XGBoost - Use DaskDMatrix for evals data to ensure metrics in logs match result of evaluate by oliverholworthy · Pull Request #682 · NVIDIA-Merlin/models

oliverholworthy · 2022-08-25T16:48:08Z

Goals ⚽

Ensure metrics in logs match the result of the .evaluate method.

Example in this gist of the metrics difference:
https://gist.github.com/oliverholworthy/db8dfca6e08d29fa6481f5f9d66c8049

Issue reported by @rnyak

Implementation Details 🚧

When using the DaskDeviceQuantileDMatrix in the evals passed to the train function, there is a difference between the metrics reported in the logs printed to the screen and the metric you will get from the call to model.evaluate.

We can resolve this by always using the DaskDMatrix for evals data (Thanks to @radekosmulski for this suggestion). The downside of this might be if you have a sufficiently large dataset you want to pass to evals that requires the efficiency of the DeviceQuantileDMatrix when running on the GPU.

Testing Details 🔍

Added a test to ensure that dmatrix passed to evals is not the device quantile version.

nvidia-merlin-bot · 2022-08-25T17:02:54Z

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GitHub pull request #682 of commit 7fa51a66c16e75cb3164580f75663d1b8a60893a, no merge conflicts.
Running as SYSTEM
Setting status of 7fa51a66c16e75cb3164580f75663d1b8a60893a to PENDING with url https://10.20.13.93:8080/job/merlin_models/1043/console and message: 'Pending'
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 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/models/ # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
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 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/models/ +refs/pull/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse 7fa51a66c16e75cb3164580f75663d1b8a60893a^{commit} # timeout=10
Checking out Revision 7fa51a66c16e75cb3164580f75663d1b8a60893a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 7fa51a66c16e75cb3164580f75663d1b8a60893a # timeout=10
Commit message: "Always use DaskDMatrix for evals data (except when same as dtrain)"
 > git rev-list --no-walk a631fdf11dbaedeeb8d190a1fd9cc86a2e0dafdd # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins373859628955932225.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 658 items
tests/unit/config/test_schema.py ....                                    [  0%]

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

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

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

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

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

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

tests/unit/lightfm/test_lightfm.py .                                     [  4%]

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

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

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

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

tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]

.....................                                                    [ 24%]

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

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

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 26%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 26%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 26%]

tests/unit/tf/core/test_aggregation.py .........                         [ 27%]

tests/unit/tf/core/test_base.py ..                                       [ 28%]

tests/unit/tf/core/test_combinators.py s...................              [ 31%]

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

tests/unit/tf/core/test_prediction.py ..                                 [ 32%]

tests/unit/tf/core/test_tabular.py ....                                  [ 32%]

tests/unit/tf/core/test_transformations.py s............................ [ 37%]

...                                                                      [ 37%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 37%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 39%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 39%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 40%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 40%]

tests/unit/tf/examples/test_03_exploring_different_models.py F           [ 40%]

tests/unit/tf/examples/test_04_export_ranking_models.py F                [ 40%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 40%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 40%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 41%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 41%]

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

tests/unit/tf/inputs/test_embedding.py ................................. [ 46%]

..                                                                       [ 47%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 50%]

tests/unit/tf/layers/test_queue.py ..............                        [ 52%]

tests/unit/tf/losses/test_losses.py .......................              [ 55%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 56%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 59%]

tests/unit/tf/models/test_base.py s.................                     [ 62%]

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

tests/unit/tf/models/test_ranking.py ..........................          [ 66%]

tests/unit/tf/models/test_retrieval.py ................................  [ 71%]

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

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

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 75%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 75%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 76%]

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

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

tests/unit/tf/predictions/test_dot_product.py ........                   [ 79%]

tests/unit/tf/predictions/test_regression.py ..                          [ 79%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 80%]

tests/unit/tf/utils/test_batch.py ....                                   [ 81%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 81%]

tests/unit/torch/test_dataset.py .........                               [ 83%]

tests/unit/torch/test_public_api.py .                                    [ 83%]

tests/unit/torch/block/test_base.py ....                                 [ 84%]

tests/unit/torch/block/test_mlp.py .                                     [ 84%]

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

tests/unit/torch/features/test_embedding.py ..............               [ 86%]

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

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

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

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

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

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

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

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

__________________ test_example_03_exploring_different_models __________________
self = <testbook.client.TestbookNotebookClient object at 0x7f67ab3d2cd0>

cell = {'cell_type': 'markdown', 'id': '0c63e2eb', 'metadata': {'pycharm': {'name': '#%% md\n'}}, 'source': 'NVTabular export... other words, Merlin Models relies on the schema object to automatically build all necessary input and output layers.'}

kwargs = {}, cell_indexes = [0, 1, 2, 3, 4, 5, ...]

executed_cells = [{'cell_type': 'code', 'execution_count': 2, 'id': '5f49a48e', 'metadata': {'pycharm': {'name': '#%%\n'}, 'execution':...d': '2dd02301', 'metadata': {'pycharm': {'name': '#%% md\n'}}, 'source': '## Feature Engineering with NVTabular'}, ...]

idx = 14
def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:


          cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)


/usr/local/lib/python3.8/dist-packages/testbook/client.py:133:

args = (<testbook.client.TestbookNotebookClient object at 0x7f67ab3d2cd0>, {'cell_type': 'code', 'execution_count': 7, 'id': ...ath.join(output_path, "valid", "*.parquet"), part_size="500MB")\n\n# define schema object\nschema = train.schema'}, 14)

kwargs = {}
def wrapped(*args, **kwargs):


  return just_run(coro(*args, **kwargs))


/usr/local/lib/python3.8/dist-packages/nbclient/util.py:85:

coro = <coroutine object NotebookClient.async_execute_cell at 0x7f677c473cc0>
def just_run(coro: Awaitable) -> Any:
    """Make the coroutine run, even if there is an event loop running (using nest_asyncio)"""
    try:
        loop = asyncio.get_running_loop()
    except RuntimeError:
        loop = None
    if loop is None:
        had_running_loop = False
        loop = asyncio.new_event_loop()
        asyncio.set_event_loop(loop)
    else:
        had_running_loop = True
    if had_running_loop:
        # if there is a running loop, we patch using nest_asyncio
        # to have reentrant event loops
        check_ipython()
        import nest_asyncio

        nest_asyncio.apply()
        check_patch_tornado()


  return loop.run_until_complete(coro)


/usr/local/lib/python3.8/dist-packages/nbclient/util.py:60:

self = <_UnixSelectorEventLoop running=False closed=False debug=False>

future = <Task finished name='Task-259' coro=<NotebookClient.async_execute_cell() done, defined at /usr/local/lib/python3.8/dis...rn\x1b[39;00m dataset\n\n\x1b[0;31mIndexError\x1b[0m: list index out of range\nIndexError: list index out of range\n')>
def run_until_complete(self, future):
    """Run until the Future is done.

    If the argument is a coroutine, it is wrapped in a Task.

    WARNING: It would be disastrous to call run_until_complete()
    with the same coroutine twice -- it would wrap it in two
    different Tasks and that can't be good.

    Return the Future's result, or raise its exception.
    """
    self._check_closed()
    self._check_running()

    new_task = not futures.isfuture(future)
    future = tasks.ensure_future(future, loop=self)
    if new_task:
        # An exception is raised if the future didn't complete, so there
        # is no need to log the "destroy pending task" message
        future._log_destroy_pending = False

    future.add_done_callback(_run_until_complete_cb)
    try:
        self.run_forever()
    except:
        if new_task and future.done() and not future.cancelled():
            # The coroutine raised a BaseException. Consume the exception
            # to not log a warning, the caller doesn't have access to the
            # local task.
            future.exception()
        raise
    finally:
        future.remove_done_callback(_run_until_complete_cb)
    if not future.done():
        raise RuntimeError('Event loop stopped before Future completed.')


  return future.result()


/usr/lib/python3.8/asyncio/base_events.py:616:

self = <testbook.client.TestbookNotebookClient object at 0x7f67ab3d2cd0>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'c213255c', 'metadata': {'pycharm': {'name': '#%%\n'}, 'execution': ...(os.path.join(output_path, "valid", "*.parquet"), part_size="500MB")\n\n# define schema object\nschema = train.schema'}

cell_index = 14, execution_count = None, store_history = True
async def async_execute_cell(
    self,
    cell: NotebookNode,
    cell_index: int,
    execution_count: t.Optional[int] = None,
    store_history: bool = True,
) -> NotebookNode:
    """
    Executes a single code cell.

    To execute all cells see :meth:`execute`.

    Parameters
    ----------
    cell : nbformat.NotebookNode
        The cell which is currently being processed.
    cell_index : int
        The position of the cell within the notebook object.
    execution_count : int
        The execution count to be assigned to the cell (default: Use kernel response)
    store_history : bool
        Determines if history should be stored in the kernel (default: False).
        Specific to ipython kernels, which can store command histories.

    Returns
    -------
    output : dict
        The execution output payload (or None for no output).

    Raises
    ------
    CellExecutionError
        If execution failed and should raise an exception, this will be raised
        with defaults about the failure.

    Returns
    -------
    cell : NotebookNode
        The cell which was just processed.
    """
    assert self.kc is not None

    await run_hook(self.on_cell_start, cell=cell, cell_index=cell_index)

    if cell.cell_type != 'code' or not cell.source.strip():
        self.log.debug("Skipping non-executing cell %s", cell_index)
        return cell

    if self.skip_cells_with_tag in cell.metadata.get("tags", []):
        self.log.debug("Skipping tagged cell %s", cell_index)
        return cell

    if self.record_timing:  # clear execution metadata prior to execution
        cell['metadata']['execution'] = {}

    self.log.debug("Executing cell:\n%s", cell.source)

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors or "raises-exception" in cell.metadata.get("tags", [])
    )

    await run_hook(self.on_cell_execute, cell=cell, cell_index=cell_index)
    parent_msg_id = await ensure_async(
        self.kc.execute(
            cell.source, store_history=store_history, stop_on_error=not cell_allows_errors
        )
    )
    await run_hook(self.on_cell_complete, cell=cell, cell_index=cell_index)
    # We launched a code cell to execute
    self.code_cells_executed += 1
    exec_timeout = self._get_timeout(cell)

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()
        raise DeadKernelError("Kernel died")
    except Exception as e:
        # Best effort to cancel request if it hasn't been resolved
        try:
            # Check if the task_poll_output is doing the raising for us
            if not isinstance(e, CellControlSignal):
                task_poll_output_msg.cancel()
        finally:
            raise

    if execution_count:
        cell['execution_count'] = execution_count
    await run_hook(
        self.on_cell_executed, cell=cell, cell_index=cell_index, execute_reply=exec_reply
    )


  await self._check_raise_for_error(cell, cell_index, exec_reply)


/usr/local/lib/python3.8/dist-packages/nbclient/client.py:1025:

self = <testbook.client.TestbookNotebookClient object at 0x7f67ab3d2cd0>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'c213255c', 'metadata': {'pycharm': {'name': '#%%\n'}, 'execution': ...(os.path.join(output_path, "valid", "*.parquet"), part_size="500MB")\n\n# define schema object\nschema = train.schema'}

cell_index = 14

exec_reply = {'buffers': [], 'content': {'ename': 'IndexError', 'engine_info': {'engine_id': -1, 'engine_uuid': '08d024d1-263c-40ad...e, 'engine': '08d024d1-263c-40ad-9b33-e0f66c27f546', 'started': '2022-08-25T16:52:18.882331Z', 'status': 'error'}, ...}
async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(
        self.on_cell_error, cell=cell, cell_index=cell_index, execute_reply=exec_reply
    )
    if not cell_allows_errors:


      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)


E E           ------------------
 E E E
 E           # define schema object
 E           schema = train.schema
 E           ------------------
 E
 E E E E E           �[1;32m E           �[1;32m E
 E E           �[1;32m E           �[1;32m E E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E
 E E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E           �[1;32m E
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 E E           �[1;32m E           �[1;32m E           �[1;32m E E           �[1;32m E
 E E

nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
 train = Dataset(os.path.join(output_path, "train", ".parquet"), part_size="500MB")
 valid = Dataset(os.path.join(output_path, "valid", ".parquet"), part_size="500MB")
 �[0;31m---------------------------------------------------------------------------�[0m
 �[0;31mIndexError�[0m                                Traceback (most recent call last)
 Input �[0;32mIn [7]�[0m, in �[0;36m<cell line: 1>�[0;34m()�[0m
 �[0;32m----> 1�[0m train �[38;5;241m=�[39m �[43mDataset�[49m�[43m(�[49m�[43mos�[49m�[38;5;241;43m.�[39;49m�[43mpath�[49m�[38;5;241;43m.�[39;49m�[43mjoin�[49m�[43m(�[49m�[43moutput_path�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mtrain�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m*.parquet�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[43mpart_size�[49m�[38;5;241;43m=�[39;49m�[38;5;124;43m"�[39;49m�[38;5;124;43m500MB�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m
 2�[0m valid �[38;5;241m=�[39m Dataset(os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(output_path, �[38;5;124m"�[39m�[38;5;124mvalid�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124m*.parquet�[39m�[38;5;124m"�[39m), part_size�[38;5;241m=�[39m�[38;5;124m"�[39m�[38;5;124m500MB�[39m�[38;5;124m"�[39m)
 4�[0m �[38;5;66;03m# define schema object�[39;00m
 File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/dataset.py:303�[0m, in �[0;36mDataset.__init__�[0;34m(self, path_or_source, engine, npartitions, part_size, part_mem_fraction, storage_options, dtypes, client, cpu, base_dataset, schema, **kwargs)�[0m
 301�[0m �[38;5;28;01mif�[39;00m �[38;5;28misinstance�[39m(engine, �[38;5;28mstr�[39m):
 302�[0m     �[38;5;28;01mif�[39;00m engine �[38;5;241m==�[39m �[38;5;124m"�[39m�[38;5;124mparquet�[39m�[38;5;124m"�[39m:
 �[0;32m--> 303�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mengine �[38;5;241m=�[39m �[43mParquetDatasetEngine�[49m�[43m(�[49m
 304�[0m �[43m            �[49m�[43mpaths�[49m�[43m,�[49m�[43m �[49m�[43mpart_size�[49m�[43m,�[49m�[43m �[49m�[43mstorage_options�[49m�[38;5;241;43m=�[39;49m�[43mstorage_options�[49m�[43m,�[49m�[43m �[49m�[43mcpu�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mcpu�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m
 305�[0m �[43m        �[49m�[43m)�[49m
 306�[0m     �[38;5;28;01melif�[39;00m engine �[38;5;241m==�[39m �[38;5;124m"�[39m�[38;5;124mcsv�[39m�[38;5;124m"�[39m:
 307�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mengine �[38;5;241m=�[39m CSVDatasetEngine(
 308�[0m             paths, part_size, storage_options�[38;5;241m=�[39mstorage_options, cpu�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mcpu, �[38;5;241m�[39m�[38;5;241m�[39mkwargs
 309�[0m         )
 File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:313�[0m, in �[0;36mParquetDatasetEngine.__init__�[0;34m(self, paths, part_size, storage_options, row_groups_per_part, legacy, batch_size, cpu, **kwargs)�[0m
 308�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mdataset_kwargs �[38;5;241m=�[39m �[38;5;28mself�[39m�[38;5;241m.�[39mread_parquet_kwargs�[38;5;241m.�[39mpop(�[38;5;124m"�[39m�[38;5;124mdataset�[39m�[38;5;124m"�[39m, {})
 310�[0m �[38;5;28;01mif�[39;00m row_groups_per_part �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m:
 311�[0m     �[38;5;28mself�[39m�[38;5;241m.�[39m_real_meta, rg_byte_size_0 �[38;5;241m=�[39m run_on_worker(
 312�[0m         _sample_row_group,
 �[0;32m--> 313�[0m         �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_path0�[49m,
 314�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mfs,
 315�[0m         cpu�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mcpu,
 316�[0m         memory_usage�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m,
 317�[0m         �[38;5;241m�[39m�[38;5;241m�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mread_parquet_kwargs,
 318�[0m     )
 319�[0m     row_groups_per_part �[38;5;241m=�[39m �[38;5;28mself�[39m�[38;5;241m.�[39mpart_size �[38;5;241m/�[39m rg_byte_size_0
 320�[0m     �[38;5;28;01mif�[39;00m row_groups_per_part �[38;5;241m<�[39m �[38;5;241m1.0�[39m:
 File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:338�[0m, in �[0;36mParquetDatasetEngine._path0�[0;34m(self)�[0m
 335�[0m �[38;5;129m@property�[39m  �[38;5;66;03m# type: ignore�[39;00m
 336�[0m �[38;5;129m@functools�[39m�[38;5;241m.�[39mlru_cache(�[38;5;241m1�[39m)
 337�[0m �[38;5;28;01mdef�[39;00m �[38;5;21m_path0�[39m(�[38;5;28mself�[39m):
 �[0;32m--> 338�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mnext�[39m(�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_dataset�[49m�[38;5;241m.�[39mget_fragments())�[38;5;241m.�[39mpath
 File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:368�[0m, in �[0;36mParquetDatasetEngine._dataset�[0;34m(self)�[0m
 365�[0m     dataset �[38;5;241m=�[39m pa_ds�[38;5;241m.�[39mdataset(paths, filesystem�[38;5;241m=�[39mfs)
 366�[0m �[38;5;28;01melse�[39;00m:
 367�[0m     �[38;5;66;03m# This is a directory or a single file�[39;00m
 �[0;32m--> 368�[0m     dataset �[38;5;241m=�[39m pa_ds�[38;5;241m.�[39mdataset(�[43mpaths�[49m�[43m[�[49m�[38;5;241;43m0�[39;49m�[43m]�[49m, filesystem�[38;5;241m=�[39mfs)
 369�[0m �[38;5;28;01mreturn�[39;00m dataset
 �[0;31mIndexError�[0m: list index out of range
 IndexError: list index out of range
/usr/local/lib/python3.8/dist-packages/nbclient/client.py:919: CellExecutionError
During handling of the above exception, another exception occurred:
tb = <testbook.client.TestbookNotebookClient object at 0x7f67ab3d2cd0>
@testbook(REPO_ROOT / "examples/03-Exploring-different-models.ipynb", execute=False)
def test_example_03_exploring_different_models(tb):
    tb.inject(
        """
        import os
        os.environ["DATA_FOLDER"] = "/tmp/data/"
        os.environ["NUM_ROWS"] = "999"
        """
    )
    NUM_OF_CELLS = len(tb.cells)


  tb.execute_cell(list(range(0, NUM_OF_CELLS - 5)))


tests/unit/tf/examples/test_03_exploring_different_models.py:18:

self = <testbook.client.TestbookNotebookClient object at 0x7f67ab3d2cd0>

cell = {'cell_type': 'markdown', 'id': '0c63e2eb', 'metadata': {'pycharm': {'name': '#%% md\n'}}, 'source': 'NVTabular export... other words, Merlin Models relies on the schema object to automatically build all necessary input and output layers.'}

kwargs = {}, cell_indexes = [0, 1, 2, 3, 4, 5, ...]

executed_cells = [{'cell_type': 'code', 'execution_count': 2, 'id': '5f49a48e', 'metadata': {'pycharm': {'name': '#%%\n'}, 'execution':...d': '2dd02301', 'metadata': {'pycharm': {'name': '#%% md\n'}}, 'source': '## Feature Engineering with NVTabular'}, ...]

idx = 14
def execute_cell(self, cell, **kwargs) -> Union[Dict, List[Dict]]:
    """
    Executes a cell or list of cells
    """
    if isinstance(cell, slice):
        start, stop = self._cell_index(cell.start), self._cell_index(cell.stop)
        if cell.step is not None:
            raise TestbookError('testbook does not support step argument')

        cell = range(start, stop + 1)
    elif isinstance(cell, str) or isinstance(cell, int):
        cell = [cell]

    cell_indexes = cell

    if all(isinstance(x, str) for x in cell):
        cell_indexes = [self._cell_index(tag) for tag in cell]

    executed_cells = []
    for idx in cell_indexes:
        try:
            cell = super().execute_cell(self.nb['cells'][idx], idx, **kwargs)
        except CellExecutionError as ce:


          raise TestbookRuntimeError(ce.evalue, ce, self._get_error_class(ce.ename))


E               testbook.exceptions.TestbookRuntimeError: An error occurred while executing the following cell:

E               ------------------

E               train = Dataset(os.path.join(output_path, "train", ".parquet"), part_size="500MB")

E               valid = Dataset(os.path.join(output_path, "valid", ".parquet"), part_size="500MB")

E

E               # define schema object

E               schema = train.schema

E               ------------------

E

E               �[0;31m---------------------------------------------------------------------------�[0m

E               �[0;31mIndexError�[0m                                Traceback (most recent call last)

E               Input �[0;32mIn [7]�[0m, in �[0;36m<cell line: 1>�[0;34m()�[0m

E               �[0;32m----> 1�[0m train �[38;5;241m=�[39m �[43mDataset�[49m�[43m(�[49m�[43mos�[49m�[38;5;241;43m.�[39;49m�[43mpath�[49m�[38;5;241;43m.�[39;49m�[43mjoin�[49m�[43m(�[49m�[43moutput_path�[49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43mtrain�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m*.parquet�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[43mpart_size�[49m�[38;5;241;43m=�[39;49m�[38;5;124;43m"�[39;49m�[38;5;124;43m500MB�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m

E               �[1;32m      2�[0m valid �[38;5;241m=�[39m Dataset(os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(output_path, �[38;5;124m"�[39m�[38;5;124mvalid�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124m*.parquet�[39m�[38;5;124m"�[39m), part_size�[38;5;241m=�[39m�[38;5;124m"�[39m�[38;5;124m500MB�[39m�[38;5;124m"�[39m)

E               �[1;32m      4�[0m �[38;5;66;03m# define schema object�[39;00m

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/dataset.py:303�[0m, in �[0;36mDataset.__init__�[0;34m(self, path_or_source, engine, npartitions, part_size, part_mem_fraction, storage_options, dtypes, client, cpu, base_dataset, schema, **kwargs)�[0m

E               �[1;32m    301�[0m �[38;5;28;01mif�[39;00m �[38;5;28misinstance�[39m(engine, �[38;5;28mstr�[39m):

E               �[1;32m    302�[0m     �[38;5;28;01mif�[39;00m engine �[38;5;241m==�[39m �[38;5;124m"�[39m�[38;5;124mparquet�[39m�[38;5;124m"�[39m:

E               �[0;32m--> 303�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mengine �[38;5;241m=�[39m �[43mParquetDatasetEngine�[49m�[43m(�[49m

E               �[1;32m    304�[0m �[43m            �[49m�[43mpaths�[49m�[43m,�[49m�[43m �[49m�[43mpart_size�[49m�[43m,�[49m�[43m �[49m�[43mstorage_options�[49m�[38;5;241;43m=�[39;49m�[43mstorage_options�[49m�[43m,�[49m�[43m �[49m�[43mcpu�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mcpu�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m

E               �[1;32m    305�[0m �[43m        �[49m�[43m)�[49m

E               �[1;32m    306�[0m     �[38;5;28;01melif�[39;00m engine �[38;5;241m==�[39m �[38;5;124m"�[39m�[38;5;124mcsv�[39m�[38;5;124m"�[39m:

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E               �[1;32m    308�[0m             paths, part_size, storage_options�[38;5;241m=�[39mstorage_options, cpu�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mcpu, �[38;5;241m�[39m�[38;5;241m�[39mkwargs

E               �[1;32m    309�[0m         )

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:313�[0m, in �[0;36mParquetDatasetEngine.__init__�[0;34m(self, paths, part_size, storage_options, row_groups_per_part, legacy, batch_size, cpu, **kwargs)�[0m

E               �[1;32m    308�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mdataset_kwargs �[38;5;241m=�[39m �[38;5;28mself�[39m�[38;5;241m.�[39mread_parquet_kwargs�[38;5;241m.�[39mpop(�[38;5;124m"�[39m�[38;5;124mdataset�[39m�[38;5;124m"�[39m, {})

E               �[1;32m    310�[0m �[38;5;28;01mif�[39;00m row_groups_per_part �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m:

E               �[1;32m    311�[0m     �[38;5;28mself�[39m�[38;5;241m.�[39m_real_meta, rg_byte_size_0 �[38;5;241m=�[39m run_on_worker(

E               �[1;32m    312�[0m         _sample_row_group,

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E               �[1;32m    314�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mfs,

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E               �[1;32m    316�[0m         memory_usage�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m,

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E               �[1;32m    318�[0m     )

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E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:338�[0m, in �[0;36mParquetDatasetEngine._path0�[0;34m(self)�[0m

E               �[1;32m    335�[0m �[38;5;129m@property�[39m  �[38;5;66;03m# type: ignore�[39;00m

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E               �[1;32m    337�[0m �[38;5;28;01mdef�[39;00m �[38;5;21m_path0�[39m(�[38;5;28mself�[39m):

E               �[0;32m--> 338�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mnext�[39m(�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_dataset�[49m�[38;5;241m.�[39mget_fragments())�[38;5;241m.�[39mpath

E

E               File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:368�[0m, in �[0;36mParquetDatasetEngine._dataset�[0;34m(self)�[0m

E               �[1;32m    365�[0m     dataset �[38;5;241m=�[39m pa_ds�[38;5;241m.�[39mdataset(paths, filesystem�[38;5;241m=�[39mfs)

E               �[1;32m    366�[0m �[38;5;28;01melse�[39;00m:

E               �[1;32m    367�[0m     �[38;5;66;03m# This is a directory or a single file�[39;00m

E               �[0;32m--> 368�[0m     dataset �[38;5;241m=�[39m pa_ds�[38;5;241m.�[39mdataset(�[43mpaths�[49m�[43m[�[49m�[38;5;241;43m0�[39;49m�[43m]�[49m, filesystem�[38;5;241m=�[39mfs)

E               �[1;32m    369�[0m �[38;5;28;01mreturn�[39;00m dataset

E

E               �[0;31mIndexError�[0m: list index out of range

E               IndexError: list index out of range
/usr/local/lib/python3.8/dist-packages/testbook/client.py:135: TestbookRuntimeError

----------------------------- Captured stderr call -----------------------------

2022-08-25 16:52:15.190401: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-08-25 16:52:17.268418: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-08-25 16:52:17.268590: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1627 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-08-25 16:52:17.269259: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-08-25 16:52:17.269315: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14508 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

___________________ test_example_04_exporting_ranking_models ___________________
tb = <testbook.client.TestbookNotebookClient object at 0x7f67ab3db1c0>
@testbook(REPO_ROOT / "examples/04-Exporting-ranking-models.ipynb", execute=False)
def test_example_04_exporting_ranking_models(tb):
    tb.inject(
        """
        import os
        os.environ["DATA_FOLDER"] = "/tmp/data/"
        os.environ["NUM_ROWS"] = "999"
        """
    )


  tb.execute()


tests/unit/tf/examples/test_04_export_ranking_models.py:17:

/usr/local/lib/python3.8/dist-packages/testbook/client.py:147: in execute

super().execute_cell(cell, index)

/usr/local/lib/python3.8/dist-packages/nbclient/util.py:85: in wrapped

return just_run(coro(*args, **kwargs))

/usr/local/lib/python3.8/dist-packages/nbclient/util.py:60: in just_run

return loop.run_until_complete(coro)

/usr/lib/python3.8/asyncio/base_events.py:616: in run_until_complete

return future.result()

/usr/local/lib/python3.8/dist-packages/nbclient/client.py:1025: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)

self = <testbook.client.TestbookNotebookClient object at 0x7f67ab3db1c0>

cell = {'cell_type': 'code', 'execution_count': 10, 'id': 'be3a3421', 'metadata': {'jupyter': {'outputs_hidden': False}, 'pyc...))\nvalid = Dataset(os.path.join(output_path, "valid", "*.parquet"))\n\n# define schema object\nschema = train.schema'}

cell_index = 20

exec_reply = {'buffers': [], 'content': {'ename': 'IndexError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'ab15429b-0c2c-44f6...e, 'engine': 'ab15429b-0c2c-44f6-bad0-75f433ec9a13', 'started': '2022-08-25T16:52:33.994724Z', 'status': 'error'}, ...}
async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

    exec_reply_content = exec_reply['content']
    if exec_reply_content['status'] != 'error':
        return None

    cell_allows_errors = (not self.force_raise_errors) and (
        self.allow_errors
        or exec_reply_content.get('ename') in self.allow_error_names
        or "raises-exception" in cell.metadata.get("tags", [])
    )
    await run_hook(
        self.on_cell_error, cell=cell, cell_index=cell_index, execute_reply=exec_reply
    )
    if not cell_allows_errors:


      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)


E           nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:

E           ------------------

E           # define train and valid dataset objects

E           train = Dataset(os.path.join(output_path, "train", ".parquet"))

E           valid = Dataset(os.path.join(output_path, "valid", ".parquet"))

E

E           # define schema object

E           schema = train.schema

E           ------------------

E

E           �[0;31m---------------------------------------------------------------------------�[0m

E           �[0;31mIndexError�[0m                                Traceback (most recent call last)

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E           �[1;32m      3�[0m valid �[38;5;241m=�[39m Dataset(os�[38;5;241m.�[39mpath�[38;5;241m.�[39mjoin(output_path, �[38;5;124m"�[39m�[38;5;124mvalid�[39m�[38;5;124m"�[39m, �[38;5;124m"�[39m�[38;5;124m*.parquet�[39m�[38;5;124m"�[39m))

E           �[1;32m      5�[0m �[38;5;66;03m# define schema object�[39;00m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/dataset.py:303�[0m, in �[0;36mDataset.__init__�[0;34m(self, path_or_source, engine, npartitions, part_size, part_mem_fraction, storage_options, dtypes, client, cpu, base_dataset, schema, **kwargs)�[0m

E           �[1;32m    301�[0m �[38;5;28;01mif�[39;00m �[38;5;28misinstance�[39m(engine, �[38;5;28mstr�[39m):

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E           �[0;32m--> 303�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mengine �[38;5;241m=�[39m �[43mParquetDatasetEngine�[49m�[43m(�[49m

E           �[1;32m    304�[0m �[43m            �[49m�[43mpaths�[49m�[43m,�[49m�[43m �[49m�[43mpart_size�[49m�[43m,�[49m�[43m �[49m�[43mstorage_options�[49m�[38;5;241;43m=�[39;49m�[43mstorage_options�[49m�[43m,�[49m�[43m �[49m�[43mcpu�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mcpu�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m�[39;49m�[43mkwargs�[49m

E           �[1;32m    305�[0m �[43m        �[49m�[43m)�[49m

E           �[1;32m    306�[0m     �[38;5;28;01melif�[39;00m engine �[38;5;241m==�[39m �[38;5;124m"�[39m�[38;5;124mcsv�[39m�[38;5;124m"�[39m:

E           �[1;32m    307�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mengine �[38;5;241m=�[39m CSVDatasetEngine(

E           �[1;32m    308�[0m             paths, part_size, storage_options�[38;5;241m=�[39mstorage_options, cpu�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mcpu, �[38;5;241m�[39m�[38;5;241m�[39mkwargs

E           �[1;32m    309�[0m         )

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:313�[0m, in �[0;36mParquetDatasetEngine.__init__�[0;34m(self, paths, part_size, storage_options, row_groups_per_part, legacy, batch_size, cpu, **kwargs)�[0m

E           �[1;32m    308�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mdataset_kwargs �[38;5;241m=�[39m �[38;5;28mself�[39m�[38;5;241m.�[39mread_parquet_kwargs�[38;5;241m.�[39mpop(�[38;5;124m"�[39m�[38;5;124mdataset�[39m�[38;5;124m"�[39m, {})

E           �[1;32m    310�[0m �[38;5;28;01mif�[39;00m row_groups_per_part �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[1;32m    311�[0m     �[38;5;28mself�[39m�[38;5;241m.�[39m_real_meta, rg_byte_size_0 �[38;5;241m=�[39m run_on_worker(

E           �[1;32m    312�[0m         _sample_row_group,

E           �[0;32m--> 313�[0m         �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_path0�[49m,

E           �[1;32m    314�[0m         �[38;5;28mself�[39m�[38;5;241m.�[39mfs,

E           �[1;32m    315�[0m         cpu�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mcpu,

E           �[1;32m    316�[0m         memory_usage�[38;5;241m=�[39m�[38;5;28;01mTrue�[39;00m,

E           �[1;32m    317�[0m         �[38;5;241m�[39m�[38;5;241m�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mread_parquet_kwargs,

E           �[1;32m    318�[0m     )

E           �[1;32m    319�[0m     row_groups_per_part �[38;5;241m=�[39m �[38;5;28mself�[39m�[38;5;241m.�[39mpart_size �[38;5;241m/�[39m rg_byte_size_0

E           �[1;32m    320�[0m     �[38;5;28;01mif�[39;00m row_groups_per_part �[38;5;241m<�[39m �[38;5;241m1.0�[39m:

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:338�[0m, in �[0;36mParquetDatasetEngine._path0�[0;34m(self)�[0m

E           �[1;32m    335�[0m �[38;5;129m@property�[39m  �[38;5;66;03m# type: ignore�[39;00m

E           �[1;32m    336�[0m �[38;5;129m@functools�[39m�[38;5;241m.�[39mlru_cache(�[38;5;241m1�[39m)

E           �[1;32m    337�[0m �[38;5;28;01mdef�[39;00m �[38;5;21m_path0�[39m(�[38;5;28mself�[39m):

E           �[0;32m--> 338�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mnext�[39m(�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_dataset�[49m�[38;5;241m.�[39mget_fragments())�[38;5;241m.�[39mpath

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/merlin/io/parquet.py:368�[0m, in �[0;36mParquetDatasetEngine._dataset�[0;34m(self)�[0m

E           �[1;32m    365�[0m     dataset �[38;5;241m=�[39m pa_ds�[38;5;241m.�[39mdataset(paths, filesystem�[38;5;241m=�[39mfs)

E           �[1;32m    366�[0m �[38;5;28;01melse�[39;00m:

E           �[1;32m    367�[0m     �[38;5;66;03m# This is a directory or a single file�[39;00m

E           �[0;32m--> 368�[0m     dataset �[38;5;241m=�[39m pa_ds�[38;5;241m.�[39mdataset(�[43mpaths�[49m�[43m[�[49m�[38;5;241;43m0�[39;49m�[43m]�[49m, filesystem�[38;5;241m=�[39mfs)

E           �[1;32m    369�[0m �[38;5;28;01mreturn�[39;00m dataset

E

E           �[0;31mIndexError�[0m: list index out of range

E           IndexError: list index out of range
/usr/local/lib/python3.8/dist-packages/nbclient/client.py:919: CellExecutionError

----------------------------- Captured stderr call -----------------------------

2022-08-25 16:52:26.335662: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

2022-08-25 16:52:28.435688: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-08-25 16:52:28.435857: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1627 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-08-25 16:52:28.436595: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 1

2022-08-25 16:52:28.436650: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14508 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

File "/usr/lib/python3.8/logging/init.py", line 2127, in shutdown

h.close()

File "/usr/local/lib/python3.8/dist-packages/absl/logging/init.py", line 934, in close

self.stream.close()

File "/usr/local/lib/python3.8/dist-packages/ipykernel/iostream.py", line 438, in close

self.watch_fd_thread.join()

AttributeError: 'OutStream' object has no attribute 'watch_fd_thread'

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_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:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

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

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

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

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

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

/tmp/autograph_generated_filewjbkt7_w.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

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

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

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

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

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

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

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

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

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

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

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

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

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:835: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/torch/block/test_mlp.py::test_mlp_block

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

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

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

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

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

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

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

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

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

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

===== 2 failed, 645 passed, 11 skipped, 121 warnings in 860.54s (0:14:20) ======

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/jenkins7018839004697777338.sh

github-actions · 2022-08-25T17:10:31Z

Documentation preview

https://nvidia-merlin.github.io/models/review/pr-682

nvidia-merlin-bot · 2022-08-26T11:05:03Z

Click to view CI Results

GitHub pull request #682 of commit 95de14456e5c338222b2534b564956ec6b675865, no merge conflicts.
Running as SYSTEM
Setting status of 95de14456e5c338222b2534b564956ec6b675865 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1050/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/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse 95de14456e5c338222b2534b564956ec6b675865^{commit} # timeout=10
Checking out Revision 95de14456e5c338222b2534b564956ec6b675865 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 95de14456e5c338222b2534b564956ec6b675865 # timeout=10
Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk 73046ee828243b780345feed638fcd16e34c48c2 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3798798959986094544.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: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (5.3.0)
Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.9.1)
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Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (2.16.1)
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: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (1.3.10)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, 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 671 items
tests/unit/config/test_schema.py ....                                    [  0%]

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

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

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

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

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

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

tests/unit/lightfm/test_lightfm.py .                                     [  4%]

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

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

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

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

tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]

.....................                                                    [ 23%]

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

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

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]

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

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 26%]

tests/unit/tf/core/test_aggregation.py .........                         [ 27%]

tests/unit/tf/core/test_base.py ..                                       [ 27%]

tests/unit/tf/core/test_combinators.py s...................              [ 30%]

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

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

tests/unit/tf/core/test_tabular.py ....                                  [ 32%]

tests/unit/tf/core/test_transformations.py s............................ [ 36%]

..................                                                       [ 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 .                           [ 41%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]

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_07_train_traditional_models.py .             [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]

..                                                                       [ 48%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]

tests/unit/tf/models/test_base.py s.................                     [ 63%]

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

tests/unit/tf/models/test_ranking.py ........................            [ 67%]

tests/unit/tf/models/test_retrieval.py ................................  [ 72%]

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

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

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]

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

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

tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]

tests/unit/tf/predictions/test_regression.py ..                          [ 80%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 80%]

tests/unit/tf/utils/test_batch.py ....                                   [ 81%]

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

tests/unit/torch/test_dataset.py .........                               [ 83%]

tests/unit/torch/test_public_api.py .                                    [ 83%]

tests/unit/torch/block/test_base.py ....                                 [ 84%]

tests/unit/torch/block/test_mlp.py .                                     [ 84%]

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

tests/unit/torch/features/test_embedding.py ..............               [ 86%]

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

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

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

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_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:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

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

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

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

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

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

/tmp/autograph_generated_file77tystzl.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

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

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

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

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

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

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

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

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

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

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

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

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

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:939: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/torch/block/test_mlp.py::test_mlp_block

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

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

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

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

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

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

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

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

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

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

========== 660 passed, 11 skipped, 121 warnings in 897.46s (0:14:57) ===========

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/jenkins8009989404851417450.sh

nvidia-merlin-bot · 2022-08-29T15:32:20Z

Click to view CI Results

GitHub pull request #682 of commit 5ad403f51a9df12bc8c9c91e20b751f1a080b731, no merge conflicts.
Running as SYSTEM
Setting status of 5ad403f51a9df12bc8c9c91e20b751f1a080b731 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1064/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/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse 5ad403f51a9df12bc8c9c91e20b751f1a080b731^{commit} # timeout=10
Checking out Revision 5ad403f51a9df12bc8c9c91e20b751f1a080b731 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 5ad403f51a9df12bc8c9c91e20b751f1a080b731 # timeout=10
Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk 1a6b049f81ee517640165f3e3d76f3f23b59b5a6 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins10513557995189015726.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: zipp>=3.1.0; python_version < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, 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 672 items
tests/unit/config/test_schema.py ....                                    [  0%]

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

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

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

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

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

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

tests/unit/lightfm/test_lightfm.py .                                     [  4%]

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

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

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

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

tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]

.....................                                                    [ 23%]

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

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

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]

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

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 26%]

tests/unit/tf/core/test_aggregation.py .........                         [ 27%]

tests/unit/tf/core/test_base.py ..                                       [ 27%]

tests/unit/tf/core/test_combinators.py s...................              [ 30%]

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

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

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

tests/unit/tf/core/test_transformations.py s............................ [ 36%]

..................                                                       [ 38%]

tests/unit/tf/data_augmentation/test_misc.py .                           [ 39%]

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 41%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 42%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 42%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 42%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]

..                                                                       [ 48%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]

tests/unit/tf/models/test_base.py s.................                     [ 63%]

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

tests/unit/tf/models/test_ranking.py ........................            [ 67%]

tests/unit/tf/models/test_retrieval.py ................................  [ 72%]

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]

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

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

tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]

tests/unit/tf/predictions/test_regression.py ..                          [ 80%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 80%]

tests/unit/tf/utils/test_batch.py ....                                   [ 81%]

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

tests/unit/torch/test_dataset.py .........                               [ 83%]

tests/unit/torch/test_public_api.py .                                    [ 83%]

tests/unit/torch/block/test_base.py ....                                 [ 84%]

tests/unit/torch/block/test_mlp.py .                                     [ 84%]

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

tests/unit/torch/features/test_embedding.py ..............               [ 86%]

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

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

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

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 13 warnings

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

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

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

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

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

tests/unit/tf/models/test_base.py: 18 warnings

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

tests/unit/tf/models/test_ranking.py: 28 warnings

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

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 10 warnings

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

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

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

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

tests/unit/tf/models/test_base.py: 18 warnings

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

tests/unit/tf/models/test_ranking.py: 26 warnings

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

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

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

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

tests/unit/tf/models/test_ranking.py: 16 warnings

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

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

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

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

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

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

/tmp/autograph_generated_filezloh628t.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

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

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

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

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

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

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

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

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

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

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

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

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

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:939: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/torch/block/test_mlp.py::test_mlp_block

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

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

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

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

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

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

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

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

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

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

========== 661 passed, 11 skipped, 995 warnings in 928.64s (0:15:28) ===========

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/jenkins4502403264939330614.sh

nvidia-merlin-bot · 2022-08-30T06:41:00Z

Click to view CI Results

GitHub pull request #682 of commit d1ed6c1189925c6d255b9d1d8d934b7163e6b313, no merge conflicts.
Running as SYSTEM
Setting status of d1ed6c1189925c6d255b9d1d8d934b7163e6b313 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1081/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/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse d1ed6c1189925c6d255b9d1d8d934b7163e6b313^{commit} # timeout=10
Checking out Revision d1ed6c1189925c6d255b9d1d8d934b7163e6b313 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f d1ed6c1189925c6d255b9d1d8d934b7163e6b313 # timeout=10
Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk 9e7a3e769643bb7a6accbbcf90174c9f66f059d1 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins17462431735264731025.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.0.4->testbook) (4.9.1)
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Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (1.3.10)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
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: zipp>=3.1.0; python_version < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, 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 673 items
tests/unit/config/test_schema.py ....                                    [  0%]

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

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

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

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

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

tests/unit/implicit/test_implicit.py .                                   [  4%]

tests/unit/lightfm/test_lightfm.py .                                     [  4%]

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

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

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

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

tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]

.....................                                                    [ 23%]

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

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

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 26%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 26%]

tests/unit/tf/core/test_aggregation.py .........                         [ 27%]

tests/unit/tf/core/test_base.py ..                                       [ 27%]

tests/unit/tf/core/test_combinators.py s...................              [ 30%]

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

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

tests/unit/tf/core/test_tabular.py ....                                  [ 32%]

tests/unit/tf/core/test_transformations.py s............................ [ 36%]

..................                                                       [ 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 .                           [ 41%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]

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_07_train_traditional_models.py .             [ 42%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 48%]

..                                                                       [ 48%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 61%]

tests/unit/tf/models/test_base.py s.................                     [ 63%]

tests/unit/tf/models/test_benchmark.py ..                                [ 64%]

tests/unit/tf/models/test_ranking.py ........................            [ 67%]

tests/unit/tf/models/test_retrieval.py ................................  [ 72%]

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 75%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]

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

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

tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]

tests/unit/tf/predictions/test_regression.py ..                          [ 80%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 80%]

tests/unit/tf/utils/test_batch.py ....                                   [ 81%]

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

tests/unit/torch/test_dataset.py .........                               [ 83%]

tests/unit/torch/test_public_api.py .                                    [ 83%]

tests/unit/torch/block/test_base.py ....                                 [ 84%]

tests/unit/torch/block/test_mlp.py .                                     [ 84%]

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

tests/unit/torch/features/test_embedding.py ..............               [ 86%]

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

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

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

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 13 warnings

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

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

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

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

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

tests/unit/tf/models/test_base.py: 18 warnings

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

tests/unit/tf/models/test_ranking.py: 28 warnings

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

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 10 warnings

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

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

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

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

tests/unit/tf/models/test_base.py: 18 warnings

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

tests/unit/tf/models/test_ranking.py: 26 warnings

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

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

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

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

tests/unit/tf/models/test_ranking.py: 16 warnings

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

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

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

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

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

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

/tmp/autograph_generated_fileww22gfak.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

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

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

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

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

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

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

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

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

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

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

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

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

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:939: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/torch/block/test_mlp.py::test_mlp_block

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

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

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

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

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

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

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

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

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

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

========== 662 passed, 11 skipped, 996 warnings in 932.41s (0:15:32) ===========

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/jenkins4202507839641554765.sh

nvidia-merlin-bot · 2022-08-30T20:58:46Z

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GitHub pull request #682 of commit dd3fde315c27493e4797163139450a27c8c2857d, no merge conflicts.
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Fetching upstream changes from https://github.com/NVIDIA-Merlin/models/
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Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk 134137ac255b731b31c322ab668c9d8a6a533b02 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins17415915307375445169.sh
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ImportError while loading conftest '/var/jenkins_home/workspace/merlin_models/models/tests/conftest.py'.
tests/conftest.py:26: in 
    from merlin.datasets.synthetic import generate_data
merlin/datasets/synthetic.py:26: in 
    import merlin.io
/usr/local/lib/python3.8/dist-packages/merlin/io/__init__.py:18: in 
    from merlin.io import dataframe_iter, dataset, shuffle
/usr/local/lib/python3.8/dist-packages/merlin/io/dataset.py:33: in 
    import merlin.core.dispatch as dispatch
/usr/local/lib/python3.8/dist-packages/merlin/core/dispatch.py:35: in 
    import cudf
/usr/local/lib/python3.8/dist-packages/cudf/__init__.py:5: in 
    validate_setup()
/usr/local/lib/python3.8/dist-packages/cudf/utils/gpu_utils.py:55: in validate_setup
    raise e
/usr/local/lib/python3.8/dist-packages/cudf/utils/gpu_utils.py:52: in validate_setup
    gpus_count = getDeviceCount()
/usr/local/lib/python3.8/dist-packages/rmm/_cuda/gpu.py:101: in getDeviceCount
    raise CUDARuntimeError(status)
E   rmm._cuda.gpu.CUDARuntimeError: cudaErrorInitializationError: initialization error
Build step 'Execute shell' marked build as failure
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Running script  : #!/bin/bash
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[merlin_models] $ /bin/bash /tmp/jenkins16872190694150856746.sh

rnyak · 2022-08-30T21:07:40Z

@oliverholworthy regarding your statement he downside of this might be if you have a sufficiently large dataset you want to pass to evals that requires the efficiency of the DeviceQuantileDMatrix when running on the GPU
Can we not make this optional? this is an important feature and we actually used it for fitting data on a single GPU for a customer use case. So how about adding an arg in the evals in the model.fit() and exposing it to the user so they can choose if they want DaskDMatrix or DeviceQuantileDMatrix? default it can be DaskDMatrix. What do you think?

oliverholworthy · 2022-08-31T08:13:43Z

this is an important feature and we actually used it for fitting data on a single GPU for a customer use case. So how about adding an arg in the evals in the model.fit() and exposing it to the user so they can choose if they want DaskDMatrix or DeviceQuantileDMatrix?

Similar to the param use_quantile - which controls the dmatrix type for both the training data and the eval data currently. An additional parameter to control the dmatrix type of the evals data specifically (e.g. evals_use_quantile) would work. However, I wonder if the additional parameter would add more complexity than required to this interface.

If using the device quantile version of the dmatrix is very important when using the GPU (even for eval data) then perhaps it would make sense to keep the code as-is (closing this PR)? And instead add notes/documentation about the metrics - that logged metrics won't match the result of the .evaluate method exactly. If we added a param to control the dmatrix type of the evals data, we'd have to handle this anyway.

The only reason I can think of the extra param would be required if someone was training on GPU with a sufficiently small validation dataset (where they know for sure that the benefits of the device quantile dmatrix are not required) and it was important that the logged metrics matched up with evaluation metrics after the training. If that's a likely requirement then adding this extra param is the way to go.

nvidia-merlin-bot · 2022-08-31T16:24:08Z

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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
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tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 13 warnings

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

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

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

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

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

tests/unit/tf/models/test_base.py: 17 warnings

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

tests/unit/tf/models/test_ranking.py: 34 warnings

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

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 10 warnings

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

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

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

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

tests/unit/tf/models/test_base.py: 17 warnings

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

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

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

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

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

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

tests/unit/tf/models/test_ranking.py: 16 warnings

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:807: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

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

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

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

tests/unit/tf/predictions/test_classification.py: 12 warnings

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

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

/tmp/autograph_generated_filew543pc0l.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

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

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

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

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

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

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

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

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

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

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

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

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

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

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

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

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

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

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

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

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

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

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

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

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

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

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

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

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

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

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

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

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

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

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

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

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

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

========== 667 passed, 11 skipped, 1011 warnings in 944.21s (0:15:44) ==========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_models] $ /bin/bash /tmp/jenkins16680427534493935158.sh

nvidia-merlin-bot · 2022-09-06T14:08:08Z

Click to view CI Results

GitHub pull request #682 of commit a5e495a890885caa8ad3f069503426c01552cf7f, no merge conflicts.
Running as SYSTEM
Setting status of a5e495a890885caa8ad3f069503426c01552cf7f to PENDING with url https://10.20.13.93:8080/job/merlin_models/1150/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/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse a5e495a890885caa8ad3f069503426c01552cf7f^{commit} # timeout=10
Checking out Revision a5e495a890885caa8ad3f069503426c01552cf7f (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f a5e495a890885caa8ad3f069503426c01552cf7f # timeout=10
Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk 3901b9cd073b5d27e678ca4d15c685949d18b4ce # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins10557699448170428350.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: zipp>=3.1.0; python_version < "3.10" in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0; python_version < "3.9"->jsonschema>=2.6->nbformat>=5.0.4->testbook) (3.8.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 681 items
tests/unit/config/test_schema.py ....                                    [  0%]

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

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

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

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

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

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

tests/unit/lightfm/test_lightfm.py .                                     [  4%]

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

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

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

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

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

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

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

tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]

.....................                                                    [ 23%]

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

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

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]

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

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

tests/unit/tf/core/test_aggregation.py .........                         [ 27%]

tests/unit/tf/core/test_base.py ..                                       [ 27%]

tests/unit/tf/core/test_combinators.py s...................              [ 30%]

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

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

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

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

..................                                                       [ 38%]

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

tests/unit/tf/data_augmentation/test_negative_sampling.py ..........     [ 40%]

tests/unit/tf/data_augmentation/test_noise.py .....                      [ 40%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 41%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 41%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 41%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 41%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 41%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 41%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 41%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 42%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 42%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 43%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 47%]

.....                                                                    [ 48%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 51%]

tests/unit/tf/layers/test_queue.py ..............                        [ 53%]

tests/unit/tf/losses/test_losses.py .......................              [ 56%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 57%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 60%]

tests/unit/tf/models/test_base.py s................                      [ 63%]

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

tests/unit/tf/models/test_ranking.py ..............................      [ 67%]

tests/unit/tf/models/test_retrieval.py ................................  [ 72%]

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

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 75%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 76%]

tests/unit/tf/prediction_tasks/test_regression.py ..                     [ 76%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 76%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 77%]

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

tests/unit/tf/predictions/test_classification.py .......                 [ 79%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 80%]

tests/unit/tf/predictions/test_regression.py ..                          [ 80%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 81%]

tests/unit/tf/utils/test_batch.py ....                                   [ 81%]

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

tests/unit/torch/test_dataset.py .........                               [ 83%]

tests/unit/torch/test_public_api.py .                                    [ 83%]

tests/unit/torch/block/test_base.py ....                                 [ 84%]

tests/unit/torch/block/test_mlp.py .                                     [ 84%]

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

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

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

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

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

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tests/unit/tf/core/test_combinators.py: 10 warnings

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

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

tests/unit/tf/core/test_transformations.py: 13 warnings

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

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

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

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

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

tests/unit/tf/models/test_base.py: 17 warnings

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

tests/unit/tf/models/test_ranking.py: 34 warnings

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

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

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

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

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

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

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

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

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

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

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_dataset.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 10 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/core/test_transformations.py: 10 warnings

tests/unit/tf/data_augmentation/test_negative_sampling.py: 10 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 17 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 32 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 2 warnings

tests/unit/tf/predictions/test_base.py: 5 warnings

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

tests/unit/tf/predictions/test_regression.py: 2 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_dataset.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 10 warnings

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/data_augmentation/test_negative_sampling.py: 9 warnings

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 16 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:879: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_filed9khiu_v.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/data_augmentation/test_noise.py::test_stochastic_swap_noise[0.7]

tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/transformations.py:980: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========== 670 passed, 11 skipped, 1011 warnings in 949.49s (0:15:49) ==========

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/jenkins2433337346761491967.sh

nvidia-merlin-bot · 2022-09-19T15:44:41Z

Click to view CI Results

GitHub pull request #682 of commit 6982d93fffc5e3d31f09ab0e5b3a165b19d23a42, no merge conflicts.
Running as SYSTEM
Setting status of 6982d93fffc5e3d31f09ab0e5b3a165b19d23a42 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1261/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/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse 6982d93fffc5e3d31f09ab0e5b3a165b19d23a42^{commit} # timeout=10
Checking out Revision 6982d93fffc5e3d31f09ab0e5b3a165b19d23a42 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6982d93fffc5e3d31f09ab0e5b3a165b19d23a42 # timeout=10
Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk f3273a37849a300e6aa16386d60c31aef518ef1e # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins15274723052008121904.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: pkgutil-resolve-name>=1.3.10; python_version < "3.9" in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (1.3.10)
Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.0.4->testbook) (0.18.1)
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 685 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  4%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_dataset.py ................                           [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  9%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py .                              [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 20%]

.....................                                                    [ 23%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 23%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 25%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 25%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 27%]

tests/unit/tf/core/test_base.py ..                                       [ 27%]

tests/unit/tf/core/test_combinators.py s...................              [ 30%]

tests/unit/tf/core/test_encoder.py .                                     [ 30%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 31%]

tests/unit/tf/core/test_tabular.py ....                                  [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 32%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 32%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 32%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 38%]

.....                                                                    [ 39%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 47%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 48%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 51%]

tests/unit/tf/models/test_base.py s.................                     [ 54%]

tests/unit/tf/models/test_benchmark.py ..                                [ 54%]

tests/unit/tf/models/test_ranking.py ..............................      [ 58%]

tests/unit/tf/models/test_retrieval.py ................................  [ 63%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 63%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 65%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 66%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 67%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 67%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 68%]

tests/unit/tf/predictions/test_base.py .....                             [ 69%]

tests/unit/tf/predictions/test_classification.py .......                 [ 70%]

tests/unit/tf/predictions/test_dot_product.py ........                   [ 71%]

tests/unit/tf/predictions/test_regression.py ..                          [ 71%]

tests/unit/tf/predictions/test_sampling.py ....                          [ 72%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 72%]

tests/unit/tf/transforms/test_features.py s............................. [ 76%]

.............                                                            [ 78%]

tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 80%]

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tests/unit/tf/utils/test_batch.py ....                                   [ 81%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 82%]

tests/unit/torch/test_dataset.py .........                               [ 83%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 84%]

tests/unit/torch/block/test_mlp.py .                                     [ 84%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 87%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 89%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 90%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_dataset.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 10 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 17 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 34 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/predictions/test_base.py: 5 warnings

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

tests/unit/tf/predictions/test_regression.py: 2 warnings

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_dataset.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 10 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 17 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 32 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/predictions/test_base.py: 5 warnings

tests/unit/tf/predictions/test_classification.py: 7 warnings

tests/unit/tf/predictions/test_dot_product.py: 8 warnings

tests/unit/tf/predictions/test_regression.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py::test_synthetic_aliccp_raw_data

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-True-8]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-10]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-9]

tests/unit/tf/test_dataset.py::test_tf_drp_reset[100-False-8]

tests/unit/tf/test_dataset.py::test_tf_catname_ordering

tests/unit/tf/test_dataset.py::test_tf_map

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:384: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_dataset.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 10 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 16 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:879: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/predictions/test_classification.py: 12 warnings

tests/unit/tf/predictions/test_dot_product.py: 2 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_fileplj7eepl.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:481: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [4] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========== 674 passed, 11 skipped, 1024 warnings in 943.59s (0:15:43) ==========

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/jenkins9348312362669327678.sh

nvidia-merlin-bot · 2022-09-21T15:26:09Z

Click to view CI Results

GitHub pull request #682 of commit 3dc6ff6cd8f631724f815b179946a18c031b0c21, no merge conflicts.
Running as SYSTEM
Setting status of 3dc6ff6cd8f631724f815b179946a18c031b0c21 to PENDING with url https://10.20.13.93:8080/job/merlin_models/1336/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/682/*:refs/remotes/origin/pr/682/* # timeout=10
 > git rev-parse 3dc6ff6cd8f631724f815b179946a18c031b0c21^{commit} # timeout=10
Checking out Revision 3dc6ff6cd8f631724f815b179946a18c031b0c21 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 3dc6ff6cd8f631724f815b179946a18c031b0c21 # timeout=10
Commit message: "Merge branch 'main' into xgboost-evals-dmatrix"
 > git rev-list --no-walk 223ac650b7cfbacc62350c3fd263407d331cbc30 # timeout=10
[merlin_models] $ /bin/bash /tmp/jenkins3920133369140583318.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.8.2->jupyter-client>=6.1.5->nbclient>=0.4.0->testbook) (1.15.0)
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
rootdir: /var/jenkins_home/workspace/merlin_models/models, configfile: pyproject.toml
plugins: anyio-3.6.1, xdist-2.5.0, forked-1.4.0, cov-3.0.0
collected 711 items
tests/unit/config/test_schema.py ....                                    [  0%]

tests/unit/datasets/test_advertising.py .s                               [  0%]

tests/unit/datasets/test_ecommerce.py ..sss                              [  1%]

tests/unit/datasets/test_entertainment.py ....sss.                       [  2%]

tests/unit/datasets/test_social.py .                                     [  2%]

tests/unit/datasets/test_synthetic.py ......                             [  3%]

tests/unit/implicit/test_implicit.py .                                   [  3%]

tests/unit/lightfm/test_lightfm.py .                                     [  3%]

tests/unit/tf/test_core.py ......                                        [  4%]

tests/unit/tf/test_loader.py ................                            [  7%]

tests/unit/tf/test_public_api.py .                                       [  7%]

tests/unit/tf/blocks/test_cross.py ...........                           [  8%]

tests/unit/tf/blocks/test_dlrm.py ..........                             [ 10%]

tests/unit/tf/blocks/test_interactions.py ...                            [ 10%]

tests/unit/tf/blocks/test_mlp.py .................................       [ 15%]

tests/unit/tf/blocks/test_optimizer.py s................................ [ 19%]

.....................                                                    [ 22%]

tests/unit/tf/blocks/retrieval/test_base.py .                            [ 22%]

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py ..           [ 23%]

tests/unit/tf/blocks/retrieval/test_two_tower.py ...........             [ 24%]

tests/unit/tf/blocks/sampling/test_cross_batch.py .                      [ 24%]

tests/unit/tf/blocks/sampling/test_in_batch.py .                         [ 25%]

tests/unit/tf/core/test_aggregation.py .........                         [ 26%]

tests/unit/tf/core/test_base.py ..                                       [ 26%]

tests/unit/tf/core/test_combinators.py s....................             [ 29%]

tests/unit/tf/core/test_encoder.py .                                     [ 29%]

tests/unit/tf/core/test_index.py ...                                     [ 30%]

tests/unit/tf/core/test_prediction.py ..                                 [ 30%]

tests/unit/tf/core/test_tabular.py ......                                [ 31%]

tests/unit/tf/examples/test_01_getting_started.py .                      [ 31%]

tests/unit/tf/examples/test_02_dataschema.py .                           [ 31%]

tests/unit/tf/examples/test_03_exploring_different_models.py .           [ 31%]

tests/unit/tf/examples/test_04_export_ranking_models.py .                [ 31%]

tests/unit/tf/examples/test_05_export_retrieval_model.py .               [ 31%]

tests/unit/tf/examples/test_06_advanced_own_architecture.py .            [ 32%]

tests/unit/tf/examples/test_07_train_traditional_models.py .             [ 32%]

tests/unit/tf/examples/test_usecase_ecommerce_session_based.py .         [ 32%]

tests/unit/tf/examples/test_usecase_pretrained_embeddings.py .           [ 32%]

tests/unit/tf/inputs/test_continuous.py .....                            [ 33%]

tests/unit/tf/inputs/test_embedding.py ................................. [ 37%]

......                                                                   [ 38%]

tests/unit/tf/inputs/test_tabular.py ..................                  [ 41%]

tests/unit/tf/layers/test_queue.py ..............                        [ 43%]

tests/unit/tf/losses/test_losses.py .......................              [ 46%]

tests/unit/tf/metrics/test_metrics_popularity.py .....                   [ 47%]

tests/unit/tf/metrics/test_metrics_topk.py .......................       [ 50%]

tests/unit/tf/models/test_base.py s.................                     [ 52%]

tests/unit/tf/models/test_benchmark.py ..                                [ 53%]

tests/unit/tf/models/test_ranking.py ..................................  [ 57%]

tests/unit/tf/models/test_retrieval.py ................................  [ 62%]

tests/unit/tf/outputs/test_base.py .....                                 [ 63%]

tests/unit/tf/outputs/test_classification.py ......                      [ 63%]

tests/unit/tf/outputs/test_contrastive.py ...........                    [ 65%]

tests/unit/tf/outputs/test_regression.py ..                              [ 65%]

tests/unit/tf/outputs/test_sampling.py ....                              [ 66%]

tests/unit/tf/prediction_tasks/test_classification.py ..                 [ 66%]

tests/unit/tf/prediction_tasks/test_multi_task.py ................       [ 68%]

tests/unit/tf/prediction_tasks/test_next_item.py .....                   [ 69%]

tests/unit/tf/prediction_tasks/test_regression.py .....                  [ 70%]

tests/unit/tf/prediction_tasks/test_retrieval.py .                       [ 70%]

tests/unit/tf/prediction_tasks/test_sampling.py ......                   [ 71%]

tests/unit/tf/transforms/test_bias.py ..                                 [ 71%]

tests/unit/tf/transforms/test_features.py s............................. [ 75%]

....................s......                                              [ 79%]

tests/unit/tf/transforms/test_negative_sampling.py ..........            [ 81%]

tests/unit/tf/transforms/test_noise.py .....                             [ 81%]

tests/unit/tf/transforms/test_tensor.py ..                               [ 81%]

tests/unit/tf/utils/test_batch.py ....                                   [ 82%]

tests/unit/tf/utils/test_tf_utils.py .....                               [ 83%]

tests/unit/torch/test_dataset.py .........                               [ 84%]

tests/unit/torch/test_public_api.py .                                    [ 84%]

tests/unit/torch/block/test_base.py ....                                 [ 85%]

tests/unit/torch/block/test_mlp.py .                                     [ 85%]

tests/unit/torch/features/test_continuous.py ..                          [ 85%]

tests/unit/torch/features/test_embedding.py ..............               [ 87%]

tests/unit/torch/features/test_tabular.py ....                           [ 88%]

tests/unit/torch/model/test_head.py ............                         [ 89%]

tests/unit/torch/model/test_model.py ..                                  [ 90%]

tests/unit/torch/tabular/test_aggregation.py ........                    [ 91%]

tests/unit/torch/tabular/test_tabular.py ...                             [ 91%]

tests/unit/torch/tabular/test_transformations.py .......                 [ 92%]

tests/unit/utils/test_schema_utils.py ................................   [ 97%]

tests/unit/xgb/test_xgboost.py ....................                      [100%]
=============================== warnings summary ===============================

../../../../../usr/lib/python3/dist-packages/requests/init.py:89

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:36: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.

'nearest': pil_image.NEAREST,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:37: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.

'bilinear': pil_image.BILINEAR,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:38: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.

'bicubic': pil_image.BICUBIC,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:39: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead.

'hamming': pil_image.HAMMING,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:40: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead.

'box': pil_image.BOX,
../../../../../usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41

/usr/local/lib/python3.8/dist-packages/keras/utils/image_utils.py:41: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead.

'lanczos': pil_image.LANCZOS,
tests/unit/datasets/test_advertising.py: 1 warning

tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 6 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_index.py: 8 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 17 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 38 warnings

tests/unit/tf/models/test_retrieval.py: 60 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/prediction_tasks/test_retrieval.py: 1 warning

tests/unit/tf/transforms/test_bias.py: 2 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/transforms/test_noise.py: 1 warning

tests/unit/tf/utils/test_batch.py: 9 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 3 warnings

tests/unit/xgb/test_xgboost.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_ecommerce.py: 2 warnings

tests/unit/datasets/test_entertainment.py: 4 warnings

tests/unit/datasets/test_social.py: 1 warning

tests/unit/datasets/test_synthetic.py: 5 warnings

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_core.py: 6 warnings

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/test_cross.py: 5 warnings

tests/unit/tf/blocks/test_dlrm.py: 9 warnings

tests/unit/tf/blocks/test_interactions.py: 2 warnings

tests/unit/tf/blocks/test_mlp.py: 26 warnings

tests/unit/tf/blocks/test_optimizer.py: 30 warnings

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 10 warnings

tests/unit/tf/core/test_aggregation.py: 6 warnings

tests/unit/tf/core/test_base.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 2 warnings

tests/unit/tf/core/test_index.py: 3 warnings

tests/unit/tf/core/test_prediction.py: 2 warnings

tests/unit/tf/inputs/test_continuous.py: 4 warnings

tests/unit/tf/inputs/test_embedding.py: 19 warnings

tests/unit/tf/inputs/test_tabular.py: 18 warnings

tests/unit/tf/models/test_base.py: 17 warnings

tests/unit/tf/models/test_benchmark.py: 2 warnings

tests/unit/tf/models/test_ranking.py: 36 warnings

tests/unit/tf/models/test_retrieval.py: 32 warnings

tests/unit/tf/outputs/test_base.py: 5 warnings

tests/unit/tf/outputs/test_classification.py: 6 warnings

tests/unit/tf/outputs/test_contrastive.py: 15 warnings

tests/unit/tf/outputs/test_regression.py: 2 warnings

tests/unit/tf/prediction_tasks/test_classification.py: 2 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 5 warnings

tests/unit/tf/transforms/test_features.py: 10 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 10 warnings

tests/unit/tf/utils/test_batch.py: 7 warnings

tests/unit/torch/block/test_base.py: 4 warnings

tests/unit/torch/block/test_mlp.py: 1 warning

tests/unit/torch/features/test_continuous.py: 1 warning

tests/unit/torch/features/test_embedding.py: 4 warnings

tests/unit/torch/features/test_tabular.py: 4 warnings

tests/unit/torch/model/test_head.py: 12 warnings

tests/unit/torch/model/test_model.py: 2 warnings

tests/unit/torch/tabular/test_aggregation.py: 6 warnings

tests/unit/torch/tabular/test_transformations.py: 2 warnings

tests/unit/xgb/test_xgboost.py: 17 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/datasets/test_entertainment.py: 1 warning

tests/unit/implicit/test_implicit.py: 1 warning

tests/unit/lightfm/test_lightfm.py: 1 warning

tests/unit/tf/test_loader.py: 1 warning

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py: 2 warnings

tests/unit/tf/blocks/retrieval/test_two_tower.py: 2 warnings

tests/unit/tf/core/test_combinators.py: 11 warnings

tests/unit/tf/core/test_encoder.py: 1 warning

tests/unit/tf/core/test_prediction.py: 1 warning

tests/unit/tf/inputs/test_continuous.py: 2 warnings

tests/unit/tf/inputs/test_embedding.py: 9 warnings

tests/unit/tf/inputs/test_tabular.py: 8 warnings

tests/unit/tf/models/test_ranking.py: 20 warnings

tests/unit/tf/models/test_retrieval.py: 4 warnings

tests/unit/tf/prediction_tasks/test_multi_task.py: 16 warnings

tests/unit/tf/prediction_tasks/test_regression.py: 3 warnings

tests/unit/tf/transforms/test_negative_sampling.py: 9 warnings

tests/unit/xgb/test_xgboost.py: 12 warnings

/usr/local/lib/python3.8/dist-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.SESSION_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.SESSION: 'session'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_matrix_factorization.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/blocks/retrieval/test_two_tower.py::test_matrix_factorization_embedding_export

tests/unit/tf/inputs/test_embedding.py::test_embedding_features_exporting_and_loading_pretrained_initializer

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/inputs/embedding.py:910: DeprecationWarning: This function is deprecated in favor of cupy.from_dlpack

embeddings_cupy = cupy.fromDlpack(to_dlpack(tf.convert_to_tensor(embeddings)))
tests/unit/tf/core/test_combinators.py::test_parallel_block_select_by_tags

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/core/tabular.py:614: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop working

elif isinstance(self.feature_names, collections.Sequence):
tests/unit/tf/core/test_index.py: 4 warnings

tests/unit/tf/models/test_retrieval.py: 54 warnings

tests/unit/tf/prediction_tasks/test_next_item.py: 3 warnings

tests/unit/tf/utils/test_batch.py: 2 warnings

/tmp/autograph_generated_file6t2dmh00.py:8: DeprecationWarning: The 'warn' method is deprecated, use 'warning' instead

ag.converted_call(ag__.ld(warnings).warn, ("The 'warn' method is deprecated, use 'warning' instead", ag__.ld(DeprecationWarning), 2), None, fscope)
tests/unit/tf/models/test_base.py::test_model_pre_post[True]

tests/unit/tf/models/test_base.py::test_model_pre_post[False]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.1]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.3]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.5]

tests/unit/tf/transforms/test_noise.py::test_stochastic_swap_noise[0.7]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/dispatch.py:1082: UserWarning: tf.keras.backend.random_binomial is deprecated, and will be removed in a future version.Please use tf.keras.backend.random_bernoulli instead.

return dispatch_target(*args, **kwargs)
tests/unit/tf/models/test_base.py::test_freeze_parallel_block[True]

tests/unit/tf/models/test_base.py::test_freeze_sequential_block

tests/unit/tf/models/test_base.py::test_freeze_unfreeze

tests/unit/tf/models/test_base.py::test_unfreeze_all_blocks

/usr/local/lib/python3.8/dist-packages/keras/optimizers/optimizer_v2/gradient_descent.py:108: UserWarning: The lr argument is deprecated, use learning_rate instead.

super(SGD, self).init(name, **kwargs)
tests/unit/tf/models/test_ranking.py::test_deepfm_model_only_categ_feats[False]

tests/unit/tf/models/test_ranking.py::test_deepfm_model_categ_and_continuous_feats[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_3/parallel_block_2/sequential_block_3/sequential_block_2/private__dense_1/dense_1/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_categorical_one_hot[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_model_hashed_cross[False]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_2/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[True]

tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/var/jenkins_home/workspace/merlin_models/models/merlin/models/tf/transforms/features.py:569: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_embedding_custom_inputblock[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/autograph/impl/api.py:371: UserWarning: Please make sure input features to be categorical, detect user_age has no categorical tag

return py_builtins.overload_of(f)(*args)
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_onehot_multihot_feature_interaction[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_5/sequential_block_9/sequential_block_8/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/tf/models/test_ranking.py::test_wide_deep_model_wide_feature_interaction_multi_optimizer[False]

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape_1:0", shape=(None,), dtype=int32), values=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Reshape:0", shape=(None, 1), dtype=float32), dense_shape=Tensor("gradient_tape/model/parallel_block_4/sequential_block_6/sequential_block_5/private__dense_3/dense_3/embedding_lookup_sparse/Cast:0", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.

warnings.warn(
tests/unit/torch/block/test_mlp.py::test_mlp_block

/var/jenkins_home/workspace/merlin_models/models/tests/unit/torch/_conftest.py:151: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return {key: torch.tensor(value) for key, value in data.items()}
tests/unit/xgb/test_xgboost.py::test_without_dask_client

tests/unit/xgb/test_xgboost.py::TestXGBoost::test_music_regression

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs0-DaskDeviceQuantileDMatrix]

tests/unit/xgb/test_xgboost.py::test_gpu_hist_dmatrix[fit_kwargs1-DaskDMatrix]

tests/unit/xgb/test_xgboost.py::TestEvals::test_multiple

tests/unit/xgb/test_xgboost.py::TestEvals::test_default

tests/unit/xgb/test_xgboost.py::TestEvals::test_train_and_valid

tests/unit/xgb/test_xgboost.py::TestEvals::test_invalid_data

/var/jenkins_home/workspace/merlin_models/models/merlin/models/xgb/init.py:338: UserWarning: Ignoring list columns as inputs to XGBoost model: ['item_genres', 'user_genres'].

warnings.warn(f"Ignoring list columns as inputs to XGBoost model: {list_column_names}.")
tests/unit/xgb/test_xgboost.py::TestXGBoost::test_unsupported_objective

/usr/local/lib/python3.8/dist-packages/tornado/ioloop.py:350: DeprecationWarning: make_current is deprecated; start the event loop first

self.make_current()
tests/unit/xgb/test_xgboost.py: 14 warnings

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/xgb/test_xgboost.py: 11 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1183: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.

mask = pd.Series(mask)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

=========================== short test summary info ============================

SKIPPED [1] tests/unit/datasets/test_advertising.py:20: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:62: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:78: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [1] tests/unit/datasets/test_ecommerce.py:92: ALI-CCP data is not available, pass it through env variable $DATA_PATH_ALICCP

SKIPPED [3] tests/unit/datasets/test_entertainment.py:44: No data-dir available, pass it through env variable $INPUT_DATA_DIR

SKIPPED [5] ../../../../../usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/test_util.py:2746: Not a test.

========= 699 passed, 12 skipped, 1061 warnings in 1034.13s (0:17:14) ==========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

CUDA_VISIBLE_DEVICES=1 python test_res_push.py "https://api.GitHub.com/repos/NVIDIA-Merlin/models/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_models] $ /bin/bash /tmp/jenkins5068865775316100853.sh

oliverholworthy · 2022-09-21T15:29:37Z

We can extend functionality to control the dmatrix type of the evals in a future PR if required.

… logs match result of evaluate (#682)" This reverts commit 489137e.

… logs match result of evaluate (#682)" (#762) This reverts commit 489137e.

oliverholworthy added 2 commits August 25, 2022 17:16

Add check for evals when using device quantile dmatrix with xgboost

f78dc6c

Always use DaskDMatrix for evals data (except when same as dtrain)

7fa51a6

oliverholworthy added the enhancement New feature or request label Aug 25, 2022

oliverholworthy added this to the Merlin 22.09 milestone Aug 25, 2022

oliverholworthy requested review from radekosmulski and rnyak August 25, 2022 16:48

oliverholworthy self-assigned this Aug 25, 2022

Merge branch 'main' into xgboost-evals-dmatrix

95de144

Merge branch 'main' into xgboost-evals-dmatrix

5ad403f

radekosmulski approved these changes Aug 30, 2022

View reviewed changes

Merge branch 'main' into xgboost-evals-dmatrix

d1ed6c1

Merge branch 'main' into xgboost-evals-dmatrix

dd3fde3

Merge branch 'main' into xgboost-evals-dmatrix

bdbc565

Merge branch 'main' into xgboost-evals-dmatrix

a5e495a

Merge branch 'main' into xgboost-evals-dmatrix

6982d93

Merge branch 'main' into xgboost-evals-dmatrix

3dc6ff6

oliverholworthy merged commit 489137e into NVIDIA-Merlin:main Sep 21, 2022

oliverholworthy added a commit that referenced this pull request Sep 22, 2022

Revert "XGBoost - Use DaskDMatrix for evals data to ensure metrics in…

61a0874

… logs match result of evaluate (#682)" This reverts commit 489137e.

oliverholworthy mentioned this pull request Sep 22, 2022

Revert "XGBoost - Use DaskDMatrix for evals data to ensure metrics in logs match result of evaluate" #762

Merged

oliverholworthy added a commit that referenced this pull request Sep 23, 2022

Revert "XGBoost - Use DaskDMatrix for evals data to ensure metrics in…

96f31b8

… logs match result of evaluate (#682)" (#762) This reverts commit 489137e.

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