CategoricalPrediction block with negatives support

[sararb]

Fixes #393

Goals ⚽

• Refactor the prediction block related to multi-classification and next item prediction task.
• The new prediction block also supports contrastive learning for sampled softmax support.

Implementation Details 🚧

• Add CategoricalPrediction layer : This new class allows the definition of multi-classification tasks from a schema, with either a dense layer or an embedding table as an output layer (weight-tying use-case).

• The class also supports negative sampling strategies (also known as sampled softmax) during training/evaluation to obtain top-k logits over a small subset of vocabulary.

• The negative sampling is handled by the new class ContrastiveLookUps. From a list of samples, it samples items ids and looks up their weights or embeddings.

• Weight-tying is handled via the new class EmbeddingTablePrediction. The logits are computed by multiplying the embedding weights by the hidden representations given by the neural network (inputs).

• Add a popularity-based sampler. It uses tf.random.log_uniform_candidate_sampler to approximate item probabilities using log_uniform (zipfisan). The only requirement is that the item ids are decreasingly sorted by their count frequency (which is the default in the NVTabular Categorify op).

Testing Details 🔍

• Testing new PopularityBasedSamplerV2
• Testing model with multi-classification task
• Testing model with next item prediction task
• Testing setting different negative sampling strategies: None, PopularitySampler, PopularitySampler + In-batch sampling

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GitHub pull request #625 of commit 16ebcb13e1f76982de220a0e8e92a63d546757d8, no merge conflicts.
Running as SYSTEM
Setting status of 16ebcb13e1f76982de220a0e8e92a63d546757d8 to PENDING with url https://10.20.13.93:8080/job/merlin_models/837/console and message: 'Pending'
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Checking out Revision 16ebcb13e1f76982de220a0e8e92a63d546757d8 (detached)
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Commit message: "Add first implementation of CategoricalPrediction with/without negatives"
 > git rev-list --no-walk ec1ef5ae2d1fcd829111d6d2ea758330dc01cf22 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins1916846082306198148.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 573 items / 2 skipped
tests/unit/config/test_schema.py ....                                    [  0%]

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=============================== warnings summary ===============================

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:768: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

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

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filecxi1x8nk.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 564 passed, 11 skipped, 101 warnings in 778.98s (0:12:58) ===========

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[merlin_models] $ /bin/bash /tmp/jenkins17036210875810367654.sh

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GitHub pull request #625 of commit 2f5d9f8e8a9422eaf4a1067bbbee09d4b31f231f, no merge conflicts.
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Commit message: "add unit tests"
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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) (3.8.0)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 574 items / 2 skipped
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  1%]

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

tests/unit/datasets/test_entertainment.py ....sss.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

tests/unit/tf/test_dataset.py ................                           [  8%]

tests/unit/tf/test_public_api.py .                                       [  8%]

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

tests/unit/tf/blocks/test_dlrm.py ........                               [ 11%]

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 17%]

tests/unit/tf/blocks/test_multi_optimizers.py s....................      [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 21%]

tests/unit/tf/blocks/retrieval/test_two_tower.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 ..................                [ 28%]

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

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

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

tests/unit/tf/core/test_transformations.py s............................ [ 35%]

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tests/unit/tf/data_augmentation/test_noise.py .....                      [ 38%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 38%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 38%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 39%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 39%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 39%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 39%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 39%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 40%]

tests/unit/tf/inputs/test_embedding.py ...F.......FF.............        [ 45%]

tests/unit/tf/inputs/test_tabular.py ........F.F.......                  [ 48%]

tests/unit/tf/layers/test_queue.py ..............                        [ 50%]

tests/unit/tf/losses/test_losses.py .......................              [ 54%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 55%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 58%]

tests/unit/tf/models/test_base.py ...........                            [ 60%]

tests/unit/tf/models/test_benchmark.py ..                                [ 60%]

tests/unit/tf/models/test_ranking.py ................                    [ 63%]

tests/unit/tf/models/test_retrieval.py ...............................   [ 69%]

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 72%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 73%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 73%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 74%]

tests/unit/tf/predictions/test_base.py .....                             [ 75%]

tests/unit/tf/predictions/test_classification.py .....                   [ 76%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 77%]

tests/unit/tf/predictions/test_regression.py ..                          [ 78%]

tests/unit/tf/predictions/test_sampling.py ..                            [ 78%]

tests/unit/tf/utils/test_batch.py ....                                   [ 79%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 79%]

tests/unit/torch/test_dataset.py .........                               [ 81%]

tests/unit/torch/test_public_api.py .                                    [ 81%]

tests/unit/torch/block/test_base.py ....                                 [ 81%]

tests/unit/torch/block/test_mlp.py .                                     [ 82%]

tests/unit/torch/features/test_continuous.py ..                          [ 82%]

tests/unit/torch/features/test_embedding.py ..............               [ 84%]

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

tests/unit/torch/model/test_head.py ............                         [ 87%]

tests/unit/torch/model/test_model.py ..                                  [ 87%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 89%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 89%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

___ TestEmbeddingTable.test_layer[32-kwargs0-inputs0-expected_output_shape0] ___
self = <tests.unit.tf.inputs.test_embedding.TestEmbeddingTable object at 0x7f2c47c255b0>

dim = 32, kwargs = {}

inputs = <tf.Tensor: shape=(1, 1), dtype=int32, numpy=array([[1]], dtype=int32)>

expected_output_shape = [1, 32]
@pytest.mark.parametrize(
    ["dim", "kwargs", "inputs", "expected_output_shape"],
    [
        (32, {}, tf.constant([[1]]), [1, 32]),
        (16, {}, tf.ragged.constant([[1, 2, 3], [4, 5]]), [2, None, 16]),
        (16, {"combiner": "mean"}, tf.ragged.constant([[1, 2, 3], [4, 5]]), [2, 16]),
        (16, {"combiner": "mean"}, tf.sparse.from_dense(tf.constant([[1, 2, 3]])), [1, 16]),
    ],
)
def test_layer(self, dim, kwargs, inputs, expected_output_shape):
    column_schema = self.sample_column_schema
    layer = mm.EmbeddingTable(dim, column_schema, **kwargs)

    output = layer(inputs)


  assert list(output.shape) == expected_output_shape


E       assert [32] == [1, 32]

E         At index 0 diff: 32 != 1

E         Right contains one more item: 32

E         Full diff:

E         - [1, 32]

E         + [32]
tests/unit/tf/inputs/test_embedding.py:84: AssertionError

________________ TestEmbeddingTable.test_from_pretrained[True] _________________
self = <tests.unit.tf.inputs.test_embedding.TestEmbeddingTable object at 0x7f2c47c25e80>

trainable = True

music_streaming_data = <merlin.io.dataset.Dataset object at 0x7f2de332aaf0>
@pytest.mark.parametrize("trainable", [True, False])
def test_from_pretrained(self, trainable, music_streaming_data: Dataset):
    vocab_size = music_streaming_data.schema.column_schemas["item_id"].int_domain.max + 1
    embedding_dim = 32
    weights = np.random.rand(vocab_size, embedding_dim)
    pre_trained_weights_df = pd.DataFrame(weights)

    embedding_table = mm.EmbeddingTable.from_pretrained(
        pre_trained_weights_df, name="item_id", trainable=trainable
    )

    assert embedding_table.input_dim == vocab_size

    inputs = tf.constant([[1]])
    output = embedding_table(inputs)


  assert list(output.shape) == [1, embedding_dim]


E       assert [32] == [1, 32]

E         At index 0 diff: 32 != 1

E         Right contains one more item: 32

E         Full diff:

E         - [1, 32]

E         + [32]
tests/unit/tf/inputs/test_embedding.py:174: AssertionError

________________ TestEmbeddingTable.test_from_pretrained[False] ________________
self = <tests.unit.tf.inputs.test_embedding.TestEmbeddingTable object at 0x7f2c47c25f10>

trainable = False

music_streaming_data = <merlin.io.dataset.Dataset object at 0x7f2d442f46d0>
@pytest.mark.parametrize("trainable", [True, False])
def test_from_pretrained(self, trainable, music_streaming_data: Dataset):
    vocab_size = music_streaming_data.schema.column_schemas["item_id"].int_domain.max + 1
    embedding_dim = 32
    weights = np.random.rand(vocab_size, embedding_dim)
    pre_trained_weights_df = pd.DataFrame(weights)

    embedding_table = mm.EmbeddingTable.from_pretrained(
        pre_trained_weights_df, name="item_id", trainable=trainable
    )

    assert embedding_table.input_dim == vocab_size

    inputs = tf.constant([[1]])
    output = embedding_table(inputs)


  assert list(output.shape) == [1, embedding_dim]


E       assert [32] == [1, 32]

E         At index 0 diff: 32 != 1

E         Right contains one more item: 32

E         Full diff:

E         - [1, 32]

E         + [32]
tests/unit/tf/inputs/test_embedding.py:174: AssertionError

________ test_tabular_features_yoochoose_model_inputblockv2[None-False] ________
music_streaming_data = <merlin.io.dataset.Dataset object at 0x7f2d48dcd820>

run_eagerly = False, continuous_projection = None
@testing_utils.mark_run_eagerly_modes
@pytest.mark.parametrize("continuous_projection", [None, 128])
def test_tabular_features_yoochoose_model_inputblockv2(
    music_streaming_data: Dataset, run_eagerly, continuous_projection
):
    if continuous_projection:
        continuous_projection = ml.MLPBlock([continuous_projection])
    inputs = ml.InputBlockV2(
        music_streaming_data.schema,
        continuous_projection=continuous_projection,
        aggregation="concat",
    )

    body = ml.SequentialBlock([inputs, ml.MLPBlock([64])])
    model = ml.Model(body, ml.BinaryClassificationTask("click"))


  testing_utils.model_test(model, music_streaming_data, run_eagerly=run_eagerly)


tests/unit/tf/inputs/test_tabular.py:92:

merlin/models/tf/utils/testing_utils.py:89: in model_test

losses = model.fit(dataset, batch_size=50, epochs=epochs, steps_per_epoch=1)

merlin/models/tf/models/base.py:713: in fit

return super().fit(**fit_kwargs)

/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/engine/training.py:1409: in fit

tmp_logs = self.train_function(iterator)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/traceback_utils.py:141: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:915: in call

result = self.call(*args, **kwds)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:963: in call

self.initialize(args, kwds, add_initializers_to=initializers)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:785: in initialize

self.stateful_fn.get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py:2480: in get_concrete_function_internal_garbage_collected

graph_function, _ = self.maybe_define_function(args, kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py:2711: in maybe_define_function

graph_function = self.create_graph_function(args, kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py:2627: in create_graph_function

func_graph_module.func_graph_from_py_func(

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py:1141: in func_graph_from_py_func

func_outputs = python_func(*func_args, **func_kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:677: in wrapped_fn

out = weak_wrapped_fn().wrapped(*args, **kwds)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py:1127: in autograph_handler

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py:1116: in autograph_handler

return autograph.converted_call(

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file353vo209.py:15: in tf__train_function

retval = ag.converted_call(ag.ld(step_function), (ag.ld(self), ag.ld(iterator)), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:377: in converted_call

return call_unconverted(f, args, kwargs, options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:459: in call_unconverted

return f(*args)

/usr/local/lib/python3.8/dist-packages/keras/engine/training.py:1040: in step_function

outputs = model.distribute_strategy.run(run_step, args=(data,))

/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py:1312: in run

return self.extended.call_for_each_replica(fn, args=args, kwargs=kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py:2888: in call_for_each_replica

return self.call_for_each_replica(fn, args, kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py:3689: in call_for_each_replica

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:377: in converted_call

return call_unconverted(f, args, kwargs, options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/engine/training.py:1030: in run_step

outputs = model.train_step(data)

merlin/models/tf/models/base.py:572: in train_step

outputs = self.call_train_test(x, y, sample_weight=sample_weight, training=True)

merlin/models/tf/models/base.py:502: in call_train_test

forward = self(

/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/engine/training.py:490: in call

return super().call(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filet6lcqlfk.py:42: in tf__call

ag.for_stmt(ag.ld(self).blocks, None, loop_body, get_state_1, set_state_1, ('context', 'outputs'), {'iterate_names': 'block'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_filet6lcqlfk.py:40: in loop_body

(outputs, context) = ag.converted_call(ag.ld(self).call_child, (ag.ld(block), ag.ld(outputs), ag.ld(context)), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_file8kc7i77b.py:25: in tf___call_child

outputs = ag.converted_call(ag.ld(call_layer), (ag_.ld(child), ag__.ld(inputs)), dict(**ag__.ld(call_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file0tct_b70.py:50: in tf__call_layer

retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filed7_sfq_3.py:14: in tf____call

retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:331: in converted_call

return call_unconverted(f, args, kwargs, options, False)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_fileuqbfrzgu.py:25: in tf__call

ag.for_stmt(ag.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_fileuqbfrzgu.py:22: in loop_body

outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file0tct_b70.py:50: in tf__call_layer

retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filed7_sfq_3.py:14: in tf____call

retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:331: in converted_call

return call_unconverted(f, args, kwargs, options, False)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_fileuqbfrzgu.py:25: in tf__call

ag.for_stmt(ag.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_fileuqbfrzgu.py:22: in loop_body

outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file0tct_b70.py:50: in tf__call_layer

retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filet1vjqdcw.py:28: in tf___tabular_call

ag.if_stmt(ag__.converted_call(ag__.ld(isinstance), (ag__.ld(outputs), ag__.ld(dict)), None, fscope), if_body, else_body, get_state, set_state, ('outputs',), 1)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1341: in if_stmt

py_if_stmt(cond, body, orelse)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1394: in py_if_stmt

return body() if cond else orelse()

/tmp/autograph_generated_filet1vjqdcw.py:23: in if_body

outputs = ag.converted_call(ag.ld(self).post_call, (ag__.ld(outputs),), dict(transformations=ag__.ld(post), merge_with=ag__.ld(merge_with), aggregation=ag__.ld(aggregation)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filesrt4gshp.py:116: in tf__post_call

ag.if_stmt(ag__.ld(aggregation), if_body_4, else_body_4, get_state_5, set_state_5, ('do_return', 'retval'), 2)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1341: in if_stmt

py_if_stmt(cond, body, orelse)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1394: in py_if_stmt

return body() if cond else orelse()

/tmp/autograph_generated_filesrt4gshp.py:103: in if_body_4

retval = ag.converted_call(ag_.ld(aggregation), (ag_.ld(outputs),), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_filed7_sfq_3.py:14: in tf____call

retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:331: in converted_call

return call_unconverted(f, args, kwargs, options, False)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filehbd2tjn.py:10: in tf__call

ag.converted_call(ag_.ld(self).expand_non_sequential_features, (ag_.ld(inputs),), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_file8c6u5c65.py:11: in tf___expand_non_sequential_features

(seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_file5i3t4fm.py:35: in tf___get_seq_features_shapes

ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_file5i3t4fm.py:32: in loop_body

ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: in converted_call

return py_builtins.overload_of(f)(*args)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py:242: in len_

return _py_len(s)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py:307: in _py_len

return len(s)

self = TensorShape(None)
def __len__(self):
  """Returns the rank of this shape, or raises ValueError if unspecified."""
  if self._dims is None:


  raise ValueError("Cannot take the length of shape with unknown rank.")


E       ValueError: in user code:

E

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 1051, in train_function  *

E               return step_function(self, iterator)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 1040, in step_function  **

E               outputs = model.distribute_strategy.run(run_step, args=(data,))

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 1312, in run

E               return self.extended.call_for_each_replica(fn, args=args, kwargs=kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 2888, in call_for_each_replica

E               return self.call_for_each_replica(fn, args, kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 3689, in call_for_each_replica

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 1030, in run_step  **

E               outputs = model.train_step(data)

E           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 572, in train_step

E               outputs = self.call_train_test(x, y, sample_weight=sample_weight, training=True)

E           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 502, in call_train_test

E               forward = self(

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 490, in call

E               return super().call(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_filet6lcqlfk.py", line 42, in tf__call  **

E               ag.for_stmt(ag.ld(self).blocks, None, loop_body, get_state_1, set_state_1, ('context', 'outputs'), {'iterate_names': 'block'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_filet6lcqlfk.py", line 40, in loop_body

E               (outputs, context) = ag.converted_call(ag.ld(self).call_child, (ag_.ld(block), ag__.ld(outputs), ag__.ld(context)), None, fscope)

E           File "/tmp/autograph_generated_file8kc7i77b.py", line 25, in tf___call_child  **

E               outputs = ag.converted_call(ag__.ld(call_layer), (ag__.ld(child), ag__.ld(inputs)), dict(**ag__.ld(call_kwargs)), fscope)

E           File "/tmp/autograph_generated_file0tct_b70.py", line 50, in tf__call_layer  **

E               retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

E           File "/tmp/autograph_generated_filed7_sfq_3.py", line 14, in tf____call  **

E               retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 25, in tf__call  **

E               ag.for_stmt(ag__.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 22, in loop_body

E               outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

E           File "/tmp/autograph_generated_file0tct_b70.py", line 50, in tf__call_layer  **

E               retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

E           File "/tmp/autograph_generated_filed7_sfq_3.py", line 14, in tf____call  **

E               retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 25, in tf__call  **

E               ag.for_stmt(ag__.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 22, in loop_body

E               outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

E           File "/tmp/autograph_generated_file0tct_b70.py", line 50, in tf__call_layer  **

E               retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

E           File "/tmp/autograph_generated_filet1vjqdcw.py", line 28, in tf___tabular_call  **

E               ag.if_stmt(ag__.converted_call(ag__.ld(isinstance), (ag__.ld(outputs), ag__.ld(dict)), None, fscope), if_body, else_body, get_state, set_state, ('outputs',), 1)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1341, in if_stmt

E               py_if_stmt(cond, body, orelse)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1394, in py_if_stmt

E               return body() if cond else orelse()

E           File "/tmp/autograph_generated_filet1vjqdcw.py", line 23, in if_body

E               outputs = ag.converted_call(ag.ld(self).post_call, (ag__.ld(outputs),), dict(transformations=ag__.ld(post), merge_with=ag__.ld(merge_with), aggregation=ag__.ld(aggregation)), fscope)

E           File "/tmp/autograph_generated_filesrt4gshp.py", line 116, in tf__post_call  **

E               ag.if_stmt(ag__.ld(aggregation), if_body_4, else_body_4, get_state_5, set_state_5, ('do_return', 'retval'), 2)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1341, in if_stmt

E               py_if_stmt(cond, body, orelse)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1394, in py_if_stmt

E               return body() if cond else orelse()

E           File "/tmp/autograph_generated_filesrt4gshp.py", line 103, in if_body_4

E               retval = ag.converted_call(ag_.ld(aggregation), (ag_.ld(outputs),), None, fscope)

E           File "/tmp/autograph_generated_filed7_sfq_3.py", line 14, in tf____call  **

E               retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E               ag_.converted_call(ag__.ld(self).expand_non_sequential_features, (ag_.ld(inputs),), None, fscope)

E           File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E               (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E           File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E               ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E               ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E               return py_len(s)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in py_len

E               return len(s)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E               raise ValueError("Cannot take the length of shape with unknown rank.")

E

E           ValueError: Exception encountered when calling layer "model" (type Model).

E

E           in user code:

E

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 910, in call  *

E                   outputs, context = self.call_child(block, outputs, context)

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 939, in call_child  *

E                   outputs = call_layer(child, inputs, **call_kwargs)

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py", line 362, in call_layer  *

E                   return layer(inputs, *args, **filtered_kwargs)

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/config/schema.py", line 58, in call  *

E                   return super().call(*args, **kwargs)

E               File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E                   return fn(*args, **kwargs)

E               File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E                   outputs = call_fn(inputs, *args, **kwargs)

E               File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E                   raise new_e.with_traceback(e.traceback) from None

E               File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E                   return fn(*args, **kwargs)

E               File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E                   ag.converted_call(ag.ld(self).expand_non_sequential_features, (ag.ld(inputs),), None, fscope)

E               File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E                   (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E               File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E                   ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E                   py_for_stmt(iter, extra_test, body, None, None)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E                   body(target)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E                   original_body(protected_iter)

E               File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E                   ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E                   return py_len(s)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in py_len

E                   return len(s)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                   raise ValueError("Cannot take the length of shape with unknown rank.")

E

E               ValueError: Exception encountered when calling layer "sequential_block_2" (type SequentialBlock).

E

E               in user code:

E

E                   File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/combinators.py", line 283, in call  *

E                       outputs = call_layer(layer, outputs, training=training, **kwargs)

E                   File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py", line 362, in call_layer  *

E                       return layer(inputs, *args, **filtered_kwargs)

E                   File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/config/schema.py", line 58, in call  *

E                       return super().call(*args, **kwargs)

E                   File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E                       return fn(*args, **kwargs)

E                   File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E                       outputs = call_fn(inputs, *args, **kwargs)

E                   File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E                       raise new_e.with_traceback(e.traceback) from None

E                   File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E                       return fn(*args, **kwargs)

E                   File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E                       ag.converted_call(ag_.ld(self).expand_non_sequential_features, (ag_.ld(inputs),), None, fscope)

E                   File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E                       (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E                   File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E                       ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E                       py_for_stmt(iter, extra_test, body, None, None)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E                       body(target)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E                       original_body(protected_iter)

E                   File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E                       ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E                       return py_len(s)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in py_len

E                       return len(s)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                       raise ValueError("Cannot take the length of shape with unknown rank.")

E

E                   ValueError: Exception encountered when calling layer "sequential_block" (type SequentialBlock).

E

E                   in user code:

E

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/combinators.py", line 283, in call  *

E                           outputs = call_layer(layer, outputs, training=training, **kwargs)

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py", line 362, in call_layer  *

E                           return layer(inputs, *args, **filtered_kwargs)

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 486, in tabular_call  *

E                           outputs = self.post_call(

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 269, in post_call  *

E                           return aggregation(outputs)

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/config/schema.py", line 58, in call  *

E                           return super().call(*args, **kwargs)

E                       File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E                           return fn(*args, **kwargs)

E                       File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E                           outputs = call_fn(inputs, *args, **kwargs)

E                       File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E                           raise new_e.with_traceback(e.traceback) from None

E                       File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E                           return fn(*args, **kwargs)

E                       File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E                           ag.converted_call(ag.ld(self).expand_non_sequential_features, (ag.ld(inputs),), None, fscope)

E                       File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E                           (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E                       File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E                           ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E                           py_for_stmt(iter, extra_test, body, None, None)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E                           body(target)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E                           original_body(protected_iter)

E                       File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E                           ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E                           return _py_len(s)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in _py_len

E                           return len(s)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                           raise ValueError("Cannot take the length of shape with unknown rank.")

E

E                       ValueError: Exception encountered when calling layer "concat_features" (type ConcatFeatures).

E

E                       in user code:

E

E                           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/aggregation.py", line 56, in call  *

E                               self._expand_non_sequential_features(inputs)

E                           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 31, in _expand_non_sequential_features  *

E                               seq_features_shapes, sequence_length = self._get_seq_features_shapes(inputs_sizes)

E                           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 45, in get_seq_features_shapes  *

E                               if len(fshape) >= 3:

E                           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len  **

E                               return _py_len(s)

E                           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in _py_len

E                               return len(s)

E                           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                               raise ValueError("Cannot take the length of shape with unknown rank.")

E

E                           ValueError: Cannot take the length of shape with unknown rank.

E

E

E                       Call arguments received by layer "concat_features" (type ConcatFeatures):

E                         • inputs={'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)', 'session_id': 'tf.Tensor(shape=, dtype=float32)', 'item_id': 'tf.Tensor(shape=, dtype=float32)', 'item_category': 'tf.Tensor(shape=, dtype=float32)', 'item_genres': 'tf.Tensor(shape=(None, 8), dtype=float32)', 'user_id': 'tf.Tensor(shape=, dtype=float32)', 'country': 'tf.Tensor(shape=, dtype=float32)', 'user_genres': 'tf.Tensor(shape=(None, 8), dtype=float32)'}

E                         • kwargs={'training': 'True'}

E

E

E                   Call arguments received by layer "sequential_block" (type SequentialBlock):

E                     • inputs={'item_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'user_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}

E                     • training=True

E                     • kwargs={'features': {'item_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths/control_dependency:0", shape=(None,), dtype=int32))', 'user_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice_2:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths_1/control_dependency:0", shape=(None,), dtype=int32))', 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}, 'testing': 'False', 'mask': ('None',), 'targets': {'click': 'tf.Tensor(shape=(None, None), dtype=float64)', 'like': 'tf.Tensor(shape=(None, None), dtype=float64)', 'play_percentage': 'tf.Tensor(shape=(None, None), dtype=float64)'}}

E

E

E               Call arguments received by layer "sequential_block_2" (type SequentialBlock):

E                 • inputs={'item_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'user_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}

E                 • training=True

E                 • kwargs={'features': {'item_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths/control_dependency:0", shape=(None,), dtype=int32))', 'user_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice_2:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths_1/control_dependency:0", shape=(None,), dtype=int32))', 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}, 'testing': 'False', 'mask': ('None',), 'targets': {'click': 'tf.Tensor(shape=(None, None), dtype=float64)', 'like': 'tf.Tensor(shape=(None, None), dtype=float64)', 'play_percentage': 'tf.Tensor(shape=(None, None), dtype=float64)'}}

E

E

E           Call arguments received by layer "model" (type Model):

E             • inputs={'item_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'user_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}

E             • targets={'click': 'tf.Tensor(shape=(None, None), dtype=float64)', 'like': 'tf.Tensor(shape=(None, None), dtype=float64)', 'play_percentage': 'tf.Tensor(shape=(None, None), dtype=float64)'}

E             • training=True

E             • testing=False

E             • output_context=False
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py:868: ValueError

________ test_tabular_features_yoochoose_model_inputblockv2[128-False] _________
music_streaming_data = <merlin.io.dataset.Dataset object at 0x7f2de35ad0d0>

run_eagerly = False

continuous_projection = MLPBlock(

(layers): List(

(0): _Dense(

(dense): Dense(

128, activation=relu, use_bias=True

...nt64

(country): tf.int64

(item_recency): tf.float32

(user_age): tf.float32

(position): tf.float32

)

)
@testing_utils.mark_run_eagerly_modes
@pytest.mark.parametrize("continuous_projection", [None, 128])
def test_tabular_features_yoochoose_model_inputblockv2(
    music_streaming_data: Dataset, run_eagerly, continuous_projection
):
    if continuous_projection:
        continuous_projection = ml.MLPBlock([continuous_projection])
    inputs = ml.InputBlockV2(
        music_streaming_data.schema,
        continuous_projection=continuous_projection,
        aggregation="concat",
    )

    body = ml.SequentialBlock([inputs, ml.MLPBlock([64])])
    model = ml.Model(body, ml.BinaryClassificationTask("click"))


  testing_utils.model_test(model, music_streaming_data, run_eagerly=run_eagerly)


tests/unit/tf/inputs/test_tabular.py:92:

merlin/models/tf/utils/testing_utils.py:89: in model_test

losses = model.fit(dataset, batch_size=50, epochs=epochs, steps_per_epoch=1)

merlin/models/tf/models/base.py:713: in fit

return super().fit(**fit_kwargs)

/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/engine/training.py:1409: in fit

tmp_logs = self.train_function(iterator)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/traceback_utils.py:141: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:915: in call

result = self.call(*args, **kwds)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:963: in call

self.initialize(args, kwds, add_initializers_to=initializers)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:785: in initialize

self.stateful_fn.get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py:2480: in get_concrete_function_internal_garbage_collected

graph_function, _ = self.maybe_define_function(args, kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py:2711: in maybe_define_function

graph_function = self.create_graph_function(args, kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/function.py:2627: in create_graph_function

func_graph_module.func_graph_from_py_func(

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py:1141: in func_graph_from_py_func

func_outputs = python_func(*func_args, **func_kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/eager/def_function.py:677: in wrapped_fn

out = weak_wrapped_fn().wrapped(*args, **kwds)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py:1127: in autograph_handler

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/func_graph.py:1116: in autograph_handler

return autograph.converted_call(

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file353vo209.py:15: in tf__train_function

retval = ag.converted_call(ag.ld(step_function), (ag.ld(self), ag.ld(iterator)), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:377: in converted_call

return call_unconverted(f, args, kwargs, options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:459: in call_unconverted

return f(*args)

/usr/local/lib/python3.8/dist-packages/keras/engine/training.py:1040: in step_function

outputs = model.distribute_strategy.run(run_step, args=(data,))

/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py:1312: in run

return self.extended.call_for_each_replica(fn, args=args, kwargs=kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py:2888: in call_for_each_replica

return self.call_for_each_replica(fn, args, kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py:3689: in call_for_each_replica

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:377: in converted_call

return call_unconverted(f, args, kwargs, options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/engine/training.py:1030: in run_step

outputs = model.train_step(data)

merlin/models/tf/models/base.py:572: in train_step

outputs = self.call_train_test(x, y, sample_weight=sample_weight, training=True)

merlin/models/tf/models/base.py:502: in call_train_test

forward = self(

/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/engine/training.py:490: in call

return super().call(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filet6lcqlfk.py:42: in tf__call

ag.for_stmt(ag.ld(self).blocks, None, loop_body, get_state_1, set_state_1, ('context', 'outputs'), {'iterate_names': 'block'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_filet6lcqlfk.py:40: in loop_body

(outputs, context) = ag.converted_call(ag.ld(self).call_child, (ag.ld(block), ag.ld(outputs), ag.ld(context)), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_file8kc7i77b.py:25: in tf___call_child

outputs = ag.converted_call(ag.ld(call_layer), (ag_.ld(child), ag__.ld(inputs)), dict(**ag__.ld(call_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file0tct_b70.py:50: in tf__call_layer

retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filed7_sfq_3.py:14: in tf____call

retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:331: in converted_call

return call_unconverted(f, args, kwargs, options, False)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_fileuqbfrzgu.py:25: in tf__call

ag.for_stmt(ag.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_fileuqbfrzgu.py:22: in loop_body

outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file0tct_b70.py:50: in tf__call_layer

retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filed7_sfq_3.py:14: in tf____call

retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:331: in converted_call

return call_unconverted(f, args, kwargs, options, False)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_fileuqbfrzgu.py:25: in tf__call

ag.for_stmt(ag.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_fileuqbfrzgu.py:22: in loop_body

outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_file0tct_b70.py:50: in tf__call_layer

retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filet1vjqdcw.py:28: in tf___tabular_call

ag.if_stmt(ag__.converted_call(ag__.ld(isinstance), (ag__.ld(outputs), ag__.ld(dict)), None, fscope), if_body, else_body, get_state, set_state, ('outputs',), 1)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1341: in if_stmt

py_if_stmt(cond, body, orelse)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1394: in py_if_stmt

return body() if cond else orelse()

/tmp/autograph_generated_filet1vjqdcw.py:23: in if_body

outputs = ag.converted_call(ag.ld(self).post_call, (ag__.ld(outputs),), dict(transformations=ag__.ld(post), merge_with=ag__.ld(merge_with), aggregation=ag__.ld(aggregation)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filesrt4gshp.py:116: in tf__post_call

ag.if_stmt(ag__.ld(aggregation), if_body_4, else_body_4, get_state_5, set_state_5, ('do_return', 'retval'), 2)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1341: in if_stmt

py_if_stmt(cond, body, orelse)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:1394: in py_if_stmt

return body() if cond else orelse()

/tmp/autograph_generated_filesrt4gshp.py:103: in if_body_4

retval = ag.converted_call(ag_.ld(aggregation), (ag_.ld(outputs),), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_filed7_sfq_3.py:14: in tf____call

retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:331: in converted_call

return call_unconverted(f, args, kwargs, options, False)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:458: in call_unconverted

return f(*args, **kwargs)

/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/engine/base_layer.py:1014: in call

outputs = call_fn(inputs, *args, **kwargs)

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:146: in error_handler

raise new_e.with_traceback(e.traceback) from None

/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py:92: in error_handler

return fn(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:692: in wrapper

raise e.ag_error_metadata.to_exception(e)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:689: in wrapper

return converted_call(f, args, kwargs, options=options)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:439: in converted_call

result = converted_f(*effective_args, **kwargs)

/tmp/autograph_generated_filehbd2tjn.py:10: in tf__call

ag.converted_call(ag_.ld(self).expand_non_sequential_features, (ag_.ld(inputs),), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_file8c6u5c65.py:11: in tf___expand_non_sequential_features

(seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:441: in converted_call

result = converted_f(*effective_args)

/tmp/autograph_generated_file5i3t4fm.py:35: in tf___get_seq_features_shapes

ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:449: in for_stmt

py_for_stmt(iter, extra_test, body, None, None)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:498: in py_for_stmt

body(target)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py:464: in protected_body

original_body(protected_iter)

/tmp/autograph_generated_file5i3t4fm.py:32: in loop_body

ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: in converted_call

return py_builtins.overload_of(f)(*args)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py:242: in len_

return _py_len(s)

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py:307: in _py_len

return len(s)

self = TensorShape(None)
def __len__(self):
  """Returns the rank of this shape, or raises ValueError if unspecified."""
  if self._dims is None:


  raise ValueError("Cannot take the length of shape with unknown rank.")


E       ValueError: in user code:

E

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 1051, in train_function  *

E               return step_function(self, iterator)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 1040, in step_function  **

E               outputs = model.distribute_strategy.run(run_step, args=(data,))

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 1312, in run

E               return self.extended.call_for_each_replica(fn, args=args, kwargs=kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 2888, in call_for_each_replica

E               return self.call_for_each_replica(fn, args, kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/distribute/distribute_lib.py", line 3689, in call_for_each_replica

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 1030, in run_step  **

E               outputs = model.train_step(data)

E           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 572, in train_step

E               outputs = self.call_train_test(x, y, sample_weight=sample_weight, training=True)

E           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 502, in call_train_test

E               forward = self(

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 490, in call

E               return super().call(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_filet6lcqlfk.py", line 42, in tf__call  **

E               ag.for_stmt(ag.ld(self).blocks, None, loop_body, get_state_1, set_state_1, ('context', 'outputs'), {'iterate_names': 'block'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_filet6lcqlfk.py", line 40, in loop_body

E               (outputs, context) = ag.converted_call(ag.ld(self).call_child, (ag_.ld(block), ag__.ld(outputs), ag__.ld(context)), None, fscope)

E           File "/tmp/autograph_generated_file8kc7i77b.py", line 25, in tf___call_child  **

E               outputs = ag.converted_call(ag__.ld(call_layer), (ag__.ld(child), ag__.ld(inputs)), dict(**ag__.ld(call_kwargs)), fscope)

E           File "/tmp/autograph_generated_file0tct_b70.py", line 50, in tf__call_layer  **

E               retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

E           File "/tmp/autograph_generated_filed7_sfq_3.py", line 14, in tf____call  **

E               retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 25, in tf__call  **

E               ag.for_stmt(ag__.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 22, in loop_body

E               outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

E           File "/tmp/autograph_generated_file0tct_b70.py", line 50, in tf__call_layer  **

E               retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

E           File "/tmp/autograph_generated_filed7_sfq_3.py", line 14, in tf____call  **

E               retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 25, in tf__call  **

E               ag.for_stmt(ag__.converted_call(ag__.ld(enumerate), (ag__.ld(self).layers,), None, fscope), None, loop_body, get_state, set_state, ('outputs',), {'iterate_names': '(i, layer)'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_fileuqbfrzgu.py", line 22, in loop_body

E               outputs = ag.converted_call(ag_.ld(call_layer), (ag__.ld(layer), ag__.ld(outputs)), dict(training=ag__.ld(training), **ag__.ld(kwargs)), fscope)

E           File "/tmp/autograph_generated_file0tct_b70.py", line 50, in tf__call_layer  **

E               retval = ag_.converted_call(ag__.ld(layer), ((ag__.ld(inputs),) + tuple(ag__.ld(args))), dict(**ag__.ld(filtered_kwargs)), fscope)

E           File "/tmp/autograph_generated_filet1vjqdcw.py", line 28, in tf___tabular_call  **

E               ag.if_stmt(ag__.converted_call(ag__.ld(isinstance), (ag__.ld(outputs), ag__.ld(dict)), None, fscope), if_body, else_body, get_state, set_state, ('outputs',), 1)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1341, in if_stmt

E               py_if_stmt(cond, body, orelse)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1394, in py_if_stmt

E               return body() if cond else orelse()

E           File "/tmp/autograph_generated_filet1vjqdcw.py", line 23, in if_body

E               outputs = ag.converted_call(ag.ld(self).post_call, (ag__.ld(outputs),), dict(transformations=ag__.ld(post), merge_with=ag__.ld(merge_with), aggregation=ag__.ld(aggregation)), fscope)

E           File "/tmp/autograph_generated_filesrt4gshp.py", line 116, in tf__post_call  **

E               ag.if_stmt(ag__.ld(aggregation), if_body_4, else_body_4, get_state_5, set_state_5, ('do_return', 'retval'), 2)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1341, in if_stmt

E               py_if_stmt(cond, body, orelse)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 1394, in py_if_stmt

E               return body() if cond else orelse()

E           File "/tmp/autograph_generated_filesrt4gshp.py", line 103, in if_body_4

E               retval = ag.converted_call(ag_.ld(aggregation), (ag_.ld(outputs),), None, fscope)

E           File "/tmp/autograph_generated_filed7_sfq_3.py", line 14, in tf____call  **

E               retval_ = ag__.converted_call(ag__.converted_call(ag__.ld(super), (), None, fscope).call, tuple(ag__.ld(args)), dict(**ag__.ld(kwargs)), fscope)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E               return fn(*args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E               outputs = call_fn(inputs, *args, **kwargs)

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E               raise new_e.with_traceback(e.traceback) from None

E           File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E               return fn(*args, **kwargs)

E           File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E               ag_.converted_call(ag__.ld(self).expand_non_sequential_features, (ag_.ld(inputs),), None, fscope)

E           File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E               (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E           File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E               ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E               py_for_stmt(iter, extra_test, body, None, None)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E               body(target)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E               original_body(protected_iter)

E           File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E               ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E               return py_len(s)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in py_len

E               return len(s)

E           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E               raise ValueError("Cannot take the length of shape with unknown rank.")

E

E           ValueError: Exception encountered when calling layer "model" (type Model).

E

E           in user code:

E

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 910, in call  *

E                   outputs, context = self.call_child(block, outputs, context)

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/models/base.py", line 939, in call_child  *

E                   outputs = call_layer(child, inputs, **call_kwargs)

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py", line 362, in call_layer  *

E                   return layer(inputs, *args, **filtered_kwargs)

E               File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/config/schema.py", line 58, in call  *

E                   return super().call(*args, **kwargs)

E               File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E                   return fn(*args, **kwargs)

E               File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E                   outputs = call_fn(inputs, *args, **kwargs)

E               File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E                   raise new_e.with_traceback(e.traceback) from None

E               File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E                   return fn(*args, **kwargs)

E               File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E                   ag.converted_call(ag.ld(self).expand_non_sequential_features, (ag.ld(inputs),), None, fscope)

E               File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E                   (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E               File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E                   ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E                   py_for_stmt(iter, extra_test, body, None, None)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E                   body(target)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E                   original_body(protected_iter)

E               File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E                   ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E                   return py_len(s)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in py_len

E                   return len(s)

E               File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                   raise ValueError("Cannot take the length of shape with unknown rank.")

E

E               ValueError: Exception encountered when calling layer "sequential_block_4" (type SequentialBlock).

E

E               in user code:

E

E                   File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/combinators.py", line 283, in call  *

E                       outputs = call_layer(layer, outputs, training=training, **kwargs)

E                   File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py", line 362, in call_layer  *

E                       return layer(inputs, *args, **filtered_kwargs)

E                   File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/config/schema.py", line 58, in call  *

E                       return super().call(*args, **kwargs)

E                   File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E                       return fn(*args, **kwargs)

E                   File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E                       outputs = call_fn(inputs, *args, **kwargs)

E                   File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E                       raise new_e.with_traceback(e.traceback) from None

E                   File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E                       return fn(*args, **kwargs)

E                   File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E                       ag.converted_call(ag_.ld(self).expand_non_sequential_features, (ag_.ld(inputs),), None, fscope)

E                   File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E                       (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E                   File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E                       ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E                       py_for_stmt(iter, extra_test, body, None, None)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E                       body(target)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E                       original_body(protected_iter)

E                   File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E                       ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E                       return py_len(s)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in py_len

E                       return len(s)

E                   File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                       raise ValueError("Cannot take the length of shape with unknown rank.")

E

E                   ValueError: Exception encountered when calling layer "sequential_block_2" (type SequentialBlock).

E

E                   in user code:

E

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/combinators.py", line 283, in call  *

E                           outputs = call_layer(layer, outputs, training=training, **kwargs)

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/utils/tf_utils.py", line 362, in call_layer  *

E                           return layer(inputs, *args, **filtered_kwargs)

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 486, in tabular_call  *

E                           outputs = self.post_call(

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 269, in post_call  *

E                           return aggregation(outputs)

E                       File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/config/schema.py", line 58, in call  *

E                           return super().call(*args, **kwargs)

E                       File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 60, in error_handler  **

E                           return fn(*args, **kwargs)

E                       File "/usr/local/lib/python3.8/dist-packages/keras/engine/base_layer.py", line 1014, in call

E                           outputs = call_fn(inputs, *args, **kwargs)

E                       File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 146, in error_handler

E                           raise new_e.with_traceback(e.traceback) from None

E                       File "/usr/local/lib/python3.8/dist-packages/keras/utils/traceback_utils.py", line 92, in error_handler

E                           return fn(*args, **kwargs)

E                       File "/tmp/autograph_generated_filehbd2tjn.py", line 10, in tf__call  **

E                           ag.converted_call(ag.ld(self).expand_non_sequential_features, (ag.ld(inputs),), None, fscope)

E                       File "/tmp/autograph_generated_file8c6u5c65.py", line 11, in tf___expand_non_sequential_features  **

E                           (seq_features_shapes, sequence_length) = ag.converted_call(ag__.ld(self).get_seq_features_shapes, (ag_.ld(inputs_sizes),), None, fscope)

E                       File "/tmp/autograph_generated_file5i3t4fm.py", line 35, in tf___get_seq_features_shapes  **

E                           ag_.for_stmt(ag__.converted_call(ag__.ld(inputs_sizes).items, (), None, fscope), None, loop_body, get_state_1, set_state_1, (), {'iterate_names': '(fname, fshape)'})

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 449, in for_stmt

E                           py_for_stmt(iter, extra_test, body, None, None)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 498, in py_for_stmt

E                           body(target)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/control_flow.py", line 464, in protected_body

E                           original_body(protected_iter)

E                       File "/tmp/autograph_generated_file5i3t4fm.py", line 32, in loop_body

E                           ag.if_stmt((ag__.converted_call(ag__.ld(len), (ag__.ld(fshape),), None, fscope) >= 3), if_body, else_body, get_state, set_state, ('seq_features_shapes[fname]',), 1)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len_  **

E                           return _py_len(s)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in _py_len

E                           return len(s)

E                       File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                           raise ValueError("Cannot take the length of shape with unknown rank.")

E

E                       ValueError: Exception encountered when calling layer "concat_features_1" (type ConcatFeatures).

E

E                       in user code:

E

E                           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/aggregation.py", line 56, in call  *

E                               self._expand_non_sequential_features(inputs)

E                           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 31, in _expand_non_sequential_features  *

E                               seq_features_shapes, sequence_length = self._get_seq_features_shapes(inputs_sizes)

E                           File "/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py", line 45, in get_seq_features_shapes  *

E                               if len(fshape) >= 3:

E                           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 242, in len  **

E                               return _py_len(s)

E                           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/operators/py_builtins.py", line 307, in _py_len

E                               return len(s)

E                           File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py", line 868, in len

E                               raise ValueError("Cannot take the length of shape with unknown rank.")

E

E                           ValueError: Cannot take the length of shape with unknown rank.

E

E

E                       Call arguments received by layer "concat_features_1" (type ConcatFeatures):

E                         • inputs={'continuous': 'tf.Tensor(shape=(None, 128), dtype=float32)', 'session_id': 'tf.Tensor(shape=, dtype=float32)', 'item_id': 'tf.Tensor(shape=, dtype=float32)', 'item_category': 'tf.Tensor(shape=, dtype=float32)', 'item_genres': 'tf.Tensor(shape=(None, 8), dtype=float32)', 'user_id': 'tf.Tensor(shape=, dtype=float32)', 'country': 'tf.Tensor(shape=, dtype=float32)', 'user_genres': 'tf.Tensor(shape=(None, 8), dtype=float32)'}

E                         • kwargs={'training': 'True'}

E

E

E                   Call arguments received by layer "sequential_block_2" (type SequentialBlock):

E                     • inputs={'item_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'user_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}

E                     • training=True

E                     • kwargs={'features': {'item_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths/control_dependency:0", shape=(None,), dtype=int32))', 'user_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice_2:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths_1/control_dependency:0", shape=(None,), dtype=int32))', 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}, 'testing': 'False', 'mask': ('None',), 'targets': {'click': 'tf.Tensor(shape=(None, None), dtype=float64)', 'like': 'tf.Tensor(shape=(None, None), dtype=float64)', 'play_percentage': 'tf.Tensor(shape=(None, None), dtype=float64)'}}

E

E

E               Call arguments received by layer "sequential_block_4" (type SequentialBlock):

E                 • inputs={'item_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'user_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}

E                 • training=True

E                 • kwargs={'features': {'item_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths/control_dependency:0", shape=(None,), dtype=int32))', 'user_genres': 'tf.RaggedTensor(values=Tensor("model/as_ragged_features/strided_slice_2:0", shape=(None,), dtype=int64), row_splits=Tensor("model/as_ragged_features/RaggedFromRowLengths_1/control_dependency:0", shape=(None,), dtype=int32))', 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}, 'testing': 'False', 'mask': ('None',), 'targets': {'click': 'tf.Tensor(shape=(None, None), dtype=float64)', 'like': 'tf.Tensor(shape=(None, None), dtype=float64)', 'play_percentage': 'tf.Tensor(shape=(None, None), dtype=float64)'}}

E

E

E           Call arguments received by layer "model" (type Model):

E             • inputs={'item_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'user_genres': ('tf.Tensor(shape=(None, None), dtype=int64)', 'tf.Tensor(shape=(None, None), dtype=int32)'), 'session_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_category': 'tf.Tensor(shape=(None, None), dtype=int64)', 'user_id': 'tf.Tensor(shape=(None, None), dtype=int64)', 'country': 'tf.Tensor(shape=(None, None), dtype=int64)', 'item_recency': 'tf.Tensor(shape=(None, None), dtype=float32)', 'user_age': 'tf.Tensor(shape=(None, None), dtype=float32)', 'position': 'tf.Tensor(shape=(None, None), dtype=float32)'}

E             • targets={'click': 'tf.Tensor(shape=(None, None), dtype=float64)', 'like': 'tf.Tensor(shape=(None, None), dtype=float64)', 'play_percentage': 'tf.Tensor(shape=(None, None), dtype=float64)'}

E             • training=True

E             • testing=False

E             • output_context=False
/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/tensor_shape.py:868: ValueError

=============================== warnings summary ===============================

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

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

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_fileiubjh73i.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

===== 5 failed, 560 passed, 11 skipped, 101 warnings in 782.55s (0:13:02) ======

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/jenkins11301010499332442967.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit e3a06baecacb79082996af59230348db5ceb17b9, no merge conflicts.
Running as SYSTEM
Setting status of e3a06baecacb79082996af59230348db5ceb17b9 to PENDING with url https://10.20.13.93:8080/job/merlin_models/843/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse e3a06baecacb79082996af59230348db5ceb17b9^{commit} # timeout=10
Checking out Revision e3a06baecacb79082996af59230348db5ceb17b9 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f e3a06baecacb79082996af59230348db5ceb17b9 # timeout=10
Commit message: "add more test"
 > git rev-list --no-walk 71a064b28fd8fb563372ffd6f2d558cb88fd21df # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins1725060374784401780.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.10.0)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.15.3)
Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 578 items / 2 skipped
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  1%]

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

tests/unit/datasets/test_entertainment.py ....sss.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

tests/unit/tf/test_dataset.py ................                           [  8%]

tests/unit/tf/test_public_api.py .                                       [  8%]

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

tests/unit/tf/blocks/test_dlrm.py ........                               [ 11%]

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 17%]

tests/unit/tf/blocks/test_multi_optimizers.py s....................      [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 21%]

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

tests/unit/tf/core/test_aggregation.py .........                         [ 24%]

tests/unit/tf/core/test_base.py ..                                       [ 25%]

tests/unit/tf/core/test_combinators.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/core/test_transformations.py s............................ [ 34%]

...                                                                      [ 35%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 35%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 37%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 38%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 38%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 38%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 38%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 38%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 39%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 39%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 39%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 40%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 44%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 47%]

tests/unit/tf/layers/test_queue.py ..............                        [ 50%]

tests/unit/tf/losses/test_losses.py .......................              [ 54%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 55%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 58%]

tests/unit/tf/models/test_base.py ...........                            [ 60%]

tests/unit/tf/models/test_benchmark.py ..                                [ 60%]

tests/unit/tf/models/test_ranking.py ................                    [ 63%]

tests/unit/tf/models/test_retrieval.py ...............................   [ 68%]

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

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

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 72%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 73%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 74%]

tests/unit/tf/predictions/test_base.py .....                             [ 74%]

tests/unit/tf/predictions/test_classification.py .......                 [ 76%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 77%]

tests/unit/tf/predictions/test_regression.py ..                          [ 77%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 78%]

tests/unit/tf/utils/test_batch.py ....                                   [ 79%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 79%]

tests/unit/torch/test_dataset.py .........                               [ 81%]

tests/unit/torch/test_public_api.py .                                    [ 81%]

tests/unit/torch/block/test_base.py ....                                 [ 82%]

tests/unit/torch/block/test_mlp.py .                                     [ 82%]

tests/unit/torch/features/test_continuous.py ..                          [ 82%]

tests/unit/torch/features/test_embedding.py ..............               [ 84%]

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

tests/unit/torch/model/test_head.py ............                         [ 87%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 89%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 89%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_fileaps1x6ha.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 569 passed, 11 skipped, 111 warnings in 816.82s (0:13:36) ===========

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/jenkins9243190670825037299.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit 64c2eeb5b45ec2605968eeb8698102977afb2ccb, no merge conflicts.
Running as SYSTEM
Setting status of 64c2eeb5b45ec2605968eeb8698102977afb2ccb to PENDING with url https://10.20.13.93:8080/job/merlin_models/850/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse 64c2eeb5b45ec2605968eeb8698102977afb2ccb^{commit} # timeout=10
Checking out Revision 64c2eeb5b45ec2605968eeb8698102977afb2ccb (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 64c2eeb5b45ec2605968eeb8698102977afb2ccb # timeout=10
Commit message: "update docstrings"
 > git rev-list --no-walk b7dcbddb382bd7d7363ef6b94b2fcdcc411b62cb # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins5505567526724406498.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
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============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 578 items / 2 skipped
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  1%]

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

tests/unit/datasets/test_entertainment.py ....sss.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

tests/unit/tf/test_dataset.py ................                           [  8%]

tests/unit/tf/test_public_api.py .                                       [  8%]

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

tests/unit/tf/blocks/test_dlrm.py ........                               [ 11%]

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 17%]

tests/unit/tf/blocks/test_multi_optimizers.py s....................      [ 21%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 21%]

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

tests/unit/tf/core/test_aggregation.py .........                         [ 24%]

tests/unit/tf/core/test_base.py ..                                       [ 25%]

tests/unit/tf/core/test_combinators.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/core/test_transformations.py s............................ [ 34%]

...                                                                      [ 35%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 35%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 37%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 38%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 38%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 38%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 38%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 38%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 39%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 39%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 39%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 40%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 44%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 47%]

tests/unit/tf/layers/test_queue.py ..............                        [ 50%]

tests/unit/tf/losses/test_losses.py .......................              [ 54%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 55%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 58%]

tests/unit/tf/models/test_base.py ...........                            [ 60%]

tests/unit/tf/models/test_benchmark.py ..                                [ 60%]

tests/unit/tf/models/test_ranking.py ................                    [ 63%]

tests/unit/tf/models/test_retrieval.py ...............................   [ 68%]

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

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

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 72%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 73%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 74%]

tests/unit/tf/predictions/test_base.py .....                             [ 74%]

tests/unit/tf/predictions/test_classification.py .......                 [ 76%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 77%]

tests/unit/tf/predictions/test_regression.py ..                          [ 77%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 78%]

tests/unit/tf/utils/test_batch.py ....                                   [ 79%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 79%]

tests/unit/torch/test_dataset.py .........                               [ 81%]

tests/unit/torch/test_public_api.py .                                    [ 81%]

tests/unit/torch/block/test_base.py ....                                 [ 82%]

tests/unit/torch/block/test_mlp.py .                                     [ 82%]

tests/unit/torch/features/test_continuous.py ..                          [ 82%]

tests/unit/torch/features/test_embedding.py ..............               [ 84%]

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

tests/unit/torch/model/test_head.py ............                         [ 87%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 89%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 89%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_file6slpixu8.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 569 passed, 11 skipped, 111 warnings in 814.99s (0:13:34) ===========

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/jenkins82921715684040139.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed, no merge conflicts.
Running as SYSTEM
Setting status of ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed to PENDING with url https://10.20.13.93:8080/job/merlin_models/851/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed^{commit} # timeout=10
Checking out Revision ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed # timeout=10
Commit message: "Merge branch 'main' into tf/categorical-prediction-2"
 > git rev-list --no-walk 64c2eeb5b45ec2605968eeb8698102977afb2ccb # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins14555445815761240689.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-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

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

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 837.00s (0:13:57) ===========

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/jenkins5492334808704023329.sh

[sararb]

rerun tests

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed, no merge conflicts.
Running as SYSTEM
Setting status of ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed to PENDING with url https://10.20.13.93:8080/job/merlin_models/852/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed^{commit} # timeout=10
Checking out Revision ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed # timeout=10
Commit message: "Merge branch 'main' into tf/categorical-prediction-2"
 > git rev-list --no-walk ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins6475670367860342318.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
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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) (21.4.0)
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) (5.8.0)
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)
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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) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filefyknbws3.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 834.41s (0:13:54) ===========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_models] $ /bin/bash /tmp/jenkins12306454863319543234.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed, no merge conflicts.
Running as SYSTEM
Setting status of ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed to PENDING with url https://10.20.13.93:8080/job/merlin_models/853/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed^{commit} # timeout=10
Checking out Revision ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed # timeout=10
Commit message: "Merge branch 'main' into tf/categorical-prediction-2"
 > git rev-list --no-walk ccc8cebc32c192988cbf5846ae9fe1a8dc1f56ed # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3406547211847404296.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.10.0)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.15.3)
Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filexmur2di0.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 832.80s (0:13:52) ===========

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/jenkins6439935715916448561.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/855/console and message: 'Pending'
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Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
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Commit message: "small commit to re-run tests"
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[merlin_models] $ /bin/bash /tmp/jenkins10249374160865177995.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
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Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_file8opf2fef.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 920.73s (0:15:20) ===========

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/jenkins13960471435324813383.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/856/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11109984657815565845.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
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Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filepvk660zo.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 933.86s (0:15:33) ===========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_models] $ /bin/bash /tmp/jenkins14321276230699397204.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/857/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins15677529379600562254.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: 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: 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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filezwcs1nsl.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 841.01s (0:14:01) ===========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_models] $ /bin/bash /tmp/jenkins16056746947702995954.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/858/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins1980222087167111110.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.10.0)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.15.3)
Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_file0zyjg4lu.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 837.88s (0:13:57) ===========

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/jenkins14987328476595370330.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/859/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins15260164571773930103.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.10.0)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.15.3)
Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filersx9t4wz.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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/distributed/node.py:180: UserWarning: Port 8787 is already in use.

Perhaps you already have a cluster running?

Hosting the HTTP server on port 44145 instead

warnings.warn(
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 112 warnings in 843.69s (0:14:03) ===========

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/jenkins4609653061132393115.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/862/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins2391974775671916305.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.10.0)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.15.3)
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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) (5.8.0)
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: 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)
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Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filek31pi9py.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 864.87s (0:14:24) ===========

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/jenkins1721382703621921023.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/864/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins12243748769918631413.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-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_file2musrzhy.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 834.15s (0:13:54) ===========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_models] $ /bin/bash /tmp/jenkins5114382901522279544.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/866/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins9139359239801695113.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
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Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
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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) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_file6hi7euv0.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 838.28s (0:13:58) ===========

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/jenkins8935264223530832345.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/868/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins11199934283558958083.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.10.0)
Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.15.3)
Requirement already satisfied: jupyter-client>=6.1.5 in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (7.3.4)
Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.8/dist-packages (from nbclient>=0.4.0->testbook) (1.5.5)
Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (21.4.0)
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) (5.8.0)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
Requirement already satisfied: entrypoints in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (0.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (2.8.2)
Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (23.2.0)
Requirement already satisfied: tornado>=6.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (6.1)
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) (3.8.0)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

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

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 842.21s (0:14:02) ===========

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/jenkins18117869706371100216.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/869/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins14125514192656839488.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
Requirement already satisfied: nbformat>=5.0.4 in /usr/local/lib/python3.8/dist-packages (from testbook) (5.4.0)
Requirement already satisfied: nbclient>=0.4.0 in /usr/local/lib/python3.8/dist-packages (from testbook) (0.6.5)
Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.6.1)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filesi6cc3n2.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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/distributed/node.py:180: UserWarning: Port 8787 is already in use.

Perhaps you already have a cluster running?

Hosting the HTTP server on port 40701 instead

warnings.warn(
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 112 warnings in 927.94s (0:15:27) ===========

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/jenkins2137350412449514388.sh

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/870/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins18269872357605996627.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: testbook in /usr/local/lib/python3.8/dist-packages (0.4.2)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_filet1kl_l_x.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 1024.15s (0:17:04) ==========

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/jenkins10669841815373096207.sh

[sararb]

close this PR to create a new one because Jenkins tests are re-running indefinitely

[nvidia-merlin-bot]

Click to view CI Results

GitHub pull request #625 of commit acc253f95bfba633687da51c6567dd8f153a4b13, no merge conflicts.
Running as SYSTEM
Setting status of acc253f95bfba633687da51c6567dd8f153a4b13 to PENDING with url https://10.20.13.93:8080/job/merlin_models/873/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/625/*:refs/remotes/origin/pr/625/* # timeout=10
 > git rev-parse acc253f95bfba633687da51c6567dd8f153a4b13^{commit} # timeout=10
Checking out Revision acc253f95bfba633687da51c6567dd8f153a4b13 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f acc253f95bfba633687da51c6567dd8f153a4b13 # timeout=10
Commit message: "small commit to re-run tests"
 > git rev-list --no-walk d85b48424cb36e7de3dfb425add3182701b34721 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins18282171802104054261.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: 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: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 613 items / 2 skipped
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.                       [  3%]

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

tests/unit/datasets/test_synthetic.py .....                              [  4%]

tests/unit/tf/test_core.py ......                                        [  5%]

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

tests/unit/tf/blocks/test_interactions.py .                              [ 11%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 16%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 21%]

.....................                                                    [ 25%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 25%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 27%]

tests/unit/tf/core/test_aggregation.py .........                         [ 28%]

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

tests/unit/tf/core/test_combinators.py s...................              [ 32%]

tests/unit/tf/core/test_index.py ...                                     [ 32%]

tests/unit/tf/core/test_prediction.py ..                                 [ 33%]

tests/unit/tf/core/test_tabular.py ....                                  [ 33%]

tests/unit/tf/core/test_transformations.py s............................ [ 38%]

...                                                                      [ 39%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 42%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 42%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 42%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ..........................        [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py ..................            [ 60%]

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

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

tests/unit/tf/models/test_ranking.py ................                    [ 65%]

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

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 73%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 74%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 74%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 75%]

tests/unit/tf/predictions/test_base.py .....                             [ 76%]

tests/unit/tf/predictions/test_classification.py .......                 [ 77%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 78%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 79%]

tests/unit/tf/utils/test_batch.py ....                                   [ 80%]

tests/unit/tf/utils/test_tf_utils.py ..                                  [ 80%]

tests/unit/torch/test_dataset.py .........                               [ 82%]

tests/unit/torch/test_public_api.py .                                    [ 82%]

tests/unit/torch/block/test_base.py ....                                 [ 83%]

tests/unit/torch/block/test_mlp.py .                                     [ 83%]

tests/unit/torch/features/test_continuous.py ..                          [ 83%]

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

tests/unit/torch/features/test_tabular.py ....                           [ 86%]

tests/unit/torch/model/test_head.py ............                         [ 88%]

tests/unit/torch/model/test_model.py ..                                  [ 88%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 90%]

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

tests/unit/utils/test_schema_utils.py ................................   [ 96%]

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

../../../../../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_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/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:770: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 53 warnings

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

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

/tmp/autograph_generated_fileodt0sydh.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

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

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

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

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

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

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

return dispatch_target(*args, **kwargs)
tests/unit/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:264: 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}.")
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

SKIPPED [1] tests/unit/implicit/init.py:18: could not import 'implicit': No module named 'implicit'

SKIPPED [1] tests/unit/lightfm/init.py:18: could not import 'lightfm': No module named 'lightfm'

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

========== 603 passed, 12 skipped, 111 warnings in 926.85s (0:15:26) ===========

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/jenkins12711742312266879509.sh