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Replace sklearn by scikit-learn in pip install #753

Merged
merged 2 commits into from
Dec 1, 2022
Merged

Replace sklearn by scikit-learn in pip install #753

merged 2 commits into from
Dec 1, 2022

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edknv
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@edknv edknv commented Dec 1, 2022 

    The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
    rather than 'sklearn' for pip commands.
    
    Here is how to fix this error in the main use cases:
    - use 'pip install scikit-learn' rather than 'pip install sklearn'
    - replace 'sklearn' by 'scikit-learn' in your pip requirements files
      (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
    - if the 'sklearn' package is used by one of your dependencies,
      it would be great if you take some time to track which package uses
      'sklearn' instead of 'scikit-learn' and report it to their issue tracker
    - as a last resort, set the environment variable
      SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error

@edknv edknv added chore Infrastructure update ci labels Dec 1, 2022
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github-actions bot commented Dec 1, 2022

Documentation preview

https://nvidia-merlin.github.io/Merlin/review/pr-753

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Click to view CI Results
GitHub pull request #753 of commit 7acf4342f29bb7779aaf18f4c6b2646095a54af8, no merge conflicts.
Running as SYSTEM
Setting status of 7acf4342f29bb7779aaf18f4c6b2646095a54af8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/667/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/753/*:refs/remotes/origin/pr/753/* # timeout=10
 > git rev-parse 7acf4342f29bb7779aaf18f4c6b2646095a54af8^{commit} # timeout=10
Checking out Revision 7acf4342f29bb7779aaf18f4c6b2646095a54af8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 7acf4342f29bb7779aaf18f4c6b2646095a54af8 # timeout=10
Commit message: "Replace sklearn by scikit-learn in pip install"
 > git rev-list --no-walk d1c3e5e44843938bdb221bac17cfedced3ac040b # timeout=10
[workspace] $ /bin/bash /tmp/jenkins4807317531006039752.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.20,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.20,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2837350953'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-spjv18fi
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-spjv18fi
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 7472e9999a909e4a712595850e415f0ec1c5a901
  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: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+23.g7472e99) (1.1.1)
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 3.6 MB/s eta 0:00:00
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+23.g7472e99) (2.22.0)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 16.8 MB/s eta 0:00:00
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+23.g7472e99) (0.3.0+12.g78ecddd)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+23.g7472e99) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+23.g7472e99) (1.8.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.55.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.12.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.5.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2.2.0)
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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (5.4.1)
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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (6.1)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (5.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (3.1.2)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.7.0)
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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.2.1)
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Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.52.0)
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Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (6.0.1)
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Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+23.g7472e99-py3-none-any.whl size=99186 sha256=a69822c8cd11f9c439e1c2ce726e8695ac4edcebe22f1700d44a8ac7791d59bb
  Stored in directory: /tmp/pip-ephem-wheel-cache-fk7xskf8/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+23.g7472e99 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-mgy_an02
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-mgy_an02
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit e08a72c9c59416a9000e62d25548eb08367fc3fa
  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: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+61.ge08a72c9) (0.3.0+12.g78ecddd)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.3.0)
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Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.55.1)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
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Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.2.0)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (5.4.1)
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Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (8.1.3)
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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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.4.0)
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Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.2.1)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.52.0)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.1.1)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.0.0)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+61.ge08a72c9-py3-none-any.whl size=367208 sha256=cdc49e593da1a0dc604a45e04b4a85c952a4e2f5a812ef74ace2e74f7a898773
  Stored in directory: /tmp/pip-ephem-wheel-cache-9kkl9v72/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+61.ge08a72c9
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-avtt4dhl
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-avtt4dhl
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 3bcd555a7fdc1cdaca47379676c2f111750352a8
  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'
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.7 MB/s eta 0:00:00
  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: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+12.g3bcd555a) (0.3.0+12.g78ecddd)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+12.g3bcd555a) (1.8.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.3.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.55.1)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+12.g3bcd555a) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.12.0)
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Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+12.g3bcd555a-cp38-cp38-linux_x86_64.whl size=257601 sha256=16cf012b2fd5fdf4684eeb4e89db5cd8a0ba7e4d396ab440a9afd650f5372554
  Stored in directory: /tmp/pip-ephem-wheel-cache-1ep1xc32/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=4e57313f31de1d767da9711c4d8ed6179fe7cea51634beb47f0fe72c1fc03dae
  Stored in directory: /tmp/pip-ephem-wheel-cache-1ep1xc32/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+12.g3bcd555a
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-aoecmbka
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-aoecmbka
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  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==0.9.0+14.g4f73ff5) (7.0.0)
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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+14.g4f73ff5) (3.1.2)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+14.g4f73ff5-py3-none-any.whl size=119010 sha256=5d182c423a0384b559a60ac6881a5ff6e68272d952b0498150ffe510c82c5c6e
  Stored in directory: /tmp/pip-ephem-wheel-cache-uy9y06yq/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+14.g4f73ff5
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]WARNING: Failed to generate report: No data to report.


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

__________________________________ test_func ___________________________________


self = <testbook.client.TestbookNotebookClient object at 0x7f03179638e0>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'b44b3378-7297-4946-a271-742a9239bc3e', 'metadata': {'execution': {'...ron.get("NUM_ROWS", 100_000)\ntrain_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))'}

cell_index = 16, execution_count = None, store_history = True


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

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

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

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

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

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

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

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

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

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

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

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

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

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:





      exec_reply = await self.task_poll_for_reply





E           asyncio.exceptions.CancelledError


../../../.local/lib/python3.8/site-packages/nbclient/client.py:949: CancelledError


During handling of the above exception, another exception occurred:


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )





      tb1.execute()





tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:32:




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

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

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

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

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

return future.result()




self = <testbook.client.TestbookNotebookClient object at 0x7f03179638e0>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'b44b3378-7297-4946-a271-742a9239bc3e', 'metadata': {'execution': {'...ron.get("NUM_ROWS", 100_000)\ntrain_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))'}

cell_index = 16, execution_count = None, store_history = True


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

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

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

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

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

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

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

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

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

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

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

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

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

    cell.outputs = []
    self.clear_before_next_output = False

    task_poll_kernel_alive = asyncio.ensure_future(self._async_poll_kernel_alive())
    task_poll_output_msg = asyncio.ensure_future(
        self._async_poll_output_msg(parent_msg_id, cell, cell_index)
    )
    self.task_poll_for_reply = asyncio.ensure_future(
        self._async_poll_for_reply(
            parent_msg_id, cell, exec_timeout, task_poll_output_msg, task_poll_kernel_alive
        )
    )
    try:
        exec_reply = await self.task_poll_for_reply
    except asyncio.CancelledError:
        # can only be cancelled by task_poll_kernel_alive when the kernel is dead
        task_poll_output_msg.cancel()





      raise DeadKernelError("Kernel died")





E           nbclient.exceptions.DeadKernelError: Kernel died


../../../.local/lib/python3.8/site-packages/nbclient/client.py:953: DeadKernelError

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

2022-12-01 17:39:09.027605: 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.

2022-12-01 17:39:13.174530: 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

2022-12-01 17:39:13.175304: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14524 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-01 17:39:13.175931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14524 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-01 17:39:13.176515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14524 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

2022-12-01 17:39:13.183346: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.95G (8534360064 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-01 17:39:13.186210: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.15G (7680923648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-01 17:39:13.189880: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 6.44G (6912830976 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

terminate called after throwing an instance of 'rmm::out_of_memory'

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

[10:07586] *** Process received signal ***

[10:07586] Signal: Aborted (6)

[10:07586] Signal code:  (-6)

[10:07586] [ 0] /usr/lib/x86_64-linux-gnu/libc.so.6(+0x43090)[0x7f0bb5bd0090]

[10:07586] [ 1] /usr/lib/x86_64-linux-gnu/libc.so.6(gsignal+0xcb)[0x7f0bb5bd000b]

[10:07586] [ 2] /usr/lib/x86_64-linux-gnu/libc.so.6(abort+0x12b)[0x7f0bb5baf859]

[10:07586] [ 3] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0x9e911)[0x7f0bb4133911]

[10:07586] [ 4] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xaa38c)[0x7f0bb413f38c]

[10:07586] [ 5] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xaa3f7)[0x7f0bb413f3f7]

[10:07586] [ 6] /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xaa6a9)[0x7f0bb413f6a9]

[10:07586] [ 7] /usr/local/lib/python3.8/dist-packages/rmm/_lib/device_buffer.cpython-38-x86_64-linux-gnu.so(_ZN3rmm2mr20cuda_memory_resource11do_allocateEmNS_16cuda_stream_viewE+0x4e8)[0x7f0ac2e24948]

[10:07586] [ 8] /lib/libcudf.so(_ZN3rmm13device_bufferC2EPKvmNS_16cuda_stream_viewEPNS_2mr22device_memory_resourceE+0x4a)[0x7f0a67d959fa]

[10:07586] [ 9] /lib/libcudf.so(_ZN4cudf41_GLOBAL__N__013c37fe_9_column_cu_dc372a8a23create_column_from_viewclIiLPv0EEESt10unique_ptrINS_6columnESt14default_deleteIS5_EEv+0x199)[0x7f0a67d97a39]

[10:07586] [10] /lib/libcudf.so(_ZN4cudf6columnC1ENS_11column_viewEN3rmm16cuda_stream_viewEPNS2_2mr22device_memory_resourceE+0x4e3)[0x7f0a67d94fc3]

[10:07586] [11] /usr/local/lib/python3.8/dist-packages/cudf/_lib/copying.cpython-38-x86_64-linux-gnu.so(+0x62e18)[0x7f0ab08c7e18]

[10:07586] [12] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x5c64c0]

[10:07586] [13] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [14] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x8758)[0x573af8]

[10:07586] [15] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [16] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x50bca0]

[10:07586] [17] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [18] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x86f9)[0x573a99]

[10:07586] [19] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [20] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyFunction_Vectorcall+0x393)[0x5f6eb3]

[10:07586] [21] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [22] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x90b0)[0x574450]

[10:07586] [23] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [24] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x50bca0]

[10:07586] [25] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] [26] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalFrameDefault+0x86f9)[0x573a99]

[10:07586] [27] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python(_PyEval_EvalCodeWithName+0x26a)[0x569dba]

[10:07586] [28] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x50bca0]

[10:07586] [29] /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu/bin/python[0x575268]

[10:07586] *** End of error message ***

------------------------------ Captured log call -------------------------------

ERROR    traitlets:client.py:808 Kernel died while waiting for execute reply.

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




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

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

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

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

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

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f03f53a75b0>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '623631de-0f1e-485...e, 'engine': '623631de-0f1e-485d-9784-33b1f81273c0', 'started': '2022-12-01T17:39:23.049526Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

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

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





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





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

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

E           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

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

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

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

E

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

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

E           Cell �[0;32mIn [7], line 30�[0m

E           �[1;32m     28�[0m cluster �[38;5;241m=�[39m �[38;5;28;01mNone�[39;00m  �[38;5;66;03m# (Optional) Specify existing scheduler port�[39;00m

E           �[1;32m     29�[0m �[38;5;28;01mif�[39;00m cluster �[38;5;129;01mis�[39;00m �[38;5;28;01mNone�[39;00m:

E           �[0;32m---> 30�[0m     cluster �[38;5;241m=�[39m �[43mLocalCUDACluster�[49m�[43m(�[49m

E           �[1;32m     31�[0m �[43m        �[49m�[43mprotocol�[49m�[38;5;241;43m=�[39;49m�[43mprotocol�[49m�[43m,�[49m

E           �[1;32m     32�[0m �[43m        �[49m�[43mn_workers�[49m�[38;5;241;43m=�[39;49m�[38;5;28;43mlen�[39;49m�[43m(�[49m�[43mvisible_devices�[49m�[38;5;241;43m.�[39;49m�[43msplit�[49m�[43m(�[49m�[38;5;124;43m"�[39;49m�[38;5;124;43m,�[39;49m�[38;5;124;43m"�[39;49m�[43m)�[49m�[43m)�[49m�[43m,�[49m

E           �[1;32m     33�[0m �[43m        �[49m�[43mCUDA_VISIBLE_DEVICES�[49m�[38;5;241;43m=�[39;49m�[43mvisible_devices�[49m�[43m,�[49m

E           �[1;32m     34�[0m �[43m        �[49m�[43mdevice_memory_limit�[49m�[38;5;241;43m=�[39;49m�[43mdevice_limit�[49m�[43m,�[49m

E           �[1;32m     35�[0m �[43m        �[49m�[43mlocal_directory�[49m�[38;5;241;43m=�[39;49m�[43mdask_workdir�[49m�[43m,�[49m

E           �[1;32m     36�[0m �[43m        �[49m�[43mdashboard_address�[49m�[38;5;241;43m=�[39;49m�[38;5;124;43m"�[39;49m�[38;5;124;43m:�[39;49m�[38;5;124;43m"�[39;49m�[43m �[49m�[38;5;241;43m+�[39;49m�[43m �[49m�[43mdashboard_port�[49m�[43m,�[49m

E           �[1;32m     37�[0m �[43m        �[49m�[43mrmm_pool_size�[49m�[38;5;241;43m=�[39;49m�[43m(�[49m�[43mdevice_pool_size�[49m�[43m �[49m�[38;5;241;43m/�[39;49m�[38;5;241;43m/�[39;49m�[43m �[49m�[38;5;241;43m256�[39;49m�[43m)�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[43m �[49m�[38;5;241;43m256�[39;49m

E           �[1;32m     38�[0m �[43m    �[49m�[43m)�[49m

E           �[1;32m     40�[0m �[38;5;66;03m# Create the distributed client�[39;00m

E           �[1;32m     41�[0m client �[38;5;241m=�[39m Client(cluster)

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/dask_cuda/local_cuda_cluster.py:367�[0m, in �[0;36mLocalCUDACluster.__init__�[0;34m(self, CUDA_VISIBLE_DEVICES, n_workers, threads_per_worker, memory_limit, device_memory_limit, data, local_directory, shared_filesystem, protocol, enable_tcp_over_ucx, enable_infiniband, enable_nvlink, enable_rdmacm, rmm_pool_size, rmm_maximum_pool_size, rmm_managed_memory, rmm_async, rmm_log_directory, rmm_track_allocations, jit_unspill, log_spilling, worker_class, pre_import, **kwargs)�[0m

E           �[1;32m    365�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mcuda_visible_devices �[38;5;241m=�[39m CUDA_VISIBLE_DEVICES

E           �[1;32m    366�[0m �[38;5;28mself�[39m�[38;5;241m.�[39mscale(n_workers)

E           �[0;32m--> 367�[0m �[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43msync�[49m�[43m(�[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43m_correct_state�[49m�[43m)�[49m

E

E           File �[0;32m~/.local/lib/python3.8/site-packages/distributed/utils.py:309�[0m, in �[0;36mSyncMethodMixin.sync�[0;34m(self, func, asynchronous, callback_timeout, args, **kwargs)�[0m

E           �[1;32m    307�[0m     �[38;5;28;01mreturn�[39;00m future

E           �[1;32m    308�[0m �[38;5;28;01melse�[39;00m:

E           �[0;32m--> 309�[0m     �[38;5;28;01mreturn�[39;00m �[43msync�[49m�[43m(�[49m

E           �[1;32m    310�[0m �[43m        �[49m�[38;5;28;43mself�[39;49m�[38;5;241;43m.�[39;49m�[43mloop�[49m�[43m,�[49m�[43m �[49m�[43mfunc�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[43margs�[49m�[43m,�[49m�[43m �[49m�[43mcallback_timeout�[49m�[38;5;241;43m=�[39;49m�[43mcallback_timeout�[49m�[43m,�[49m�[43m �[49m�[38;5;241;43m�[39;49m�[38;5;241;43m*�[39;49m�[43mkwargs�[49m

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E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

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

2022-12-01 17:39:26,012 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,021 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,125 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,189 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:26,614 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:26,615 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:29,281 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-st8gfqtj', purging

2022-12-01 17:39:29,282 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:29,551 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:29,552 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:32,413 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-yh5fn5xs', purging

2022-12-01 17:39:32,414 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,431 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,446 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,453 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:32,948 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:32,949 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,059 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,060 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,066 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,067 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,077 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:33,078 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:35,735 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-lvwkrp03', purging

2022-12-01 17:39:35,736 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-3osstbwk', purging

2022-12-01 17:39:35,736 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-5sp13rwd', purging

2022-12-01 17:39:35,736 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-6eznws87', purging

2022-12-01 17:39:35,737 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:39:36,008 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:39:36,009 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 57 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '


---------- coverage: platform linux, python 3.8.10-final-0 -----------


========================= 2 failed, 1 passed in 44.98s =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

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

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

/usr/local/lib/python3.8/dist-packages/coverage/data.py:130: CoverageWarning: Data file '/var/jenkins_home/workspace/merlin_merlin/merlin/.coverage.10.20.17.231.7788.860713' doesn't seem to be a coverage data file: cannot unpack non-iterable NoneType object

data._warn(str(exc))

/usr/local/lib/python3.8/dist-packages/pytest_cov/plugin.py:297: CovReportWarning: Failed to generate report: No data to report.


self.cov_controller.finish()

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

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[workspace] $ /bin/bash /tmp/jenkins15526035339903629443.sh

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #753 of commit 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4, no merge conflicts.
Running as SYSTEM
Setting status of 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_merlin/668/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_merlin/workspace
using credential systems-login
 > git rev-parse --is-inside-work-tree # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://github.com/NVIDIA-Merlin/Merlin # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/Merlin
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/Merlin +refs/pull/753/*:refs/remotes/origin/pr/753/* # timeout=10
 > git rev-parse 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4^{commit} # timeout=10
Checking out Revision 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 84c9f5de5fd846a95d252d6a3ecf63ddfe6f0fb4 # timeout=10
Commit message: "Merge branch 'main' into sklearn_to_scikit_learn"
 > git rev-list --no-walk 7acf4342f29bb7779aaf18f4c6b2646095a54af8 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins14342463504765647450.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_merlin/merlin/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/.tmp/package/1/merlin-0.0.1.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.20,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.20,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin==0.0.1,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.0.2,python-apt==2.0.0+ubuntu0.20.4.8,python-dateutil==2.8.2,python-dotenv==0.21.0,python-rapidjson==1.8,pytz==2022.2.1,PyYAML==5.4.1,pyzmq==24.0.0,regex==2022.9.13,requests==2.22.0,requests-oauthlib==1.3.1,requests-unixsocket==0.2.0,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1125575591'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/systems.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/systems.git
  Cloning https://github.com/NVIDIA-Merlin/systems.git to /tmp/pip-req-build-fvdzekh6
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/systems.git /tmp/pip-req-build-fvdzekh6
  Resolved https://github.com/NVIDIA-Merlin/systems.git to commit 7472e9999a909e4a712595850e415f0ec1c5a901
  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: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+23.g7472e99) (2.22.0)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+23.g7472e99) (0.3.0+12.g78ecddd)
Collecting treelite==2.4.0
  Downloading treelite-2.4.0-py3-none-manylinux2014_x86_64.whl (852 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 852.7/852.7 kB 7.2 MB/s eta 0:00:00
Collecting treelite-runtime==2.4.0
  Downloading treelite_runtime-2.4.0-py3-none-manylinux2014_x86_64.whl (191 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.5/191.5 kB 145.9 MB/s eta 0:00:00
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+23.g7472e99) (1.1.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+23.g7472e99) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+23.g7472e99) (1.8.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.5.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (3.1.2)
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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.7.0)
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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (65.5.1)
Collecting llvmlite<0.39,>=0.38.0rc1
  Downloading llvmlite-0.38.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.5 MB)
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Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (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>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+23.g7472e99) (6.0.1)
Building wheels for collected packages: merlin-systems
  Building wheel for merlin-systems (pyproject.toml): started
  Building wheel for merlin-systems (pyproject.toml): finished with status 'done'
  Created wheel for merlin-systems: filename=merlin_systems-0.7.0+23.g7472e99-py3-none-any.whl size=99186 sha256=9382cada909560a3fd0c17212e3bcb3890975e8fbd97e6d21863234f694ebb91
  Stored in directory: /tmp/pip-ephem-wheel-cache-_pmx9_ml/wheels/d3/db/b8/99d510a979c278774eda4142f1c0643c93b7b2674aff321c16
Successfully built merlin-systems
Installing collected packages: llvmlite, treelite-runtime, treelite, merlin-systems
  Attempting uninstall: llvmlite
    Found existing installation: llvmlite 0.39.1
    Not uninstalling llvmlite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'llvmlite'. No files were found to uninstall.
  Attempting uninstall: treelite-runtime
    Found existing installation: treelite-runtime 2.3.0
    Not uninstalling treelite-runtime at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite-runtime'. No files were found to uninstall.
  Attempting uninstall: treelite
    Found existing installation: treelite 2.3.0
    Not uninstalling treelite at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'treelite'. No files were found to uninstall.
  Attempting uninstall: merlin-systems
    Found existing installation: merlin-systems 0.5.0+4.g15074ad
    Not uninstalling merlin-systems at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-systems'. No files were found to uninstall.
Successfully installed llvmlite-0.38.1 merlin-systems-0.7.0+23.g7472e99 treelite-2.4.0 treelite-runtime-2.4.0
test-gpu run-test: commands[1] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/models.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/models.git
  Cloning https://github.com/NVIDIA-Merlin/models.git to /tmp/pip-req-build-jpvdbg4a
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/models.git /tmp/pip-req-build-jpvdbg4a
  Resolved https://github.com/NVIDIA-Merlin/models.git to commit e08a72c9c59416a9000e62d25548eb08367fc3fa
  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: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-models==0.9.0+61.ge08a72c9) (0.3.0+12.g78ecddd)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.5.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.1.2)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.7.0)
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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2021.11.2->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (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>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-models==0.9.0+61.ge08a72c9) (6.0.1)
Building wheels for collected packages: merlin-models
  Building wheel for merlin-models (pyproject.toml): started
  Building wheel for merlin-models (pyproject.toml): finished with status 'done'
  Created wheel for merlin-models: filename=merlin_models-0.9.0+61.ge08a72c9-py3-none-any.whl size=367208 sha256=d50f69be5324489592b9a77d02d3fce5f67ce37ffaacb807b7faba463a03acab
  Stored in directory: /tmp/pip-ephem-wheel-cache-i00iaxys/wheels/5a/43/99/d50fe2c33b4f4686db73207ce3865e0d6be6609ffb03abade5
Successfully built merlin-models
Installing collected packages: merlin-models
  Attempting uninstall: merlin-models
    Found existing installation: merlin-models 0.7.0+11.g280956aa4
    Not uninstalling merlin-models at /usr/local/lib/python3.8/dist-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-models'. No files were found to uninstall.
Successfully installed merlin-models-0.9.0+61.ge08a72c9
test-gpu run-test: commands[2] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/NVTabular.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/NVTabular.git
  Cloning https://github.com/NVIDIA-Merlin/NVTabular.git to /tmp/pip-req-build-d_47mam8
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/NVTabular.git /tmp/pip-req-build-d_47mam8
  Resolved https://github.com/NVIDIA-Merlin/NVTabular.git to commit 3bcd555a7fdc1cdaca47379676c2f111750352a8
  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: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+12.g3bcd555a) (1.8.1)
Requirement already satisfied: merlin-core>=0.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from nvtabular==1.6.0+12.g3bcd555a) (0.3.0+12.g78ecddd)
Collecting merlin-dataloader>=0.0.2
  Downloading merlin-dataloader-0.0.3.tar.gz (48 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.3/48.3 kB 1.6 MB/s eta 0:00:00
  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: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.55.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (7.0.0)
Requirement already satisfied: dask>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (4.64.1)
Requirement already satisfied: distributed>=2021.11.2 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.3.0)
Requirement already satisfied: numpy<1.25.0,>=1.17.3 in /var/jenkins_home/.local/lib/python3.8/site-packages (from scipy->nvtabular==1.6.0+12.g3bcd555a) (1.20.3)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.2.0)
Requirement already satisfied: fsspec>=0.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from dask>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2022.5.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (3.1.2)
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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.7.0)
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>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2021.11.2->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->nvtabular==1.6.0+12.g3bcd555a) (0.38.1)
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Building wheels for collected packages: nvtabular, merlin-dataloader
  Building wheel for nvtabular (pyproject.toml): started
  Building wheel for nvtabular (pyproject.toml): finished with status 'done'
  Created wheel for nvtabular: filename=nvtabular-1.6.0+12.g3bcd555a-cp38-cp38-linux_x86_64.whl size=257601 sha256=64b312e8c77f98d855329f6f7dfdb864e1f5ac02436ae0be92379a4402b3ff13
  Stored in directory: /tmp/pip-ephem-wheel-cache-8o4hdwmc/wheels/c2/16/76/39994bff39d812513de5b5572bff0903b9eb8f6c645b44cedc
  Building wheel for merlin-dataloader (pyproject.toml): started
  Building wheel for merlin-dataloader (pyproject.toml): finished with status 'done'
  Created wheel for merlin-dataloader: filename=merlin_dataloader-0.0.3-py3-none-any.whl size=37647 sha256=49f549e8f33e0de53b33c30f30cd8649d35b5f4858f4f1bedf1ab254952794a0
  Stored in directory: /tmp/pip-ephem-wheel-cache-8o4hdwmc/wheels/1c/a3/4a/0feebb30e0c8cb7ba7046544390b43c7017a2195232f5305a1
Successfully built nvtabular merlin-dataloader
Installing collected packages: merlin-dataloader, nvtabular
  Attempting uninstall: nvtabular
    Found existing installation: nvtabular 1.1.1
    Not uninstalling nvtabular at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed merlin-dataloader-0.0.3 nvtabular-1.6.0+12.g3bcd555a
test-gpu run-test: commands[3] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-e9s9fnp6
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-e9s9fnp6
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 4f73ff5bd4121c1acaabdc01a123af4f986ffc78
  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'
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+14.g4f73ff5-py3-none-any.whl size=119010 sha256=2f20df2ba84f299dc2f34fa263a2f3956de05437914ef78f353ee02502f19734
  Stored in directory: /tmp/pip-ephem-wheel-cache-_i642lar/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.3.0+12.g78ecddd
    Not uninstalling merlin-core at /var/jenkins_home/.local/lib/python3.8/site-packages, outside environment /var/jenkins_home/workspace/merlin_merlin/merlin/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+14.g4f73ff5
test-gpu run-test: commands[4] | python -m pytest --cov-report term --cov merlin -rxs tests/unit
============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-7.1.3, pluggy-1.0.0
cachedir: .tox/test-gpu/.pytest_cache
rootdir: /var/jenkins_home/workspace/merlin_merlin/merlin
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 3 items

tests/unit/test_version.py .                                             [ 33%]

tests/unit/examples/test_building_deploying_multi_stage_RecSys.py F      [ 66%]

tests/unit/examples/test_scaling_criteo_merlin_models.py F               [100%]


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

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT
        / "examples"
        / "Building-and-deploying-multi-stage-RecSys"
        / "01-Building-Recommender-Systems-with-Merlin.ipynb",
        execute=False,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["DATA_FOLDER"] = "/tmp/data/"
            os.environ["NUM_ROWS"] = "100000"
            os.system("mkdir -p /tmp/examples")
            os.environ["BASE_DIR"] = "/tmp/examples/"
            """
        )





      tb1.execute()





tests/unit/examples/test_building_deploying_multi_stage_RecSys.py:32:




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

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

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

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

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

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f51da618760>

cell = {'cell_type': 'code', 'execution_count': 7, 'id': 'b44b3378-7297-4946-a271-742a9239bc3e', 'metadata': {'execution': {'...ron.get("NUM_ROWS", 100_000)\ntrain_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))'}

cell_index = 16

exec_reply = {'buffers': [], 'content': {'ename': 'RuntimeError', 'engine_info': {'engine_id': -1, 'engine_uuid': 'a8853ae6-a940-4d...e, 'engine': 'a8853ae6-a940-4d8d-9452-c332d37042ae', 'started': '2022-12-01T17:41:35.640041Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

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

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





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





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

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

E           from merlin.datasets.synthetic import generate_data

E

E           NUM_ROWS = os.environ.get("NUM_ROWS", 100_000)

E           train_raw, valid_raw = generate_data("aliccp-raw", int(NUM_ROWS), set_sizes=(0.7, 0.3))

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

E

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

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

E           Cell �[0;32mIn [7], line 4�[0m

E           �[1;32m      1�[0m �[38;5;28;01mfrom�[39;00m �[38;5;21;01mmerlin�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01mdatasets�[39;00m�[38;5;21;01m.�[39;00m�[38;5;21;01msynthetic�[39;00m �[38;5;28;01mimport�[39;00m generate_data

E           �[1;32m      3�[0m NUM_ROWS �[38;5;241m=�[39m os�[38;5;241m.�[39menviron�[38;5;241m.�[39mget(�[38;5;124m"�[39m�[38;5;124mNUM_ROWS�[39m�[38;5;124m"�[39m, �[38;5;241m100_000�[39m)

E           �[0;32m----> 4�[0m train_raw, valid_raw �[38;5;241m=�[39m �[43mgenerate_data�[49m�[43m(�[49m�[38;5;124;43m"�[39;49m�[38;5;124;43maliccp-raw�[39;49m�[38;5;124;43m"�[39;49m�[43m,�[49m�[43m �[49m�[38;5;28;43mint�[39;49m�[43m(�[49m�[43mNUM_ROWS�[49m�[43m)�[49m�[43m,�[49m�[43m �[49m�[43mset_sizes�[49m�[38;5;241;43m=�[39;49m�[43m(�[49m�[38;5;241;43m0.7�[39;49m�[43m,�[49m�[43m �[49m�[38;5;241;43m0.3�[39;49m�[43m)�[49m�[43m)�[49m

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py:134�[0m, in �[0;36mgenerate_data�[0;34m(input, num_rows, set_sizes, min_session_length, max_session_length, device)�[0m

E           �[1;32m    131�[0m         start_i �[38;5;241m=�[39m end_i

E           �[1;32m    132�[0m         output_datasets�[38;5;241m.�[39mappend(set_df)

E           �[0;32m--> 134�[0m     �[38;5;28;01mreturn�[39;00m �[38;5;28mtuple�[39m([merlin�[38;5;241m.�[39mio�[38;5;241m.�[39mDataset(d, schema�[38;5;241m=�[39mschema) �[38;5;28;01mfor�[39;00m d �[38;5;129;01min�[39;00m output_datasets])

E           �[1;32m    136�[0m �[38;5;28;01mreturn�[39;00m merlin�[38;5;241m.�[39mio�[38;5;241m.�[39mDataset(df, schema�[38;5;241m=�[39mschema)

E

E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py:134�[0m, in �[0;36m�[0;34m(.0)�[0m

E           �[1;32m    131�[0m         start_i �[38;5;241m=�[39m end_i

E           �[1;32m    132�[0m         output_datasets�[38;5;241m.�[39mappend(set_df)

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E           File �[0;32m~/workspace/merlin_merlin/merlin/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:264�[0m, in �[0;36mDataset.__init__�[0;34m(self, path_or_source, engine, npartitions, part_size, part_mem_fraction, storage_options, dtypes, client, cpu, base_dataset, schema, **kwargs)�[0m

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E           File �[0;32mcudf/_lib/interop.pyx:150�[0m, in �[0;36mcudf._lib.interop.from_arrow�[0;34m()�[0m

E

E           �[0;31mRuntimeError�[0m: CUDA error encountered at: ../src/bitmask/null_mask.cu:93: 2 cudaErrorMemoryAllocation out of memory

E           RuntimeError: CUDA error encountered at: ../src/bitmask/null_mask.cu:93: 2 cudaErrorMemoryAllocation out of memory


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

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

2022-12-01 17:41:30.380150: 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.

2022-12-01 17:41:34.648806: 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

2022-12-01 17:41:34.649679: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 14524 MB memory:  -> device: 1, name: Tesla P100-DGXS-16GB, pci bus id: 0000:08:00.0, compute capability: 6.0

2022-12-01 17:41:34.650268: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 14524 MB memory:  -> device: 2, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0e:00.0, compute capability: 6.0

2022-12-01 17:41:34.650825: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 14524 MB memory:  -> device: 3, name: Tesla P100-DGXS-16GB, pci bus id: 0000:0f:00.0, compute capability: 6.0

2022-12-01 17:41:34.655535: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.95G (8534360064 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-01 17:41:34.657465: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 7.15G (7680923648 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-01 17:41:34.659443: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 6.44G (6912830976 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

2022-12-01 17:41:34.661549: I tensorflow/stream_executor/cuda/cuda_driver.cc:739] failed to allocate 5.79G (6221547520 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory

Error in atexit._run_exitfuncs:

Traceback (most recent call last):

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

h.close()

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

self.stream.close()

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

self.watch_fd_thread.join()

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

__________________________________ test_func ___________________________________


def test_func():
    with testbook(
        REPO_ROOT / "examples" / "scaling-criteo" / "02-ETL-with-NVTabular.ipynb",
        execute=False,
        timeout=180,
    ) as tb1:
        tb1.inject(
            """
            import os
            os.environ["BASE_DIR"] = "/tmp/input/criteo/"
            os.environ["INPUT_DATA_DIR"] = "/tmp/input/criteo/"
            os.environ["OUTPUT_DATA_DIR"] = "/tmp/output/criteo/"
            os.system("mkdir -p /tmp/input/criteo")
            os.system("mkdir -p /tmp/output/criteo")

            from merlin.datasets.synthetic import generate_data

            train, valid = generate_data("criteo", int(100000), set_sizes=(0.7, 0.3))

            train.to_ddf().compute().to_parquet('/tmp/input/criteo/day_0.parquet')
            valid.to_ddf().compute().to_parquet('/tmp/input/criteo/day_1.parquet')
            """
        )





      tb1.execute()





tests/unit/examples/test_scaling_criteo_merlin_models.py:33:




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

super().execute_cell(cell, index)

../../../.local/lib/python3.8/site-packages/nbclient/util.py:84: in wrapped

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

../../../.local/lib/python3.8/site-packages/nbclient/util.py:62: in just_run

return loop.run_until_complete(coro)

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

return future.result()

../../../.local/lib/python3.8/site-packages/nbclient/client.py:965: in async_execute_cell

await self._check_raise_for_error(cell, cell_index, exec_reply)




self = <testbook.client.TestbookNotebookClient object at 0x7f52b81b3640>

cell = {'cell_type': 'code', 'execution_count': 7, 'metadata': {'jupyter': {'outputs_hidden': False}, 'execution': {'iopub.st...pool_size=(device_pool_size // 256) * 256\n    )\n\n# Create the distributed client\nclient = Client(cluster)\nclient'}

cell_index = 12

exec_reply = {'buffers': [], 'content': {'ename': 'MemoryError', 'engine_info': {'engine_id': -1, 'engine_uuid': '6c69d98c-a4df-423...e, 'engine': '6c69d98c-a4df-4232-a2b5-274fe46f6001', 'started': '2022-12-01T17:41:48.844941Z', 'status': 'error'}, ...}


async def _check_raise_for_error(
    self, cell: NotebookNode, cell_index: int, exec_reply: t.Optional[t.Dict]
) -> None:

    if exec_reply is None:
        return None

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

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





      raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)





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

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

E           # Dask dashboard

E           dashboard_port = "8787"

E

E           # Deploy a Single-Machine Multi-GPU Cluster

E           protocol = "tcp"  # "tcp" or "ucx"

E           if numba.cuda.is_available():

E               NUM_GPUS = list(range(len(numba.cuda.gpus)))

E           else:

E               NUM_GPUS = []

E           visible_devices = ",".join([str(n) for n in NUM_GPUS])  # Select devices to place workers

E           device_limit_frac = 0.7  # Spill GPU-Worker memory to host at this limit.

E           device_pool_frac = 0.8

E           part_mem_frac = 0.15

E

E           # Use total device size to calculate args.device_limit_frac

E           device_size = device_mem_size(kind="total")

E           device_limit = int(device_limit_frac * device_size)

E           device_pool_size = int(device_pool_frac * device_size)

E           part_size = int(part_mem_frac * device_size)

E

E           # Check if any device memory is already occupied

E           for dev in visible_devices.split(","):

E               fmem = pynvml_mem_size(kind="free", index=int(dev))

E               used = (device_size - fmem) / 1e9

E               if used > 1.0:

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

E

E           cluster = None  # (Optional) Specify existing scheduler port

E           if cluster is None:

E               cluster = LocalCUDACluster(

E                   protocol=protocol,

E                   n_workers=len(visible_devices.split(",")),

E                   CUDA_VISIBLE_DEVICES=visible_devices,

E                   device_memory_limit=device_limit,

E                   local_directory=dask_workdir,

E                   dashboard_address=":" + dashboard_port,

E                   rmm_pool_size=(device_pool_size // 256) * 256

E               )

E

E           # Create the distributed client

E           client = Client(cluster)

E           client

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

E

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

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E           �[1;32m     81�[0m         initial_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39minitial_pool_size,

E           �[1;32m     82�[0m         maximum_pool_size�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mmaximum_pool_size,

E           �[1;32m     83�[0m         logging�[38;5;241m=�[39m�[38;5;28mself�[39m�[38;5;241m.�[39mlogging,

E           �[1;32m     84�[0m         log_file_name�[38;5;241m=�[39mget_rmm_log_file_name(

E           �[1;32m     85�[0m             worker, �[38;5;28mself�[39m�[38;5;241m.�[39mlogging, �[38;5;28mself�[39m�[38;5;241m.�[39mlog_directory

E           �[1;32m     86�[0m         ),

E           �[1;32m     87�[0m     )

E           �[1;32m     88�[0m �[38;5;28;01mif�[39;00m �[38;5;28mself�[39m�[38;5;241m.�[39mrmm_track_allocations:

E           �[1;32m     89�[0m     �[38;5;28;01mimport�[39;00m �[38;5;21;01mrmm�[39;00m

E

E           File �[0;32m/usr/local/lib/python3.8/dist-packages/rmm/rmm.py:85�[0m, in �[0;36mreinitialize�[0;34m()�[0m

E           �[1;32m     32�[0m �[38;5;28;01mdef�[39;00m �[38;5;21mreinitialize�[39m(

E           �[1;32m     33�[0m     pool_allocator�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[1;32m     34�[0m     managed_memory�[38;5;241m=�[39m�[38;5;28;01mFalse�[39;00m,

E           �[0;32m   (...)�[0m

E           �[1;32m     39�[0m     log_file_name�[38;5;241m=�[39m�[38;5;28;01mNone�[39;00m,

E           �[1;32m     40�[0m ):

E           �[1;32m     41�[0m     �[38;5;124;03m"""�[39;00m

E           �[1;32m     42�[0m �[38;5;124;03m    Finalizes and then initializes RMM using the options passed. Using memory�[39;00m

E           �[1;32m     43�[0m �[38;5;124;03m    from a previous initialization of RMM is undefined behavior and should be�[39;00m

E           �[0;32m   (...)�[0m

E           �[1;32m     83�[0m �[38;5;124;03m    corresponding to each device.�[39;00m

E           �[1;32m     84�[0m �[38;5;124;03m    """�[39;00m

E           �[0;32m---> 85�[0m     rmm�[38;5;241m.�[39mmr�[38;5;241m.�[39m_initialize(

E           �[1;32m     86�[0m         pool_allocator�[38;5;241m=�[39mpool_allocator,

E           �[1;32m     87�[0m         managed_memory�[38;5;241m=�[39mmanaged_memory,

E           �[1;32m     88�[0m         initial_pool_size�[38;5;241m=�[39minitial_pool_size,

E           �[1;32m     89�[0m         maximum_pool_size�[38;5;241m=�[39mmaximum_pool_size,

E           �[1;32m     90�[0m         devices�[38;5;241m=�[39mdevices,

E           �[1;32m     91�[0m         logging�[38;5;241m=�[39mlogging,

E           �[1;32m     92�[0m         log_file_name�[38;5;241m=�[39mlog_file_name,

E           �[1;32m     93�[0m     )

E

E           File �[0;32mmemory_resource.pyx:823�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:883�[0m, in �[0;36mrmm._lib.memory_resource._initialize�[0;34m()�[0m

E

E           File �[0;32mmemory_resource.pyx:342�[0m, in �[0;36mrmm._lib.memory_resource.PoolMemoryResource.__cinit__�[0;34m()�[0m

E

E           �[0;31mMemoryError�[0m: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

E           MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded


../../../.local/lib/python3.8/site-packages/nbclient/client.py:862: CellExecutionError

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

2022-12-01 17:41:51,859 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:51,881 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:51,934 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:51,937 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:52,465 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:52,467 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:55,132 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-qtr9p8no', purging

2022-12-01 17:41:55,133 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:55,403 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:55,404 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,272 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-w2d3jw5a', purging

2022-12-01 17:41:58,273 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,360 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,376 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,449 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:41:58,628 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,629 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,829 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,830 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,906 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,907 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,946 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:41:58,947 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:42:01,533 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-z8pyl9_p', purging

2022-12-01 17:42:01,534 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-rd6wfjho', purging

2022-12-01 17:42:01,534 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-ri6ulmo2', purging

2022-12-01 17:42:01,534 - distributed.diskutils - INFO - Found stale lock file and directory '/tmp/output/criteo/test_dask/workdir/dask-worker-space/worker-4sqbbmlr', purging

2022-12-01 17:42:01,535 - distributed.preloading - INFO - Import preload module: dask_cuda.initialize

2022-12-01 17:42:01,805 - distributed.utils - ERROR - std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/utils.py", line 693, in log_errors

yield

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

2022-12-01 17:42:01,807 - distributed.nanny - ERROR - Failed to start worker

Traceback (most recent call last):

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/nanny.py", line 869, in run

await worker

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/core.py", line 299, in _

await self.start()

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 1372, in start

raise plugins_exceptions[0]

File "/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/worker.py", line 3248, in plugin_add

result = plugin.setup(worker=self)

File "/usr/local/lib/python3.8/dist-packages/dask_cuda/utils.py", line 78, in setup

rmm.reinitialize(

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 85, in reinitialize

rmm.mr._initialize(

File "memory_resource.pyx", line 823, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 883, in rmm._lib.memory_resource._initialize

File "memory_resource.pyx", line 342, in rmm._lib.memory_resource.PoolMemoryResource.cinit

MemoryError: std::bad_alloc: out_of_memory: RMM failure at:/opt/rapids/rmm/include/rmm/mr/device/pool_memory_resource.hpp:192: Maximum pool size exceeded

/usr/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 48 leaked semaphore objects to clean up at shutdown

warnings.warn('resource_tracker: There appear to be %d '


---------- coverage: platform linux, python 3.8.10-final-0 -----------

Name                                                                                                  Stmts   Miss  Cover


.tox/test-gpu/lib/python3.8/site-packages/merlin/core/init.py                                         2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/_version.py                                         4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/compat.py                                          10      4    60%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/dispatch.py                                       356    262    26%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/protocols.py                                       99     45    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py                                          195    147    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/init.py                                          5      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/base_operator.py                                   122     79    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/dictarray.py                                        55     31    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/executors.py                                       141    120    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/graph.py                                            99     69    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/node.py                                            344    285    17%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/init.py                                      4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/concat_columns.py                               17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/selection.py                                    22     10    55%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subset_columns.py                               12      4    67%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/ops/subtraction.py                                  21     11    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/dag/selector.py                                        101     82    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/init.py                                     2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/init.py                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/aliccp/dataset.py                   141    107    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/booking/dataset.py                  127    100    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/init.py                  0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/ecommerce/dressipi/dataset.py                  45     37    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/datasets/synthetic.py                                  147     56    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/init.py                                           4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/csv.py                                               57     38    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dask.py                                             181    153    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_engine.py                                  61     47    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataframe_iter.py                                    21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py                                          347    275    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset_engine.py                                    37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/fsspec_utils.py                                     127    108    15%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/hugectr.py                                           45     35    22%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py                                          624    491    21%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/shuffle.py                                           38     24    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/worker.py                                            80     66    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer.py                                           190    152    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/writer_factory.py                                    18     13    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/_version.py                                       4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/api.py                                           14      5    64%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/config/schema.py                                 62     32    48%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/io.py                                            15      7    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/init.py                                0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/backend.py                               379    309    18%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/dataframe_iter.py                         21     17    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/tf_utils.py                               57     27    53%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/loader/utils.py                                  40     15    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/init.py                                   70      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/cross.py                               44     28    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/dlrm.py                                49     36    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/experts.py                             99     75    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/interaction.py                        108     79    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/mlp.py                                117     73    38%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/optimizer.py                          173    127    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/base.py                     175    131    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/matrix_factorization.py      35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/retrieval/two_tower.py                 30     18    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/init.py                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/base.py                       29     11    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/cross_batch.py                46     31    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/in_batch.py                   35     20    43%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/blocks/sampling/queue.py                     115     99    14%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/init.py                               0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/aggregation.py                          241    144    40%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/base.py                                 242    159    34%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/combinators.py                          426    303    29%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/encoder.py                              182    125    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/index.py                                106     71    33%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/prediction.py                            50     23    54%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/core/tabular.py                              280    190    32%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/init.py                        0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/distributed/backend.py                         9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/base.py                                64     49    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/continuous.py                          39     16    59%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/inputs/embedding.py                          458    350    24%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/loader.py                                    268    207    23%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/init.py                             4      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/base.py                                 9      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/listwise.py                            13      2    85%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/losses/pairwise.py                           115     57    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/init.py                            2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/metrics/topk.py                              198    100    49%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/init.py                             0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/base.py                               772    624    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/benchmark.py                           16      6    62%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/ranking.py                             67     47    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/retrieval.py                           78     50    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/models/utils.py                               10      5    50%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/init.py                            0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/base.py                              123     90    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/classification.py                     91     51    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/contrastive.py                       147    107    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/regression.py                          9      2    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/base.py                      78     41    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/in_batch.py                  37     22    41%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/sampling/popularity.py                27     17    37%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/outputs/topk.py                               98     63    36%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/init.py                   0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/base.py                     207    150    28%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/classification.py            68     36    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/multi.py                      7      1    86%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/next_item.py                 59     33    44%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/regression.py                35     19    46%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/prediction_tasks/retrieval.py                 73     48    34%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/init.py                       0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/block.py                        101     54    47%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transformers/transforms.py                    63     14    78%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/init.py                         0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/bias.py                           111     77    31%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/features.py                       435    346    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/noise.py                           43     28    35%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/regularization.py                  17      6    65%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/sequence.py                       282    212    25%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/transforms/tensor.py                         158    111    30%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/typing.py                                      7      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/init.py                              0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/repr_utils.py                           69     61    12%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/search_utils.py                         34     31     9%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/tf/utils/tf_utils.py                            209    169    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/init.py                                 0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/constants.py                                3      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dataset.py                                 38     27    29%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/dependencies.py                            26     19    27%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/doc_utils.py                               10      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/example_utils.py                           31     25    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/misc_utils.py                             118     96    19%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/nvt_utils.py                               27     24    11%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/registry.py                               101     39    61%

.tox/test-gpu/lib/python3.8/site-packages/merlin/models/utils/schema_utils.py                            90     72    20%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/init.py                                       2      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/init.py                                    0      0   100%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/proto_utils.py                                20      6    70%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/schema_bp.py                                 306     26    92%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/io/tensorflow_metadata.py                       190     84    56%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/schema.py                                       229    113    51%

.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py                                          82     19    77%


TOTAL                                                                                                 13134   8924    32%


========================= 2 failed, 1 passed in 50.94s =========================

/usr/local/lib/python3.8/dist-packages/coverage/inorout.py:519: CoverageWarning: Module merlin was never imported. (module-not-imported)

self.warn(f"Module {pkg} was never imported.", slug="module-not-imported")

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

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

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

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[workspace] $ /bin/bash /tmp/jenkins2853163091670224371.sh

@edknv edknv merged commit 5388a1d into NVIDIA-Merlin:main Dec 1, 2022
@edknv edknv deleted the sklearn_to_scikit_learn branch December 1, 2022 18:38
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@oliverholworthy oliverholworthy oliverholworthy approved these changes

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@edknv @nvidia-merlin-bot @oliverholworthy