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remove nvtabular triton backend that seg faults on termination. #1576

Merged
merged 4 commits into from
Jun 8, 2022
Merged

remove nvtabular triton backend that seg faults on termination. #1576

merged 4 commits into from
Jun 8, 2022

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jperez999
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this causes a hang during testing.

@nvidia-merlin-bot
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GitHub pull request #1576 of commit 72798a8ba64c6b9d5914b717f1fd330f189347fe, has merge conflicts.
Running as SYSTEM
Setting status of 72798a8ba64c6b9d5914b717f1fd330f189347fe to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4501/ and message: 'Build started for original 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/1576/*:refs/remotes/origin/pr/1576/* # timeout=10
 > git rev-parse 72798a8ba64c6b9d5914b717f1fd330f189347fe^{commit} # timeout=10
Checking out Revision 72798a8ba64c6b9d5914b717f1fd330f189347fe (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 72798a8ba64c6b9d5914b717f1fd330f189347fe # timeout=10
Commit message: "remove use of nvtabular backend, segfaults on termination"
 > git rev-list --no-walk ea51e949aa29f1bdd9f3c484f63fd2cf8e408549 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins16169967358445842548.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting setuptools
  Downloading setuptools-62.3.3-py3-none-any.whl (1.2 MB)
/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
ERROR: cudf 22.2.0 requires cupy-cuda116, which is not installed.
ERROR: dask-cudf 22.2.0 requires cupy-cuda116, which is not installed.
ERROR: google-auth 1.35.0 has requirement cachetools<5.0,>=2.0.0, but you'll have cachetools 5.1.0 which is incompatible.
ERROR: tensorflow-gpu 2.9.1 has requirement tensorboard<2.10,>=2.9, but you'll have tensorboard 2.6.0 which is incompatible.
ERROR: merlin-systems 0.2.0+10.g8393bbc has requirement nvtabular>=1.0.0, but you'll have nvtabular 0.11.0+45.gb5ad34c which is incompatible.
Installing collected packages: setuptools
  Attempting uninstall: setuptools
    Found existing installation: setuptools 62.3.2
    Uninstalling setuptools-62.3.2:
      Successfully uninstalled setuptools-62.3.2
Successfully installed setuptools-62.3.3
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (22.1.2)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (62.3.3)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.1)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.9.2)
Requirement already satisfied: numpy==1.20.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (1.20.3)
Found existing installation: nvtabular 0.11.0+45.gb5ad34c
Uninstalling nvtabular-0.11.0+45.gb5ad34c:
  Successfully uninstalled nvtabular-0.11.0+45.gb5ad34c
Found existing installation: merlin-core 0.3.0+9.g136f688
Uninstalling merlin-core-0.3.0+9.g136f688:
  Successfully uninstalled merlin-core-0.3.0+9.g136f688
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-install-uyueovjc/merlin-core_6ecb4a6d7caa4eb59fe037e78af32d94
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-install-uyueovjc/merlin-core_6ecb4a6d7caa4eb59fe037e78af32d94
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 136f68835663770cd7c1b476c268ae58553617ff
  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: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.19.4)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (4.64.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.8.0)
Requirement already satisfied: dask>=2021.11.2 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2021.11.2)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (6.0.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2021.11.2)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.2.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.4.2)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.2.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.11.2)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.1.0)
Requirement already satisfied: pyyaml in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (5.4.1)
Requirement already satisfied: fsspec>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2022.5.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.7.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.0.3)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (6.1)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.0.0)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (62.3.3)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (8.0.4)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.4.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (5.8.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.0.3)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in /usr/local/lib/python3.8/dist-packages (from numba>=0.54->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2022.1)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (2.8.2)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (1.0.0)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (1.56.1)
Requirement already satisfied: six in /var/jenkins_home/.local/lib/python3.8/site-packages (from absl-py<2.0.0,>=0.9->tensorflow-metadata>=1.2.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.15.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.2.1)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.0.1)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (6.0.1)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (4.0.0)
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-0.3.0+9.g136f688-py3-none-any.whl size=109489 sha256=c602137072376f28fcb76cc37e8fa94ab8ef2984e4aba0a65f232546eb403daa
  Stored in directory: /tmp/pip-ephem-wheel-cache-emieyn9c/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.2.0+3.g9f37373
    Uninstalling merlin-core-0.2.0+3.g9f37373:
      Successfully uninstalled merlin-core-0.2.0+3.g9f37373
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
merlin-systems 0.2.0+10.g8393bbc requires nvtabular>=1.0.0, but you have nvtabular 0.11.0+44.g50eb7ef which is incompatible.
Successfully installed merlin-core-0.3.0+9.g136f688
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: natsort==8.1.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (8.1.0)
Requirement already satisfied: myst-nb<0.14 in /var/jenkins_home/.local/lib/python3.8/site-packages (0.13.2)
Requirement already satisfied: linkify-it-py<1.1 in /var/jenkins_home/.local/lib/python3.8/site-packages (1.0.3)
Requirement already satisfied: sphinx-external-toc<0.4 in /var/jenkins_home/.local/lib/python3.8/site-packages (0.3.0)
Requirement already satisfied: ipython in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (8.4.0)
Requirement already satisfied: sphinx<5,>=3.1 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (3.5.4)
Requirement already satisfied: ipywidgets<8,>=7.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (7.7.0)
Requirement already satisfied: docutils<0.18,>=0.15 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (0.16)
Requirement already satisfied: nbconvert<7,>=5.6 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (6.5.0)
Requirement already satisfied: jupyter-cache~=0.4.1 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.4.3)
Requirement already satisfied: myst-parser~=0.15.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.15.2)
Requirement already satisfied: sphinx-togglebutton~=0.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.3.1)
Requirement already satisfied: jupyter-sphinx~=0.3.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.3.2)
Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (4.11.4)
Requirement already satisfied: pyyaml in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from myst-nb<0.14) (5.4.1)
Requirement already satisfied: nbformat~=5.0 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (5.4.0)
Requirement already satisfied: uc-micro-py in /var/jenkins_home/.local/lib/python3.8/site-packages (from linkify-it-py<1.1) (1.0.1)
Requirement already satisfied: click<9,>=7.1 in /usr/local/lib/python3.8/dist-packages (from sphinx-external-toc<0.4) (8.0.4)
Requirement already satisfied: widgetsnbextension~=3.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from ipywidgets<8,>=7.0.0->myst-nb<0.14) (3.6.0)
Requirement already satisfied: ipykernel>=4.5.1 in /usr/local/lib/python3.8/dist-packages (from ipywidgets<8,>=7.0.0->myst-nb<0.14) (6.13.1)
Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from ipywidgets<8,>=7.0.0->myst-nb<0.14) (1.1.0)
Requirement already satisfied: ipython-genutils~=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from ipywidgets<8,>=7.0.0->myst-nb<0.14) (0.2.0)
Requirement already satisfied: traitlets>=4.3.1 in /usr/local/lib/python3.8/dist-packages (from ipywidgets<8,>=7.0.0->myst-nb<0.14) (5.2.2.post1)
Requirement already satisfied: backcall in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.2.0)
Requirement already satisfied: decorator in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (5.1.1)
Requirement already satisfied: pickleshare in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.7.5)
Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.1.3)
Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (4.8.0)
Requirement already satisfied: pygments>=2.4.0 in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (2.12.0)
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (3.0.29)
Requirement already satisfied: jedi>=0.16 in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.18.1)
Requirement already satisfied: stack-data in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.2.0)
Requirement already satisfied: setuptools>=18.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from ipython->myst-nb<0.14) (62.3.3)
Requirement already satisfied: sqlalchemy<1.5,>=1.3.12 in /var/jenkins_home/.local/lib/python3.8/site-packages (from jupyter-cache~=0.4.1->myst-nb<0.14) (1.4.36)
Requirement already satisfied: nbdime in /var/jenkins_home/.local/lib/python3.8/site-packages (from jupyter-cache~=0.4.1->myst-nb<0.14) (3.1.1)
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting sphinxcontrib-copydirs@ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git
  Cloning https://github.com/mikemckiernan/sphinxcontrib-copydirs.git to /tmp/pip-install-mbdnvcos/sphinxcontrib-copydirs_c6e269d2c56b43c18ed61b76afb5bbf1
  Running command git clone --filter=blob:none --quiet https://github.com/mikemckiernan/sphinxcontrib-copydirs.git /tmp/pip-install-mbdnvcos/sphinxcontrib-copydirs_c6e269d2c56b43c18ed61b76afb5bbf1
  Resolved https://github.com/mikemckiernan/sphinxcontrib-copydirs.git to commit bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: pbr in /usr/local/lib/python3.8/dist-packages (from sphinxcontrib-copydirs@ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git) (5.9.0)
running develop
running build_py
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
creating build
creating build/lib.linux-x86_64-cpython-38
creating build/lib.linux-x86_64-cpython-38/tests
copying tests/conftest.py -> build/lib.linux-x86_64-cpython-38/tests
copying tests/__init__.py -> build/lib.linux-x86_64-cpython-38/tests
creating build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/io.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/_version.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/graph.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/dispatch.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/worker.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular
creating build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_triton_inference.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_dask_nvt.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_tf4rec.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_s3.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_tools.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/__init__.py -> build/lib.linux-x86_64-cpython-38/tests/unit
creating build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/tensorflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/torch.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/backend.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/tf_utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference
copying nvtabular/inference/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils
copying nvtabular/framework_utils/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils
creating build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/inspector_script.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/dataset_inspector.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/data_gen.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
creating build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/data_stats.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/stat_operator.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/clip.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/groupby.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/target_encoding.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/add_metadata.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/logop.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/hashed_cross.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/categorify.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/rename.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/drop_low_cardinality.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/list_slice.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/hash_bucket.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/fill.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/dropna.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/lambdaop.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/value_counts.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/operator.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/normalize.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/filter.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/join_external.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/join_groupby.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/moments.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/reduce_dtype_size.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/difference_lag.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/bucketize.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/column_similarity.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
creating build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/node.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/workflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/benchmarking_tools.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/model_config_util.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/model_config_pb2.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/workflow_model.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/ensemble.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/data_conversions.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/tensorflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/base.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/hugectr.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/pytorch.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
copying nvtabular/inference/triton/model/model_pt.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
copying nvtabular/inference/triton/model/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/feature_column_utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/models.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/outer_product.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/embedding.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/interaction.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
copying nvtabular/framework_utils/torch/layers/embeddings.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
copying nvtabular/framework_utils/torch/layers/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
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creating build/lib.linux-x86_64-cpython-38/bench
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creating build/lib.linux-x86_64-cpython-38/bench/datasets
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copying bench/examples/dataloader_bench.py -> build/lib.linux-x86_64-cpython-38/bench/examples
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creating build/lib.linux-x86_64-cpython-38/bench/datasets/tools
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copying bench/datasets/tools/train_pytorch.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/nvt_etl.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
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creating build/lib.linux-x86_64-cpython-38/merlin
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copying merlin/transforms/__init__.py -> build/lib.linux-x86_64-cpython-38/merlin/transforms
creating build/lib.linux-x86_64-cpython-38/merlin/transforms/ops
copying merlin/transforms/ops/__init__.py -> build/lib.linux-x86_64-cpython-38/merlin/transforms/ops
package init file 'examples/tensorflow/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/examples
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creating build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
copying examples/multi-gpu-movielens/tf_trainer.py -> build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
copying examples/multi-gpu-movielens/torch_trainer_dist.py -> build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
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creating build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_nvt_tf_inference.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_inf_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_nvt_hugectr.py -> build/lib.linux-x86_64-cpython-38/tests/integration
package init file 'tests/integration/common/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration/common
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package init file 'tests/integration/common/parsers/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
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copying tests/integration/common/parsers/rossmann_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/criteo_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
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copying tests/unit/loader/test_tf_dataloader.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_torch_dataloader.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
package init file 'tests/unit/framework_utils/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_tf_feature_columns.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_tf_layers.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_torch_layers.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
package init file 'tests/unit/ops/__init__.py' not found (or not a regular file)
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copying tests/unit/ops/test_fill.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_lambda.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_categorify.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_ops_schema.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_drop_low_cardinality.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_target_encode.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_groupyby.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_column_similarity.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
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copying tests/unit/ops/test_normalize.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
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package init file 'tests/unit/workflow/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/workflow
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copying tests/unit/workflow/test_cpu_workflow.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_schemas.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_node.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_chaining.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
package init file 'conda/environments/__init__.py' not found (or not a regular file)
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running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
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writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build/temp.linux-x86_64-cpython-38
creating build/temp.linux-x86_64-cpython-38/cpp
creating build/temp.linux-x86_64-cpython-38/cpp/nvtabular
creating build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+9.g72798a8ba -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+9.g72798a8ba -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+9.g72798a8ba -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+9.g72798a8ba -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 build/temp.linux-x86_64-cpython-38/cpp/nvtabular/__init__.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/fill.o -L/usr/lib -o build/lib.linux-x86_64-cpython-38/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-cpython-38/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 1.1.1+9.g72798a8ba is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular

Running black --check

All done! ✨ 🍰 ✨

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Running flake8

Running isort

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Running bandit

Running pylint




Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)


Running flake8-nb

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INFO:traitlets:Writing 33764 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/tabular-data-rossmann/02-ETL-with-NVTabular.ipynb

INFO:traitlets:Writing 19635 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/tabular-data-rossmann/03-Training-with-FastAI.ipynb

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make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'

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

platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0

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-3.0.0

collected 1420 items / 1 skipped


tests/unit/test_dask_nvt.py ............................................ [  3%]

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

[  8%]

tests/unit/test_notebooks.py ...F


=================================== FAILURES ===================================

____________________________ test_movielens_example ____________________________


tmpdir = local('/tmp/pytest-of-jenkins/pytest-15/test_movielens_example0')


def test_movielens_example(tmpdir):
    _get_random_movielens_data(tmpdir, 10000, dataset="movie")
    _get_random_movielens_data(tmpdir, 10000, dataset="ratings")
    _get_random_movielens_data(tmpdir, 5000, dataset="ratings", valid=True)

    triton_model_path = os.path.join(tmpdir, "models")
    os.environ["INPUT_DATA_DIR"] = str(tmpdir)
    os.environ["MODEL_PATH"] = triton_model_path

    notebook_path = os.path.join(
        dirname(TEST_PATH),
        "examples/getting-started-movielens/",
        "02-ETL-with-NVTabular.ipynb",
    )
    _run_notebook(tmpdir, notebook_path)

    def _modify_tf_nb(line):
        return line.replace(
            # don't require graphviz/pydot
            "tf.keras.utils.plot_model(model)",
            "# tf.keras.utils.plot_model(model)",
        )

    def _modify_tf_triton(line):
        # models are already preloaded
        line = line.replace("triton_client.load_model", "# triton_client.load_model")
        line = line.replace("triton_client.unload_model", "# triton_client.unload_model")
        return line

    notebooks = []
    try:
        import torch  # noqa

        notebooks.append("03-Training-with-PyTorch.ipynb")
    except Exception:
        pass
    try:
        import nvtabular.inference.triton  # noqa
        import nvtabular.loader.tensorflow  # noqa

        notebooks.append("03-Training-with-TF.ipynb")
        has_tf = True

    except Exception:
        has_tf = False

    for notebook in notebooks:
        notebook_path = os.path.join(
            dirname(TEST_PATH),
            "examples/getting-started-movielens/",
            notebook,
        )
        if notebook == "03-Training-with-TF.ipynb":





          _run_notebook(tmpdir, notebook_path, transform=_modify_tf_nb)





tests/unit/test_notebooks.py:211:




tests/unit/test_notebooks.py:307: in _run_notebook

subprocess.check_output([sys.executable, script_path])

/usr/lib/python3.8/subprocess.py:415: in check_output

return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,




input = None, capture_output = False, timeout = None, check = True

popenargs = (['/usr/bin/python3', '/tmp/pytest-of-jenkins/pytest-15/test_movielens_example0/notebook.py'],)

kwargs = {'stdout': -1}, process = <subprocess.Popen object at 0x7f60a011f310>

stdout = b"\r1/1 [==============================] - ETA: 0s - loss: 0.6956{'val_loss': 0.63512594}\n\x08\x08\x08\x08\x08\x08\x0... - loss: 0.6956 - val_loss: 0.6351\nrun_time: 1.7605881690979004 - rows: 6 - epochs: 1 - dl_thru: 3.4079520158733727\n"

stderr = None, retcode = 1


def run(*popenargs,
        input=None, capture_output=False, timeout=None, check=False, **kwargs):
    """Run command with arguments and return a CompletedProcess instance.

    The returned instance will have attributes args, returncode, stdout and
    stderr. By default, stdout and stderr are not captured, and those attributes
    will be None. Pass stdout=PIPE and/or stderr=PIPE in order to capture them.

    If check is True and the exit code was non-zero, it raises a
    CalledProcessError. The CalledProcessError object will have the return code
    in the returncode attribute, and output & stderr attributes if those streams
    were captured.

    If timeout is given, and the process takes too long, a TimeoutExpired
    exception will be raised.

    There is an optional argument "input", allowing you to
    pass bytes or a string to the subprocess's stdin.  If you use this argument
    you may not also use the Popen constructor's "stdin" argument, as
    it will be used internally.

    By default, all communication is in bytes, and therefore any "input" should
    be bytes, and the stdout and stderr will be bytes. If in text mode, any
    "input" should be a string, and stdout and stderr will be strings decoded
    according to locale encoding, or by "encoding" if set. Text mode is
    triggered by setting any of text, encoding, errors or universal_newlines.

    The other arguments are the same as for the Popen constructor.
    """
    if input is not None:
        if kwargs.get('stdin') is not None:
            raise ValueError('stdin and input arguments may not both be used.')
        kwargs['stdin'] = PIPE

    if capture_output:
        if kwargs.get('stdout') is not None or kwargs.get('stderr') is not None:
            raise ValueError('stdout and stderr arguments may not be used '
                             'with capture_output.')
        kwargs['stdout'] = PIPE
        kwargs['stderr'] = PIPE

    with Popen(*popenargs, **kwargs) as process:
        try:
            stdout, stderr = process.communicate(input, timeout=timeout)
        except TimeoutExpired as exc:
            process.kill()
            if _mswindows:
                # Windows accumulates the output in a single blocking
                # read() call run on child threads, with the timeout
                # being done in a join() on those threads.  communicate()
                # _after_ kill() is required to collect that and add it
                # to the exception.
                exc.stdout, exc.stderr = process.communicate()
            else:
                # POSIX _communicate already populated the output so
                # far into the TimeoutExpired exception.
                process.wait()
            raise
        except:  # Including KeyboardInterrupt, communicate handled that.
            process.kill()
            # We don't call process.wait() as .__exit__ does that for us.
            raise
        retcode = process.poll()
        if check and retcode:





          raise CalledProcessError(retcode, process.args,





                                     output=stdout, stderr=stderr)



E               subprocess.CalledProcessError: Command '['/usr/bin/python3', '/tmp/pytest-of-jenkins/pytest-15/test_movielens_example0/notebook.py']' returned non-zero exit status 1.


/usr/lib/python3.8/subprocess.py:516: CalledProcessError

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

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1292: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1292: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(

2022-06-08 16:24:19.519837: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

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

2022-06-08 16:24:20.514126: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1627 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-06-08 16:24:20.514846: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14548 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1292: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(

WARNING:absl:Function _wrapped_model contains input name(s) movieId, userId with unsupported characters which will be renamed to movieid, userid in the SavedModel.

WARNING:absl:<nvtabular.framework_utils.tensorflow.layers.embedding.DenseFeatures object at 0x7fee9d0a8370> has the same name 'DenseFeatures' as a built-in Keras object. Consider renaming <class 'nvtabular.framework_utils.tensorflow.layers.embedding.DenseFeatures'> to avoid naming conflicts when loading with tf.keras.models.load_model. If renaming is not possible, pass the object in the custom_objects parameter of the load function.

WARNING:absl:Function _wrapped_model contains input name(s) movieId, userId with unsupported characters which will be renamed to movieid, userid in the SavedModel.

WARNING:absl:<nvtabular.framework_utils.tensorflow.layers.embedding.DenseFeatures object at 0x7fee9d0a8370> has the same name 'DenseFeatures' as a built-in Keras object. Consider renaming <class 'nvtabular.framework_utils.tensorflow.layers.embedding.DenseFeatures'> to avoid naming conflicts when loading with tf.keras.models.load_model. If renaming is not possible, pass the object in the custom_objects parameter of the load function.

Traceback (most recent call last):

File "/tmp/pytest-of-jenkins/pytest-15/test_movielens_example0/notebook.py", line 127, in 

export_tensorflow_ensemble(model, workflow, MODEL_NAME_ENSEMBLE, MODEL_PATH, ["rating"])

File "/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/inference/triton/ensemble.py", line 86, in export_tensorflow_ensemble

tf_dtype = _triton_datatype_to_dtype(column.data_type)

File "/var/jenkins_home/workspace/nvtabular_tests/nvtabular/nvtabular/inference/triton/ensemble.py", line 793, in _triton_datatype_to_dtype

name = model_config._DATATYPE.values[data_type].name[5:].lower()

AttributeError: module 'nvtabular.inference.triton.model_config_util' has no attribute '_DATATYPE'

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

../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:32

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:32: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


../../../.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:351: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:351: 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::test_cats_and_groupby_stats[False-0.01]

tests/unit/test_dask_nvt.py::test_cats_and_groupby_stats[False-0.01]

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1292: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(


tests/unit/test_dask_nvt.py: 12 warnings

/var/jenkins_home/.local/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/.local/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/test_notebooks.py: 18 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:3235: DeprecationWarning: Series.ceil and DataFrame.ceil are deprecated and will be                 removed in the future

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 Branch BrPart  Cover   Missing


nvtabular/init.py                                             22      0      0      0   100%

nvtabular/dispatch.py                                              3      3      0      0     0%   18-23

nvtabular/framework_utils/init.py                              2      0      0      0   100%

nvtabular/framework_utils/tensorflow/init.py                   1      0      0      0   100%

nvtabular/framework_utils/tensorflow/feature_column_utils.py     134    125     90      0     4%   28-32, 69-286

nvtabular/framework_utils/tensorflow/layers/init.py            4      0      0      0   100%

nvtabular/framework_utils/tensorflow/layers/embedding.py         153     86     89     10    40%   31-32, 39, 51-60, 68-69, 73-75, 79-93, 119-124, 177, 179, 193, 205, 217-218, 227, 231-239, 249-265, 307-311, 314-344, 347-360, 363-364, 367

nvtabular/framework_utils/tensorflow/layers/interaction.py        47     39     22      0    14%   48-52, 55-71, 74-103, 106-110, 113

nvtabular/framework_utils/tensorflow/layers/outer_product.py      30     24     12      0    19%   37-38, 41-60, 71-84, 87

nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py      58     58     30      0     0%   16-111

nvtabular/framework_utils/torch/init.py                        0      0      0      0   100%

nvtabular/framework_utils/torch/layers/init.py                 2      0      0      0   100%

nvtabular/framework_utils/torch/layers/embeddings.py              32      3     18      3    88%   39, 50, 91

nvtabular/framework_utils/torch/models.py                         45      4     30     10    81%   55->57, 57->61, 61->63, 66->68, 87->89, 89->93, 93->96, 97-98, 103, 108

nvtabular/framework_utils/torch/utils.py                          75     10     34      8    83%   51->53, 54, 64, 71->76, 75, 109, 118-120, 129-131

nvtabular/graph.py                                                 3      3      0      0     0%   18-23

nvtabular/inference/init.py                                    2      0      0      0   100%

nvtabular/inference/triton/init.py                            36     23     14      0    26%   38-57, 61-64, 68, 72, 76-82

nvtabular/inference/triton/benchmarking_tools.py                  52     52     10      0     0%   2-103

nvtabular/inference/triton/data_conversions.py                    87     73     58      0    10%   32-33, 52-84, 88-94, 98-105, 109-115, 119-136, 140-150

nvtabular/inference/triton/ensemble.py                           266    212     82      5    18%   87-112, 157-196, 240-288, 292-323, 348-368, 381-389, 405-462, 486-496, 548-588, 594-610, 614-681, 685-700, 711, 729, 733, 739-758, 764-788, 794-796

nvtabular/inference/triton/model/init.py                       0      0      0      0   100%

nvtabular/inference/triton/model/model_pt.py                     101    101     42      0     0%   27-220

nvtabular/inference/triton/model_config_pb2.py                   272    272      2      0     0%   4-571

nvtabular/inference/triton/model_config_util.py                   21      0      2      1    96%   7->exit

nvtabular/inference/triton/workflow_model.py                      55     55     24      0     0%   27-128

nvtabular/inference/workflow/init.py                           0      0      0      0   100%

nvtabular/inference/workflow/base.py                             113    113     62      0     0%   27-209

nvtabular/inference/workflow/hugectr.py                           37     37     16      0     0%   27-87

nvtabular/inference/workflow/pytorch.py                           10     10      6      0     0%   27-46

nvtabular/inference/workflow/tensorflow.py                        32     32     10      0     0%   26-68

nvtabular/io.py                                                    3      3      0      0     0%   18-23

nvtabular/loader/init.py                                       2      0      0      0   100%

nvtabular/loader/backend.py                                      371     52    154     27    83%   27-28, 92, 97-98, 125, 137-142, 145->exit, 157-159, 178, 179->181, 235, 271-275, 278-281, 286, 293, 299->301, 311-315, 325-326, 357, 362-363, 399-400, 402->406, 403->402, 431, 449, 478, 482-483, 508-517, 578->581, 588-589, 618, 623-627, 632

nvtabular/loader/tensorflow.py                                   179     57     60     17    66%   38-39, 63-65, 74, 78, 85-89, 101, 105, 110-115, 124, 311-313, 329, 351, 355-358, 363, 368, 375, 383-385, 389, 395->399, 408-418, 422, 426-434, 437-440, 443-447, 453

nvtabular/loader/tf_utils.py                                      57     27     22      6    46%   31->34, 34->36, 41->43, 45, 46->67, 52-53, 61-63, 69-73, 88-93, 103-116

nvtabular/loader/torch.py                                         87     39     26      3    50%   28-30, 33-39, 114, 119, 124-130, 154-166, 169, 174-179, 182-187, 190-191

nvtabular/ops/init.py                                         26      0      0      0   100%

nvtabular/ops/add_metadata.py                                     34      3     14      0    94%   34, 38, 42

nvtabular/ops/bucketize.py                                        40     20     20      2    40%   52-54, 58->exit, 59-64, 71-88, 92, 96

nvtabular/ops/categorify.py                                      660    170    348     79    70%   251, 253, 271, 275, 279, 283, 287, 291, 293, 297, 305, 320, 323-328, 341-342, 372-376, 384-408, 434, 448->451, 452, 457, 460, 483-484, 491-499, 561-566, 598, 625->627, 628, 629->631, 635, 637, 646, 725, 727->730, 733, 750, 759-764, 795, 829, 860->863, 864-866, 873-874, 889-893, 894->858, 912, 920, 927-928, 945-946, 951, 954->957, 983, 1003-1021, 1037, 1059, 1063, 1065-1068, 1073, 1077-1089, 1091->1094, 1099->1053, 1107-1114, 1115->1117, 1119-1122, 1134, 1138, 1142, 1149, 1154-1157, 1235, 1237, 1299, 1307->1330, 1313->1330, 1331-1336, 1354, 1358-1366, 1369, 1380-1388, 1394->1397, 1401->1406, 1405, 1411, 1414, 1419-1433, 1454-1462

nvtabular/ops/clip.py                                             18      2      8      3    81%   44, 52->54, 55

nvtabular/ops/column_similarity.py                               121     86     38      0    23%   19-20, 29-30, 72-78, 81-88, 92-114, 125-126, 129-134, 138, 142, 168-197, 206-207, 216-218, 226-242, 251-276, 280-283, 287-288

nvtabular/ops/data_stats.py                                       56     40     24      0    22%   44-48, 51, 55-93, 96-115, 118

nvtabular/ops/difference_lag.py                                   43     21     14      1    44%   60->63, 70-81, 87, 90-95, 99, 103, 106

nvtabular/ops/drop_low_cardinality.py                             18     11     10      0    32%   30-31, 50, 80-90

nvtabular/ops/dropna.py                                            9      3      2      0    73%   36-38

nvtabular/ops/fill.py                                             76     35     30      3    47%   53-55, 63-67, 73, 79, 102-104, 108-115, 120-121, 125-128, 135, 138-142, 145-148

nvtabular/ops/filter.py                                           20      3      8      3    79%   49, 56, 60

nvtabular/ops/groupby.py                                         135     89     88      6    27%   82, 93-94, 103, 104->106, 106->95, 115-141, 148-152, 155-179, 182-200, 204, 209-214, 220-243, 250-253, 258-261, 267, 274-279, 285-292, 298-305

nvtabular/ops/hash_bucket.py                                      43     22     22      2    38%   75, 79, 88-101, 106-110, 113-124, 128, 132

nvtabular/ops/hashed_cross.py                                     38     22     17      1    35%   52, 58-68, 73-78, 82, 87-92

nvtabular/ops/join_external.py                                    96     19     34     11    72%   20-21, 114, 116, 118, 131, 138, 142-145, 150-151, 156-157, 205-206, 220-227

nvtabular/ops/join_groupby.py                                    128     20     57      9    79%   111, 113, 120, 126-129, 136-139, 144-146, 177-180, 181->175, 230-231, 260-261

nvtabular/ops/lambdaop.py                                         62      7     22      7    83%   60, 64, 77, 82, 95, 100, 109

nvtabular/ops/list_slice.py                                       89     60     42      3    26%   21-22, 67-68, 70->73, 74, 80-129, 132-133, 137, 146-160, 168-190

nvtabular/ops/logop.py                                            21      2      6      1    89%   48-51

nvtabular/ops/moments.py                                          69      1     24      1    98%   71

nvtabular/ops/normalize.py                                        93     27     22      3    67%   72, 77, 82, 89, 126-128, 134-142, 148, 155-159, 162-163, 167, 176, 180

nvtabular/ops/operator.py                                         11      1      2      0    92%   52

nvtabular/ops/reduce_dtype_size.py                                49     28     20      0    33%   36-39, 43, 46, 49-50, 54-56, 59-80

nvtabular/ops/rename.py                                           29     17     14      1    35%   46, 54-56, 61-79

nvtabular/ops/stat_operator.py                                     8      0      2      0   100%

nvtabular/ops/target_encoding.py                                 182    127     76      0    22%   166-207, 210-213, 217, 226-227, 230-243, 246-251, 254-257, 261, 265, 269-274, 277-280, 283-284, 287-288, 291-292, 296-377, 381-413, 423-432

nvtabular/ops/value_counts.py                                     34     20      6      0    40%   37-53, 56, 59, 62-64, 67

nvtabular/tools/init.py                                        0      0      0      0   100%

nvtabular/tools/data_gen.py                                      271    118     90     13    55%   26-27, 31-32, 57, 62, 65-75, 78, 97-106, 129-132, 142-146, 148, 150-153, 170-171, 180-188, 191-198, 211, 212->220, 258-259, 265-291, 295-313, 316-325, 332, 356->355, 358, 361-370, 396-402, 483, 489-491

nvtabular/tools/dataset_inspector.py                              52     40     24      0    21%   31-40, 50-51, 71-112

nvtabular/tools/inspector_script.py                               46     46      0      0     0%   17-168

nvtabular/utils.py                                                 3      0      0      0   100%

nvtabular/worker.py                                                3      3      0      0     0%   18-23

nvtabular/workflow/init.py                                     2      0      0      0   100%

nvtabular/workflow/node.py                                         7      1      4      1    82%   28

nvtabular/workflow/workflow.py                                   219     25     94     14    88%   28-29, 52, 85, 121-122, 126, 130, 187->190, 206, 212->226, 239-241, 257, 373, 388-389, 431, 508, 538-546, 548-550, 563


TOTAL                                                           5205   2602   2097    254    47%

Coverage XML written to file coverage.xml


FAIL Required test coverage of 70% not reached. Total coverage: 46.82%

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

SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:17: could not import 's3fs': cannot import name 'resolve_checksum_context' from 'botocore.client' (/var/jenkins_home/.local/lib/python3.8/site-packages/botocore/client.py)

!!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!

====== 1 failed, 119 passed, 1 skipped, 69 warnings in 202.07s (0:03:22) =======

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/jenkins11679445780745488898.sh

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https://nvidia-merlin.github.io/NVTabular/review/pr-1576

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GitHub pull request #1576 of commit 6a58bb4e17f4dadc8cdee2ce777f3af0e7df2997, no merge conflicts.
Running as SYSTEM
Setting status of 6a58bb4e17f4dadc8cdee2ce777f3af0e7df2997 to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4502/ 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/1576/*:refs/remotes/origin/pr/1576/* # timeout=10
 > git rev-parse 6a58bb4e17f4dadc8cdee2ce777f3af0e7df2997^{commit} # timeout=10
Checking out Revision 6a58bb4e17f4dadc8cdee2ce777f3af0e7df2997 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6a58bb4e17f4dadc8cdee2ce777f3af0e7df2997 # timeout=10
Commit message: "merge in resolution"
 > git rev-list --no-walk 72798a8ba64c6b9d5914b717f1fd330f189347fe # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins8379756844695706215.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already up-to-date: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (62.3.3)
/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (22.1.2)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (62.3.3)
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Requirement already satisfied: numpy==1.20.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (1.20.3)
Found existing installation: nvtabular 0.11.0+44.g50eb7ef
Uninstalling nvtabular-0.11.0+44.g50eb7ef:
  Successfully uninstalled nvtabular-0.11.0+44.g50eb7ef
Found existing installation: merlin-core 0.3.0+9.g136f688
Uninstalling merlin-core-0.3.0+9.g136f688:
  Successfully uninstalled merlin-core-0.3.0+9.g136f688
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-install-8bo783gu/merlin-core_4d567168d4ef4996af21540a262c9b64
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-install-8bo783gu/merlin-core_4d567168d4ef4996af21540a262c9b64
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 136f68835663770cd7c1b476c268ae58553617ff
  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: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.19.4)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (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-0.3.0+9.g136f688-py3-none-any.whl size=109489 sha256=1c22d7ce6ef4af4dbd0d74e38f5bb302e2ac8d12f8ce9f95ec3af280658e7f30
  Stored in directory: /tmp/pip-ephem-wheel-cache-2jvwo28j/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.2.0+2.g36ecbff
    Uninstalling merlin-core-0.2.0+2.g36ecbff:
      Successfully uninstalled merlin-core-0.2.0+2.g36ecbff
Successfully installed merlin-core-0.3.0+9.g136f688
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting sphinxcontrib-copydirs@ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git
  Cloning https://github.com/mikemckiernan/sphinxcontrib-copydirs.git to /tmp/pip-install-7g7bx3b8/sphinxcontrib-copydirs_dde26a51098f4a218160cf50cc4b39b0
  Running command git clone --filter=blob:none --quiet https://github.com/mikemckiernan/sphinxcontrib-copydirs.git /tmp/pip-install-7g7bx3b8/sphinxcontrib-copydirs_dde26a51098f4a218160cf50cc4b39b0
  Resolved https://github.com/mikemckiernan/sphinxcontrib-copydirs.git to commit bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: pbr in /usr/local/lib/python3.8/dist-packages (from sphinxcontrib-copydirs@ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git) (5.9.0)
running develop
running build_py
creating build
creating build/lib.linux-x86_64-cpython-38
creating build/lib.linux-x86_64-cpython-38/tests
copying tests/conftest.py -> build/lib.linux-x86_64-cpython-38/tests
copying tests/__init__.py -> build/lib.linux-x86_64-cpython-38/tests
creating build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/io.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/_version.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/graph.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/dispatch.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/worker.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular
creating build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_triton_inference.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_dask_nvt.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_tf4rec.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_s3.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_tools.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/__init__.py -> build/lib.linux-x86_64-cpython-38/tests/unit
creating build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/tensorflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/torch.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/backend.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/tf_utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference
copying nvtabular/inference/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils
copying nvtabular/framework_utils/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils
creating build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/inspector_script.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/dataset_inspector.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/data_gen.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
creating build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/data_stats.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/stat_operator.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/clip.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/groupby.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/target_encoding.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/add_metadata.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/logop.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/hashed_cross.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/categorify.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/rename.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/drop_low_cardinality.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/list_slice.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/hash_bucket.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/fill.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/dropna.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/lambdaop.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/value_counts.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/operator.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/normalize.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/filter.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/join_external.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/join_groupby.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/moments.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/reduce_dtype_size.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/difference_lag.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/bucketize.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/column_similarity.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
creating build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/node.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/workflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/benchmarking_tools.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/model_config_util.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/workflow_model.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/ensemble.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/data_conversions.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/tensorflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/base.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/hugectr.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/pytorch.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
copying nvtabular/inference/triton/model/model_pt.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
copying nvtabular/inference/triton/model/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/feature_column_utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/models.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/outer_product.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/embedding.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/interaction.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
copying nvtabular/framework_utils/torch/layers/embeddings.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
copying nvtabular/framework_utils/torch/layers/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
package init file 'ci/__init__.py' not found (or not a regular file)
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creating build/lib.linux-x86_64-cpython-38/bench
copying bench/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/bench
package init file 'merlin/__init__.py' not found (or not a regular file)
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creating build/lib.linux-x86_64-cpython-38/docs
creating build/lib.linux-x86_64-cpython-38/docs/source
copying docs/source/conf.py -> build/lib.linux-x86_64-cpython-38/docs/source
package init file 'docs/source/_templates/__init__.py' not found (or not a regular file)
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creating build/lib.linux-x86_64-cpython-38/bench/datasets
copying bench/datasets/test_dataset.py -> build/lib.linux-x86_64-cpython-38/bench/datasets
package init file 'bench/torch/__init__.py' not found (or not a regular file)
package init file 'bench/examples/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/bench/examples
copying bench/examples/dask-nvtabular-criteo-benchmark.py -> build/lib.linux-x86_64-cpython-38/bench/examples
copying bench/examples/dataloader_bench.py -> build/lib.linux-x86_64-cpython-38/bench/examples
package init file 'bench/datasets/configs/__init__.py' not found (or not a regular file)
package init file 'bench/datasets/tools/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/train_hugectr.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/train_pytorch.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/nvt_etl.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/train_tensorflow.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
package init file 'bench/torch/criteo/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/merlin
creating build/lib.linux-x86_64-cpython-38/merlin/transforms
copying merlin/transforms/__init__.py -> build/lib.linux-x86_64-cpython-38/merlin/transforms
creating build/lib.linux-x86_64-cpython-38/merlin/transforms/ops
copying merlin/transforms/ops/__init__.py -> build/lib.linux-x86_64-cpython-38/merlin/transforms/ops
package init file 'examples/tensorflow/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/examples
creating build/lib.linux-x86_64-cpython-38/examples/tensorflow
copying examples/tensorflow/callbacks.py -> build/lib.linux-x86_64-cpython-38/examples/tensorflow
package init file 'examples/getting-started-movielens/__init__.py' not found (or not a regular file)
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package init file 'examples/multi-gpu-movielens/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
copying examples/multi-gpu-movielens/tf_trainer.py -> build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
copying examples/multi-gpu-movielens/torch_trainer_dist.py -> build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
package init file 'examples/scaling-criteo/__init__.py' not found (or not a regular file)
package init file 'examples/winning-solution-recsys2020-twitter/__init__.py' not found (or not a regular file)
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package init file 'examples/getting-started-movielens/imgs/__init__.py' not found (or not a regular file)
package init file 'examples/scaling-criteo/imgs/__init__.py' not found (or not a regular file)
package init file 'tests/integration/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_nvt_tf_inference.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_inf_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_nvt_hugectr.py -> build/lib.linux-x86_64-cpython-38/tests/integration
package init file 'tests/integration/common/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration/common
copying tests/integration/common/utils.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common
package init file 'tests/integration/common/parsers/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/benchmark_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/rossmann_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/criteo_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
package init file 'tests/unit/loader/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_dataloader_backend.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_tf_dataloader.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_torch_dataloader.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
package init file 'tests/unit/framework_utils/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_tf_feature_columns.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_tf_layers.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_torch_layers.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
package init file 'tests/unit/ops/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_reduce_dtype_size.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_fill.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_lambda.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_categorify.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_ops_schema.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_drop_low_cardinality.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_target_encode.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_groupyby.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_column_similarity.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_join.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_normalize.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_hash_bucket.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_ops.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
package init file 'tests/unit/workflow/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_ops.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_cpu_workflow.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_schemas.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_node.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_chaining.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
package init file 'conda/environments/__init__.py' not found (or not a regular file)
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UPDATING build/lib.linux-x86_64-cpython-38/nvtabular/_version.py
set build/lib.linux-x86_64-cpython-38/nvtabular/_version.py to '1.1.1+14.g6a58bb4e1'
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.proto' under directory 'nvtabular'
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adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build/temp.linux-x86_64-cpython-38
creating build/temp.linux-x86_64-cpython-38/cpp
creating build/temp.linux-x86_64-cpython-38/cpp/nvtabular
creating build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+14.g6a58bb4e1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+14.g6a58bb4e1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+14.g6a58bb4e1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+14.g6a58bb4e1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 build/temp.linux-x86_64-cpython-38/cpp/nvtabular/__init__.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/fill.o -L/usr/lib -o build/lib.linux-x86_64-cpython-38/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-cpython-38/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 1.1.1+14.g6a58bb4e1 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular

Running black --check

All done! ✨ 🍰 ✨

132 files would be left unchanged.

Running flake8

Running isort

Skipped 1 files

Running bandit

Running pylint




Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)


Running flake8-nb

Building docs

make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'

INFO:sphinxcontrib.copydirs.copydirs:Copying source documentation from: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/examples

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INFO:traitlets:Making directory /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/winning-solution-recsys2020-twitter

INFO:traitlets:Making directory /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/winning-solution-recsys2020-twitter

INFO:traitlets:Writing 77074 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/winning-solution-recsys2020-twitter/01-02-04-Download-Convert-ETL-with-NVTabular-Training-with-XGBoost.ipynb

make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'

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

platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0

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-3.0.0

collected 1420 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/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%]

........                                                                 [ 45%]

tests/unit/ops/test_groupyby.py ...............                          [ 46%]

tests/unit/ops/test_hash_bucket.py .........................             [ 48%]

tests/unit/ops/test_join.py ............................................ [ 51%]

........................................................................ [ 56%]

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

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

tests/unit/ops/test_normalize.py ....................................... [ 62%]

..                                                                       [ 62%]

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:32

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:32: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


../../../.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:351: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:351: 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: 2 warnings

tests/unit/test_tf4rec.py: 1 warning

tests/unit/test_tools.py: 6 warnings

tests/unit/test_triton_inference.py: 8 warnings

tests/unit/loader/test_dataloader_backend.py: 6 warnings

tests/unit/loader/test_tf_dataloader.py: 142 warnings

tests/unit/loader/test_torch_dataloader.py: 91 warnings

tests/unit/ops/test_categorify.py: 70 warnings

tests/unit/ops/test_drop_low_cardinality.py: 2 warnings

tests/unit/ops/test_fill.py: 8 warnings

tests/unit/ops/test_hash_bucket.py: 4 warnings

tests/unit/ops/test_join.py: 88 warnings

tests/unit/ops/test_lambda.py: 3 warnings

tests/unit/ops/test_normalize.py: 9 warnings

tests/unit/ops/test_ops.py: 11 warnings

tests/unit/ops/test_ops_schema.py: 17 warnings

tests/unit/workflow/test_workflow.py: 34 warnings

tests/unit/workflow/test_workflow_chaining.py: 1 warning

tests/unit/workflow/test_workflow_node.py: 1 warning

tests/unit/workflow/test_workflow_schemas.py: 1 warning

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1292: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(


tests/unit/test_dask_nvt.py: 12 warnings

/var/jenkins_home/.local/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/.local/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/test_notebooks.py: 18 warnings

tests/unit/test_tools.py: 1213 warnings

tests/unit/loader/test_tf_dataloader.py: 20 warnings

tests/unit/loader/test_torch_dataloader.py: 432 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:3235: DeprecationWarning: Series.ceil and DataFrame.ceil are deprecated and will be                 removed in the future

warnings.warn(


tests/unit/test_tools.py::test_inspect_datagen[uniform-parquet]

tests/unit/test_tools.py::test_inspect_datagen[uniform-parquet]

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

tests/unit/ops/test_ops.py::test_data_stats[False-parquet]

/usr/local/lib/python3.8/dist-packages/cudf/core/series.py:958: FutureWarning: Series.set_index is deprecated and will be removed in the future

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/.local/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.py::test_difference_lag[False]

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:3025: FutureWarning: The as_gpu_matrix method will be removed in a future cuDF release. Consider using to_cupy instead.

warnings.warn(


tests/unit/workflow/test_cpu_workflow.py: 6 warnings

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

/var/jenkins_home/.local/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/.local/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/.local/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 Branch BrPart  Cover   Missing


nvtabular/init.py                                             22      0      0      0   100%

nvtabular/dispatch.py                                              3      3      0      0     0%   18-23

nvtabular/framework_utils/init.py                              2      0      0      0   100%

nvtabular/framework_utils/tensorflow/init.py                   1      0      0      0   100%

nvtabular/framework_utils/tensorflow/feature_column_utils.py     134     78     90     15    39%   30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282

nvtabular/framework_utils/tensorflow/layers/init.py            4      0      0      0   100%

nvtabular/framework_utils/tensorflow/layers/embedding.py         153     12     89      6    91%   60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367

nvtabular/framework_utils/tensorflow/layers/interaction.py        47     25     22      1    45%   49, 74-103, 106-110, 113

nvtabular/framework_utils/tensorflow/layers/outer_product.py      30     24     12      0    19%   37-38, 41-60, 71-84, 87

nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py      58     58     30      0     0%   16-111

nvtabular/framework_utils/torch/init.py                        0      0      0      0   100%

nvtabular/framework_utils/torch/layers/init.py                 2      0      0      0   100%

nvtabular/framework_utils/torch/layers/embeddings.py              32      2     18      2    92%   50, 91

nvtabular/framework_utils/torch/models.py                         45      1     30      4    93%   57->61, 87->89, 93->96, 103

nvtabular/framework_utils/torch/utils.py                          75      5     34      5    91%   51->53, 64, 71->76, 75, 118-120

nvtabular/graph.py                                                 3      3      0      0     0%   18-23

nvtabular/inference/init.py                                    2      0      0      0   100%

nvtabular/inference/triton/init.py                            35      6     14      2    76%   38-45, 64, 68, 73->76

nvtabular/inference/triton/benchmarking_tools.py                  52     52     10      0     0%   2-103

nvtabular/inference/triton/data_conversions.py                    87      3     58      4    95%   32-33, 84

nvtabular/inference/triton/ensemble.py                           265    148     82      7    46%   85-89, 152-191, 235-283, 300-304, 376-384, 413-429, 481-491, 543-583, 589-605, 609-676, 706, 728, 734-753, 759-783, 790

nvtabular/inference/triton/model/init.py                       0      0      0      0   100%

nvtabular/inference/triton/model/model_pt.py                     101    101     42      0     0%   27-220

nvtabular/inference/triton/model_config_util.py                   21     21      2      0     0%   1-28

nvtabular/inference/triton/workflow_model.py                      55     55     24      0     0%   27-128

nvtabular/inference/workflow/init.py                           0      0      0      0   100%

nvtabular/inference/workflow/base.py                             113     14     62      7    85%   66, 70, 92, 119, 135->133, 163-171, 176->194, 200-203

nvtabular/inference/workflow/hugectr.py                           37     29     16      0    19%   35-38, 41-69, 73-75, 78-87

nvtabular/inference/workflow/pytorch.py                           10      0      6      0   100%

nvtabular/inference/workflow/tensorflow.py                        32      7     10      1    81%   56-63

nvtabular/io.py                                                    3      3      0      0     0%   18-23

nvtabular/loader/init.py                                       2      0      0      0   100%

nvtabular/loader/backend.py                                      371     17    154     12    94%   27-28, 142, 158-159, 299->301, 311-315, 362-363, 402->406, 403->402, 478, 482-483, 512, 588-589, 624, 632

nvtabular/loader/tensorflow.py                                   179     25     60      9    86%   38-39, 74, 85-89, 101, 115, 124, 329, 357, 368, 383-385, 414-416, 426-434, 437-440

nvtabular/loader/tf_utils.py                                      57     10     22      6    80%   31->34, 34->36, 41->43, 45, 46->67, 52-53, 61-63, 69-73

nvtabular/loader/torch.py                                         87     14     26      3    80%   28-30, 33-39, 114, 158-159, 164

nvtabular/ops/init.py                                         26      0      0      0   100%

nvtabular/ops/add_metadata.py                                     34      0     14      0   100%

nvtabular/ops/bucketize.py                                        40      9     20      3    73%   52-54, 58->exit, 61-64, 83-86

nvtabular/ops/categorify.py                                      660     67    348     49    87%   251, 253, 271, 275, 283, 291, 293, 320, 341-342, 391->395, 399-406, 452, 460, 483-484, 562-563, 637, 733, 750, 795, 873-874, 889-893, 894->858, 912, 920, 927->exit, 951, 954->957, 1006->1004, 1068, 1073, 1107->1111, 1113->1053, 1119-1122, 1134, 1138, 1142, 1149, 1154-1157, 1235, 1237, 1307->1330, 1313->1330, 1331-1336, 1381, 1394->1397, 1401->1406, 1405, 1411, 1414, 1422-1432

nvtabular/ops/clip.py                                             18      2      8      3    81%   44, 52->54, 55

nvtabular/ops/column_similarity.py                               121     26     38      5    74%   19-20, 29-30, 81->exit, 111, 206-207, 216-218, 226-242, 259->262, 263, 273

nvtabular/ops/data_stats.py                                       56      1     24      3    95%   107->109, 111, 113->103

nvtabular/ops/difference_lag.py                                   43      0     14      1    98%   73->75

nvtabular/ops/drop_low_cardinality.py                             18      0     10      1    96%   85->84

nvtabular/ops/dropna.py                                            9      0      2      0   100%

nvtabular/ops/fill.py                                             76      2     30      2    96%   64, 109

nvtabular/ops/filter.py                                           20      1      8      1    93%   49

nvtabular/ops/groupby.py                                         135      4     88      5    96%   82, 94, 104->106, 149, 241

nvtabular/ops/hash_bucket.py                                      43      1     22      2    95%   79, 118->124

nvtabular/ops/hashed_cross.py                                     38      3     17      3    89%   52, 64, 92

nvtabular/ops/join_external.py                                    96      8     34      7    88%   20-21, 114, 116, 118, 150->152, 205-206, 216->227, 221

nvtabular/ops/join_groupby.py                                    128      5     57      6    94%   113, 120, 129, 136->135, 178->175, 181->175, 260-261

nvtabular/ops/lambdaop.py                                         62      6     22      6    86%   60, 64, 82, 95, 100, 109

nvtabular/ops/list_slice.py                                       89     29     42      0    64%   21-22, 146-160, 168-190

nvtabular/ops/logop.py                                            21      0      6      0   100%

nvtabular/ops/moments.py                                          69      0     24      0   100%

nvtabular/ops/normalize.py                                        93      3     22      1    95%   139-140, 167

nvtabular/ops/operator.py                                         11      0      2      0   100%

nvtabular/ops/reduce_dtype_size.py                                49      0     20      2    97%   68->77, 74->77

nvtabular/ops/rename.py                                           29      3     14      3    86%   46, 71-73

nvtabular/ops/stat_operator.py                                     8      0      2      0   100%

nvtabular/ops/target_encoding.py                                 182      9     76      5    93%   168->172, 176->185, 274, 283-284, 297-303, 396->399

nvtabular/ops/value_counts.py                                     34      0      6      1    98%   40->38

nvtabular/tools/init.py                                        0      0      0      0   100%

nvtabular/tools/data_gen.py                                      271     25     90      7    91%   26-27, 31-32, 129-132, 142-146, 148, 170-171, 322, 332, 358, 361-370

nvtabular/tools/dataset_inspector.py                              52      8     24      2    79%   33-40, 51

nvtabular/tools/inspector_script.py                               46     46      0      0     0%   17-168

nvtabular/utils.py                                                 3      0      0      0   100%

nvtabular/worker.py                                                3      3      0      0     0%   18-23

nvtabular/workflow/init.py                                     2      0      0      0   100%

nvtabular/workflow/node.py                                         7      0      4      0   100%

nvtabular/workflow/workflow.py                                   219     17     94     12    91%   28-29, 52, 85, 206, 212->226, 239-241, 373, 388-389, 431, 508, 538, 548-550, 563


TOTAL                                                           4931    994   2095    214    78%

Coverage XML written to file coverage.xml


Required test coverage of 70% reached. Total coverage: 78.47%

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

SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:17: could not import 's3fs': cannot import name 'resolve_checksum_context' from 'botocore.client' (/var/jenkins_home/.local/lib/python3.8/site-packages/botocore/client.py)

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

========= 1419 passed, 2 skipped, 2343 warnings in 1079.61s (0:17:59) ==========

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/jenkins464023485748824019.sh

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #1576 of commit b643c6cf124e0c3c1ada7aa20e81837075843b1d, no merge conflicts.
Running as SYSTEM
Setting status of b643c6cf124e0c3c1ada7aa20e81837075843b1d to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4503/ 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/1576/*:refs/remotes/origin/pr/1576/* # timeout=10
 > git rev-parse b643c6cf124e0c3c1ada7aa20e81837075843b1d^{commit} # timeout=10
Checking out Revision b643c6cf124e0c3c1ada7aa20e81837075843b1d (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f b643c6cf124e0c3c1ada7aa20e81837075843b1d # timeout=10
Commit message: "rm model config no longer used"
 > git rev-list --no-walk 6a58bb4e17f4dadc8cdee2ce777f3af0e7df2997 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins2187583247059112074.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already up-to-date: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (62.3.3)
/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/connectionpool.py:999: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pypi.ngc.nvidia.com'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
Installing NVTabular
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pip in /var/jenkins_home/.local/lib/python3.8/site-packages (22.1.2)
Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (62.3.3)
Requirement already satisfied: wheel in /var/jenkins_home/.local/lib/python3.8/site-packages (0.37.1)
Requirement already satisfied: pybind11 in /var/jenkins_home/.local/lib/python3.8/site-packages (2.9.2)
Requirement already satisfied: numpy==1.20.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (1.20.3)
Found existing installation: nvtabular 1.1.1+11.g9e99449a1
Uninstalling nvtabular-1.1.1+11.g9e99449a1:
  Successfully uninstalled nvtabular-1.1.1+11.g9e99449a1
Found existing installation: merlin-core 0.3.0+9.g136f688
Uninstalling merlin-core-0.3.0+9.g136f688:
  Successfully uninstalled merlin-core-0.3.0+9.g136f688
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-install-ww8o8vkh/merlin-core_8ba7b19660b84dd085769757359aff30
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-install-ww8o8vkh/merlin-core_8ba7b19660b84dd085769757359aff30
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 136f68835663770cd7c1b476c268ae58553617ff
  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: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.8.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.19.4)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.3.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (6.0.1)
Requirement already satisfied: dask>=2021.11.2 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2021.11.2)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.2.5)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2021.11.2)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (4.64.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.4.2)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.2.0)
Requirement already satisfied: pyyaml in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (5.4.1)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.1.0)
Requirement already satisfied: fsspec>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2022.5.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.11.2)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (5.8.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.4.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.7.0)
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Requirement already satisfied: setuptools in /var/jenkins_home/.local/lib/python3.8/site-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (62.3.3)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (6.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.0.3)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.0.3)
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Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (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@ git+https://github.com/NVIDIA-Merlin/core.git) (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@ git+https://github.com/NVIDIA-Merlin/core.git) (2022.1)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (1.0.0)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (1.56.1)
Requirement already satisfied: six in /var/jenkins_home/.local/lib/python3.8/site-packages (from absl-py<2.0.0,>=0.9->tensorflow-metadata>=1.2.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.15.0)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.2.1)
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>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (2.0.1)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (6.0.1)
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@ git+https://github.com/NVIDIA-Merlin/core.git) (4.0.0)
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-0.3.0+9.g136f688-py3-none-any.whl size=109489 sha256=34f06ee08acb3b4c6a50d31891aec795f043b3485aa71a5cff268239dd092c99
  Stored in directory: /tmp/pip-ephem-wheel-cache-2l4hm2ez/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.2.0
    Uninstalling merlin-core-0.2.0:
      Successfully uninstalled merlin-core-0.2.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
merlin-systems 0.2.0+10.g8393bbc requires nvtabular>=1.0.0, which is not installed.
Successfully installed merlin-core-0.3.0+9.g136f688
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: natsort==8.1.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (8.1.0)
Requirement already satisfied: myst-nb<0.14 in /var/jenkins_home/.local/lib/python3.8/site-packages (0.13.2)
Requirement already satisfied: linkify-it-py<1.1 in /var/jenkins_home/.local/lib/python3.8/site-packages (1.0.3)
Requirement already satisfied: sphinx-external-toc<0.4 in /var/jenkins_home/.local/lib/python3.8/site-packages (0.3.0)
Requirement already satisfied: sphinx<5,>=3.1 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (3.5.4)
Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (4.11.4)
Requirement already satisfied: ipywidgets<8,>=7.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (7.7.0)
Requirement already satisfied: docutils<0.18,>=0.15 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (0.16)
Requirement already satisfied: jupyter-cache~=0.4.1 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.4.3)
Requirement already satisfied: ipython in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (8.4.0)
Requirement already satisfied: nbformat~=5.0 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (5.4.0)
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Requirement already satisfied: pyyaml in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from myst-nb<0.14) (5.4.1)
Requirement already satisfied: jupyter-sphinx~=0.3.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.3.2)
Requirement already satisfied: nbconvert<7,>=5.6 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (6.5.0)
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Requirement already satisfied: ipykernel>=4.5.1 in /usr/local/lib/python3.8/dist-packages (from ipywidgets<8,>=7.0.0->myst-nb<0.14) (6.13.1)
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Requirement already satisfied: cffi>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from argon2-cffi-bindings->argon2-cffi->jupyter-server->nbdime->jupyter-cache~=0.4.1->myst-nb<0.14) (1.15.0)
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Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting sphinxcontrib-copydirs@ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git
  Cloning https://github.com/mikemckiernan/sphinxcontrib-copydirs.git to /tmp/pip-install-av42626g/sphinxcontrib-copydirs_04ad516ccc714853a996206938f33916
  Running command git clone --filter=blob:none --quiet https://github.com/mikemckiernan/sphinxcontrib-copydirs.git /tmp/pip-install-av42626g/sphinxcontrib-copydirs_04ad516ccc714853a996206938f33916
  Resolved https://github.com/mikemckiernan/sphinxcontrib-copydirs.git to commit bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: pbr in /usr/local/lib/python3.8/dist-packages (from sphinxcontrib-copydirs@ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git) (5.9.0)
running develop
running build_py
creating build
creating build/lib.linux-x86_64-cpython-38
creating build/lib.linux-x86_64-cpython-38/tests
copying tests/conftest.py -> build/lib.linux-x86_64-cpython-38/tests
copying tests/__init__.py -> build/lib.linux-x86_64-cpython-38/tests
creating build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/io.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/_version.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/graph.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/dispatch.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/worker.py -> build/lib.linux-x86_64-cpython-38/nvtabular
copying nvtabular/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular
creating build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_triton_inference.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_dask_nvt.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_tf4rec.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_s3.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/test_tools.py -> build/lib.linux-x86_64-cpython-38/tests/unit
copying tests/unit/__init__.py -> build/lib.linux-x86_64-cpython-38/tests/unit
creating build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/tensorflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/torch.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/backend.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
copying nvtabular/loader/tf_utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/loader
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference
copying nvtabular/inference/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils
copying nvtabular/framework_utils/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils
creating build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/inspector_script.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/dataset_inspector.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/data_gen.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
copying nvtabular/tools/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/tools
creating build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/data_stats.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/stat_operator.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/clip.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/groupby.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/target_encoding.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/add_metadata.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/logop.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/hashed_cross.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/categorify.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/rename.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/drop_low_cardinality.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/list_slice.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/hash_bucket.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/fill.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/dropna.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/lambdaop.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/value_counts.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/operator.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/normalize.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/filter.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/join_external.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/join_groupby.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/moments.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/reduce_dtype_size.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/difference_lag.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/bucketize.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
copying nvtabular/ops/column_similarity.py -> build/lib.linux-x86_64-cpython-38/nvtabular/ops
creating build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/node.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/workflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
copying nvtabular/workflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/workflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/benchmarking_tools.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/workflow_model.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/ensemble.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/data_conversions.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
copying nvtabular/inference/triton/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/tensorflow.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/base.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/hugectr.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/pytorch.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
copying nvtabular/inference/workflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/workflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
copying nvtabular/inference/triton/model/model_pt.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
copying nvtabular/inference/triton/model/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/inference/triton/model
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/feature_column_utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
copying nvtabular/framework_utils/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/utils.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/models.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
copying nvtabular/framework_utils/torch/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/outer_product.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/embedding.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/interaction.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
copying nvtabular/framework_utils/tensorflow/layers/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/tensorflow/layers
creating build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
copying nvtabular/framework_utils/torch/layers/embeddings.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
copying nvtabular/framework_utils/torch/layers/__init__.py -> build/lib.linux-x86_64-cpython-38/nvtabular/framework_utils/torch/layers
/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
package init file 'ci/__init__.py' not found (or not a regular file)
package init file 'images/__init__.py' not found (or not a regular file)
package init file 'docs/__init__.py' not found (or not a regular file)
package init file 'cpp/__init__.py' not found (or not a regular file)
package init file 'bench/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/bench
copying bench/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/bench
package init file 'merlin/__init__.py' not found (or not a regular file)
package init file 'examples/__init__.py' not found (or not a regular file)
package init file 'conda/__init__.py' not found (or not a regular file)
package init file 'docs/source/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/docs
creating build/lib.linux-x86_64-cpython-38/docs/source
copying docs/source/conf.py -> build/lib.linux-x86_64-cpython-38/docs/source
package init file 'docs/source/_templates/__init__.py' not found (or not a regular file)
package init file 'docs/source/images/__init__.py' not found (or not a regular file)
package init file 'docs/source/training/__init__.py' not found (or not a regular file)
package init file 'docs/source/resources/__init__.py' not found (or not a regular file)
package init file 'cpp/nvtabular/__init__.py' not found (or not a regular file)
package init file 'cpp/nvtabular/inference/__init__.py' not found (or not a regular file)
package init file 'bench/datasets/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/bench/datasets
copying bench/datasets/test_dataset.py -> build/lib.linux-x86_64-cpython-38/bench/datasets
package init file 'bench/torch/__init__.py' not found (or not a regular file)
package init file 'bench/examples/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/bench/examples
copying bench/examples/dask-nvtabular-criteo-benchmark.py -> build/lib.linux-x86_64-cpython-38/bench/examples
copying bench/examples/dataloader_bench.py -> build/lib.linux-x86_64-cpython-38/bench/examples
package init file 'bench/datasets/configs/__init__.py' not found (or not a regular file)
package init file 'bench/datasets/tools/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/train_hugectr.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/train_pytorch.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/nvt_etl.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
copying bench/datasets/tools/train_tensorflow.py -> build/lib.linux-x86_64-cpython-38/bench/datasets/tools
package init file 'bench/torch/criteo/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/merlin
creating build/lib.linux-x86_64-cpython-38/merlin/transforms
copying merlin/transforms/__init__.py -> build/lib.linux-x86_64-cpython-38/merlin/transforms
creating build/lib.linux-x86_64-cpython-38/merlin/transforms/ops
copying merlin/transforms/ops/__init__.py -> build/lib.linux-x86_64-cpython-38/merlin/transforms/ops
package init file 'examples/tensorflow/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/examples
creating build/lib.linux-x86_64-cpython-38/examples/tensorflow
copying examples/tensorflow/callbacks.py -> build/lib.linux-x86_64-cpython-38/examples/tensorflow
package init file 'examples/getting-started-movielens/__init__.py' not found (or not a regular file)
package init file 'examples/multi-gpu-toy-example/__init__.py' not found (or not a regular file)
package init file 'examples/tabular-data-rossmann/__init__.py' not found (or not a regular file)
package init file 'examples/advanced-ops-outbrain/__init__.py' not found (or not a regular file)
package init file 'examples/multi-gpu-movielens/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
copying examples/multi-gpu-movielens/tf_trainer.py -> build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
copying examples/multi-gpu-movielens/torch_trainer_dist.py -> build/lib.linux-x86_64-cpython-38/examples/multi-gpu-movielens
package init file 'examples/scaling-criteo/__init__.py' not found (or not a regular file)
package init file 'examples/winning-solution-recsys2020-twitter/__init__.py' not found (or not a regular file)
package init file 'examples/tensorflow/docker/__init__.py' not found (or not a regular file)
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package init file 'examples/getting-started-movielens/imgs/__init__.py' not found (or not a regular file)
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creating build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_nvt_tf_inference.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_inf_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_notebooks.py -> build/lib.linux-x86_64-cpython-38/tests/integration
copying tests/integration/test_nvt_hugectr.py -> build/lib.linux-x86_64-cpython-38/tests/integration
package init file 'tests/integration/common/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration/common
copying tests/integration/common/utils.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common
package init file 'tests/integration/common/parsers/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/benchmark_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/rossmann_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
copying tests/integration/common/parsers/criteo_parsers.py -> build/lib.linux-x86_64-cpython-38/tests/integration/common/parsers
package init file 'tests/unit/loader/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_dataloader_backend.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_tf_dataloader.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
copying tests/unit/loader/test_torch_dataloader.py -> build/lib.linux-x86_64-cpython-38/tests/unit/loader
package init file 'tests/unit/framework_utils/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_tf_feature_columns.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_tf_layers.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
copying tests/unit/framework_utils/test_torch_layers.py -> build/lib.linux-x86_64-cpython-38/tests/unit/framework_utils
package init file 'tests/unit/ops/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_reduce_dtype_size.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_fill.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_lambda.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_categorify.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_ops_schema.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_drop_low_cardinality.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_target_encode.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_groupyby.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_column_similarity.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_join.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_normalize.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_hash_bucket.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
copying tests/unit/ops/test_ops.py -> build/lib.linux-x86_64-cpython-38/tests/unit/ops
package init file 'tests/unit/workflow/__init__.py' not found (or not a regular file)
creating build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_ops.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_cpu_workflow.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_schemas.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_node.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
copying tests/unit/workflow/test_workflow_chaining.py -> build/lib.linux-x86_64-cpython-38/tests/unit/workflow
package init file 'conda/environments/__init__.py' not found (or not a regular file)
package init file 'conda/recipes/__init__.py' not found (or not a regular file)
UPDATING build/lib.linux-x86_64-cpython-38/nvtabular/_version.py
set build/lib.linux-x86_64-cpython-38/nvtabular/_version.py to '1.1.1+15.gb643c6cf1'
running egg_info
creating nvtabular.egg-info
writing nvtabular.egg-info/PKG-INFO
writing dependency_links to nvtabular.egg-info/dependency_links.txt
writing requirements to nvtabular.egg-info/requires.txt
writing top-level names to nvtabular.egg-info/top_level.txt
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.proto' under directory 'nvtabular'
warning: no files found matching '*.h' under directory 'cpp'
warning: no files found matching '*.cu' under directory 'cpp'
warning: no files found matching '*.cuh' under directory 'cpp'
adding license file 'LICENSE'
writing manifest file 'nvtabular.egg-info/SOURCES.txt'
running build_ext
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -I/usr/include/python3.8 -c flagcheck.cpp -o flagcheck.o -std=c++17
building 'nvtabular_cpp' extension
creating build/temp.linux-x86_64-cpython-38
creating build/temp.linux-x86_64-cpython-38/cpp
creating build/temp.linux-x86_64-cpython-38/cpp/nvtabular
creating build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+15.gb643c6cf1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/__init__.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+15.gb643c6cf1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/__init__.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/__init__.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+15.gb643c6cf1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/categorify.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/categorify.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -fPIC -DVERSION_INFO=1.1.1+15.gb643c6cf1 -I./cpp/ -I/var/jenkins_home/.local/lib/python3.8/site-packages/pybind11/include -I/usr/include/python3.8 -c cpp/nvtabular/inference/fill.cc -o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/fill.o -std=c++17 -fvisibility=hidden -g0
x86_64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 build/temp.linux-x86_64-cpython-38/cpp/nvtabular/__init__.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/__init__.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/categorify.o build/temp.linux-x86_64-cpython-38/cpp/nvtabular/inference/fill.o -L/usr/lib -o build/lib.linux-x86_64-cpython-38/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so
copying build/lib.linux-x86_64-cpython-38/nvtabular_cpp.cpython-38-x86_64-linux-gnu.so -> 
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 1.1.1+15.gb643c6cf1 is already the active version in easy-install.pth

Installed /var/jenkins_home/workspace/nvtabular_tests/nvtabular

Running black --check

All done! ✨ 🍰 ✨

131 files would be left unchanged.

Running flake8

Running isort

Skipped 1 files

Running bandit

Running pylint




Your code has been rated at 10.00/10 (previous run: 10.00/10, +0.00)


Running flake8-nb

Building docs

make: Entering directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'

INFO:sphinxcontrib.copydirs.copydirs:Copying source documentation from: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/examples

INFO:sphinxcontrib.copydirs.copydirs:  ...to destination: /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/source/examples

INFO:numba.cuda.cudadrv.driver:init

INFO:traitlets:Writing 14816 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/advanced-ops-outbrain/01-Download-Convert.ipynb

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INFO:traitlets:Making directory /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/getting-started-movielens

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INFO:traitlets:Writing 44549 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/multi-gpu-toy-example/multi-gpu_dask.ipynb

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make: Leaving directory '/var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs'

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

platform linux -- Python 3.8.10, pytest-7.1.2, pluggy-1.0.0

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-3.0.0

collected 1420 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/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%]

........                                                                 [ 45%]

tests/unit/ops/test_groupyby.py ...............                          [ 46%]

tests/unit/ops/test_hash_bucket.py .........................             [ 48%]

tests/unit/ops/test_join.py ............................................ [ 51%]

........................................................................ [ 56%]

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

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

tests/unit/ops/test_normalize.py ....................................... [ 62%]

..                                                                       [ 62%]

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

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

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

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

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

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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:32

/usr/local/lib/python3.8/dist-packages/dask_cudf/core.py:32: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

DASK_VERSION = LooseVersion(dask.version)


../../../.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:351: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:351: 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: 2 warnings

tests/unit/test_tf4rec.py: 1 warning

tests/unit/test_tools.py: 6 warnings

tests/unit/test_triton_inference.py: 8 warnings

tests/unit/loader/test_dataloader_backend.py: 6 warnings

tests/unit/loader/test_tf_dataloader.py: 142 warnings

tests/unit/loader/test_torch_dataloader.py: 91 warnings

tests/unit/ops/test_categorify.py: 70 warnings

tests/unit/ops/test_drop_low_cardinality.py: 2 warnings

tests/unit/ops/test_fill.py: 8 warnings

tests/unit/ops/test_hash_bucket.py: 4 warnings

tests/unit/ops/test_join.py: 88 warnings

tests/unit/ops/test_lambda.py: 3 warnings

tests/unit/ops/test_normalize.py: 9 warnings

tests/unit/ops/test_ops.py: 11 warnings

tests/unit/ops/test_ops_schema.py: 17 warnings

tests/unit/workflow/test_workflow.py: 34 warnings

tests/unit/workflow/test_workflow_chaining.py: 1 warning

tests/unit/workflow/test_workflow_node.py: 1 warning

tests/unit/workflow/test_workflow_schemas.py: 1 warning

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:1292: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(


tests/unit/test_dask_nvt.py: 12 warnings

/var/jenkins_home/.local/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/.local/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/test_notebooks.py: 18 warnings

tests/unit/test_tools.py: 1213 warnings

tests/unit/loader/test_tf_dataloader.py: 20 warnings

tests/unit/loader/test_torch_dataloader.py: 432 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:3235: DeprecationWarning: Series.ceil and DataFrame.ceil are deprecated and will be                 removed in the future

warnings.warn(


tests/unit/test_tools.py::test_inspect_datagen[uniform-parquet]

tests/unit/test_tools.py::test_inspect_datagen[uniform-parquet]

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

tests/unit/ops/test_ops.py::test_data_stats[False-parquet]

/usr/local/lib/python3.8/dist-packages/cudf/core/series.py:958: FutureWarning: Series.set_index is deprecated and will be removed in the future

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/.local/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.py::test_difference_lag[False]

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py:3025: FutureWarning: The as_gpu_matrix method will be removed in a future cuDF release. Consider using to_cupy instead.

warnings.warn(


tests/unit/workflow/test_cpu_workflow.py: 6 warnings

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

/var/jenkins_home/.local/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/.local/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/.local/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 Branch BrPart  Cover   Missing


nvtabular/init.py                                             22      0      0      0   100%

nvtabular/dispatch.py                                              3      3      0      0     0%   18-23

nvtabular/framework_utils/init.py                              2      0      0      0   100%

nvtabular/framework_utils/tensorflow/init.py                   1      0      0      0   100%

nvtabular/framework_utils/tensorflow/feature_column_utils.py     134     78     90     15    39%   30, 99, 103, 114-130, 140, 143-158, 162, 166-167, 173-198, 207-217, 220-227, 229->233, 234, 239-279, 282

nvtabular/framework_utils/tensorflow/layers/init.py            4      0      0      0   100%

nvtabular/framework_utils/tensorflow/layers/embedding.py         153     12     89      6    91%   60, 68->49, 122, 179, 231-239, 335->343, 357->360, 363-364, 367

nvtabular/framework_utils/tensorflow/layers/interaction.py        47     25     22      1    45%   49, 74-103, 106-110, 113

nvtabular/framework_utils/tensorflow/layers/outer_product.py      30     24     12      0    19%   37-38, 41-60, 71-84, 87

nvtabular/framework_utils/tensorflow/tfrecords_to_parquet.py      58     58     30      0     0%   16-111

nvtabular/framework_utils/torch/init.py                        0      0      0      0   100%

nvtabular/framework_utils/torch/layers/init.py                 2      0      0      0   100%

nvtabular/framework_utils/torch/layers/embeddings.py              32      2     18      2    92%   50, 91

nvtabular/framework_utils/torch/models.py                         45      1     30      4    93%   57->61, 87->89, 93->96, 103

nvtabular/framework_utils/torch/utils.py                          75      5     34      5    91%   51->53, 64, 71->76, 75, 118-120

nvtabular/graph.py                                                 3      3      0      0     0%   18-23

nvtabular/inference/init.py                                    2      0      0      0   100%

nvtabular/inference/triton/init.py                            35      6     14      2    76%   38-45, 64, 68, 73->76

nvtabular/inference/triton/benchmarking_tools.py                  52     52     10      0     0%   2-103

nvtabular/inference/triton/data_conversions.py                    87      3     58      4    95%   32-33, 84

nvtabular/inference/triton/ensemble.py                           265    148     82      7    46%   85-89, 152-191, 235-283, 300-304, 376-384, 413-429, 481-491, 543-583, 589-605, 609-676, 706, 728, 734-753, 759-783, 790

nvtabular/inference/triton/model/init.py                       0      0      0      0   100%

nvtabular/inference/triton/model/model_pt.py                     101    101     42      0     0%   27-220

nvtabular/inference/triton/workflow_model.py                      55     55     24      0     0%   27-128

nvtabular/inference/workflow/init.py                           0      0      0      0   100%

nvtabular/inference/workflow/base.py                             113     14     62      7    85%   66, 70, 92, 119, 135->133, 163-171, 176->194, 200-203

nvtabular/inference/workflow/hugectr.py                           37     29     16      0    19%   35-38, 41-69, 73-75, 78-87

nvtabular/inference/workflow/pytorch.py                           10      0      6      0   100%

nvtabular/inference/workflow/tensorflow.py                        32      7     10      1    81%   56-63

nvtabular/io.py                                                    3      3      0      0     0%   18-23

nvtabular/loader/init.py                                       2      0      0      0   100%

nvtabular/loader/backend.py                                      371     17    154     12    94%   27-28, 142, 158-159, 299->301, 311-315, 362-363, 402->406, 403->402, 478, 482-483, 512, 588-589, 624, 632

nvtabular/loader/tensorflow.py                                   179     25     60      9    86%   38-39, 74, 85-89, 101, 115, 124, 329, 357, 368, 383-385, 414-416, 426-434, 437-440

nvtabular/loader/tf_utils.py                                      57     10     22      6    80%   31->34, 34->36, 41->43, 45, 46->67, 52-53, 61-63, 69-73

nvtabular/loader/torch.py                                         87     14     26      3    80%   28-30, 33-39, 114, 158-159, 164

nvtabular/ops/init.py                                         26      0      0      0   100%

nvtabular/ops/add_metadata.py                                     34      0     14      0   100%

nvtabular/ops/bucketize.py                                        40      9     20      3    73%   52-54, 58->exit, 61-64, 83-86

nvtabular/ops/categorify.py                                      660     67    348     49    87%   251, 253, 271, 275, 283, 291, 293, 320, 341-342, 391->395, 399-406, 452, 460, 483-484, 562-563, 637, 733, 750, 795, 873-874, 889-893, 894->858, 912, 920, 927->exit, 951, 954->957, 1006->1004, 1068, 1073, 1107->1111, 1113->1053, 1119-1122, 1134, 1138, 1142, 1149, 1154-1157, 1235, 1237, 1307->1330, 1313->1330, 1331-1336, 1381, 1394->1397, 1401->1406, 1405, 1411, 1414, 1422-1432

nvtabular/ops/clip.py                                             18      2      8      3    81%   44, 52->54, 55

nvtabular/ops/column_similarity.py                               121     26     38      5    74%   19-20, 29-30, 81->exit, 111, 206-207, 216-218, 226-242, 259->262, 263, 273

nvtabular/ops/data_stats.py                                       56      1     24      3    95%   107->109, 111, 113->103

nvtabular/ops/difference_lag.py                                   43      0     14      1    98%   73->75

nvtabular/ops/drop_low_cardinality.py                             18      0     10      1    96%   85->84

nvtabular/ops/dropna.py                                            9      0      2      0   100%

nvtabular/ops/fill.py                                             76      2     30      2    96%   64, 109

nvtabular/ops/filter.py                                           20      1      8      1    93%   49

nvtabular/ops/groupby.py                                         135      4     88      5    96%   82, 94, 104->106, 149, 241

nvtabular/ops/hash_bucket.py                                      43      1     22      2    95%   79, 118->124

nvtabular/ops/hashed_cross.py                                     38      3     17      3    89%   52, 64, 92

nvtabular/ops/join_external.py                                    96      8     34      7    88%   20-21, 114, 116, 118, 150->152, 205-206, 216->227, 221

nvtabular/ops/join_groupby.py                                    128      5     57      6    94%   113, 120, 129, 136->135, 178->175, 181->175, 260-261

nvtabular/ops/lambdaop.py                                         62      6     22      6    86%   60, 64, 82, 95, 100, 109

nvtabular/ops/list_slice.py                                       89     29     42      0    64%   21-22, 146-160, 168-190

nvtabular/ops/logop.py                                            21      0      6      0   100%

nvtabular/ops/moments.py                                          69      0     24      0   100%

nvtabular/ops/normalize.py                                        93      3     22      1    95%   139-140, 167

nvtabular/ops/operator.py                                         11      0      2      0   100%

nvtabular/ops/reduce_dtype_size.py                                49      0     20      2    97%   68->77, 74->77

nvtabular/ops/rename.py                                           29      3     14      3    86%   46, 71-73

nvtabular/ops/stat_operator.py                                     8      0      2      0   100%

nvtabular/ops/target_encoding.py                                 182      9     76      5    93%   168->172, 176->185, 274, 283-284, 297-303, 396->399

nvtabular/ops/value_counts.py                                     34      0      6      1    98%   40->38

nvtabular/tools/init.py                                        0      0      0      0   100%

nvtabular/tools/data_gen.py                                      271     25     90      7    91%   26-27, 31-32, 129-132, 142-146, 148, 170-171, 322, 332, 358, 361-370

nvtabular/tools/dataset_inspector.py                              52      8     24      2    79%   33-40, 51

nvtabular/tools/inspector_script.py                               46     46      0      0     0%   17-168

nvtabular/utils.py                                                 3      0      0      0   100%

nvtabular/worker.py                                                3      3      0      0     0%   18-23

nvtabular/workflow/init.py                                     2      0      0      0   100%

nvtabular/workflow/node.py                                         7      0      4      0   100%

nvtabular/workflow/workflow.py                                   219     17     94     12    91%   28-29, 52, 85, 206, 212->226, 239-241, 373, 388-389, 431, 508, 538, 548-550, 563


TOTAL                                                           4910    973   2093    214    79%

Coverage XML written to file coverage.xml


Required test coverage of 70% reached. Total coverage: 78.72%

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

SKIPPED [1] ../../../../../usr/local/lib/python3.8/dist-packages/dask_cudf/io/tests/test_s3.py:17: could not import 's3fs': cannot import name 'resolve_checksum_context' from 'botocore.client' (/var/jenkins_home/.local/lib/python3.8/site-packages/botocore/client.py)

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

========= 1419 passed, 2 skipped, 2343 warnings in 1076.57s (0:17:56) ==========

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/jenkins1391227450483016198.sh

@karlhigley karlhigley linked an issue Jun 8, 2022 that may be closed by this pull request
[BUG] Unit tests hang on Tritonserver run #1575
Closed
@karlhigley karlhigley merged commit c819631 into NVIDIA-Merlin:main Jun 8, 2022
@benfred benfred added the bug Something isn't working label Jun 14, 2022
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@karlhigley karlhigley karlhigley approved these changes

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[BUG] Unit tests hang on Tritonserver run
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@jperez999 @nvidia-merlin-bot @karlhigley @benfred