Refactor Categorify #1692

rjzamora · 2022-10-11T17:49:04Z

Note: When ready, this PR should supersede #1687

Current Algorithm

The current Categorify implementation was not designed for extremely large datasets. It was also not designed to handle categorical columns containing too many unique values to fit in a single cudf.DataFrame. The problem with large-scale datasets is the fact that the fit code does not use a proper tree reduction. The problem with high-cardinality columns is the fact that all unique groups must be written to (and read from) disk using a single cudf.DataFrame.

In both cases, the fit stage of Categorify is what limits scalability the most. The existing fit algorithm is as follows:

For each Dask-DataFrame partition, we perform the "Level-1" groupby aggregation for each categorical column. The output of the "Level 1" task is a dictionary of cudf/pandas.DataFrame results. Each dictionary value corresponds to the local groupby result for a distinct categorical-column + column-hash combination. The number of hash-based "splits" to use for each categorical column depends on the tree_width argument. In the figure above, there is only one categorical column (for simplicity), and tree_width=3.
All "Level 1" outputs are combined by a distinct "Level 2" task for each unique categorical-column + column-hash combination. For the case above, where there is a single categorical column, the number of "Level 2" tasks is determined by tree_width. (Potential for OOM: Large-scale datasets may require that a significant amount of data be aggregated in each of these tasks - Even with a large tree_width setting)
All "Level 2" tasks for the same categorical column are combined by a distinct "Level 3" task. The number of "Level 3" tasks is equivalent to the number of categorical columns in the system (one in the case above). This task is responsible for writing out the final unique-value summary to disk for a specific categorical column. (Potential for OOM: High-cardinality columns will need to fit entirely in memory for these tasks to succeed).

New Algorithm

This PR modifies the existing Categorify algorithm in two important ways: First, we perform a "proper" tree reduction to avoid OOM errors for large-scale datasets. Second, we persist unique values as a directory of parquet files (rather than a single parquet file) for high-cardinality columns. The general algorithm for the new Categorify.fit is as follows:

Same as step 1 for the old algorithm.
We perform a seperate tree reduction for each distinct categorical-column + column-hash combination. Note that "Level 2" tasks are split into "Level 2(a, b, c, ...)" tasks (depending on the necessary height of the tree reduction).
Rather than combining all "Level 2" tasks into a single parquet file for each categorical column, we use the "Level 2" tasks to create a temporary Dask-DataFrame collection for each categorical column. Note that this is only done if the temporary collection is expected to contain more than one partition. If a temporary DataFrame collection is created, it is written to disk with ddf.to_parquet(..., compute=False), and the Delayed result is used in place of the "Level 2" keys as the "Level 3" task dependency.
The "Level 3" task will now (optionally) read the temporary DataFrame collection for a specific categorical columns from disk and then re-write the unique values to disk with a proper index, proper ordering, and a null-value.

Important limitations: The new algorithm will currently "fall back" to writing a single Parquet file for "complex" Categorify options (e.g. multi-column joint/combo encoding). The number of supported cases can certaibly be improved. However, the primary target for this PR is single-column encoding.

… directory

nvidia-merlin-bot · 2022-10-11T18:09:44Z

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GitHub pull request #1692 of commit a79a37e2979f11f10a0ad02af9711b466974a00f, no merge conflicts.
Running as SYSTEM
Setting status of a79a37e2979f11f10a0ad02af9711b466974a00f to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4748/ and message: 'Build started for merge commit.'
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Fetching upstream changes from https://github.com/NVIDIA-Merlin/NVTabular.git
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 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/NVTabular.git +refs/pull/1692/*:refs/remotes/origin/pr/1692/* # timeout=10
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Checking out Revision a79a37e2979f11f10a0ad02af9711b466974a00f (detached)
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Commit message: "uuse np.arange(... like)"
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[nvtabular_tests] $ /bin/bash /tmp/jenkins6871348817336990919.sh
GLOB sdist-make: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/setup.py
test-gpu create: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/.tmp/package/1/nvtabular-1.5.0+21.ga79a37e29.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: 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git+https://github.com/NVIDIA-Merlin/NVTabular.git@a79a37e2979f11f10a0ad02af9711b466974a00f#egg=nvtabular,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,pluggy==1.0.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-forked==1.4.0,pytest-xdist==2.5.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.9.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.2.3,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs 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test-gpu run-test-pre: PYTHONHASHSEED='156367538'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-2gphxscx
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  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 14a18dc0de5d5fd7737ecbadf9f6d7fa5d801b67
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Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.7.0+9.g14a18dc-py3-none-any.whl size=118253 sha256=50deeab28814e390243922ff18c7e10f9245f8fc8253231cf8b31d6a35b46721
  Stored in directory: /tmp/pip-ephem-wheel-cache-i6179l5j/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.7.0+9.g14a18dc
test-gpu run-test: commands[1] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-4.0.0
collected 1441 items / 1 skipped
tests/unit/test_dask_nvt.py ............................................ [  3%]

........................................................................ [  8%]

....                                                                     [  8%]

tests/unit/test_notebooks.py ....                                        [  8%]

tests/unit/test_tf4rec.py .                                              [  8%]

tests/unit/test_tools.py ......................                          [ 10%]

tests/unit/test_triton_inference.py ................................     [ 12%]

tests/unit/examples/test_01-Getting-started.py .                         [ 12%]

tests/unit/examples/test_02-Advanced-NVTabular-workflow.py .             [ 12%]

tests/unit/examples/test_03-Running-on-multiple-GPUs-or-on-CPU.py .      [ 12%]

tests/unit/framework_utils/test_tf_feature_columns.py .                  [ 12%]

tests/unit/framework_utils/test_tf_layers.py ........................... [ 14%]

...................................................                      [ 18%]

tests/unit/framework_utils/test_torch_layers.py .                        [ 18%]

tests/unit/loader/test_dataloader_backend.py ......                      [ 18%]

tests/unit/loader/test_tf_dataloader.py ................................ [ 20%]

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

tests/unit/loader/test_torch_dataloader.py ............................. [ 25%]

......................................................                   [ 29%]

tests/unit/ops/test_categorify.py ...................................... [ 32%]

........................................................................ [ 37%]

.....................................................                    [ 40%]

tests/unit/ops/test_column_similarity.py ........................        [ 42%]

tests/unit/ops/test_drop_low_cardinality.py ..                           [ 42%]

tests/unit/ops/test_fill.py ............................................ [ 45%]

........                                                                 [ 46%]

tests/unit/ops/test_groupyby.py .....................                    [ 47%]

tests/unit/ops/test_hash_bucket.py .........................             [ 49%]

tests/unit/ops/test_join.py ............................................ [ 52%]

........................................................................ [ 57%]

..................................                                       [ 59%]

tests/unit/ops/test_lambda.py ..........                                 [ 60%]

tests/unit/ops/test_normalize.py ....................................... [ 63%]

..                                                                       [ 63%]

tests/unit/ops/test_ops.py ............................................. [ 66%]

....................                                                     [ 67%]

tests/unit/ops/test_ops_schema.py ...................................... [ 70%]

........................................................................ [ 75%]

........................................................................ [ 80%]

........................................................................ [ 85%]

.......................................                                  [ 88%]

tests/unit/ops/test_reduce_dtype_size.py ..                              [ 88%]

tests/unit/ops/test_target_encode.py .....................               [ 89%]

tests/unit/workflow/test_cpu_workflow.py ......                          [ 90%]

tests/unit/workflow/test_workflow.py ................................... [ 92%]

..........................................................               [ 96%]

tests/unit/workflow/test_workflow_chaining.py ...                        [ 96%]

tests/unit/workflow/test_workflow_node.py ...........                    [ 97%]

tests/unit/workflow/test_workflow_ops.py ...                             [ 97%]

tests/unit/workflow/test_workflow_schemas.py ........................... [ 99%]

...                                                                      [100%]
=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)
.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)
nvtabular/loader/init.py:19

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to merlin.models.loader. Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlin.models.loader.

warnings.warn(
tests/unit/test_dask_nvt.py: 6 warnings

tests/unit/workflow/test_workflow.py: 78 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/dask/base.py:1282: UserWarning: Running on a single-machine scheduler when a distributed client is active might lead to unexpected results.

warnings.warn(
tests/unit/test_dask_nvt.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 8 files.

warnings.warn(
tests/unit/test_dask_nvt.py::test_merlin_core_execution_managers

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py:431: UserWarning: Existing Dask-client object detected in the current context. New cuda cluster will not be deployed. Set force_new to True to ignore running clusters.

warnings.warn(
tests/unit/loader/test_tf_dataloader.py: 2 warnings

tests/unit/loader/test_torch_dataloader.py: 12 warnings

tests/unit/workflow/test_workflow.py: 9 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 2 files.

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-True-True]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 304 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-True-False]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 240 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-False-True]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 288 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-False-False]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 160 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_fill.py::test_fill_missing[True-True-parquet]

tests/unit/ops/test_fill.py::test_fill_missing[True-False-parquet]

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)
tests/unit/ops/test_ops_schema.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-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/ops/test_ops_schema.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-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/workflow/test_cpu_workflow.py: 6 warnings

tests/unit/workflow/test_workflow.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 10 files.

warnings.warn(
tests/unit/workflow/test_workflow.py: 48 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 20 files.

warnings.warn(
tests/unit/workflow/test_workflow.py::test_parquet_output[True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_parquet_output[True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_parquet_output[True-None]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-None]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-None]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 4 files.

warnings.warn(
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                Stmts   Miss  Cover
merlin/transforms/init.py           1      1     0%

merlin/transforms/ops/init.py       1      1     0%
TOTAL                                   2      2     0%
=========================== short test summary info ============================

SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:14: could not import 'moto': No module named 'moto'

SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:529: needs horovod

========== 1440 passed, 2 skipped, 262 warnings in 1083.37s (0:18:03) ==========

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Data file '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.coverage.10.20.17.231.8838.853661' doesn't seem to be a coverage data file: cannot unpack non-iterable NoneType object

data._warn(str(exc))

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

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/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[nvtabular_tests] $ /bin/bash /tmp/jenkins15497597721057040107.sh

nvidia-merlin-bot · 2022-10-11T18:29:16Z

Click to view CI Results

GitHub pull request #1692 of commit 79886ef0e32859edcc0e9d840b45c14c268074f5, no merge conflicts.
Running as SYSTEM
Setting status of 79886ef0e32859edcc0e9d840b45c14c268074f5 to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4749/ and message: 'Build started for merge commit.'
Using context: Jenkins Unit Test Run
Building on master in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA-Merlin/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/NVTabular.git
 > 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/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/NVTabular.git
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/NVTabular.git +refs/pull/1692/*:refs/remotes/origin/pr/1692/* # timeout=10
 > git rev-parse 79886ef0e32859edcc0e9d840b45c14c268074f5^{commit} # timeout=10
Checking out Revision 79886ef0e32859edcc0e9d840b45c14c268074f5 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 79886ef0e32859edcc0e9d840b45c14c268074f5 # timeout=10
Commit message: "Merge branch 'main' into refactor-categorify-2"
 > git rev-list --no-walk a79a37e2979f11f10a0ad02af9711b466974a00f # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins15613217120649781849.sh
GLOB sdist-make: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/setup.py
test-gpu create: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/.tmp/package/1/nvtabular-1.5.0+23.g79886ef0e.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,awscli==1.25.90,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.27.89,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cloudpickle==2.2.0,cmake==3.24.1.1,colorama==0.4.4,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.7.1,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,-e git+https://github.com/NVIDIA-Merlin/NVTabular.git@79886ef0e32859edcc0e9d840b45c14c268074f5#egg=nvtabular,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,pluggy==1.0.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-forked==1.4.0,pytest-xdist==2.5.0,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.9.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.2.3,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.36,stack-data==0.5.0,starlette==0.20.4,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.6.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='620898182'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-zpu16iu7
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-zpu16iu7
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 14a18dc0de5d5fd7737ecbadf9f6d7fa5d801b67
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.7.0+9.g14a18dc) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.7.0+9.g14a18dc) (1.3.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.7.0+9.g14a18dc) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.7.0+9.g14a18dc) (7.0.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.7.0+9.g14a18dc) (2022.5.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.7.0+9.g14a18dc) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.7.0+9.g14a18dc) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.7.0+9.g14a18dc) (3.19.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.7.0+9.g14a18dc) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.7.0+9.g14a18dc) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.7.0+9.g14a18dc) (4.64.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (5.4.1)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (5.8.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (1.7.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (2.4.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.7.0+9.g14a18dc) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.7.0+9.g14a18dc) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.7.0+9.g14a18dc) (65.3.0)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.7.0+9.g14a18dc) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.7.0+9.g14a18dc) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.7.0+9.g14a18dc) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.7.0+9.g14a18dc) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.7.0+9.g14a18dc) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.7.0+9.g14a18dc) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.7.0+9.g14a18dc) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.7.0+9.g14a18dc) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.7.0+9.g14a18dc-py3-none-any.whl size=118253 sha256=b1346a6831e7bbadeb97888405cc54228b50abe4775e9a31f43a9c0cb619298e
  Stored in directory: /tmp/pip-ephem-wheel-cache-ob6nej2l/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.7.0+9.g14a18dc
test-gpu run-test: commands[1] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-2.5.0, forked-1.4.0, cov-4.0.0
collected 1441 items / 1 skipped
tests/unit/test_dask_nvt.py ............................................ [  3%]

........................................................................ [  8%]

....                                                                     [  8%]

tests/unit/test_notebooks.py ....                                        [  8%]

tests/unit/test_tf4rec.py .                                              [  8%]

tests/unit/test_tools.py ......................                          [ 10%]

tests/unit/test_triton_inference.py ................................     [ 12%]

tests/unit/examples/test_01-Getting-started.py .                         [ 12%]

tests/unit/examples/test_02-Advanced-NVTabular-workflow.py .             [ 12%]

tests/unit/examples/test_03-Running-on-multiple-GPUs-or-on-CPU.py .      [ 12%]

tests/unit/framework_utils/test_tf_feature_columns.py .                  [ 12%]

tests/unit/framework_utils/test_tf_layers.py ........................... [ 14%]

...................................................                      [ 18%]

tests/unit/framework_utils/test_torch_layers.py .                        [ 18%]

tests/unit/loader/test_dataloader_backend.py ......                      [ 18%]

tests/unit/loader/test_tf_dataloader.py ................................ [ 20%]

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

tests/unit/loader/test_torch_dataloader.py ............................. [ 25%]

......................................................                   [ 29%]

tests/unit/ops/test_categorify.py ...................................... [ 32%]

........................................................................ [ 37%]

.....................................................                    [ 40%]

tests/unit/ops/test_column_similarity.py ........................        [ 42%]

tests/unit/ops/test_drop_low_cardinality.py ..                           [ 42%]

tests/unit/ops/test_fill.py ............................................ [ 45%]

........                                                                 [ 46%]

tests/unit/ops/test_groupyby.py .....................                    [ 47%]

tests/unit/ops/test_hash_bucket.py .........................             [ 49%]

tests/unit/ops/test_join.py ............................................ [ 52%]

........................................................................ [ 57%]

..................................                                       [ 59%]

tests/unit/ops/test_lambda.py ..........                                 [ 60%]

tests/unit/ops/test_normalize.py ....................................... [ 63%]

..                                                                       [ 63%]

tests/unit/ops/test_ops.py ............................................. [ 66%]

....................                                                     [ 67%]

tests/unit/ops/test_ops_schema.py ...................................... [ 70%]

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.......................................                                  [ 88%]

tests/unit/ops/test_reduce_dtype_size.py ..                              [ 88%]

tests/unit/ops/test_target_encode.py .....................               [ 89%]

tests/unit/workflow/test_cpu_workflow.py ......                          [ 90%]

tests/unit/workflow/test_workflow.py ................................... [ 92%]

..........................................................               [ 96%]

tests/unit/workflow/test_workflow_chaining.py ...                        [ 96%]

tests/unit/workflow/test_workflow_node.py ...........                    [ 97%]

tests/unit/workflow/test_workflow_ops.py ...                             [ 97%]

tests/unit/workflow/test_workflow_schemas.py ........................... [ 99%]

...                                                                      [100%]
=============================== warnings summary ===============================

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)
.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)
nvtabular/loader/init.py:19

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to merlin.models.loader. Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlin.models.loader.

warnings.warn(
tests/unit/test_dask_nvt.py: 6 warnings

tests/unit/workflow/test_workflow.py: 78 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/dask/base.py:1282: UserWarning: Running on a single-machine scheduler when a distributed client is active might lead to unexpected results.

warnings.warn(
tests/unit/test_dask_nvt.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 8 files.

warnings.warn(
tests/unit/test_dask_nvt.py::test_merlin_core_execution_managers

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py:431: UserWarning: Existing Dask-client object detected in the current context. New cuda cluster will not be deployed. Set force_new to True to ignore running clusters.

warnings.warn(
tests/unit/loader/test_tf_dataloader.py: 2 warnings

tests/unit/loader/test_torch_dataloader.py: 12 warnings

tests/unit/workflow/test_workflow.py: 9 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 2 files.

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-True-True]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 304 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-True-False]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 240 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-False-True]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 288 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_categorify.py::test_categorify_size[24B-False-False]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/ops/categorify.py:1214: UserWarning: Category DataFrame (with columns: Index(['session_id', 'session_id_size'], dtype='object')) is 160 bytes in size. This is large compared to the suggested upper limit of 24 bytes!(12.5% of the total memory by default)

warnings.warn(
tests/unit/ops/test_fill.py::test_fill_missing[True-True-parquet]

tests/unit/ops/test_fill.py::test_fill_missing[True-False-parquet]

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)
tests/unit/ops/test_ops_schema.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-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/ops/test_ops_schema.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-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/workflow/test_cpu_workflow.py: 6 warnings

tests/unit/workflow/test_workflow.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 10 files.

warnings.warn(
tests/unit/workflow/test_workflow.py: 48 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 20 files.

warnings.warn(
tests/unit/workflow/test_workflow.py::test_parquet_output[True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_parquet_output[True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_parquet_output[True-None]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-None]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-None]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 4 files.

warnings.warn(
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                Stmts   Miss  Cover
merlin/transforms/init.py           1      1     0%

merlin/transforms/ops/init.py       1      1     0%
TOTAL                                   2      2     0%
=========================== short test summary info ============================

SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:14: could not import 'moto': No module named 'moto'

SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:529: needs horovod

========== 1440 passed, 2 skipped, 262 warnings in 1068.15s (0:17:48) ==========

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

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/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[nvtabular_tests] $ /bin/bash /tmp/jenkins11922725410530202878.sh

…VTabular into refactor-categorify-2

nvidia-merlin-bot · 2022-10-27T18:24:29Z

Click to view CI Results

GitHub pull request #1692 of commit d8455893cf8198953324236c70df277521b6108a, no merge conflicts.
Running as SYSTEM
Setting status of d8455893cf8198953324236c70df277521b6108a to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4762/ and message: 'Build started for merge commit.'
Using context: Jenkins Unit Test Run
Building on master in workspace /var/jenkins_home/workspace/nvtabular_tests
using credential nvidia-merlin-bot
Cloning the remote Git repository
Cloning repository https://github.com/NVIDIA-Merlin/NVTabular.git
 > git init /var/jenkins_home/workspace/nvtabular_tests/nvtabular # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/NVTabular.git
 > 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/NVTabular.git +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/NVTabular.git # timeout=10
 > git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/NVTabular.git # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/NVTabular.git
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/NVTabular.git +refs/pull/1692/*:refs/remotes/origin/pr/1692/* # timeout=10
 > git rev-parse d8455893cf8198953324236c70df277521b6108a^{commit} # timeout=10
Checking out Revision d8455893cf8198953324236c70df277521b6108a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f d8455893cf8198953324236c70df277521b6108a # timeout=10
Commit message: "improve test coverage"
 > git rev-list --no-walk 43381fbced6bcc08be660276c8f72d5b1d9c6029 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins7404145749028268135.sh
GLOB sdist-make: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/setup.py
test-gpu create: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/.tmp/package/1/nvtabular-1.6.0+22.gd8455893c.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,awscli==1.26.2,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.28.2,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cloudpickle==2.2.0,cmake==3.24.1.1,colorama==0.4.4,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,-e git+https://github.com/NVIDIA-Merlin/NVTabular.git@d8455893cf8198953324236c70df277521b6108a#egg=nvtabular,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,pluggy==1.0.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.9.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.36,stack-data==0.5.0,starlette==0.20.4,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3771611534'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-minx4e2t
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-minx4e2t
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 2c621a26a2b1b7ed786c99bd7c2790b9fc675098
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+3.g2c621a2) (2022.3.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+3.g2c621a2) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+3.g2c621a2) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+3.g2c621a2) (7.0.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+3.g2c621a2) (1.2.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+3.g2c621a2) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+3.g2c621a2) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+3.g2c621a2) (0.55.1)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.8.0+3.g2c621a2-py3-none-any.whl size=118254 sha256=67b6084de7dd068d8ac6efb760b652a9eeb85a64f9521e7f019212533d6a656c
  Stored in directory: /tmp/pip-ephem-wheel-cache-9xevb5sf/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+3.g2c621a2
[notice] A new release of pip available: 22.2.2 -> 22.3

[notice] To update, run: pip install --upgrade pip

test-gpu run-test: commands[1] | python -m pytest --cov-report term --cov merlin -rxs tests/unit

============================= test session starts ==============================

platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0

cachedir: .tox/test-gpu/.pytest_cache

rootdir: /var/jenkins_home/workspace/nvtabular_tests/nvtabular, configfile: pyproject.toml

plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0

collected 1447 items / 1 skipped
tests/unit/test_dask_nvt.py ............................................ [  3%]

........................................................................ [  8%]

....                                                                     [  8%]

tests/unit/test_notebooks.py ....                                        [  8%]

tests/unit/test_tf4rec.py .                                              [  8%]

tests/unit/test_tools.py ......................                          [ 10%]

tests/unit/test_triton_inference.py ................................     [ 12%]

tests/unit/examples/test_01-Getting-started.py .                         [ 12%]

tests/unit/examples/test_02-Advanced-NVTabular-workflow.py .             [ 12%]

tests/unit/examples/test_03-Running-on-multiple-GPUs-or-on-CPU.py .      [ 12%]

tests/unit/framework_utils/test_tf_feature_columns.py .                  [ 12%]

tests/unit/framework_utils/test_tf_layers.py ........................... [ 14%]

...................................................                      [ 18%]

tests/unit/framework_utils/test_torch_layers.py .                        [ 18%]

tests/unit/loader/test_dataloader_backend.py ......                      [ 18%]

tests/unit/loader/test_tf_dataloader.py ................................ [ 20%]

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

tests/unit/loader/test_torch_dataloader.py ............................. [ 25%]

......................................................                   [ 29%]

tests/unit/ops/test_categorify.py ...................................... [ 32%]

........................................................................ [ 37%]

.........................................................                [ 40%]

tests/unit/ops/test_column_similarity.py ........................        [ 42%]

tests/unit/ops/test_drop_low_cardinality.py ..                           [ 42%]

tests/unit/ops/test_fill.py ............................................ [ 45%]

........                                                                 [ 46%]

tests/unit/ops/test_groupyby.py .......................                  [ 47%]

tests/unit/ops/test_hash_bucket.py .........................             [ 49%]

tests/unit/ops/test_join.py ............................................ [ 52%]

........................................................................ [ 57%]

..................................                                       [ 60%]

tests/unit/ops/test_lambda.py ..........                                 [ 60%]

tests/unit/ops/test_normalize.py ....................................... [ 63%]

..                                                                       [ 63%]

tests/unit/ops/test_ops.py ............................................. [ 66%]

....................                                                     [ 68%]

tests/unit/ops/test_ops_schema.py ...................................... [ 70%]

........................................................................ [ 75%]

........................................................................ [ 80%]

........................................................................ [ 85%]

.......................................                                  [ 88%]

tests/unit/ops/test_reduce_dtype_size.py ..                              [ 88%]

tests/unit/ops/test_target_encode.py .....................               [ 89%]

tests/unit/workflow/test_cpu_workflow.py ......                          [ 90%]

tests/unit/workflow/test_workflow.py ................................... [ 92%]

........................................................F.               [ 96%]

tests/unit/workflow/test_workflow_chaining.py ...                        [ 96%]

tests/unit/workflow/test_workflow_node.py ...........                    [ 97%]

tests/unit/workflow/test_workflow_ops.py ...                             [ 97%]

tests/unit/workflow/test_workflow_schemas.py ........................... [ 99%]

...                                                                      [100%]
=================================== FAILURES ===================================

____________________________ test_horovod_multigpu _____________________________
tmpdir = local('/tmp/pytest-of-jenkins/pytest-1/test_horovod_multigpu0')
@pytest.mark.skipif(
    os.environ.get("NR_USER") is not None, reason="not working correctly in ci environment"
)
@pytest.mark.skipif(importlib.util.find_spec("horovod") is None, reason="needs horovod")
@pytest.mark.skipif(
    cupy and cupy.cuda.runtime.getDeviceCount() <= 1,
    reason="This unittest requires multiple gpu's to run",
)
def test_horovod_multigpu(tmpdir):
    json_sample = {
        "conts": {},
        "cats": {
            "genres": {
                "dtype": None,
                "cardinality": 50,
                "min_entry_size": 1,
                "max_entry_size": 5,
                "multi_min": 2,
                "multi_max": 4,
                "multi_avg": 3,
            },
            "movieId": {
                "dtype": None,
                "cardinality": 500,
                "min_entry_size": 1,
                "max_entry_size": 5,
            },
            "userId": {"dtype": None, "cardinality": 500, "min_entry_size": 1, "max_entry_size": 5},
        },
        "labels": {"rating": {"dtype": None, "cardinality": 2}},
    }
    cols = datagen._get_cols_from_schema(json_sample)
    df_gen = datagen.DatasetGen(datagen.UniformDistro(), gpu_frac=0.0001)
    target_path = os.path.join(tmpdir, "input/")
    os.mkdir(target_path)
    df_files = df_gen.full_df_create(10000, cols, output=target_path)
    # process them
    cat_features = nvt.ColumnSelector(["userId", "movieId", "genres"]) >> nvt.ops.Categorify()
    ratings = nvt.ColumnSelector(["rating"]) >> nvt.ops.LambdaOp(
        lambda col: (col > 3).astype("int8")
    )
    output = cat_features + ratings
    proc = nvt.Workflow(output)
    target_path_train = os.path.join(tmpdir, "train/")
    os.mkdir(target_path_train)
    proc.fit_transform(nvt.Dataset(df_files)).to_parquet(
        output_path=target_path_train, out_files_per_proc=5
    )
    # add new location
    target_path = os.path.join(tmpdir, "workflow/")
    os.mkdir(target_path)
    proc.save(target_path)
    curr_path = os.path.abspath(__file__)
    repo_root = os.path.relpath(os.path.normpath(os.path.join(curr_path, "../../../..")))
    hvd_wrap_path = os.path.join(repo_root, "examples/multi-gpu-movielens/hvd_wrapper.sh")
    hvd_exam_path = os.path.join(repo_root, "examples/multi-gpu-movielens/tf_trainer.py")


  with subprocess.Popen(


        [
            "horovodrun",
            "-np",
            "2",
            "-H",
            "localhost:2",
            "sh",
            hvd_wrap_path,
            "python",
            hvd_exam_path,
            "--dir_in",
            f"{tmpdir}",
            "--batch_size",
            "1024",
        ],
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE,
    ) as process:

tests/unit/loader/test_tf_dataloader.py:585:

/usr/lib/python3.8/subprocess.py:858: in init

self._execute_child(args, executable, preexec_fn, close_fds,

self = <subprocess.Popen object at 0x7fa115dd51c0>

args = ['horovodrun', '-np', '2', '-H', 'localhost:2', 'sh', ...]

executable = b'horovodrun', preexec_fn = None, close_fds = True, pass_fds = ()

cwd = None, env = None, startupinfo = None, creationflags = 0, shell = False

p2cread = -1, p2cwrite = -1, c2pread = 101, c2pwrite = 102, errread = 103

errwrite = 104, restore_signals = True, start_new_session = False
def _execute_child(self, args, executable, preexec_fn, close_fds,
                   pass_fds, cwd, env,
                   startupinfo, creationflags, shell,
                   p2cread, p2cwrite,
                   c2pread, c2pwrite,
                   errread, errwrite,
                   restore_signals, start_new_session):
    """Execute program (POSIX version)"""

    if isinstance(args, (str, bytes)):
        args = [args]
    elif isinstance(args, os.PathLike):
        if shell:
            raise TypeError('path-like args is not allowed when '
                            'shell is true')
        args = [args]
    else:
        args = list(args)

    if shell:
        # On Android the default shell is at '/system/bin/sh'.
        unix_shell = ('/system/bin/sh' if
                  hasattr(sys, 'getandroidapilevel') else '/bin/sh')
        args = [unix_shell, "-c"] + args
        if executable:
            args[0] = executable

    if executable is None:
        executable = args[0]

    sys.audit("subprocess.Popen", executable, args, cwd, env)

    if (_USE_POSIX_SPAWN
            and os.path.dirname(executable)
            and preexec_fn is None
            and not close_fds
            and not pass_fds
            and cwd is None
            and (p2cread == -1 or p2cread > 2)
            and (c2pwrite == -1 or c2pwrite > 2)
            and (errwrite == -1 or errwrite > 2)
            and not start_new_session):
        self._posix_spawn(args, executable, env, restore_signals,
                          p2cread, p2cwrite,
                          c2pread, c2pwrite,
                          errread, errwrite)
        return

    orig_executable = executable

    # For transferring possible exec failure from child to parent.
    # Data format: "exception name:hex errno:description"
    # Pickle is not used; it is complex and involves memory allocation.
    errpipe_read, errpipe_write = os.pipe()
    # errpipe_write must not be in the standard io 0, 1, or 2 fd range.
    low_fds_to_close = []
    while errpipe_write < 3:
        low_fds_to_close.append(errpipe_write)
        errpipe_write = os.dup(errpipe_write)
    for low_fd in low_fds_to_close:
        os.close(low_fd)
    try:
        try:
            # We must avoid complex work that could involve
            # malloc or free in the child process to avoid
            # potential deadlocks, thus we do all this here.
            # and pass it to fork_exec()

            if env is not None:
                env_list = []
                for k, v in env.items():
                    k = os.fsencode(k)
                    if b'=' in k:
                        raise ValueError("illegal environment variable name")
                    env_list.append(k + b'=' + os.fsencode(v))
            else:
                env_list = None  # Use execv instead of execve.
            executable = os.fsencode(executable)
            if os.path.dirname(executable):
                executable_list = (executable,)
            else:
                # This matches the behavior of os._execvpe().
                executable_list = tuple(
                    os.path.join(os.fsencode(dir), executable)
                    for dir in os.get_exec_path(env))
            fds_to_keep = set(pass_fds)
            fds_to_keep.add(errpipe_write)
            self.pid = _posixsubprocess.fork_exec(
                    args, executable_list,
                    close_fds, tuple(sorted(map(int, fds_to_keep))),
                    cwd, env_list,
                    p2cread, p2cwrite, c2pread, c2pwrite,
                    errread, errwrite,
                    errpipe_read, errpipe_write,
                    restore_signals, start_new_session, preexec_fn)
            self._child_created = True
        finally:
            # be sure the FD is closed no matter what
            os.close(errpipe_write)

        self._close_pipe_fds(p2cread, p2cwrite,
                             c2pread, c2pwrite,
                             errread, errwrite)

        # Wait for exec to fail or succeed; possibly raising an
        # exception (limited in size)
        errpipe_data = bytearray()
        while True:
            part = os.read(errpipe_read, 50000)
            errpipe_data += part
            if not part or len(errpipe_data) > 50000:
                break
    finally:
        # be sure the FD is closed no matter what
        os.close(errpipe_read)

    if errpipe_data:
        try:
            pid, sts = os.waitpid(self.pid, 0)
            if pid == self.pid:
                self._handle_exitstatus(sts)
            else:
                self.returncode = sys.maxsize
        except ChildProcessError:
            pass

        try:
            exception_name, hex_errno, err_msg = (
                    errpipe_data.split(b':', 2))
            # The encoding here should match the encoding
            # written in by the subprocess implementations
            # like _posixsubprocess
            err_msg = err_msg.decode()
        except ValueError:
            exception_name = b'SubprocessError'
            hex_errno = b'0'
            err_msg = 'Bad exception data from child: {!r}'.format(
                          bytes(errpipe_data))
        child_exception_type = getattr(
                builtins, exception_name.decode('ascii'),
                SubprocessError)
        if issubclass(child_exception_type, OSError) and hex_errno:
            errno_num = int(hex_errno, 16)
            child_exec_never_called = (err_msg == "noexec")
            if child_exec_never_called:
                err_msg = ""
                # The error must be from chdir(cwd).
                err_filename = cwd
            else:
                err_filename = orig_executable
            if errno_num != 0:
                err_msg = os.strerror(errno_num)


          raise child_exception_type(errno_num, err_msg, err_filename)


E               FileNotFoundError: [Errno 2] No such file or directory: 'horovodrun'
/usr/lib/python3.8/subprocess.py:1704: FileNotFoundError

______________________ test_workflow_transform_ddf_dtypes ______________________
@pytest.mark.skipif(not cudf, reason="needs cudf")
def test_workflow_transform_ddf_dtypes():
    # Initial Dataset
    dtypes = {"name": str, "id": int, "x": float, "y": float}


  df = cudf.datasets.timeseries(dtypes=dtypes).reset_index()


tests/unit/workflow/test_workflow.py:613:

/usr/local/lib/python3.8/dist-packages/cudf/datasets.py:67: in timeseries

gdf = cudf.from_pandas(df)

/usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py:101: in inner

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:6711: in from_pandas

return DataFrame.from_pandas(obj, nan_as_null=nan_as_null)

/usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py:101: in inner

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:4547: in from_pandas

df[col_name] = column.as_column(

/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py:1966: in as_column

data = as_column(

/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py:1760: in as_column

col = ColumnBase.from_arrow(arbitrary)

/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py:297: in from_arrow

result = libcudf.interop.from_arrow(data)[0]


???

E   MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /opt/rapids/rmm/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory

cudf/_lib/interop.pyx:150: MemoryError

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

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)
.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)
nvtabular/loader/init.py:19

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/loader/init.py:19: DeprecationWarning: The nvtabular.loader module has moved to merlin.models.loader. Support for importing from nvtabular.loader is deprecated, and will be removed in a future version. Please update your imports to refer to merlin.models.loader.

warnings.warn(
tests/unit/test_dask_nvt.py: 6 warnings

tests/unit/workflow/test_workflow.py: 77 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/dask/base.py:1282: UserWarning: Running on a single-machine scheduler when a distributed client is active might lead to unexpected results.

warnings.warn(
tests/unit/test_dask_nvt.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 8 files.

warnings.warn(
tests/unit/test_dask_nvt.py::test_merlin_core_execution_managers

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py:431: UserWarning: Existing Dask-client object detected in the current context. New cuda cluster will not be deployed. Set force_new to True to ignore running clusters.

warnings.warn(
tests/unit/loader/test_tf_dataloader.py::test_horovod_multigpu

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 5 files.

warnings.warn(
tests/unit/loader/test_tf_dataloader.py: 2 warnings

tests/unit/loader/test_torch_dataloader.py: 12 warnings

tests/unit/workflow/test_workflow.py: 9 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 2 files.

warnings.warn(
tests/unit/ops/test_fill.py::test_fill_missing[True-True-parquet]

tests/unit/ops/test_fill.py::test_fill_missing[True-False-parquet]

tests/unit/ops/test_ops.py::test_filter[parquet-0.1-True]

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning:

A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)
tests/unit/ops/test_ops_schema.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-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/ops/test_ops_schema.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-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/workflow/test_cpu_workflow.py: 6 warnings

tests/unit/workflow/test_workflow.py: 12 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 1 files did not have enough partitions to create 10 files.

warnings.warn(
tests/unit/workflow/test_workflow.py: 48 warnings

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 20 files.

warnings.warn(
tests/unit/workflow/test_workflow.py::test_parquet_output[True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_parquet_output[True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_parquet_output[True-None]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_workflow_apply[True-True-None]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-Shuffle.PER_WORKER]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-Shuffle.PER_PARTITION]

tests/unit/workflow/test_workflow.py::test_workflow_apply[False-True-None]

/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:862: UserWarning: Only created 2 files did not have enough partitions to create 4 files.

warnings.warn(
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                Stmts   Miss  Cover
merlin/transforms/init.py           1      1     0%

merlin/transforms/ops/init.py       1      1     0%
TOTAL                                   2      2     0%
=========================== short test summary info ============================

SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:14: could not import 'moto': No module named 'moto'

===== 2 failed, 1445 passed, 1 skipped, 258 warnings in 1156.11s (0:19:16) =====

/usr/local/lib/python3.8/dist-packages/coverage/control.py:801: CoverageWarning: No data was collected. (no-data-collected)

self._warn("No data was collected.", slug="no-data-collected")

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Couldn't use data file '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/.coverage.10.20.17.231.20685.800840': database disk image is malformed

data._warn(str(exc))

ERROR: InvocationError for command /var/jenkins_home/workspace/nvtabular_tests/nvtabular/.tox/test-gpu/bin/python -m pytest --cov-report term --cov merlin -rxs tests/unit (exited with code 1)

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

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/NVTabular/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[nvtabular_tests] $ /bin/bash /tmp/jenkins12080688404583274341.sh

…VTabular into refactor-categorify-2

rjzamora · 2023-03-23T20:11:27Z

nvtabular/ops/categorify.py

+        # Warn user if they set num_buckets without setting max_size or
+        # freq_threshold - This setting used to hash everything, but will
+        # now just use multiple indices for OOV encodings at transform time
+        if num_buckets and not (max_size or freq_threshold):
+            warnings.warn(
+                "You are setting num_buckets without using max_size or "
+                "freq_threshold to restrict the number of distinct "
+                "categories. Are you sure this is what you want?"
+            )


@rnyak - This is one detail I am still unsure about. I really don't want to make it easy for users to "hash everything" (what currently happens when the user only sets num_buckets). However, it is still strange for the user to *only set num_buckets (now for a slightly-different reason). My issue with the original behavior is that there is really no reason for Catogorify to be used at all for the case of "hash everything," because we are doing a lot of unnecessary work that can be accomplished by a simple lambda op.

@rjzamora I am ok to take num_buckets out of Categorify. So far, we dont know a Merlin user who only wants to use num_buckets (IIRC). Not sure anyone wants to really hash entire item catalog only with num_buckets.. then how they will reverse back to original ids is a question mark. but I leave the decision to you and @karlhigley. And as you said if this can be easily done with a lambda op, we can just do it that way.

I don't have any strong opinions here; removing it sounds fine to me.

I am ok to take num_buckets out of Categorify

Just to clarify, I'm not really proposing that we remove the num_buckets option, but that we slightly change it's meaning to only do what it used to do when max_size or freq_threshold was set:

OLD meaning: We hash everything, UNLESS max_size or freq_threshold is also set (in which case we use num_buckets to be the number of hash-buckets to use for infrequent OOV values at transformation time).

NEW meaning: We always take num_buckets to be the number of hash-buckets to use for infrequent OOV values at transformation time. Even if neither max_size nor freq_threshold is set, we will still use a hash+modulo for OOV values at transformation time if num_buckets>1.

rjzamora added 17 commits October 3, 2022 07:46

use dask.dataframe's aca

621b4dd

Merge remote-tracking branch 'upstream/main' into refactor-categorify

6e42a22

support on_host

c65b736

fix split-out (band-aid)

977363b

second attempt to refactor categorify

a012ea1

use temporary write

67c7d5d

save state - still need to figure out how to 'always' write cats to a…

4ba2f3f

… directory

using dask to write/read categories

60b00f2

use official dispatch

dc22a71

support multi-partition cats

3a8ec12

avoid manual bcast merge for single partition

8344aa3

clean up _to_parquet_dask a bit

d49630b

deprecate tree_width

8a4e395

fix split_out default

93557fc

update join_groupby and target_encoding options

1e8241a

improve split_out=1 performance

011909d

uuse np.arange(... like)

a79a37e

rjzamora added enhancement New feature or request MultiGPU Multi GPU support ops labels Oct 11, 2022

rjzamora mentioned this pull request Oct 11, 2022

[WIP] Refactor Categorify code to use Dask's ACA function #1687

Closed

2 tasks

Merge branch 'main' into refactor-categorify-2

79886ef

rjzamora mentioned this pull request Oct 18, 2022

[BUG] NVTabular runs into OOM or dies when scaling to large dataset #1683

Open

rjzamora added 3 commits October 21, 2022 10:28

Merge remote-tracking branch 'upstream/main' into refactor-categorify-2

660734c

Merge branch 'refactor-categorify-2' of https://github.com/rjzamora/N…

89adf74

…VTabular into refactor-categorify-2

improve test coverage

d845589

update docs

d6ef34a

rjzamora added 3 commits March 7, 2023 07:05

fix test_workflow.py

7ddf268

catch TypeError in dask sort

4bef601

fix single_table

bedd58e

rnyak mentioned this pull request Mar 14, 2023

[BUG] Categorify does not set non-frequent item mapping size in unique parquet file when max_size arg is set #1735

Closed

rjzamora added 4 commits March 21, 2023 08:52

Merge branch 'main' into refactor-categorify-2

9378ca0

Merge branch 'main' into refactor-categorify-2

e67e055

update documentation

59cbf87

Merge branch 'refactor-categorify-2' of https://github.com/rjzamora/N…

2779392

…VTabular into refactor-categorify-2

rjzamora marked this pull request as ready for review March 23, 2023 18:11

rjzamora commented Mar 23, 2023

View reviewed changes

Merge branch 'main' into refactor-categorify-2

5834f8c

karlhigley added this to the Merlin 23.04 milestone Apr 4, 2023

Merge branch 'main' into refactor-categorify-2

e98b163

karlhigley modified the milestones: Merlin 23.04, Merlin 23.05 Apr 11, 2023

viswa-nvidia mentioned this pull request May 9, 2023

[RMP] Support pre-trained vector embeddings as input features into a model via the dataloader NVIDIA-Merlin/Merlin#211

Closed

33 tasks

Merge remote-tracking branch 'upstream/main' into refactor-categorify-2

983bb7c

viswa-nvidia modified the milestones: Merlin 23.05, Merlin 23.06 May 17, 2023

rjzamora added 3 commits May 30, 2023 11:13

Merge remote-tracking branch 'upstream/main' into refactor-categorify-2

aa98b37

cpp experiment

2df007c

missing parentheses

e3e31f9

jperez999 approved these changes May 30, 2023

View reviewed changes

jperez999 merged commit 6dd49c9 into NVIDIA-Merlin:main May 30, 2023
6 checks passed

rjzamora deleted the refactor-categorify-2 branch May 31, 2023 13:24

oliverholworthy mentioned this pull request Jun 5, 2023

Remove use of deprecated start_index from Categorify NVIDIA-Merlin/models#1134

Merged

nv-alaiacano added the breaking Breaking change label Jun 5, 2023

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Refactor Categorify #1692

Refactor Categorify #1692

rjzamora commented Oct 11, 2022 •

edited

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nvidia-merlin-bot commented Oct 11, 2022

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0%
merlin/transforms/ops/init.py 1 1 0%

nvidia-merlin-bot commented Oct 11, 2022

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0%
merlin/transforms/ops/init.py 1 1 0%

nvidia-merlin-bot commented Oct 27, 2022

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0%
merlin/transforms/ops/init.py 1 1 0%

rjzamora Mar 23, 2023

rnyak Mar 28, 2023 •

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karlhigley Mar 31, 2023

rjzamora Apr 3, 2023

Refactor Categorify #1692

Refactor Categorify #1692

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rjzamora commented Oct 11, 2022 • edited Loading

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nvidia-merlin-bot commented Oct 11, 2022

---------- coverage: platform linux, python 3.8.10-final-0 ----------- Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0% merlin/transforms/ops/init.py 1 1 0%

nvidia-merlin-bot commented Oct 11, 2022

---------- coverage: platform linux, python 3.8.10-final-0 ----------- Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0% merlin/transforms/ops/init.py 1 1 0%

nvidia-merlin-bot commented Oct 27, 2022

---------- coverage: platform linux, python 3.8.10-final-0 ----------- Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0% merlin/transforms/ops/init.py 1 1 0%

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rjzamora commented Oct 11, 2022 •

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---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0%
merlin/transforms/ops/init.py 1 1 0%

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0%
merlin/transforms/ops/init.py 1 1 0%

---------- coverage: platform linux, python 3.8.10-final-0 -----------
Name Stmts Miss Cover

merlin/transforms/init.py 1 1 0%
merlin/transforms/ops/init.py 1 1 0%

rnyak Mar 28, 2023 •

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