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docs: Add TF compat info #1528

Merged
merged 1 commit into from
Jun 27, 2022
Merged

docs: Add TF compat info #1528

merged 1 commit into from
Jun 27, 2022

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@mikemckiernan mikemckiernan commented Apr 28, 2022 •
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https://nvidia-merlin.github.io/NVTabular/review/pr-1528

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GitHub pull request #1528 of commit 1cedb9dc3aa64460c1287495983009bf0c068723, no merge conflicts.
Running as SYSTEM
Setting status of 1cedb9dc3aa64460c1287495983009bf0c068723 to PENDING with url http://10.20.13.93:8080/job/nvtabular_tests/4444/ and message: 'Pending'
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/1528/*:refs/remotes/origin/pr/1528/* # timeout=10
 > git rev-parse 1cedb9dc3aa64460c1287495983009bf0c068723^{commit} # timeout=10
Checking out Revision 1cedb9dc3aa64460c1287495983009bf0c068723 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1cedb9dc3aa64460c1287495983009bf0c068723 # timeout=10
Commit message: "docs: Add TF compat info"
 > git rev-list --no-walk 3b6698185b128d72e070fe88bf1041f64baf78ef # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins3397049648226701159.sh
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (60.9.3)
Collecting setuptools
  Downloading setuptools-62.1.0-py3-none-any.whl (1.1 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.1/1.1 MB 5.5 MB/s eta 0:00:00
Installing collected packages: setuptools
  Attempting uninstall: setuptools
    Found existing installation: setuptools 60.9.3
    Uninstalling setuptools-60.9.3:
      Successfully uninstalled setuptools-60.9.3
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.
google-auth 1.35.0 requires cachetools<5.0,>=2.0.0, but you have cachetools 5.0.0 which is incompatible.
tensorflow-gpu 2.8.0 requires keras<2.9,>=2.8.0rc0, but you have keras 2.6.0 which is incompatible.
tensorflow-gpu 2.8.0 requires tensorboard<2.9,>=2.8, but you have tensorboard 2.6.0 which is incompatible.
Successfully installed setuptools-62.1.0
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 (22.0.4)
Requirement already satisfied: setuptools in /usr/local/lib/python3.8/dist-packages (62.1.0)
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+44.g50eb7ef1
Uninstalling nvtabular-0.11.0+44.g50eb7ef1:
  Successfully uninstalled nvtabular-0.11.0+44.g50eb7ef1
Found existing installation: merlin-core 0.1.1+21.g32e4695
Uninstalling merlin-core-0.1.1+21.g32e4695:
  Successfully uninstalled merlin-core-0.1.1+21.g32e4695
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-i2ckcehr/merlin-core_24e3d258f9ae44aab45e15e58f20a9a9
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-install-i2ckcehr/merlin-core_24e3d258f9ae44aab45e15e58f20a9a9
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 69ccd2650c5cb3b19ca2ceb7863032dee99199be
  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: 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: pyarrow>=1.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (5.0.0)
Requirement already satisfied: numba>=0.53.1 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: 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: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (3.20.0)
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) (1.7.0)
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: 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: dask==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: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (4.63.1)
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) (2021.11.0)
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: 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: 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) (2.0.0)
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: 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: 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: setuptools in /usr/local/lib/python3.8/dist-packages (from distributed==2021.11.2->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (62.1.0)
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: 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: 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: 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: 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: 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: 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: llvmlite<0.39,>=0.38.0rc1 in /usr/local/lib/python3.8/dist-packages (from numba>=0.53.1->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.38.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.53.1->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) (3.0.7)
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: 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) (1.56.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /var/jenkins_home/.local/lib/python3.8/site-packages/absl_py-0.12.0-py3.8.egg (from tensorflow-metadata>=1.2.0->merlin-core@ git+https://github.com/NVIDIA-Merlin/core.git) (0.12.0)
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: 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: 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: 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: 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)
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)
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-0.2.0+6.g69ccd26-py3-none-any.whl size=133428 sha256=b2efb25ac3a4e4469a967795fcc64302b8e5842988d25517ded8a17925d5b73d
  Stored in directory: /tmp/pip-ephem-wheel-cache-j4kae1e6/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
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+untagged.28.gf4069d6 requires merlin-core==0.1.1, but you have merlin-core 0.2.0+6.g69ccd26 which is incompatible.
Successfully installed merlin-core-0.2.0+6.g69ccd26
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)
running develop
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'
/usr/local/lib/python3.8/dist-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
  warnings.warn(
/usr/local/lib/python3.8/dist-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)
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)
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/api/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/__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 'docs/source/api/ops/__init__.py' not found (or not a regular file)
package init file 'docs/source/api/workflow/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/getting-started-movielens/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/tabular-data-rossmann/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/advanced-ops-outbrain/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/scaling-criteo/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/winning-solution-recsys2020-twitter/__init__.py' not found (or not a regular file)
package init file 'docs/source/examples/scaling-criteo/imgs/__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)
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)
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)
package init file 'bench/torch/criteo/__init__.py' not found (or not a regular file)
package init file 'examples/tensorflow/__init__.py' not found (or not a regular file)
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)
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)
package init file 'examples/tensorflow/imgs/__init__.py' not found (or not a regular file)
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)
package init file 'tests/integration/common/__init__.py' not found (or not a regular file)
package init file 'tests/integration/common/parsers/__init__.py' not found (or not a regular file)
package init file 'tests/unit/loader/__init__.py' not found (or not a regular file)
package init file 'tests/unit/framework_utils/__init__.py' not found (or not a regular file)
package init file 'tests/unit/ops/__init__.py' not found (or not a regular file)
package init file 'tests/unit/workflow/__init__.py' not found (or not a regular file)
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)
reading manifest template 'MANIFEST.in'
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
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=1.0.0+11.g1cedb9dc -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=1.0.0+11.g1cedb9dc -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=1.0.0+11.g1cedb9dc -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=1.0.0+11.g1cedb9dc -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
creating build/lib.linux-x86_64-cpython-38
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 -> 
Generating nvtabular/inference/triton/model_config_pb2.py from nvtabular/inference/triton/model_config.proto
Creating /var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular.egg-link (link to .)
nvtabular 1.0.0+11.g1cedb9dc 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 2 files

Running bandit

Running pylint

************* Module bench.datasets.tools.train_hugectr

bench/datasets/tools/train_hugectr.py:28:13: I1101: Module 'hugectr' has no 'solver_parser_helper' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)

bench/datasets/tools/train_hugectr.py:41:16: I1101: Module 'hugectr' has no 'optimizer' member, but source is unavailable. Consider adding this module to extension-pkg-allow-list if you want to perform analysis based on run-time introspection of living objects. (c-extension-no-member)




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'

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.9) or chardet (3.0.4) doesn't match a supported version!

warnings.warn("urllib3 ({}) or chardet ({}) doesn't match a supported "

/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document

warn("Container node skipped: type={0}".format(mdnode.t))

/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document

warn("Container node skipped: type={0}".format(mdnode.t))

/usr/local/lib/python3.8/dist-packages/recommonmark/parser.py:75: UserWarning: Container node skipped: type=document

warn("Container node skipped: type={0}".format(mdnode.t))

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

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

platform linux -- Python 3.8.10, pytest-7.1.1, pluggy-1.0.0

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

plugins: xdist-2.5.0, forked-1.4.0, cov-3.0.0

collected 1422 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%]

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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 ...............                          [ 47%]

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

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

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

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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%]

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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/fsspec/spec.py:92

../../../../../usr/local/lib/python3.8/dist-packages/fsspec/spec.py:92

/usr/local/lib/python3.8/dist-packages/fsspec/spec.py:92: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if pa_version and LooseVersion(pa_version) < LooseVersion("2.0"):


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

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

DASK_VERSION = LooseVersion(dask.version)


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

/usr/local/lib/python3.8/dist-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: 93 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/lib/python3.8/site-packages/cudf/core/dataframe.py:1253: UserWarning: The deep parameter is ignored and is only included for pandas compatibility.

warnings.warn(


tests/unit/test_dask_nvt.py: 12 warnings

/core/merlin/io/dataset.py:863: 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

/core/merlin/core/utils.py:433: 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_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/lib/python3.8/site-packages/cudf/core/series.py:923: 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

/core/merlin/io/dataset.py:863: UserWarning: Only created 1 files did not have enough partitions to create 2 files.

warnings.warn(


tests/unit/loader/test_torch_dataloader.py::test_horovod_multigpu

tests/unit/loader/test_torch_dataloader.py::test_distributed_multigpu

/core/merlin/io/dataset.py:863: UserWarning: Only created 1 files did not have enough partitions to create 5 files.

warnings.warn(


tests/unit/ops/test_categorify.py::test_categorify_max_size[6]

tests/unit/ops/test_categorify.py::test_categorify_max_size[max_emb_size1]

tests/unit/ops/test_categorify.py::test_categorify_max_size_null_iloc_check

/usr/lib/python3.8/site-packages/cudf/core/frame.py:3077: FutureWarning: keep_index is deprecated and will be removed in the future.

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/lib/python3.8/site-packages/cudf/core/dataframe.py:3041: 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

/core/merlin/io/dataset.py:863: UserWarning: Only created 1 files did not have enough partitions to create 10 files.

warnings.warn(


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

/core/merlin/io/dataset.py:863: 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]

/core/merlin/io/dataset.py:863: 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


examples/multi-gpu-movielens/torch_trainer.py                     65      0      6      1    99%   32->36

examples/multi-gpu-movielens/torch_trainer_dist.py                63      0      2      0   100%

nvtabular/init.py                                             22      2      0      0    91%   44-45

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     13     89      6    90%   60, 68->49, 122, 179, 231-239, 242, 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      2     30     10    84%   55->57, 57->61, 61->63, 66->68, 87->89, 89->93, 93->96, 96->100, 103, 108

nvtabular/framework_utils/torch/utils.py                          75     19     34      9    69%   22, 25-33, 51->53, 53->55, 64, 71->76, 75, 107, 118-120, 124-127, 132->115

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     12     14      1    58%   42-49, 68, 72, 76-82

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                           266    200     82      3    25%   73-112, 157-196, 240-288, 292-323, 381-389, 418-434, 477-520, 548-588, 594-610, 614-681, 711, 733, 739-758, 764-788, 793-796

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                   299      0      2      0   100%

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     19    154     15    94%   27-28, 112, 116->108, 142, 158-159, 299->301, 311-315, 362-363, 402->406, 403->402, 478, 482-483, 512, 588-589, 598, 624, 632

nvtabular/loader/tensorflow.py                                   179     26     60     10    85%   38-39, 74, 85-89, 101, 105, 115, 124, 329, 357, 368, 383-385, 414-416, 426-434, 437-440

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     16     26      3    78%   28-30, 33-39, 114, 158-159, 164, 202, 205

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     70    348     49    86%   251, 253, 271, 275, 283, 291, 293, 320, 341-342, 391->395, 399-406, 452, 460, 483-484, 561-566, 637, 733, 750, 795, 873-874, 889-893, 894->858, 912, 920, 927->exit, 951, 954->957, 1006->1004, 1068, 1073, 1075->1090, 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      5     30      1    92%   63-67, 109

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

nvtabular/ops/groupby.py                                         135      4     88      5    96%   74, 86, 96->98, 141, 233

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      8    88%   20-21, 114, 116, 118, 137->141, 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     13     22      3    71%   60, 64, 82, 94-109

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      4     22      1    94%   89, 139-140, 167

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

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      3      0      0     0%   18-23

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                                                           5339   1231   2103    213    75%

Coverage XML written to file coverage.xml


Required test coverage of 70% reached. Total coverage: 74.78%

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

SKIPPED [1] ../../../../../usr/lib/python3.8/site-packages/dask_cudf/io/tests/test_s3.py:16: could not import 's3fs': cannot import name 'ParamSpec' from 'typing_extensions' (/var/jenkins_home/.local/lib/python3.8/site-packages/typing_extensions.py)

SKIPPED [1] tests/unit/loader/test_tf_dataloader.py:529: not working correctly in ci environment

========== 1421 passed, 2 skipped, 669 warnings in 1296.90s (0:21:36) ==========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[nvtabular_tests] $ /bin/bash /tmp/jenkins5539675912254630109.sh

@mikemckiernan mikemckiernan added the documentation Improvements or additions to documentation label May 20, 2022
@bschifferer bschifferer self-requested a review May 23, 2022 20:40
@mikemckiernan mikemckiernan added documentation Improvements or additions to documentation examples and removed documentation Improvements or additions to documentation labels Jun 13, 2022
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GitHub pull request #1528 of commit c86bc729bf4272962c5de7320bcf7ed3efd44c56, no merge conflicts.
Running as SYSTEM
Setting status of c86bc729bf4272962c5de7320bcf7ed3efd44c56 to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4510/ 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/1528/*:refs/remotes/origin/pr/1528/* # timeout=10
 > git rev-parse c86bc729bf4272962c5de7320bcf7ed3efd44c56^{commit} # timeout=10
Checking out Revision c86bc729bf4272962c5de7320bcf7ed3efd44c56 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c86bc729bf4272962c5de7320bcf7ed3efd44c56 # timeout=10
Commit message: "docs: Add TF compat info"
 > git rev-list --no-walk 3ac8bd2fc98475ec68439a261b557189499454f5 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins2344231964514083407.sh
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 (62.3.4)
Collecting setuptools
  Downloading setuptools-62.4.0-py3-none-any.whl (1.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 9.5 MB/s eta 0:00:00
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)
Installing collected packages: setuptools
  Attempting uninstall: setuptools
    Found existing installation: setuptools 62.3.4
    Uninstalling setuptools-62.3.4:
      Successfully uninstalled setuptools-62.3.4
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.
dask-cudf 22.2.0 requires cupy-cuda116, which is not installed.
cudf 22.2.0 requires cupy-cuda116, which is not installed.
google-auth 1.35.0 requires cachetools<5.0,>=2.0.0, but you have cachetools 5.1.0 which is incompatible.
tensorflow-gpu 2.9.1 requires keras<2.10.0,>=2.9.0rc0, but you have keras 2.6.0 which is incompatible.
tensorflow-gpu 2.9.1 requires tensorboard<2.10,>=2.9, but you have tensorboard 2.6.0 which is incompatible.
tensorflow-gpu 2.9.1 requires tensorflow-estimator<2.10.0,>=2.9.0rc0, but you have tensorflow-estimator 2.6.0 which is incompatible.
Successfully installed setuptools-62.4.0
Found existing installation: nvtabular 1.1.1+15.ga6733bbb4
Uninstalling nvtabular-1.1.1+15.ga6733bbb4:
  Successfully uninstalled nvtabular-1.1.1+15.ga6733bbb4
Found existing installation: merlin-core 0.3.0+12.g78ecddd
Uninstalling merlin-core-0.3.0+12.g78ecddd:
  Successfully uninstalled merlin-core-0.3.0+12.g78ecddd
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-x0zvhovy/merlin-core_b0b75fca65b847659ab2c790cfd6f2b0
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-install-x0zvhovy/merlin-core_b0b75fca65b847659ab2c790cfd6f2b0
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78ecdddf83735fa3041e0778d6fdac37c3c1dd92
  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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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) (62.4.0)
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: 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: 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+12.g78ecddd-py3-none-any.whl size=109505 sha256=b2ac06efe5d906fd840e65ab3c876c8ce8e4a7b5ffa0fe2c1e4ef49cde871b95
  Stored in directory: /tmp/pip-ephem-wheel-cache-2nr5xrqa/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.1.1+18.g311af31
    Uninstalling merlin-core-0.1.1+18.g311af31:
      Successfully uninstalled merlin-core-0.1.1+18.g311af31
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+13.g6bc1347 requires nvtabular>=1.0.0, which is not installed.
Successfully installed merlin-core-0.3.0+12.g78ecddd
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: 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: ipython in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (8.4.0)
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: 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: 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: nbformat~=5.0 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (5.4.0)
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 myst-nb<0.14) (5.4.1)
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: importlib-metadata in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (4.11.4)
Requirement already satisfied: docutils<0.18,>=0.15 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (0.16)
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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: uc-micro-py in /var/jenkins_home/.local/lib/python3.8/site-packages (from linkify-it-py<1.1) (1.0.1)
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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: matplotlib-inline in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.1.3)
Requirement already satisfied: backcall in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.2.0)
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Requirement already satisfied: pickleshare in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.7.5)
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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-fokiqauh/sphinxcontrib-copydirs_712216432aea4c24826fae7d6c31b629
  Running command git clone --filter=blob:none --quiet https://github.com/mikemckiernan/sphinxcontrib-copydirs.git /tmp/pip-install-fokiqauh/sphinxcontrib-copydirs_712216432aea4c24826fae7d6c31b629
  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)
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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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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)
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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)
package init file 'examples/tensorflow/docker/__init__.py' not found (or not a regular file)
package init file 'examples/tensorflow/imgs/__init__.py' not found (or not a regular file)
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)
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+16.gc86bc729b'
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+16.gc86bc729b -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+16.gc86bc729b -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+16.gc86bc729b -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+16.gc86bc729b -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+16.gc86bc729b 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

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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

INFO:traitlets:Writing 17586 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/tabular-data-rossmann/03-Training-with-PyTorch.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_criteo_tf_notebook ____________________________


tmpdir = local('/tmp/pytest-of-jenkins/pytest-5/test_criteo_tf_notebook0')


def test_criteo_tf_notebook(tmpdir):
    tor = pytest.importorskip("tensorflow")  # noqa
    # create a toy dataset in tmpdir, and point environment variables so the notebook
    # will read from it
    os.system("mkdir -p " + os.path.join(tmpdir, "converted/criteo"))
    for i in range(24):
        df = _get_random_criteo_data(1000)
        df.to_parquet(os.path.join(tmpdir, "converted/criteo", f"day_{i}.parquet"))
    os.environ["BASE_DIR"] = str(tmpdir)

    def _nb_modify(line):
        # Disable LocalCUDACluster
        line = line.replace("client.run(_rmm_pool)", "# client.run(_rmm_pool)")
        line = line.replace("if cluster is None:", "if False:")
        line = line.replace("client = Client(cluster)", "# client = Client(cluster)")
        line = line.replace(
            "workflow = nvt.Workflow(features, client=client)", "workflow = nvt.Workflow(features)"
        )
        line = line.replace("client", "# client")
        line = line.replace("NUM_GPUS = [0, 1, 2, 3, 4, 5, 6, 7]", "NUM_GPUS = [0]")
        line = line.replace("part_size = int(part_mem_frac * device_size)", "part_size = '128MB'")

        return line

    _run_notebook(
        tmpdir,
        os.path.join(
            dirname(TEST_PATH),
            "examples/scaling-criteo/",
            "02-ETL-with-NVTabular.ipynb",
        ),
        # disable rmm.reinitialize, seems to be causing issues
        transform=_nb_modify,
    )

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





  _run_notebook(





        tmpdir,
        os.path.join(
            dirname(TEST_PATH),
            "examples/scaling-criteo/",
            "03-Training-with-TF.ipynb",
        ),
        transform=_modify_tf_nb,
    )



tests/unit/test_notebooks.py:80:




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-5/test_criteo_tf_notebook0/notebook.py'],)

kwargs = {'stdout': -1}, process = <subprocess.Popen object at 0x7fdf55e9f2b0>

stdout = b"\r1/1 [==============================] - ETA: 0s - loss: 0.6932\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08...0.6932\n{'val_loss': 0.6888501}\nrun_time: 2.9239425659179688  - rows:  78 - epochs: 1 - dl_thru: 26.676310577773602\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-5/test_criteo_tf_notebook0/notebook.py']' returned non-zero exit status 1.


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

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

/tmp/pytest-of-jenkins/pytest-5/test_criteo_tf_notebook0/notebook.py:92: UserWarning: BEWARE - 3.291283456 GB is already occupied on device 0!

warnings.warn(f"BEWARE - {used} GB is already occupied on device {int(dev)}!")

/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(

2022-06-13 15:16:34.124926: 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.

2022-06-13 15:16:35.128366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-06-13 15:16:35.129264: 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(

Traceback (most recent call last):

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/function_serialization.py", line 60, in serialize_concrete_function

bound_inputs.append(node_ids[capture])

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/object_identity.py", line 135, in getitem

return self._storage[self._wrap_key(key)]

KeyError: <_ObjectIdentityWrapper wrapping <tf.Tensor: shape=(), dtype=resource, value=<ResourceHandle(name="Resource-37-at-0x49779fc0", device="/job:localhost/replica:0/task:0/device:GPU:0", container="Anonymous", type="tensorflow::Var", dtype and shapes : "[ DType enum: 1, Shape: [] ]")>>>


During handling of the above exception, another exception occurred:


Traceback (most recent call last):

File "/tmp/pytest-of-jenkins/pytest-5/test_criteo_tf_notebook0/notebook.py", line 109, in 

model.save(os.path.join(input_path, "model.savedmodel"))

File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 2145, in save

save.save_model(self, filepath, overwrite, include_optimizer, save_format,

File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 149, in save_model

saved_model_save.save(model, filepath, overwrite, include_optimizer,

File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/save.py", line 90, in save

saved_nodes, node_paths = save_lib.save_and_return_nodes(

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1325, in save_and_return_nodes

_build_meta_graph(obj, signatures, options, meta_graph_def))

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1491, in _build_meta_graph

return _build_meta_graph_impl(obj, signatures, options, meta_graph_def)

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1454, in _build_meta_graph_impl

object_graph_proto = _serialize_object_graph(

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1027, in _serialize_object_graph

serialized = function_serialization.serialize_concrete_function(

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/function_serialization.py", line 62, in serialize_concrete_function

raise KeyError(

KeyError: 'Failed to add concrete function 'b'__inference_train_function_3740'' to object-based SavedModel as it captures tensor <tf.Tensor: shape=(), dtype=resource, value=<ResourceHandle(name="Resource-37-at-0x49779fc0", device="/job:localhost/replica:0/task:0/device:GPU:0", container="Anonymous", type="tensorflow::Var", dtype and shapes : "[ DType enum: 1, Shape: [] ]")>> which is unsupported or not reachable from root. One reason could be that a stateful object or a variable that the function depends on is not assigned to an attribute of the serialized trackable object (see SaveTest.test_captures_unreachable_variable).'

=============================== 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:346: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


nvtabular/loader/init.py:19

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

warnings.warn(


tests/unit/test_dask_nvt.py::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(


-- 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      2      0      0    91%   44-45

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     90     89     11    38%   31-32, 39, 51-60, 68-69, 73-75, 79-93, 104-111, 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     25     18      0    22%   37-46, 49-54, 74-82, 85-95

nvtabular/framework_utils/torch/models.py                         45     40     30      0     9%   52-82, 85-110

nvtabular/framework_utils/torch/utils.py                          75     66     34      0    12%   22, 25-33, 42-44, 47-55, 58-76, 106-140

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     23     14      0    24%   34-53, 57-60, 64, 68, 72-78

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                           265    239     82      0     7%   68-107, 152-191, 235-283, 287-318, 343-363, 376-384, 400-457, 472-515, 543-583, 589-605, 609-676, 680-695, 703-728, 734-753, 759-783, 788-791

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    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    122    154     36    61%   27-28, 84, 92, 97-98, 112, 116->108, 125, 137-142, 145->exit, 157-159, 163-167, 170, 178, 179->181, 235, 265->268, 271-275, 278-281, 286, 291-293, 299-305, 311-315, 325-326, 334, 357, 362-363, 379->383, 383->387, 389-400, 402->406, 403->402, 417-420, 428, 431, 436-458, 462-487, 508-517, 551, 569-570, 578->581, 582-592, 596-599, 610, 617-618, 623-627, 632

nvtabular/loader/tensorflow.py                                   179     67     60     14    59%   38-39, 62-89, 101, 105, 110-115, 124, 311-313, 329, 332, 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     56     26      0    33%   28-30, 33-39, 90, 110, 113-115, 118-120, 123-131, 134-136, 139, 142, 146, 150, 154-166, 169, 174-179, 182-187, 190-191, 202, 205

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    180    348     85    68%   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, 606, 618-620, 625->627, 628, 629->631, 635, 637, 646, 725, 727->730, 733, 750, 759-764, 795, 801, 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, 1340-1341, 1348-1349, 1354, 1358-1366, 1369, 1380-1388, 1393, 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     74     34      0    18%   20-21, 101-119, 124-152, 155-159, 162-170, 181-182, 186-187, 190-199, 202-206, 209, 212, 216-227

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     40     22      0    29%   58-70, 74-83, 89, 94-109, 112-113, 116-123, 127, 131, 135, 139

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    223     90      0    17%   26-27, 31-32, 52-54, 57, 62, 65-75, 78, 88-90, 97-106, 116-159, 162-175, 180-188, 191-198, 206-222, 231-261, 265-291, 295-313, 316-325, 329-335, 341-352, 355-358, 361-370, 378-380, 396-402, 422-432, 437-439, 479-493

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     28     94     15    86%   28-29, 52, 85, 121-122, 126, 130, 167-168, 187->190, 206, 212->226, 239-241, 257, 373, 388-389, 431, 508, 528, 538-546, 548-550, 563


TOTAL                                                           4910   2780   2093    207    39%

Coverage XML written to file coverage.xml


FAIL Required test coverage of 70% not reached. Total coverage: 39.37%

=========================== 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, 116 passed, 1 skipped, 51 warnings in 134.01s (0:02:14) =======

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[nvtabular_tests] $ /bin/bash /tmp/jenkins4626950108969646543.sh

@mikemckiernan
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rerun tests

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GitHub pull request #1528 of commit c86bc729bf4272962c5de7320bcf7ed3efd44c56, no merge conflicts.
GitHub pull request #1528 of commit c86bc729bf4272962c5de7320bcf7ed3efd44c56, no merge conflicts.
GitHub pull request #1528 of commit c86bc729bf4272962c5de7320bcf7ed3efd44c56, no merge conflicts.
Running as SYSTEM
Setting status of c86bc729bf4272962c5de7320bcf7ed3efd44c56 to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4511/ 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/1528/*:refs/remotes/origin/pr/1528/* # timeout=10
 > git rev-parse c86bc729bf4272962c5de7320bcf7ed3efd44c56^{commit} # timeout=10
Checking out Revision c86bc729bf4272962c5de7320bcf7ed3efd44c56 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c86bc729bf4272962c5de7320bcf7ed3efd44c56 # timeout=10
Commit message: "docs: Add TF compat info"
 > git rev-list --no-walk c86bc729bf4272962c5de7320bcf7ed3efd44c56 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins1903073261765598849.sh
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 (62.4.0)
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)
WARNING: Skipping nvtabular as it is not installed.
Found existing installation: merlin-core 0.3.0+12.g78ecddd
Uninstalling merlin-core-0.3.0+12.g78ecddd:
  Successfully uninstalled merlin-core-0.3.0+12.g78ecddd
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-k9w3mt58/merlin-core_c651e3acaec14e62ad8d3c0d9bf380e7
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-install-k9w3mt58/merlin-core_c651e3acaec14e62ad8d3c0d9bf380e7
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78ecdddf83735fa3041e0778d6fdac37c3c1dd92
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: dask>=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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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) (62.4.0)
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)
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: 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: 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: 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: 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: 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: 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+12.g78ecddd-py3-none-any.whl size=109505 sha256=ca3de7d1514d91c4fb367b29910c4efe36267974ee9c8071d67a7cca200bd30a
  Stored in directory: /tmp/pip-ephem-wheel-cache-nvy3xffs/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
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+13.g6bc1347 requires nvtabular>=1.0.0, which is not installed.
Successfully installed merlin-core-0.3.0+12.g78ecddd
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: docutils<0.18,>=0.15 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (0.16)
Requirement already satisfied: ipython in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (8.4.0)
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: 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: nbconvert<7,>=5.6 in /usr/local/lib/python3.8/dist-packages (from myst-nb<0.14) (6.5.0)
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: 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: jupyter-cache~=0.4.1 in /var/jenkins_home/.local/lib/python3.8/site-packages (from myst-nb<0.14) (0.4.3)
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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: 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: 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: 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: 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: 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: 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: 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: stack-data in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.2.0)
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Requirement already satisfied: jedi>=0.16 in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (0.18.1)
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Requirement already satisfied: setuptools>=18.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from ipython->myst-nb<0.14) (62.4.0)
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: 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: decorator in /usr/local/lib/python3.8/dist-packages (from ipython->myst-nb<0.14) (5.1.1)
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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-266z5dkh/sphinxcontrib-copydirs_fadb1d1b08a04790a7f67df6cd7498ba
  Running command git clone --filter=blob:none --quiet https://github.com/mikemckiernan/sphinxcontrib-copydirs.git /tmp/pip-install-266z5dkh/sphinxcontrib-copydirs_fadb1d1b08a04790a7f67df6cd7498ba
  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)
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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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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)
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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)
package init file 'examples/tensorflow/docker/__init__.py' not found (or not a regular file)
package init file 'examples/tensorflow/imgs/__init__.py' not found (or not a regular file)
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)
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+16.gc86bc729b'
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+16.gc86bc729b -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+16.gc86bc729b -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+16.gc86bc729b -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+16.gc86bc729b -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+16.gc86bc729b 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

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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

INFO:traitlets:Writing 17586 bytes to /var/jenkins_home/workspace/nvtabular_tests/nvtabular/docs/build/jupyter_execute/examples/tabular-data-rossmann/03-Training-with-PyTorch.ipynb

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INFO:traitlets:Support files will be in

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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_criteo_tf_notebook ____________________________


tmpdir = local('/tmp/pytest-of-jenkins/pytest-7/test_criteo_tf_notebook0')


def test_criteo_tf_notebook(tmpdir):
    tor = pytest.importorskip("tensorflow")  # noqa
    # create a toy dataset in tmpdir, and point environment variables so the notebook
    # will read from it
    os.system("mkdir -p " + os.path.join(tmpdir, "converted/criteo"))
    for i in range(24):
        df = _get_random_criteo_data(1000)
        df.to_parquet(os.path.join(tmpdir, "converted/criteo", f"day_{i}.parquet"))
    os.environ["BASE_DIR"] = str(tmpdir)

    def _nb_modify(line):
        # Disable LocalCUDACluster
        line = line.replace("client.run(_rmm_pool)", "# client.run(_rmm_pool)")
        line = line.replace("if cluster is None:", "if False:")
        line = line.replace("client = Client(cluster)", "# client = Client(cluster)")
        line = line.replace(
            "workflow = nvt.Workflow(features, client=client)", "workflow = nvt.Workflow(features)"
        )
        line = line.replace("client", "# client")
        line = line.replace("NUM_GPUS = [0, 1, 2, 3, 4, 5, 6, 7]", "NUM_GPUS = [0]")
        line = line.replace("part_size = int(part_mem_frac * device_size)", "part_size = '128MB'")

        return line

    _run_notebook(
        tmpdir,
        os.path.join(
            dirname(TEST_PATH),
            "examples/scaling-criteo/",
            "02-ETL-with-NVTabular.ipynb",
        ),
        # disable rmm.reinitialize, seems to be causing issues
        transform=_nb_modify,
    )

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





  _run_notebook(





        tmpdir,
        os.path.join(
            dirname(TEST_PATH),
            "examples/scaling-criteo/",
            "03-Training-with-TF.ipynb",
        ),
        transform=_modify_tf_nb,
    )



tests/unit/test_notebooks.py:80:




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-7/test_criteo_tf_notebook0/notebook.py'],)

kwargs = {'stdout': -1}, process = <subprocess.Popen object at 0x7f6a5ee56370>

stdout = b"\r1/1 [==============================] - ETA: 0s - loss: 0.6935\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08\x08... 0.6935\n{'val_loss': 0.689719}\nrun_time: 2.8455374240875244  - rows:  78 - epochs: 1 - dl_thru: 27.411342173794175\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-7/test_criteo_tf_notebook0/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(

2022-06-13 15:49:40.171249: 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.

2022-06-13 15:49:41.155536: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 8139 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-06-13 15:49:41.156253: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 15157 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(

Traceback (most recent call last):

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/function_serialization.py", line 60, in serialize_concrete_function

bound_inputs.append(node_ids[capture])

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/util/object_identity.py", line 135, in getitem

return self._storage[self._wrap_key(key)]

KeyError: <_ObjectIdentityWrapper wrapping <tf.Tensor: shape=(), dtype=resource, value=<ResourceHandle(name="Resource-37-at-0x49e383b0", device="/job:localhost/replica:0/task:0/device:GPU:0", container="Anonymous", type="tensorflow::Var", dtype and shapes : "[ DType enum: 1, Shape: [] ]")>>>


During handling of the above exception, another exception occurred:


Traceback (most recent call last):

File "/tmp/pytest-of-jenkins/pytest-7/test_criteo_tf_notebook0/notebook.py", line 109, in 

model.save(os.path.join(input_path, "model.savedmodel"))

File "/usr/local/lib/python3.8/dist-packages/keras/engine/training.py", line 2145, in save

save.save_model(self, filepath, overwrite, include_optimizer, save_format,

File "/usr/local/lib/python3.8/dist-packages/keras/saving/save.py", line 149, in save_model

saved_model_save.save(model, filepath, overwrite, include_optimizer,

File "/usr/local/lib/python3.8/dist-packages/keras/saving/saved_model/save.py", line 90, in save

saved_nodes, node_paths = save_lib.save_and_return_nodes(

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1325, in save_and_return_nodes

_build_meta_graph(obj, signatures, options, meta_graph_def))

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1491, in _build_meta_graph

return _build_meta_graph_impl(obj, signatures, options, meta_graph_def)

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1454, in _build_meta_graph_impl

object_graph_proto = _serialize_object_graph(

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/save.py", line 1027, in _serialize_object_graph

serialized = function_serialization.serialize_concrete_function(

File "/usr/local/lib/python3.8/dist-packages/tensorflow/python/saved_model/function_serialization.py", line 62, in serialize_concrete_function

raise KeyError(

KeyError: 'Failed to add concrete function 'b'__inference_train_function_3740'' to object-based SavedModel as it captures tensor <tf.Tensor: shape=(), dtype=resource, value=<ResourceHandle(name="Resource-37-at-0x49e383b0", device="/job:localhost/replica:0/task:0/device:GPU:0", container="Anonymous", type="tensorflow::Var", dtype and shapes : "[ DType enum: 1, Shape: [] ]")>> which is unsupported or not reachable from root. One reason could be that a stateful object or a variable that the function depends on is not assigned to an attribute of the serialized trackable object (see SaveTest.test_captures_unreachable_variable).'

=============================== 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:346: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


nvtabular/loader/init.py:19

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

warnings.warn(


tests/unit/test_dask_nvt.py::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(


-- 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      2      0      0    91%   44-45

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     90     89     11    38%   31-32, 39, 51-60, 68-69, 73-75, 79-93, 104-111, 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     25     18      0    22%   37-46, 49-54, 74-82, 85-95

nvtabular/framework_utils/torch/models.py                         45     40     30      0     9%   52-82, 85-110

nvtabular/framework_utils/torch/utils.py                          75     66     34      0    12%   22, 25-33, 42-44, 47-55, 58-76, 106-140

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     23     14      0    24%   34-53, 57-60, 64, 68, 72-78

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                           265    239     82      0     7%   68-107, 152-191, 235-283, 287-318, 343-363, 376-384, 400-457, 472-515, 543-583, 589-605, 609-676, 680-695, 703-728, 734-753, 759-783, 788-791

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    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    122    154     36    61%   27-28, 84, 92, 97-98, 112, 116->108, 125, 137-142, 145->exit, 157-159, 163-167, 170, 178, 179->181, 235, 265->268, 271-275, 278-281, 286, 291-293, 299-305, 311-315, 325-326, 334, 357, 362-363, 379->383, 383->387, 389-400, 402->406, 403->402, 417-420, 428, 431, 436-458, 462-487, 508-517, 551, 569-570, 578->581, 582-592, 596-599, 610, 617-618, 623-627, 632

nvtabular/loader/tensorflow.py                                   179     67     60     14    59%   38-39, 62-89, 101, 105, 110-115, 124, 311-313, 329, 332, 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     56     26      0    33%   28-30, 33-39, 90, 110, 113-115, 118-120, 123-131, 134-136, 139, 142, 146, 150, 154-166, 169, 174-179, 182-187, 190-191, 202, 205

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    180    348     85    68%   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, 606, 618-620, 625->627, 628, 629->631, 635, 637, 646, 725, 727->730, 733, 750, 759-764, 795, 801, 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, 1340-1341, 1348-1349, 1354, 1358-1366, 1369, 1380-1388, 1393, 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     74     34      0    18%   20-21, 101-119, 124-152, 155-159, 162-170, 181-182, 186-187, 190-199, 202-206, 209, 212, 216-227

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     40     22      0    29%   58-70, 74-83, 89, 94-109, 112-113, 116-123, 127, 131, 135, 139

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    223     90      0    17%   26-27, 31-32, 52-54, 57, 62, 65-75, 78, 88-90, 97-106, 116-159, 162-175, 180-188, 191-198, 206-222, 231-261, 265-291, 295-313, 316-325, 329-335, 341-352, 355-358, 361-370, 378-380, 396-402, 422-432, 437-439, 479-493

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     28     94     15    86%   28-29, 52, 85, 121-122, 126, 130, 167-168, 187->190, 206, 212->226, 239-241, 257, 373, 388-389, 431, 508, 528, 538-546, 548-550, 563


TOTAL                                                           4910   2780   2093    207    39%

Coverage XML written to file coverage.xml


FAIL Required test coverage of 70% not reached. Total coverage: 39.37%

=========================== 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, 116 passed, 1 skipped, 51 warnings in 137.20s (0:02:17) =======

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/jenkins10264237821174867142.sh

@benfred
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benfred commented Jun 14, 2022

rerun tests

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Click to view CI Results
GitHub pull request #1528 of commit c86bc729bf4272962c5de7320bcf7ed3efd44c56, no merge conflicts.
Running as SYSTEM
Setting status of c86bc729bf4272962c5de7320bcf7ed3efd44c56 to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4515/ 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/1528/*:refs/remotes/origin/pr/1528/* # timeout=10
 > git rev-parse c86bc729bf4272962c5de7320bcf7ed3efd44c56^{commit} # timeout=10
Checking out Revision c86bc729bf4272962c5de7320bcf7ed3efd44c56 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c86bc729bf4272962c5de7320bcf7ed3efd44c56 # timeout=10
Commit message: "docs: Add TF compat info"
 > git rev-list --no-walk f25ea237753378a70a85f6093495c71224439de1 # timeout=10
First time build. Skipping changelog.
[nvtabular_tests] $ /bin/bash /tmp/jenkins6468085172226850833.sh
============================= 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:346: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


nvtabular/loader/init.py:19

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

warnings.warn(


tests/unit/test_dask_nvt.py: 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

========== 1419 passed, 2 skipped, 2343 warnings in 712.41s (0:11:52) ==========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[nvtabular_tests] $ /bin/bash /tmp/jenkins6907678526697573783.sh

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #1528 of commit feea5fce5b4f32301ff93130f130e1fe297ee0e8, no merge conflicts.
Running as SYSTEM
Setting status of feea5fce5b4f32301ff93130f130e1fe297ee0e8 to PENDING with url http://10.20.17.181:8080/job/nvtabular_tests/4559/ 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/1528/*:refs/remotes/origin/pr/1528/* # timeout=10
 > git rev-parse feea5fce5b4f32301ff93130f130e1fe297ee0e8^{commit} # timeout=10
Checking out Revision feea5fce5b4f32301ff93130f130e1fe297ee0e8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f feea5fce5b4f32301ff93130f130e1fe297ee0e8 # timeout=10
Commit message: "docs: Add TF compat info"
 > git rev-list --no-walk 994df8454d11f95c07e7d699bd790d9ae595fe76 # timeout=10
[nvtabular_tests] $ /bin/bash /tmp/jenkins303550446351622201.sh
============================= 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 1422 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 .................                        [ 47%]

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:33

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

DASK_VERSION = LooseVersion(dask.version)


../../../.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: 34 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

other = LooseVersion(other)


nvtabular/loader/init.py:19

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

warnings.warn(


tests/unit/test_dask_nvt.py: 2 warnings

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

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

warnings.warn(


tests/unit/test_dask_nvt.py: 1 warning

tests/unit/test_tf4rec.py: 1 warning

tests/unit/test_tools.py: 5 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: 66 warnings

tests/unit/loader/test_torch_dataloader.py: 67 warnings

tests/unit/ops/test_categorify.py: 69 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: 1 warning

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: 27 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/frame.py:384: 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: 1 warning

tests/unit/test_tools.py: 17 warnings

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

tests/unit/loader/test_torch_dataloader.py: 54 warnings

/usr/local/lib/python3.8/dist-packages/cudf/core/frame.py:2940: FutureWarning: Series.ceil and DataFrame.ceil are 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/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

========== 1421 passed, 2 skipped, 697 warnings in 693.80s (0:11:33) ===========

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[nvtabular_tests] $ /bin/bash /tmp/jenkins16161995584617636750.sh

@mikemckiernan mikemckiernan merged commit bcf7baa into NVIDIA-Merlin:main Jun 27, 2022
@mikemckiernan mikemckiernan deleted the docs-oom-tbl branch June 27, 2022 20:18
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@bschifferer bschifferer bschifferer approved these changes

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@mikemckiernan @nvidia-merlin-bot @benfred @bschifferer