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/prediction_tasks/test_sampling.py:20: in 

import merlin.models.tf as ml

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

__________ ERROR collecting tests/unit/tf/transformers/test_block.py ___________

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/transformers/test_block.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/transformers/test_block.py:5: in 

import merlin.models.tf as mm

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

________ ERROR collecting tests/unit/tf/transformers/test_transforms.py ________

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/transformers/test_transforms.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/transformers/test_transforms.py:5: in 

from merlin.models.tf.transformers import transforms

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:11: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

__________ ERROR collecting tests/unit/tf/transforms/test_features.py __________

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/transforms/test_features.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/transforms/test_features.py:22: in 

import merlin.models.tf as mm

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 87b0c443134f7eeb870b7d656af9179390c38602, no merge conflicts.
Running as SYSTEM
Setting status of 87b0c443134f7eeb870b7d656af9179390c38602 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1456/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 87b0c443134f7eeb870b7d656af9179390c38602^{commit} # timeout=10
Checking out Revision 87b0c443134f7eeb870b7d656af9179390c38602 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 87b0c443134f7eeb870b7d656af9179390c38602 # timeout=10
Commit message: "Running isort"
 > git rev-list --no-walk e0e72faf482d58f94b64cb581e5fade2d1d49ad3 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3055493697087482287.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)
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Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (22.1.0)
Requirement already satisfied: importlib-resources>=1.4.0; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (5.9.0)
Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=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 < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->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 169 items / 48 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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.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:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_multi_task.py ______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_multi_task.py'.

Hint: make sure your test modules/packages have valid Python names.

Traceback:

/usr/lib/python3.8/importlib/init.py:127: in import_module

return _bootstrap._gcd_import(name[level:], package, level)

tests/unit/tf/prediction_tasks/test_multi_task.py:6: in 

import merlin.models.tf as ml

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_next_item.py _______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/test_next_item.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_next_item.py:20: in 

import merlin.models.tf as ml

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_regression.py ______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/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/prediction_tasks/test_regression.py:18: in 

import merlin.models.tf as mm

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

______ ERROR collecting tests/unit/tf/prediction_tasks/test_retrieval.py _______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/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/prediction_tasks/test_retrieval.py:19: in 

from merlin.models.tf.prediction_tasks.retrieval import ItemRetrievalTask

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

_______ ERROR collecting tests/unit/tf/prediction_tasks/test_sampling.py _______

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/prediction_tasks/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/prediction_tasks/test_sampling.py:20: in 

import merlin.models.tf as ml

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

__________ ERROR collecting tests/unit/tf/transformers/test_block.py ___________

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/transformers/test_block.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/transformers/test_block.py:5: in 

import merlin.models.tf as mm

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

________ ERROR collecting tests/unit/tf/transformers/test_transforms.py ________

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/transformers/test_transforms.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/transformers/test_transforms.py:5: in 

from merlin.models.tf.transformers import transforms

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

from merlin.models.tf.utils.batch_utils import TFModelEncode

merlin/models/tf/utils/batch_utils.py:10: in 

from merlin.models.tf.models.base import Model, RetrievalModel

merlin/models/tf/models/base.py:19: in 

from merlin.models.tf.core.encoder import Encoder

merlin/models/tf/core/encoder.py:12: in 

from merlin.models.tf.models.base import BaseModel

E   ImportError: cannot import name 'BaseModel' from partially initialized module 'merlin.models.tf.models.base' (most likely due to a circular import) (/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py)

__________ ERROR collecting tests/unit/tf/transforms/test_features.py __________

ImportError while importing test module '/var/jenkins_home/workspace/merlin_models/models/tests/unit/tf/transforms/test_features.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/transforms/test_features.py:22: in 

import merlin.models.tf as mm

merlin/models/tf/init.py:21: in 

from merlin.models.tf.core.index import IndexBlock, TopKIndexBlock

merlin/models/tf/core/index.py:26: in 

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 3489359e31a64cd37dc7109093b45e89bc1e4f42, no merge conflicts.
Running as SYSTEM
Setting status of 3489359e31a64cd37dc7109093b45e89bc1e4f42 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1460/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 3489359e31a64cd37dc7109093b45e89bc1e4f42^{commit} # timeout=10
Checking out Revision 3489359e31a64cd37dc7109093b45e89bc1e4f42 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 3489359e31a64cd37dc7109093b45e89bc1e4f42 # timeout=10
Commit message: "Fixing failing test_topk_encoder"
 > git rev-list --no-walk bea3d0aea81be2e2a7df678ec7de22be036cb137 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins7082643703100067504.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-4.0.0
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tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  6%]

tests/unit/tf/test_public_api.py .                                       [  6%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]

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tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]

tests/unit/tf/core/test_aggregation.py .........                         [ 25%]

tests/unit/tf/core/test_base.py ..                                       [ 25%]

tests/unit/tf/core/test_combinators.py s....................             [ 28%]

tests/unit/tf/core/test_encoder.py ..                                    [ 28%]

tests/unit/tf/core/test_index.py ...                                     [ 28%]

tests/unit/tf/core/test_prediction.py ..                                 [ 29%]

tests/unit/tf/core/test_tabular.py ......                                [ 29%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]

tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]

[ 31%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]

......                                                                   [ 37%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]

tests/unit/tf/layers/test_queue.py ..............                        [ 41%]

tests/unit/tf/losses/test_losses.py .......................              [ 44%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]

tests/unit/tf/models/test_base.py s.................FF                   [ 51%]

tests/unit/tf/models/test_benchmark.py ..                                [ 51%]

tests/unit/tf/models/test_ranking.py ..................................  [ 55%]

tests/unit/tf/models/test_retrieval.py ................................  [ 60%]

tests/unit/tf/outputs/test_base.py .....                                 [ 60%]

tests/unit/tf/outputs/test_classification.py ......                      [ 61%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]

tests/unit/tf/outputs/test_regression.py ..                              [ 63%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]

tests/unit/tf/outputs/test_topk.py .                                     [ 63%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 67%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 67%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 68%]

tests/unit/tf/transformers/test_block.py ..............                  [ 70%]

tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

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tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]

tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 83%]

tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]

tests/unit/torch/test_dataset.py .........                               [ 85%]

tests/unit/torch/test_public_api.py .                                    [ 85%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 86%]

tests/unit/torch/features/test_continuous.py ..                          [ 86%]

tests/unit/torch/features/test_embedding.py ..............               [ 88%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 90%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=================================== FAILURES ===================================

__________________________ test_retrieval_model_query __________________________
nest1 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), ...tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), ...},), {'training': False})

nest2 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(sh...': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), ...},), {'testing': False, 'training': False})

check_types = True, expand_composites = False
@tf_export("nest.assert_same_structure")
def assert_same_structure(nest1, nest2, check_types=True,
                          expand_composites=False):
  """Asserts that two structures are nested in the same way.

  Refer to [tf.nest](https://www.tensorflow.org/api_docs/python/tf/nest)
  for the definition of a structure.

  Note the method does not check the types of atoms inside the structures.

  Examples:

  * These atom vs. atom comparisons will pass:

    >>> tf.nest.assert_same_structure(1.5, tf.Variable(1, tf.uint32))
    >>> tf.nest.assert_same_structure("abc", np.array([1, 2]))

  * These nested structure vs. nested structure comparisons will pass:

    >>> structure1 = (((1, 2), 3), 4, (5, 6))
    >>> structure2 = ((("foo1", "foo2"), "foo3"), "foo4", ("foo5", "foo6"))
    >>> structure3 = [(("a", "b"), "c"), "d", ["e", "f"]]
    >>> tf.nest.assert_same_structure(structure1, structure2)
    >>> tf.nest.assert_same_structure(structure1, structure3, check_types=False)

    >>> import collections
    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     collections.namedtuple("foo", "a b")(2, 3),
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     { "a": 1, "b": 2 },
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     { "a": 1, "b": 2, "c": 3 },
    ...     { "c": 6, "b": 5, "a": 4 })

    >>> ragged_tensor1 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4, 1, 5, 9, 2, 6],
    ...       row_splits=[0, 4, 4, 7, 8, 8])
    >>> ragged_tensor2 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4],
    ...       row_splits=[0, 3])
    >>> tf.nest.assert_same_structure(
    ...       ragged_tensor1,
    ...       ragged_tensor2,
    ...       expand_composites=True)

  * These examples will raise exceptions:

    >>> tf.nest.assert_same_structure([0, 1], np.array([0, 1]))
    Traceback (most recent call last):
    ...
    ValueError: The two structures don't have the same nested structure

    >>> tf.nest.assert_same_structure(
    ...       collections.namedtuple('bar', 'a b')(1, 2),
    ...       collections.namedtuple('foo', 'a b')(2, 3))
    Traceback (most recent call last):
    ...
    TypeError: The two structures don't have the same nested structure

  Args:
    nest1: an atom or a nested structure.
    nest2: an atom or a nested structure.
    check_types: if `True` (default) types of structures are checked as well,
      including the keys of dictionaries. If set to `False`, for example a list
      and a tuple of objects will look the same if they have the same size. Note
      that namedtuples with identical name and fields are always considered to
      have the same shallow structure. Two types will also be considered the
      same if they are both list subtypes (which allows "list" and
      "_ListWrapper" from trackable dependency tracking to compare equal).
      `check_types=True` only checks type of sub-structures. The types of atoms
      are not checked.
    expand_composites: If true, then composite tensors such as
      `tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
      component tensors.

  Raises:
    ValueError: If the two structures do not have the same number of atoms or
      if the two structures are not nested in the same way.
    TypeError: If the two structures differ in the type of sequence in any of
      their substructures. Only possible if `check_types` is `True`.
  """
  # Convert to bool explicitly as otherwise pybind will not be able# to handle
  # type mismatch message correctly. See GitHub issue 42329 for details.
  check_types = bool(check_types)
  expand_composites = bool(expand_composites)
  try:


  _pywrap_utils.AssertSameStructure(nest1, nest2, check_types,


                                      expand_composites)

E                                         ValueError: The two structures don't have the same nested structure.

E

E                                         First structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None)},), {'training': False})

E

E                                         Second structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_category'), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_intention'), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/position'), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_age'), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_brands'), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_categories'), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_1'), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_2'), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_gender'), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_geography'), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_group'), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_id'), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_intentions'), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_is_occupied'), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_brands'), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_categories'), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_intentions'), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_shops'), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_profile'), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_shops')},), {'testing': False, 'training': False})

E

E                                         More specifically: The two dictionaries don't have the same set of keys. First structure has keys type=list str=['training'], while second structure has keys type=list str=['testing', 'training']
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:567: ValueError
During handling of the above exception, another exception occurred:
ecommerce_data = <merlin.io.dataset.Dataset object at 0x7f65ecbfa6a0>

run_eagerly = True
def test_retrieval_model_query(ecommerce_data: Dataset, run_eagerly=True):
    query = ecommerce_data.schema.select_by_tag(Tags.USER_ID)
    candidate = ecommerce_data.schema.select_by_tag(Tags.ITEM_ID)

    def item_id_as_target(features, targets):
        targets[candidate.first.name] = features.pop(candidate.first.name)

        return features, targets

    loader = mm.Loader(ecommerce_data, batch_size=50, transform=item_id_as_target)

    model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(query, dim=8),
        output=mm.ContrastiveOutput(candidate, "in-batch"),
    )


  model, _ = testing_utils.model_test(model, loader, reload_model=True, run_eagerly=run_eagerly)


tests/unit/tf/models/test_base.py:690:

merlin/models/tf/utils/testing_utils.py:96: in model_test

loaded_model = tf.keras.models.load_model(tmpdir)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:60: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/saving/save.py:209: in load_model

return saved_model_load.load(filepath_str, compile, options)

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:145: in load

keras_loader.finalize_objects()

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:646: in finalize_objects

_finalize_saved_model_layers(layers_revived_from_saved_model)

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:842: in _finalize_saved_model_layers

args, kwargs = infer_inputs_from_restored_call_function(call_fn)

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:1157: in infer_inputs_from_restored_call_function

spec = tf.nest.map_structure(common_spec, spec, spec2)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:909: in map_structure

assert_same_structure(structure[0], other, check_types=check_types,

nest1 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), ...tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), ...},), {'training': False})

nest2 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(sh...': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), ...},), {'testing': False, 'training': False})

check_types = True, expand_composites = False
@tf_export("nest.assert_same_structure")
def assert_same_structure(nest1, nest2, check_types=True,
                          expand_composites=False):
  """Asserts that two structures are nested in the same way.

  Refer to [tf.nest](https://www.tensorflow.org/api_docs/python/tf/nest)
  for the definition of a structure.

  Note the method does not check the types of atoms inside the structures.

  Examples:

  * These atom vs. atom comparisons will pass:

    >>> tf.nest.assert_same_structure(1.5, tf.Variable(1, tf.uint32))
    >>> tf.nest.assert_same_structure("abc", np.array([1, 2]))

  * These nested structure vs. nested structure comparisons will pass:

    >>> structure1 = (((1, 2), 3), 4, (5, 6))
    >>> structure2 = ((("foo1", "foo2"), "foo3"), "foo4", ("foo5", "foo6"))
    >>> structure3 = [(("a", "b"), "c"), "d", ["e", "f"]]
    >>> tf.nest.assert_same_structure(structure1, structure2)
    >>> tf.nest.assert_same_structure(structure1, structure3, check_types=False)

    >>> import collections
    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     collections.namedtuple("foo", "a b")(2, 3),
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     { "a": 1, "b": 2 },
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     { "a": 1, "b": 2, "c": 3 },
    ...     { "c": 6, "b": 5, "a": 4 })

    >>> ragged_tensor1 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4, 1, 5, 9, 2, 6],
    ...       row_splits=[0, 4, 4, 7, 8, 8])
    >>> ragged_tensor2 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4],
    ...       row_splits=[0, 3])
    >>> tf.nest.assert_same_structure(
    ...       ragged_tensor1,
    ...       ragged_tensor2,
    ...       expand_composites=True)

  * These examples will raise exceptions:

    >>> tf.nest.assert_same_structure([0, 1], np.array([0, 1]))
    Traceback (most recent call last):
    ...
    ValueError: The two structures don't have the same nested structure

    >>> tf.nest.assert_same_structure(
    ...       collections.namedtuple('bar', 'a b')(1, 2),
    ...       collections.namedtuple('foo', 'a b')(2, 3))
    Traceback (most recent call last):
    ...
    TypeError: The two structures don't have the same nested structure

  Args:
    nest1: an atom or a nested structure.
    nest2: an atom or a nested structure.
    check_types: if `True` (default) types of structures are checked as well,
      including the keys of dictionaries. If set to `False`, for example a list
      and a tuple of objects will look the same if they have the same size. Note
      that namedtuples with identical name and fields are always considered to
      have the same shallow structure. Two types will also be considered the
      same if they are both list subtypes (which allows "list" and
      "_ListWrapper" from trackable dependency tracking to compare equal).
      `check_types=True` only checks type of sub-structures. The types of atoms
      are not checked.
    expand_composites: If true, then composite tensors such as
      `tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
      component tensors.

  Raises:
    ValueError: If the two structures do not have the same number of atoms or
      if the two structures are not nested in the same way.
    TypeError: If the two structures differ in the type of sequence in any of
      their substructures. Only possible if `check_types` is `True`.
  """
  # Convert to bool explicitly as otherwise pybind will not be able# to handle
  # type mismatch message correctly. See GitHub issue 42329 for details.
  check_types = bool(check_types)
  expand_composites = bool(expand_composites)
  try:
    _pywrap_utils.AssertSameStructure(nest1, nest2, check_types,
                                      expand_composites)
  except (ValueError, TypeError) as e:
    str1 = str(map_structure(lambda _: _DOT, nest1))
    str2 = str(map_structure(lambda _: _DOT, nest2))


  raise type(e)("%s\n"


                  "Entire first structure:\n%s\n"
                  "Entire second structure:\n%s"
                  % (str(e), str1, str2))

E       ValueError: The two structures don't have the same nested structure.

E

E       First structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None)},), {'training': False})

E

E       Second structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_category'), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_intention'), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/position'), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_age'), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_brands'), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_categories'), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_1'), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_2'), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_gender'), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_geography'), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_group'), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_id'), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_intentions'), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_is_occupied'), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_brands'), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_categories'), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_intentions'), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_shops'), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_profile'), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_shops')},), {'testing': False, 'training': False})

E

E       More specifically: The two dictionaries don't have the same set of keys. First structure has keys type=list str=['training'], while second structure has keys type=list str=['testing', 'training']

E       Entire first structure:

E       (({'item_brand': ., 'item_category': ., 'item_intention': ., 'item_shop': ., 'position': ., 'user_age': ., 'user_brands': ., 'user_categories': ., 'user_consumption_1': ., 'user_consumption_2': ., 'user_gender': ., 'user_geography': ., 'user_group': ., 'user_id': ., 'user_intentions': ., 'user_is_occupied': ., 'user_item_brands': ., 'user_item_categories': ., 'user_item_intentions': ., 'user_item_shops': ., 'user_profile': ., 'user_shops': .},), {'training': .})

E       Entire second structure:

E       (({'item_brand': ., 'item_category': ., 'item_intention': ., 'item_shop': ., 'position': ., 'user_age': ., 'user_brands': ., 'user_categories': ., 'user_consumption_1': ., 'user_consumption_2': ., 'user_gender': ., 'user_geography': ., 'user_group': ., 'user_id': ., 'user_intentions': ., 'user_is_occupied': ., 'user_item_brands': ., 'user_item_categories': ., 'user_item_intentions': ., 'user_item_shops': ., 'user_profile': ., 'user_shops': .},), {'testing': ., 'training': .})
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:572: ValueError

----------------------------- Captured stdout call -----------------------------
1/1 [==============================] - ETA: 0s - loss: 3.8932 - recall_at_10: 0.2800 - mrr_at_10: 0.1043 - ndcg_at_10: 0.1445 - map_at_10: 0.1043 - precision_at_10: 0.0280 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������

1/1 [==============================] - 1s 928ms/step - loss: 3.8932 - recall_at_10: 0.2800 - mrr_at_10: 0.1043 - ndcg_at_10: 0.1445 - map_at_10: 0.1043 - precision_at_10: 0.0280 - regularization_loss: 0.0000e+00

----------------------------- Captured stderr call -----------------------------

WARNING:tensorflow:Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

------------------------------ Captured log call -------------------------------

WARNING  tensorflow:utils.py:76 Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

WARNING  absl:save.py:233 Found untraced functions such as model_context_layer_call_fn, model_context_layer_call_and_return_conditional_losses, categorical_target_layer_call_fn, categorical_target_layer_call_and_return_conditional_losses, in_batch_sampler_v2_layer_call_fn while saving (showing 5 of 8). These functions will not be directly callable after loading.

_____________________ test_retrieval_model_query_candidate _____________________
ecommerce_data = <merlin.io.dataset.Dataset object at 0x7f65d718f130>

run_eagerly = True
def test_retrieval_model_query_candidate(ecommerce_data: Dataset, run_eagerly=True):
    query = ecommerce_data.schema.select_by_tag(Tags.USER_ID)
    candidate = ecommerce_data.schema.select_by_tag(Tags.ITEM_ID)
    model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(query, dim=8),
        candidate=mm.EmbeddingEncoder(candidate, dim=8),
        output=mm.ContrastiveOutput(candidate, "in-batch"),
    )


  reloaded_model, _ = testing_utils.model_test(model, ecommerce_data, reload_model=True)


tests/unit/tf/models/test_base.py:711:

model = RetrievalModelV2(

(blocks): _TupleWrapper((ParallelBlock(

(parallel_layers): Dict(

(query): EmbeddingEncod...ive_output'

)

(optimizer): Adam()

(loss): Dict(

(item_id/contrastive_output): CategoricalCrossEntropy()

)

)

dataset = <merlin.io.dataset.Dataset object at 0x7f65d718f130>

run_eagerly = True, optimizer = 'adam', epochs = 1, reload_model = True

kwargs = {}, losses = <keras.callbacks.History object at 0x7f65d7303100>

batch = ({'item_brand': <tf.Tensor: shape=(50, 1), dtype=int64, numpy=

array([[  2],

[ 16],

[ 40],

[ 64],...   [0],

[0],

[1],

[0],

[0],

[0],

[0],

[0],

[0],

[1]])>})

tmpdir = '/tmp/tmplksjyxis'

loaded_model = merlin_models>RetrievalModelV2(

(blocks): List(

(0): merlin.models>ParallelBlock(

(parallel_layers): Dict(...m_brands, user_item_categories, user_item_intentions, user_item_shops, user_profile, user_shops) at 0x7F65E687F610>})

)
def model_test(
    model: Model,
    dataset: Union[merlin.io.Dataset, Loader],
    run_eagerly: bool = True,
    optimizer="adam",
    epochs: int = 1,
    reload_model: bool = False,
    **kwargs,
) -> Tuple[Model, Any]:
    """Generic model test. It will compile & fit the model and make sure it can be re-trained."""

    model.compile(run_eagerly=run_eagerly, optimizer=optimizer, **kwargs)
    losses = model.fit(dataset, batch_size=50, epochs=epochs, steps_per_epoch=1)

    batch = sample_batch(dataset, batch_size=50, to_ragged=reload_model)

    if reload_model:
        with tempfile.TemporaryDirectory() as tmpdir:
            model.save(tmpdir)
            loaded_model = tf.keras.models.load_model(tmpdir)


      assert isinstance(loaded_model, type(model))


E           AssertionError
merlin/models/tf/utils/testing_utils.py:98: AssertionError

----------------------------- Captured stdout call -----------------------------
1/1 [==============================] - ETA: 0s - loss: 3.9010 - recall_at_10: 0.1400 - mrr_at_10: 0.0324 - ndcg_at_10: 0.0572 - map_at_10: 0.0324 - precision_at_10: 0.0140 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������

1/1 [==============================] - 1s 908ms/step - loss: 3.9010 - recall_at_10: 0.1400 - mrr_at_10: 0.0324 - ndcg_at_10: 0.0572 - map_at_10: 0.0324 - precision_at_10: 0.0140 - regularization_loss: 0.0000e+00

------------------------------ Captured log call -------------------------------

WARNING  absl:save.py:233 Found untraced functions such as model_context_layer_call_fn, model_context_layer_call_and_return_conditional_losses, dot_product_layer_call_fn, dot_product_layer_call_and_return_conditional_losses, in_batch_sampler_v2_layer_call_fn while saving (showing 5 of 10). These functions will not be directly callable after loading.

=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 5 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 21 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 7 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 21 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileurkl58_z.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working

elif isinstance(self.feature_names, collections.Sequence):
tests/unit/tf/core/test_index.py: 5 warnings

tests/unit/tf/models/test_retrieval.py: 26 warnings

tests/unit/tf/utils/test_batch.py: 4 warnings

tests/unit/tf/utils/test_dataset.py: 1 warning

/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.

warnings.warn(
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]

tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

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

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

==== 2 failed, 733 passed, 12 skipped, 1145 warnings in 1181.30s (0:19:41) =====

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins8402906086211685894.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit cf041766f2d377b44cc57f1663279a84e6042ad3, no merge conflicts.
Running as SYSTEM
Setting status of cf041766f2d377b44cc57f1663279a84e6042ad3 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1461/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse cf041766f2d377b44cc57f1663279a84e6042ad3^{commit} # timeout=10
Checking out Revision cf041766f2d377b44cc57f1663279a84e6042ad3 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f cf041766f2d377b44cc57f1663279a84e6042ad3 # timeout=10
Commit message: "Dummy commit"
 > git rev-list --no-walk 3489359e31a64cd37dc7109093b45e89bc1e4f42 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11533944739135405846.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-4.0.0
collected 747 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  6%]

tests/unit/tf/test_public_api.py .                                       [  6%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]

.....................                                                    [ 21%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]

tests/unit/tf/core/test_aggregation.py .........                         [ 25%]

tests/unit/tf/core/test_base.py ..                                       [ 25%]

tests/unit/tf/core/test_combinators.py s....................             [ 28%]

tests/unit/tf/core/test_encoder.py ..                                    [ 28%]

tests/unit/tf/core/test_index.py ...                                     [ 28%]

tests/unit/tf/core/test_prediction.py ..                                 [ 29%]

tests/unit/tf/core/test_tabular.py ......                                [ 29%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]

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[ 31%]

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......                                                                   [ 37%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]

tests/unit/tf/layers/test_queue.py ..............                        [ 41%]

tests/unit/tf/losses/test_losses.py .......................              [ 44%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]

tests/unit/tf/models/test_base.py s.................FF                   [ 51%]

tests/unit/tf/models/test_benchmark.py ..                                [ 51%]

tests/unit/tf/models/test_ranking.py ..................................  [ 55%]

tests/unit/tf/models/test_retrieval.py ................................  [ 60%]

tests/unit/tf/outputs/test_base.py .....                                 [ 60%]

tests/unit/tf/outputs/test_classification.py ......                      [ 61%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]

tests/unit/tf/outputs/test_regression.py ..                              [ 63%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]

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tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 67%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 67%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 68%]

tests/unit/tf/transformers/test_block.py ..............                  [ 70%]

tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]

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tests/unit/tf/transforms/test_features.py s............................. [ 75%]

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tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]

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tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]

tests/unit/torch/test_dataset.py .........                               [ 85%]

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tests/unit/torch/features/test_continuous.py ..                          [ 86%]

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tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 90%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=================================== FAILURES ===================================

__________________________ test_retrieval_model_query __________________________
nest1 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), ...tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), ...},), {'training': False})

nest2 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(sh...': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), ...},), {'testing': False, 'training': False})

check_types = True, expand_composites = False
@tf_export("nest.assert_same_structure")
def assert_same_structure(nest1, nest2, check_types=True,
                          expand_composites=False):
  """Asserts that two structures are nested in the same way.

  Refer to [tf.nest](https://www.tensorflow.org/api_docs/python/tf/nest)
  for the definition of a structure.

  Note the method does not check the types of atoms inside the structures.

  Examples:

  * These atom vs. atom comparisons will pass:

    >>> tf.nest.assert_same_structure(1.5, tf.Variable(1, tf.uint32))
    >>> tf.nest.assert_same_structure("abc", np.array([1, 2]))

  * These nested structure vs. nested structure comparisons will pass:

    >>> structure1 = (((1, 2), 3), 4, (5, 6))
    >>> structure2 = ((("foo1", "foo2"), "foo3"), "foo4", ("foo5", "foo6"))
    >>> structure3 = [(("a", "b"), "c"), "d", ["e", "f"]]
    >>> tf.nest.assert_same_structure(structure1, structure2)
    >>> tf.nest.assert_same_structure(structure1, structure3, check_types=False)

    >>> import collections
    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     collections.namedtuple("foo", "a b")(2, 3),
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     { "a": 1, "b": 2 },
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     { "a": 1, "b": 2, "c": 3 },
    ...     { "c": 6, "b": 5, "a": 4 })

    >>> ragged_tensor1 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4, 1, 5, 9, 2, 6],
    ...       row_splits=[0, 4, 4, 7, 8, 8])
    >>> ragged_tensor2 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4],
    ...       row_splits=[0, 3])
    >>> tf.nest.assert_same_structure(
    ...       ragged_tensor1,
    ...       ragged_tensor2,
    ...       expand_composites=True)

  * These examples will raise exceptions:

    >>> tf.nest.assert_same_structure([0, 1], np.array([0, 1]))
    Traceback (most recent call last):
    ...
    ValueError: The two structures don't have the same nested structure

    >>> tf.nest.assert_same_structure(
    ...       collections.namedtuple('bar', 'a b')(1, 2),
    ...       collections.namedtuple('foo', 'a b')(2, 3))
    Traceback (most recent call last):
    ...
    TypeError: The two structures don't have the same nested structure

  Args:
    nest1: an atom or a nested structure.
    nest2: an atom or a nested structure.
    check_types: if `True` (default) types of structures are checked as well,
      including the keys of dictionaries. If set to `False`, for example a list
      and a tuple of objects will look the same if they have the same size. Note
      that namedtuples with identical name and fields are always considered to
      have the same shallow structure. Two types will also be considered the
      same if they are both list subtypes (which allows "list" and
      "_ListWrapper" from trackable dependency tracking to compare equal).
      `check_types=True` only checks type of sub-structures. The types of atoms
      are not checked.
    expand_composites: If true, then composite tensors such as
      `tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
      component tensors.

  Raises:
    ValueError: If the two structures do not have the same number of atoms or
      if the two structures are not nested in the same way.
    TypeError: If the two structures differ in the type of sequence in any of
      their substructures. Only possible if `check_types` is `True`.
  """
  # Convert to bool explicitly as otherwise pybind will not be able# to handle
  # type mismatch message correctly. See GitHub issue 42329 for details.
  check_types = bool(check_types)
  expand_composites = bool(expand_composites)
  try:


  _pywrap_utils.AssertSameStructure(nest1, nest2, check_types,


                                      expand_composites)

E                                         ValueError: The two structures don't have the same nested structure.

E

E                                         First structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None)},), {'training': False})

E

E                                         Second structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_category'), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_intention'), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/position'), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_age'), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_brands'), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_categories'), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_1'), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_2'), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_gender'), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_geography'), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_group'), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_id'), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_intentions'), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_is_occupied'), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_brands'), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_categories'), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_intentions'), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_shops'), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_profile'), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_shops')},), {'testing': False, 'training': False})

E

E                                         More specifically: The two dictionaries don't have the same set of keys. First structure has keys type=list str=['training'], while second structure has keys type=list str=['testing', 'training']
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:567: ValueError
During handling of the above exception, another exception occurred:
ecommerce_data = <merlin.io.dataset.Dataset object at 0x7fb04f7b45b0>

run_eagerly = True
def test_retrieval_model_query(ecommerce_data: Dataset, run_eagerly=True):
    query = ecommerce_data.schema.select_by_tag(Tags.USER_ID)
    candidate = ecommerce_data.schema.select_by_tag(Tags.ITEM_ID)

    def item_id_as_target(features, targets):
        targets[candidate.first.name] = features.pop(candidate.first.name)

        return features, targets

    loader = mm.Loader(ecommerce_data, batch_size=50, transform=item_id_as_target)

    model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(query, dim=8),
        output=mm.ContrastiveOutput(candidate, "in-batch"),
    )


  model, _ = testing_utils.model_test(model, loader, reload_model=True, run_eagerly=run_eagerly)


tests/unit/tf/models/test_base.py:690:

merlin/models/tf/utils/testing_utils.py:96: in model_test

loaded_model = tf.keras.models.load_model(tmpdir)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:60: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/saving/save.py:209: in load_model

return saved_model_load.load(filepath_str, compile, options)

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:145: in load

keras_loader.finalize_objects()

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:646: in finalize_objects

_finalize_saved_model_layers(layers_revived_from_saved_model)

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:842: in _finalize_saved_model_layers

args, kwargs = infer_inputs_from_restored_call_function(call_fn)

/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/load.py:1157: in infer_inputs_from_restored_call_function

spec = tf.nest.map_structure(common_spec, spec, spec2)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:909: in map_structure

assert_same_structure(structure[0], other, check_types=check_types,

nest1 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), ...tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), ...},), {'training': False})

nest2 = (({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(sh...': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), ...},), {'testing': False, 'training': False})

check_types = True, expand_composites = False
@tf_export("nest.assert_same_structure")
def assert_same_structure(nest1, nest2, check_types=True,
                          expand_composites=False):
  """Asserts that two structures are nested in the same way.

  Refer to [tf.nest](https://www.tensorflow.org/api_docs/python/tf/nest)
  for the definition of a structure.

  Note the method does not check the types of atoms inside the structures.

  Examples:

  * These atom vs. atom comparisons will pass:

    >>> tf.nest.assert_same_structure(1.5, tf.Variable(1, tf.uint32))
    >>> tf.nest.assert_same_structure("abc", np.array([1, 2]))

  * These nested structure vs. nested structure comparisons will pass:

    >>> structure1 = (((1, 2), 3), 4, (5, 6))
    >>> structure2 = ((("foo1", "foo2"), "foo3"), "foo4", ("foo5", "foo6"))
    >>> structure3 = [(("a", "b"), "c"), "d", ["e", "f"]]
    >>> tf.nest.assert_same_structure(structure1, structure2)
    >>> tf.nest.assert_same_structure(structure1, structure3, check_types=False)

    >>> import collections
    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     collections.namedtuple("foo", "a b")(2, 3),
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     collections.namedtuple("bar", "a b")(1, 2),
    ...     { "a": 1, "b": 2 },
    ...     check_types=False)

    >>> tf.nest.assert_same_structure(
    ...     { "a": 1, "b": 2, "c": 3 },
    ...     { "c": 6, "b": 5, "a": 4 })

    >>> ragged_tensor1 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4, 1, 5, 9, 2, 6],
    ...       row_splits=[0, 4, 4, 7, 8, 8])
    >>> ragged_tensor2 = tf.RaggedTensor.from_row_splits(
    ...       values=[3, 1, 4],
    ...       row_splits=[0, 3])
    >>> tf.nest.assert_same_structure(
    ...       ragged_tensor1,
    ...       ragged_tensor2,
    ...       expand_composites=True)

  * These examples will raise exceptions:

    >>> tf.nest.assert_same_structure([0, 1], np.array([0, 1]))
    Traceback (most recent call last):
    ...
    ValueError: The two structures don't have the same nested structure

    >>> tf.nest.assert_same_structure(
    ...       collections.namedtuple('bar', 'a b')(1, 2),
    ...       collections.namedtuple('foo', 'a b')(2, 3))
    Traceback (most recent call last):
    ...
    TypeError: The two structures don't have the same nested structure

  Args:
    nest1: an atom or a nested structure.
    nest2: an atom or a nested structure.
    check_types: if `True` (default) types of structures are checked as well,
      including the keys of dictionaries. If set to `False`, for example a list
      and a tuple of objects will look the same if they have the same size. Note
      that namedtuples with identical name and fields are always considered to
      have the same shallow structure. Two types will also be considered the
      same if they are both list subtypes (which allows "list" and
      "_ListWrapper" from trackable dependency tracking to compare equal).
      `check_types=True` only checks type of sub-structures. The types of atoms
      are not checked.
    expand_composites: If true, then composite tensors such as
      `tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
      component tensors.

  Raises:
    ValueError: If the two structures do not have the same number of atoms or
      if the two structures are not nested in the same way.
    TypeError: If the two structures differ in the type of sequence in any of
      their substructures. Only possible if `check_types` is `True`.
  """
  # Convert to bool explicitly as otherwise pybind will not be able# to handle
  # type mismatch message correctly. See GitHub issue 42329 for details.
  check_types = bool(check_types)
  expand_composites = bool(expand_composites)
  try:
    _pywrap_utils.AssertSameStructure(nest1, nest2, check_types,
                                      expand_composites)
  except (ValueError, TypeError) as e:
    str1 = str(map_structure(lambda _: _DOT, nest1))
    str2 = str(map_structure(lambda _: _DOT, nest2))


  raise type(e)("%s\n"


                  "Entire first structure:\n%s\n"
                  "Entire second structure:\n%s"
                  % (str(e), str1, str2))

E       ValueError: The two structures don't have the same nested structure.

E

E       First structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name=None)},), {'training': False})

E

E       Second structure: type=tuple str=(({'item_brand': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_brand'), 'item_category': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_category'), 'item_intention': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_intention'), 'item_shop': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/item_shop'), 'position': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/position'), 'user_age': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_age'), 'user_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_brands'), 'user_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_categories'), 'user_consumption_1': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_1'), 'user_consumption_2': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_consumption_2'), 'user_gender': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_gender'), 'user_geography': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_geography'), 'user_group': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_group'), 'user_id': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_id'), 'user_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_intentions'), 'user_is_occupied': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_is_occupied'), 'user_item_brands': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_brands'), 'user_item_categories': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_categories'), 'user_item_intentions': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_intentions'), 'user_item_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_item_shops'), 'user_profile': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_profile'), 'user_shops': TensorSpec(shape=(None, 1), dtype=tf.int64, name='inputs/user_shops')},), {'testing': False, 'training': False})

E

E       More specifically: The two dictionaries don't have the same set of keys. First structure has keys type=list str=['training'], while second structure has keys type=list str=['testing', 'training']

E       Entire first structure:

E       (({'item_brand': ., 'item_category': ., 'item_intention': ., 'item_shop': ., 'position': ., 'user_age': ., 'user_brands': ., 'user_categories': ., 'user_consumption_1': ., 'user_consumption_2': ., 'user_gender': ., 'user_geography': ., 'user_group': ., 'user_id': ., 'user_intentions': ., 'user_is_occupied': ., 'user_item_brands': ., 'user_item_categories': ., 'user_item_intentions': ., 'user_item_shops': ., 'user_profile': ., 'user_shops': .},), {'training': .})

E       Entire second structure:

E       (({'item_brand': ., 'item_category': ., 'item_intention': ., 'item_shop': ., 'position': ., 'user_age': ., 'user_brands': ., 'user_categories': ., 'user_consumption_1': ., 'user_consumption_2': ., 'user_gender': ., 'user_geography': ., 'user_group': ., 'user_id': ., 'user_intentions': ., 'user_is_occupied': ., 'user_item_brands': ., 'user_item_categories': ., 'user_item_intentions': ., 'user_item_shops': ., 'user_profile': ., 'user_shops': .},), {'testing': ., 'training': .})
/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/nest.py:572: ValueError

----------------------------- Captured stdout call -----------------------------
1/1 [==============================] - ETA: 0s - loss: 3.8910 - recall_at_10: 0.3200 - mrr_at_10: 0.1170 - ndcg_at_10: 0.1630 - map_at_10: 0.1170 - precision_at_10: 0.0320 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������

1/1 [==============================] - 1s 902ms/step - loss: 3.8910 - recall_at_10: 0.3200 - mrr_at_10: 0.1170 - ndcg_at_10: 0.1630 - map_at_10: 0.1170 - precision_at_10: 0.0320 - regularization_loss: 0.0000e+00

----------------------------- Captured stderr call -----------------------------

WARNING:tensorflow:Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

------------------------------ Captured log call -------------------------------

WARNING  tensorflow:utils.py:76 Gradients do not exist for variables ['retrieval_model_v2/bias:0'] when minimizing the loss. If you're using model.compile(), did you forget to provide a lossargument?

WARNING  absl:save.py:233 Found untraced functions such as model_context_layer_call_fn, model_context_layer_call_and_return_conditional_losses, categorical_target_layer_call_fn, categorical_target_layer_call_and_return_conditional_losses, in_batch_sampler_v2_layer_call_fn while saving (showing 5 of 8). These functions will not be directly callable after loading.

_____________________ test_retrieval_model_query_candidate _____________________
ecommerce_data = <merlin.io.dataset.Dataset object at 0x7fb05e5d1fa0>

run_eagerly = True
def test_retrieval_model_query_candidate(ecommerce_data: Dataset, run_eagerly=True):
    query = ecommerce_data.schema.select_by_tag(Tags.USER_ID)
    candidate = ecommerce_data.schema.select_by_tag(Tags.ITEM_ID)
    model = mm.RetrievalModelV2(
        query=mm.EmbeddingEncoder(query, dim=8),
        candidate=mm.EmbeddingEncoder(candidate, dim=8),
        output=mm.ContrastiveOutput(candidate, "in-batch"),
    )


  reloaded_model, _ = testing_utils.model_test(model, ecommerce_data, reload_model=True)


tests/unit/tf/models/test_base.py:711:

model = RetrievalModelV2(

(blocks): TupleWrapper((ParallelBlock(

(parallel_layers): Dict(

(query): EmbeddingEncod...ive_output'

)

(optimizer): Adam()

(loss): Dict(

(item_id/contrastive_output): CategoricalCrossEntropy()

)

)

dataset = <merlin.io.dataset.Dataset object at 0x7fb05e5d1fa0>

run_eagerly = True, optimizer = 'adam', epochs = 1, reload_model = True

kwargs = {}, losses = <keras.callbacks.History object at 0x7fb05d84c250>

batch = ({'item_brand': <tf.Tensor: shape=(50, 1), dtype=int64, numpy=

array([[  2],

[ 16],

[ 40],

[ 64],...   [0],

[0],

[1],

[0],

[0],

[0],

[0],

[0],

[0],

[1]])>})

tmpdir = '/tmp/tmpxb3dej2'

loaded_model = merlin_models>RetrievalModelV2(

(blocks): List(

(0): merlin.models>ParallelBlock(

(parallel_layers): Dict(...m_brands, user_item_categories, user_item_intentions, user_item_shops, user_profile, user_shops) at 0x7FB05F86C1C0>})

)
def model_test(
    model: Model,
    dataset: Union[merlin.io.Dataset, Loader],
    run_eagerly: bool = True,
    optimizer="adam",
    epochs: int = 1,
    reload_model: bool = False,
    **kwargs,
) -> Tuple[Model, Any]:
    """Generic model test. It will compile & fit the model and make sure it can be re-trained."""

    model.compile(run_eagerly=run_eagerly, optimizer=optimizer, **kwargs)
    losses = model.fit(dataset, batch_size=50, epochs=epochs, steps_per_epoch=1)

    batch = sample_batch(dataset, batch_size=50, to_ragged=reload_model)

    if reload_model:
        with tempfile.TemporaryDirectory() as tmpdir:
            model.save(tmpdir)
            loaded_model = tf.keras.models.load_model(tmpdir)


      assert isinstance(loaded_model, type(model))


E           AssertionError
merlin/models/tf/utils/testing_utils.py:98: AssertionError

----------------------------- Captured stdout call -----------------------------
1/1 [==============================] - ETA: 0s - loss: 3.8988 - recall_at_10: 0.2200 - mrr_at_10: 0.0572 - ndcg_at_10: 0.0938 - map_at_10: 0.0572 - precision_at_10: 0.0220 - regularization_loss: 0.0000e+00�������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������

1/1 [==============================] - 1s 900ms/step - loss: 3.8988 - recall_at_10: 0.2200 - mrr_at_10: 0.0572 - ndcg_at_10: 0.0938 - map_at_10: 0.0572 - precision_at_10: 0.0220 - regularization_loss: 0.0000e+00

------------------------------ Captured log call -------------------------------

WARNING  absl:save.py:233 Found untraced functions such as model_context_layer_call_fn, model_context_layer_call_and_return_conditional_losses, dot_product_layer_call_fn, dot_product_layer_call_and_return_conditional_losses, in_batch_sampler_v2_layer_call_fn while saving (showing 5 of 10). These functions will not be directly callable after loading.

=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 5 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 21 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 7 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 21 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileesmoqw1e.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working

elif isinstance(self.feature_names, collections.Sequence):
tests/unit/tf/core/test_index.py: 5 warnings

tests/unit/tf/models/test_retrieval.py: 26 warnings

tests/unit/tf/utils/test_batch.py: 4 warnings

tests/unit/tf/utils/test_dataset.py: 1 warning

/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.

warnings.warn(
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]

tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

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

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

==== 2 failed, 733 passed, 12 skipped, 1145 warnings in 1177.25s (0:19:37) =====

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins14018761638502036520.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #761 of commit 48cd07d2d7b74812783aeae135ed214b07f45b39, no merge conflicts.
Running as SYSTEM
Setting status of 48cd07d2d7b74812783aeae135ed214b07f45b39 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1462/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/761/*:refs/remotes/origin/pr/761/* # timeout=10
 > git rev-parse 48cd07d2d7b74812783aeae135ed214b07f45b39^{commit} # timeout=10
Checking out Revision 48cd07d2d7b74812783aeae135ed214b07f45b39 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 48cd07d2d7b74812783aeae135ed214b07f45b39 # timeout=10
Commit message: "Fixing failing tests"
 > git rev-list --no-walk cf041766f2d377b44cc57f1663279a84e6042ad3 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11950152949568322348.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=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)
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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)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-4.0.0
collected 747 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  6%]

tests/unit/tf/test_public_api.py .                                       [  6%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [  9%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 14%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 18%]

.....................                                                    [ 21%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 22%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ............            [ 23%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 23%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 23%]

tests/unit/tf/core/test_aggregation.py .........                         [ 25%]

tests/unit/tf/core/test_base.py ..                                       [ 25%]

tests/unit/tf/core/test_combinators.py s....................             [ 28%]

tests/unit/tf/core/test_encoder.py ..                                    [ 28%]

tests/unit/tf/core/test_index.py ...                                     [ 28%]

tests/unit/tf/core/test_prediction.py ..                                 [ 29%]

tests/unit/tf/core/test_tabular.py ......                                [ 29%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 30%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 30%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 30%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 30%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 30%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 30%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 30%]

tests/unit/tf/examples/test_usecase_accelerate_training_by_lazyadam.py . [ 31%]

[ 31%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 31%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 31%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 31%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 36%]

......                                                                   [ 37%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 39%]

tests/unit/tf/layers/test_queue.py ..............                        [ 41%]

tests/unit/tf/losses/test_losses.py .......................              [ 44%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 45%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 48%]

tests/unit/tf/models/test_base.py s...................                   [ 51%]

tests/unit/tf/models/test_benchmark.py ..                                [ 51%]

tests/unit/tf/models/test_ranking.py ..................................  [ 55%]

tests/unit/tf/models/test_retrieval.py ................................  [ 60%]

tests/unit/tf/outputs/test_base.py .....                                 [ 60%]

tests/unit/tf/outputs/test_classification.py ......                      [ 61%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 63%]

tests/unit/tf/outputs/test_regression.py ..                              [ 63%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 63%]

tests/unit/tf/outputs/test_topk.py .                                     [ 63%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 64%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 66%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 67%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 67%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 67%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 68%]

tests/unit/tf/transformers/test_block.py ..............                  [ 70%]

tests/unit/tf/transformers/test_transforms.py ......                     [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 75%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py .........             [ 80%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_sequence.py ........                       [ 82%]

tests/unit/tf/transforms/test_tensor.py ...                              [ 82%]

tests/unit/tf/utils/test_batch.py ....                                   [ 83%]

tests/unit/tf/utils/test_dataset.py ..                                   [ 83%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 84%]

tests/unit/torch/test_dataset.py .........                               [ 85%]

tests/unit/torch/test_public_api.py .                                    [ 85%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 86%]

tests/unit/torch/features/test_continuous.py ..                          [ 86%]

tests/unit/torch/features/test_embedding.py ..............               [ 88%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 90%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 92%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 93%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

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

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

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

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

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

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

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

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

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

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

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

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 5 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 11 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 7 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 22 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transformers/test_block.py: 3 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_sequence.py: 8 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/tf/utils/test_dataset.py: 2 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:943: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/blocks/retrieval/test_two_tower.py: 1 warning

tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_filei1d6uprs.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working

elif isinstance(self.feature_names, collections.Sequence):
tests/unit/tf/core/test_index.py: 5 warnings

tests/unit/tf/models/test_retrieval.py: 26 warnings

tests/unit/tf/utils/test_batch.py: 4 warnings

tests/unit/tf/utils/test_dataset.py: 1 warning

/var/jenkins_home/workspace/merlin_models/models/merlin/models/utils/dataset.py:75: DeprecationWarning: unique_rows_by_features is deprecated and will be removed in a future version. Please use unique_by_tag instead.

warnings.warn(
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_base.py::test_retrieval_model_query

tests/unit/tf/models/test_base.py::test_retrieval_model_query

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py:294: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

tensor_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(tensor)))
tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]

tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

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

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_1:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/transformers/test_block.py::test_transformer_as_classfication_model[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/bert_block/prepare_transformer_inputs_1/RaggedToTensor/boolean_mask_1/GatherV2:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/concat_features/RaggedConcat/Slice_3:0", shape=(None, None), dtype=float32), dense_shape=Tensor("gradient_tape/model/concat_features/RaggedConcat/Shape_1:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:335: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 735 passed, 12 skipped, 1149 warnings in 1193.24s (0:19:53) ==========

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/jenkins351405791627112016.sh