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Fix link in README and update merlin examples #70

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merged 1 commit into from Nov 18, 2021
Merged

Fix link in README and update merlin examples #70

merged 1 commit into from Nov 18, 2021

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@benfred benfred commented Nov 12, 2021

Fix broken links in the README, and update the examples to reflect latest changes

@benfred
Fix link in README and update merlin examples
0dbff34 
Fix broken links in the README, and update the examples to reflect latest changes
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@albert17 albert17 merged commit 9802eae into NVIDIA-Merlin:main Nov 18, 2021
@benfred benfred deleted the fix_links branch November 18, 2021 21:49
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GitHub pull request #70 of commit 1967b257945d8f5253c3a3a6eba574a3824d85ab, no merge conflicts.
Running as SYSTEM
Setting status of 1967b257945d8f5253c3a3a6eba574a3824d85ab to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_dataloader/99/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_dataloader
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/dataloader # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/dataloader
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/dataloader +refs/pull/70/*:refs/remotes/origin/pr/70/* # timeout=10
 > git rev-parse 1967b257945d8f5253c3a3a6eba574a3824d85ab^{commit} # timeout=10
Checking out Revision 1967b257945d8f5253c3a3a6eba574a3824d85ab (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1967b257945d8f5253c3a3a6eba574a3824d85ab # timeout=10
Commit message: "Add common ignore files to .gitignore"
 > git rev-list --no-walk 3ac0c4095096f5b8ac9e4749a1494c8231b51d3e # timeout=10
[merlin_dataloader] $ /bin/bash /tmp/jenkins6073566034573392737.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_dataloader/dataloader/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu
test-gpu installdeps: -rrequirements/dev.txt, 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_dataloader/dataloader/.tox/.tmp/package/1/merlin-dataloader-0.0.2+14.g1967b25.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==1.27.16,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==1.29.16,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,cpplint==1.6.1,cryptography==38.0.3,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-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2+14.g1967b25,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,moto==4.0.10,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,nbsphinx==0.8.10,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,npy-append-array==0.9.13,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==3.0.3,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,responses==0.22.0,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-markdown-tables==0.0.15,sphinx-multiversion==0.2.4,sphinx-rtd-theme==1.1.1,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@8d23fdd32ee0b2f2d2ee091ac8eb8c1e88271dd4,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,types-toml==0.10.8.1,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,xmltodict==0.13.0,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='2925562345'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-0p4bl6ca
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-0p4bl6ca
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  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: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: jinja2 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.0.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=198522f80371b8a0566db0caf7c58379574531c9eb21cac4279fd1ae5c5dd5b0
  Stored in directory: /tmp/pip-ephem-wheel-cache-mirplegk/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_dataloader/dataloader/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[1] | 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-jln3uxtg
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/nvtabular.git /tmp/pip-req-build-jln3uxtg
  Resolved https://github.com/NVIDIA-Merlin/nvtabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  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 ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.9.0+13.g78f1f0b)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.0.2+14.g1967b25)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
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+11.gee3b7440) (1.10.0)
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+11.gee3b7440) (1.2.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
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+11.gee3b7440) (0.55.1)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.64.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.5.0)
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+11.gee3b7440) (7.0.0)
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+11.gee3b7440) (3.19.5)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (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+11.gee3b7440) (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+11.gee3b7440) (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+11.gee3b7440) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (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>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (0.12.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (5.8.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.4.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.0.0)
Requirement already satisfied: jinja2 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (3.0.3)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (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+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from jinja2->distributed>=2022.3.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (6.0.1)
Building wheels for collected packages: nvtabular
  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+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=709362fd88cc130b5e474cbbd382d044e6b99f1c7c80865fcc4c9d520c620458
  Stored in directory: /tmp/pip-ephem-wheel-cache-qq15sz79/wheels/8f/d9/f9/30f2cdc5bf8787fae6fdfe55afd6e1b493e619ec32c32ec40b
Successfully built nvtabular
Installing collected packages: 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_dataloader/dataloader/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[2] | 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_dataloader/dataloader, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 93 items / 1 skipped

tests/unit/dataloader/test_dataloader_backend.py ....                    [  4%]

tests/unit/dataloader/test_tf_dataloader.py ............................ [ 34%]

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

tests/unit/dataloader/test_tf_embeddings.py ............                 [ 60%]

tests/unit/dataloader/test_torch_dataloader.py ......................... [ 87%]

[ 87%]

tests/unit/dataloader/test_torch_embeddings.py ............              [100%]


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

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

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

DASK_VERSION = LooseVersion(dask.version)


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

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

other = LooseVersion(other)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_seeding[128]

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

A value is trying to be set on a copy of a slice from a DataFrame


See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_empty_error[128]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/loader_base.py:84: UserWarning: no schema associated with the input dataset. Calling dataset.infer_schema to automatically generate

warnings.warn(


tests/unit/dataloader/test_tf_dataloader.py: 7 warnings

tests/unit/dataloader/test_torch_dataloader.py: 11 warnings

/var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:256: UserWarning: Initializing an NVTabular Dataset in CPU mode.This is an experimental feature with extremely limited support!

warnings.warn(


tests/unit/dataloader/test_torch_embeddings.py::test_embedding_torch_dl_with_lookup[None]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/ops/embeddings/torch_embedding_op.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return torch.Tensor(values).to(torch.int32)


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


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

Name                                                     Stmts   Miss  Cover


merlin/dataloader/init.py                                2      0   100%

merlin/dataloader/_version.py                              354    205    42%

merlin/dataloader/jax.py                                    51     51     0%

merlin/dataloader/loader_base.py                           418     31    93%

merlin/dataloader/ops/init.py                            0      0   100%

merlin/dataloader/ops/embeddings/init.py                 0      0   100%

merlin/dataloader/ops/embeddings/embedding_op.py            62      6    90%

merlin/dataloader/ops/embeddings/tf_embedding_op.py         19      0   100%

merlin/dataloader/ops/embeddings/torch_embedding_op.py      20      0   100%

merlin/dataloader/tensorflow.py                            112     20    82%

merlin/dataloader/tf_utils.py                               57     27    53%

merlin/dataloader/torch.py                                  66      8    88%

merlin/loader/init.py                                    4      4     0%

merlin/loader/jax.py                                         1      1     0%

merlin/loader/tensorflow.py                                  1      1     0%

merlin/loader/torch.py                                       1      1     0%


TOTAL                                                     1168    355    70%


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

SKIPPED [1] tests/unit/dataloader/test_jax_dataloader.py:24: could not import 'jax': No module named 'jax'

SKIPPED [1] tests/unit/dataloader/test_tf_dataloader.py:476: not working correctly in ci environment

============ 92 passed, 2 skipped, 56 warnings in 169.79s (0:02:49) ============

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_dataloader] $ /bin/bash /tmp/jenkins17039546873813620424.sh

@nvidia-merlin-bot
Copy link
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Click to view CI Results
GitHub pull request #70 of commit 114ce3eb53955c35f477db9c219238e542aa9059, no merge conflicts.
Running as SYSTEM
Setting status of 114ce3eb53955c35f477db9c219238e542aa9059 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_dataloader/106/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_dataloader
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/dataloader # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/dataloader
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/dataloader +refs/pull/70/*:refs/remotes/origin/pr/70/* # timeout=10
 > git rev-parse 114ce3eb53955c35f477db9c219238e542aa9059^{commit} # timeout=10
Checking out Revision 114ce3eb53955c35f477db9c219238e542aa9059 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 114ce3eb53955c35f477db9c219238e542aa9059 # timeout=10
Commit message: "Merge branch 'main' into update-gitignore"
 > git rev-list --no-walk 7452daa3bdd288f61fa801daf8030fc21ae5810f # timeout=10
[merlin_dataloader] $ /bin/bash /tmp/jenkins15241312620467145552.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_dataloader/dataloader/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu
test-gpu installdeps: -rrequirements/dev.txt, 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_dataloader/dataloader/.tox/.tmp/package/1/merlin-dataloader-0.0.2+17.g114ce3e.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==1.27.17,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==1.29.17,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,cpplint==1.6.1,cryptography==38.0.4,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-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2+17.g114ce3e,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,moto==4.0.10,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,nbsphinx==0.8.10,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,npy-append-array==0.9.13,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==3.0.3,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,responses==0.22.0,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-markdown-tables==0.0.15,sphinx-multiversion==0.2.4,sphinx-rtd-theme==1.1.1,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@8d23fdd32ee0b2f2d2ee091ac8eb8c1e88271dd4,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,types-toml==0.10.8.1,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,xmltodict==0.13.0,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='3858798003'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-_98vx_w8
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-_98vx_w8
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  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: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: jinja2 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.0.3)
Requirement already satisfied: tornado>=6.0.3 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.2)
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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=6e9767b8cd992bb92c2c7df17e8c31ba911a9a398fbeefb36e6790e2826e2caf
  Stored in directory: /tmp/pip-ephem-wheel-cache-7i4vf2dj/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.9.0
    Uninstalling merlin-core-0.9.0:
      Successfully uninstalled merlin-core-0.9.0
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[1] | 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-ztvaxm0c
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/nvtabular.git /tmp/pip-req-build-ztvaxm0c
  Resolved https://github.com/NVIDIA-Merlin/nvtabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  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 ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.9.0+13.g78f1f0b)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.0.2+17.g114ce3e)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.5.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
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+11.gee3b7440) (3.19.5)
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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->nvtabular==1.6.0+11.gee3b7440) (6.0.1)
Building wheels for collected packages: nvtabular
  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+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=63e2d320bdc5e5ffa667bf1fdbf846b350dcbe99e69d7e40d6c285da369b434a
  Stored in directory: /tmp/pip-ephem-wheel-cache-uq2_7gr9/wheels/8f/d9/f9/30f2cdc5bf8787fae6fdfe55afd6e1b493e619ec32c32ec40b
Successfully built nvtabular
Installing collected packages: 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_dataloader/dataloader/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[2] | 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_dataloader/dataloader, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 93 items / 1 skipped

tests/unit/dataloader/test_dataloader_backend.py ....                    [  4%]

tests/unit/dataloader/test_tf_dataloader.py ............................ [ 34%]

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

tests/unit/dataloader/test_tf_embeddings.py ............                 [ 60%]

tests/unit/dataloader/test_torch_dataloader.py ......................... [ 87%]

[ 87%]

tests/unit/dataloader/test_torch_embeddings.py ............              [100%]


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

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

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

DASK_VERSION = LooseVersion(dask.version)


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

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

other = LooseVersion(other)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_seeding[128]

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

A value is trying to be set on a copy of a slice from a DataFrame


See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_empty_error[128]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/loader_base.py:84: UserWarning: no schema associated with the input dataset. Calling dataset.infer_schema to automatically generate

warnings.warn(


tests/unit/dataloader/test_tf_dataloader.py: 7 warnings

tests/unit/dataloader/test_torch_dataloader.py: 11 warnings

/var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:256: UserWarning: Initializing an NVTabular Dataset in CPU mode.This is an experimental feature with extremely limited support!

warnings.warn(


tests/unit/dataloader/test_torch_embeddings.py::test_embedding_torch_dl_with_lookup[None]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/ops/embeddings/torch_embedding_op.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return torch.Tensor(values).to(torch.int32)


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


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

Name                                                     Stmts   Miss  Cover


merlin/dataloader/init.py                                2      0   100%

merlin/dataloader/_version.py                              354    205    42%

merlin/dataloader/jax.py                                    51     51     0%

merlin/dataloader/loader_base.py                           418     31    93%

merlin/dataloader/ops/init.py                            0      0   100%

merlin/dataloader/ops/embeddings/init.py                 0      0   100%

merlin/dataloader/ops/embeddings/embedding_op.py            62      6    90%

merlin/dataloader/ops/embeddings/tf_embedding_op.py         19      0   100%

merlin/dataloader/ops/embeddings/torch_embedding_op.py      20      0   100%

merlin/dataloader/tensorflow.py                            112     20    82%

merlin/dataloader/tf_utils.py                               57     27    53%

merlin/dataloader/torch.py                                  66      8    88%

merlin/loader/init.py                                    4      4     0%

merlin/loader/jax.py                                         1      1     0%

merlin/loader/tensorflow.py                                  1      1     0%

merlin/loader/torch.py                                       1      1     0%


TOTAL                                                     1168    355    70%


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

SKIPPED [1] tests/unit/dataloader/test_jax_dataloader.py:24: could not import 'jax': No module named 'jax'

SKIPPED [1] tests/unit/dataloader/test_tf_dataloader.py:476: not working correctly in ci environment

============ 92 passed, 2 skipped, 56 warnings in 157.81s (0:02:37) ============

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_dataloader] $ /bin/bash /tmp/jenkins15423053113006119482.sh

@nvidia-merlin-bot
Copy link
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Click to view CI Results
GitHub pull request #70 of commit 4fe997b8887741fab9b051c11b77cc611c7ade7d, no merge conflicts.
Running as SYSTEM
Setting status of 4fe997b8887741fab9b051c11b77cc611c7ade7d to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_dataloader/114/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_dataloader
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/dataloader # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/dataloader
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/dataloader +refs/pull/70/*:refs/remotes/origin/pr/70/* # timeout=10
 > git rev-parse 4fe997b8887741fab9b051c11b77cc611c7ade7d^{commit} # timeout=10
Checking out Revision 4fe997b8887741fab9b051c11b77cc611c7ade7d (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 4fe997b8887741fab9b051c11b77cc611c7ade7d # timeout=10
Commit message: "Add more files to .gitignore"
 > git rev-list --no-walk f0be40899855ea22124db370752e72b83801750c # timeout=10
[merlin_dataloader] $ /bin/bash /tmp/jenkins18402152507993998637.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_dataloader/dataloader/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu
test-gpu installdeps: -rrequirements/dev.txt, 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_dataloader/dataloader/.tox/.tmp/package/1/merlin-dataloader-0.0.2+18.g4fe997b.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==1.27.17,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==1.29.17,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,cpplint==1.6.1,cryptography==38.0.4,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-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2+18.g4fe997b,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,moto==4.0.10,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,nbsphinx==0.8.10,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,npy-append-array==0.9.13,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==3.0.3,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,responses==0.22.0,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-markdown-tables==0.0.15,sphinx-multiversion==0.2.4,sphinx-rtd-theme==1.1.1,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@8d23fdd32ee0b2f2d2ee091ac8eb8c1e88271dd4,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,types-toml==0.10.8.1,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,xmltodict==0.13.0,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='2934150899'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-bkvma9sq
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-bkvma9sq
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  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: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: tornado>=6.0.3 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.2)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: jinja2 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.0.3)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=a60af46630184b8fcf9206617ecb35f167d0cd29c33c39718eb5da5c87ba6754
  Stored in directory: /tmp/pip-ephem-wheel-cache-dgtg1mvn/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.9.0
    Uninstalling merlin-core-0.9.0:
      Successfully uninstalled merlin-core-0.9.0
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[1] | 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-or3dt84j
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/nvtabular.git /tmp/pip-req-build-or3dt84j
  Resolved https://github.com/NVIDIA-Merlin/nvtabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  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 ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.9.0+13.g78f1f0b)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.0.2+18.g4fe997b)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from nvtabular==1.6.0+11.gee3b7440) (1.8.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (21.3)
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+11.gee3b7440) (0.55.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (2022.3.0)
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Building wheels for collected packages: nvtabular
  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+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=97af1be173adc8a221fc7dc83dc317d24dc7a5a930b84c42e4c367f9137ae27c
  Stored in directory: /tmp/pip-ephem-wheel-cache-q9er_3kh/wheels/8f/d9/f9/30f2cdc5bf8787fae6fdfe55afd6e1b493e619ec32c32ec40b
Successfully built nvtabular
Installing collected packages: 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_dataloader/dataloader/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[2] | 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_dataloader/dataloader, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 93 items / 1 skipped

tests/unit/dataloader/test_dataloader_backend.py ....                    [  4%]

tests/unit/dataloader/test_tf_dataloader.py ............................ [ 34%]

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

tests/unit/dataloader/test_tf_embeddings.py ............                 [ 60%]

tests/unit/dataloader/test_torch_dataloader.py ......................... [ 87%]

[ 87%]

tests/unit/dataloader/test_torch_embeddings.py .....FFF....              [100%]


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

_________________ test_embedding_torch_np_dl_with_lookup[cpu] __________________


cls = <class 'dask_cudf.io.parquet.CudfEngine'>

fs = <fsspec.implementations.local.LocalFileSystem object at 0x7fb46968eb20>

pieces = [('/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet', [0, 1, 2, 3, 4, 5, ...], [])]

columns = ['id', '0', '1', '2', '3', '4', ...], index = False, categories = []

partitions = []

partitioning = {'obj': <class 'pyarrow._dataset.HivePartitioning'>}

schema = id: int32 not null

0: double not null

1: double not null

2: double not null

3: double not null

4: double not null

5: d...uble not null

-- schema metadata --

pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 109760

open_file_options = None

kwargs = {'dataset': {}, 'filters': None, 'read': {'open_file_options': {}}}

read_columns = None, ignored = set(), strings_to_cats = False

read_kwargs = {'open_file_options': {}}, check_file_size = None

paths = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

rgs = [[0, 1, 2, 3, 4, 5, ...]]


@classmethod
def read_partition(
    cls,
    fs,
    pieces,
    columns,
    index,
    categories=(),
    partitions=(),
    partitioning=None,
    schema=None,
    open_file_options=None,
    **kwargs,
):

    if columns is not None:
        columns = [c for c in columns]
    if isinstance(index, list):
        columns += index

    # Check if we are actually selecting any columns
    read_columns = columns
    if schema and columns:
        ignored = set(schema.names) - set(columns)
        if not ignored:
            read_columns = None

    if not isinstance(pieces, list):
        pieces = [pieces]

    # Extract supported kwargs from `kwargs`
    strings_to_cats = kwargs.get("strings_to_categorical", False)
    read_kwargs = kwargs.get("read", {})
    read_kwargs.update(open_file_options or {})
    check_file_size = read_kwargs.pop("check_file_size", None)

    # Wrap reading logic in a `try` block so that we can
    # inform the user that the `read_parquet` partition
    # size is too large for the available memory
    try:

        # Assume multi-piece read
        paths = []
        rgs = []
        last_partition_keys = None
        dfs = []

        for i, piece in enumerate(pieces):

            (path, row_group, partition_keys) = piece
            row_group = None if row_group == [None] else row_group

            # File-size check to help "protect" users from change
            # to up-stream `split_row_groups` default. We only
            # check the file size if this partition corresponds
            # to a full file, and `check_file_size` is defined
            if check_file_size and len(pieces) == 1 and row_group is None:
                file_size = fs.size(path)
                if file_size > check_file_size:
                    warnings.warn(
                        f"A large parquet file ({file_size}B) is being "
                        f"used to create a DataFrame partition in "
                        f"read_parquet. This may cause out of memory "
                        f"exceptions in operations downstream. See the "
                        f"notes on split_row_groups in the read_parquet "
                        f"documentation. Setting split_row_groups "
                        f"explicitly will silence this warning."
                    )

            if i > 0 and partition_keys != last_partition_keys:
                dfs.append(
                    cls._read_paths(
                        paths,
                        fs,
                        columns=read_columns,
                        row_groups=rgs if rgs else None,
                        strings_to_categorical=strings_to_cats,
                        partitions=partitions,
                        partitioning=partitioning,
                        partition_keys=last_partition_keys,
                        **read_kwargs,
                    )
                )
                paths = rgs = []
                last_partition_keys = None
            paths.append(path)
            rgs.append(
                [row_group]
                if not isinstance(row_group, list)
                and row_group is not None
                else row_group
            )
            last_partition_keys = partition_keys

        dfs.append(





          cls._read_paths(





                paths,
                fs,
                columns=read_columns,
                row_groups=rgs if rgs else None,
                strings_to_categorical=strings_to_cats,
                partitions=partitions,
                partitioning=partitioning,
                partition_keys=last_partition_keys,
                **read_kwargs,
            )
        )



/usr/local/lib/python3.8/dist-packages/dask_cudf/io/parquet.py:241:




cls = <class 'dask_cudf.io.parquet.CudfEngine'>

paths = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

fs = <fsspec.implementations.local.LocalFileSystem object at 0x7fb46968eb20>

columns = None, row_groups = [[0, 1, 2, 3, 4, 5, ...]]

strings_to_categorical = False, partitions = []

partitioning = {'obj': <class 'pyarrow._dataset.HivePartitioning'>}

partition_keys = [], open_file_options = {}, kwargs = {}

stack = <contextlib.ExitStack object at 0x7fb3cc798070>

paths_or_fobs = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']


@classmethod
def _read_paths(
    cls,
    paths,
    fs,
    columns=None,
    row_groups=None,
    strings_to_categorical=None,
    partitions=None,
    partitioning=None,
    partition_keys=None,
    open_file_options=None,
    **kwargs,
):

    # Simplify row_groups if all None
    if row_groups == [None for path in paths]:
        row_groups = None

    with ExitStack() as stack:

        # Non-local filesystem handling
        paths_or_fobs = paths
        if not _is_local_filesystem(fs):
            paths_or_fobs = _open_remote_files(
                paths_or_fobs,
                fs,
                context_stack=stack,
                **_default_open_file_options(
                    open_file_options, columns, row_groups
                ),
            )

        # Use cudf to read in data





      df = cudf.read_parquet(





            paths_or_fobs,
            engine="cudf",
            columns=columns,
            row_groups=row_groups if row_groups else None,
            strings_to_categorical=strings_to_categorical,
            **kwargs,
        )



/usr/local/lib/python3.8/dist-packages/dask_cudf/io/parquet.py:92:




args = (['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet'],)

kwargs = {'columns': None, 'engine': 'cudf', 'row_groups': [[0, 1, 2, 3, 4, 5, ...]], 'strings_to_categorical': False}


@wraps(func)
def inner(*args, **kwargs):
    libnvtx_push_range(self.attributes, self.domain.handle)





  result = func(*args, **kwargs)





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




filepath_or_buffer = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

engine = 'cudf', columns = None, filters = None

row_groups = [[0, 1, 2, 3, 4, 5, ...]], skiprows = None, num_rows = None

strings_to_categorical = False, use_pandas_metadata = True

use_python_file_object = True, categorical_partitions = True

open_file_options = {}, args = (), kwargs = {}

fs = <fsspec.implementations.local.LocalFileSystem object at 0x7fb46968eb20>

paths = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

partition_keys = [], partition_categories = {}

filepaths_or_buffers = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

i = 0, source = '/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet'

tmp_source = '/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet'

compression = None


@ioutils.doc_read_parquet()
@_cudf_nvtx_annotate
def read_parquet(
    filepath_or_buffer,
    engine="cudf",
    columns=None,
    filters=None,
    row_groups=None,
    skiprows=None,
    num_rows=None,
    strings_to_categorical=False,
    use_pandas_metadata=True,
    use_python_file_object=True,
    categorical_partitions=True,
    open_file_options=None,
    *args,
    **kwargs,
):
    """{docstring}"""

    # Do not allow the user to set file-opening options
    # when `use_python_file_object=False` is specified
    if use_python_file_object is False:
        if open_file_options:
            raise ValueError(
                "open_file_options is not currently supported when "
                "use_python_file_object is set to False."
            )
        open_file_options = {}

    # Multiple sources are passed as a list. If a single source is passed,
    # wrap it in a list for unified processing downstream.
    if not is_list_like(filepath_or_buffer):
        filepath_or_buffer = [filepath_or_buffer]

    # a list of row groups per source should be passed. make the list of
    # lists that is expected for multiple sources
    if row_groups is not None:
        if not is_list_like(row_groups):
            row_groups = [[row_groups]]
        elif not is_list_like(row_groups[0]):
            row_groups = [row_groups]

    # Check columns input
    if columns is not None:
        if not is_list_like(columns):
            raise ValueError("Expected list like for columns")

    # Start by trying construct a filesystem object, so we
    # can apply filters on remote file-systems
    fs, paths = ioutils._get_filesystem_and_paths(filepath_or_buffer, **kwargs)

    # Use pyarrow dataset to detect/process directory-partitioned
    # data and apply filters. Note that we can only support partitioned
    # data and filtering if the input is a single directory or list of
    # paths.
    partition_keys = []
    partition_categories = {}
    if fs and paths:
        (
            paths,
            row_groups,
            partition_keys,
            partition_categories,
        ) = _process_dataset(
            paths,
            fs,
            filters=filters,
            row_groups=row_groups,
            categorical_partitions=categorical_partitions,
        )
    elif filters is not None:
        raise ValueError("cudf cannot apply filters to open file objects.")
    filepath_or_buffer = paths if paths else filepath_or_buffer

    filepaths_or_buffers = []
    if use_python_file_object:
        open_file_options = _default_open_file_options(
            open_file_options,
            columns,
            row_groups,
            fs=fs,
        )
    for i, source in enumerate(filepath_or_buffer):
        tmp_source, compression = ioutils.get_reader_filepath_or_buffer(
            path_or_data=source,
            compression=None,
            fs=fs,
            use_python_file_object=use_python_file_object,
            open_file_options=open_file_options,
            **kwargs,
        )

        if compression is not None:
            raise ValueError(
                "URL content-encoding decompression is not supported"
            )
        if isinstance(tmp_source, list):
            filepath_or_buffer.extend(tmp_source)
        else:
            filepaths_or_buffers.append(tmp_source)

    # Warn user if they are not using cudf for IO
    # (There is a good chance this was not the intention)
    if engine != "cudf":
        warnings.warn(
            "Using CPU via PyArrow to read Parquet dataset. "
            "This option is both inefficient and unstable!"
        )
        if filters is not None:
            warnings.warn(
                "Parquet row-group filtering is only supported with "
                "'engine=cudf'. Use pandas or pyarrow API directly "
                "for full CPU-based filtering functionality."
            )





  return _parquet_to_frame(





        filepaths_or_buffers,
        engine,
        *args,
        columns=columns,
        row_groups=row_groups,
        skiprows=skiprows,
        num_rows=num_rows,
        strings_to_categorical=strings_to_categorical,
        use_pandas_metadata=use_pandas_metadata,
        partition_keys=partition_keys,
        partition_categories=partition_categories,
        **kwargs,
    )



/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:470:




args = (['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet'], 'cudf')

kwargs = {'columns': None, 'num_rows': None, 'partition_categories': {}, 'partition_keys': [], ...}


@wraps(func)
def inner(*args, **kwargs):
    libnvtx_push_range(self.attributes, self.domain.handle)





  result = func(*args, **kwargs)





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




paths_or_buffers = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

row_groups = [[0, 1, 2, 3, 4, 5, ...]], partition_keys = []

partition_categories = {}, args = ('cudf',)

kwargs = {'columns': None, 'num_rows': None, 'skiprows': None, 'strings_to_categorical': False, ...}


@_cudf_nvtx_annotate
def _parquet_to_frame(
    paths_or_buffers,
    *args,
    row_groups=None,
    partition_keys=None,
    partition_categories=None,
    **kwargs,
):

    # If this is not a partitioned read, only need
    # one call to `_read_parquet`
    if not partition_keys:





      return _read_parquet(





            paths_or_buffers,
            *args,
            row_groups=row_groups,
            **kwargs,
        )



/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:499:




args = (['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet'], 'cudf')

kwargs = {'columns': None, 'num_rows': None, 'row_groups': [[0, 1, 2, 3, 4, 5, ...]], 'skiprows': None, ...}


@wraps(func)
def inner(*args, **kwargs):
    libnvtx_push_range(self.attributes, self.domain.handle)





  result = func(*args, **kwargs)





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




filepaths_or_buffers = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

engine = 'cudf', columns = None, row_groups = [[0, 1, 2, 3, 4, 5, ...]]

skiprows = None, num_rows = None, strings_to_categorical = False

use_pandas_metadata = True, args = (), kwargs = {}


@_cudf_nvtx_annotate
def _read_parquet(
    filepaths_or_buffers,
    engine,
    columns=None,
    row_groups=None,
    skiprows=None,
    num_rows=None,
    strings_to_categorical=None,
    use_pandas_metadata=None,
    *args,
    **kwargs,
):
    # Simple helper function to dispatch between
    # cudf and pyarrow to read parquet data
    if engine == "cudf":





      return libparquet.read_parquet(





            filepaths_or_buffers,
            columns=columns,
            row_groups=row_groups,
            skiprows=skiprows,
            num_rows=num_rows,
            strings_to_categorical=strings_to_categorical,
            use_pandas_metadata=use_pandas_metadata,
        )



/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:576:






???




cudf/_lib/parquet.pyx:113:






???

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




cudf/_lib/parquet.pyx:173: MemoryError


During handling of the above exception, another exception occurred:


tmpdir = local('/tmp/pytest-of-jenkins/pytest-10/test_embedding_torch_np_dl_wit1')

rev_embedding_ids =           id

0      99999

1      99998

2      99997

3      99996

4      99995

...      ...

99995      4

99996      3

99997      2

99998      1

99999      0


[100000 rows x 1 columns]

embeddings_from_dataframe = local('/tmp/pytest-of-jenkins/pytest-10/embeds0')

cpu = 'cpu'


@pytest.mark.parametrize("cpu", [None, "cpu"] if HAS_GPU else ["cpu"])
def test_embedding_torch_np_dl_with_lookup(
    tmpdir, rev_embedding_ids, embeddings_from_dataframe, cpu
):
    cat_names = ["id"]
    batch_size = 10000
    embedding_ids = rev_embedding_ids
    pq_path = tmpdir / "id.parquet"
    embedding_ids.to_parquet(pq_path)
    dataset = Dataset(str(pq_path))
    dataset = dataset.repartition(10)
    schema = dataset.schema
    for col_name in cat_names:
        schema[col_name] = schema[col_name].with_tags(Tags.CATEGORICAL)
    dataset.schema = schema
    paths = sorted(glob.glob(f"{embeddings_from_dataframe}/*"))
    embeddings_ds = Dataset(paths)





  embeddings_df = embeddings_ds.to_ddf().compute().to_numpy()[:, 1:]





tests/unit/dataloader/test_torch_embeddings.py:120:




../../../.local/lib/python3.8/site-packages/dask/base.py:292: in compute

(result,) = compute(self, traverse=False, **kwargs)

../../../.local/lib/python3.8/site-packages/dask/base.py:575: in compute

results = schedule(dsk, keys, **kwargs)

../../../.local/lib/python3.8/site-packages/dask/local.py:554: in get_sync

return get_async(

../../../.local/lib/python3.8/site-packages/dask/local.py:497: in get_async

for key, res_info, failed in queue_get(queue).result():

/usr/lib/python3.8/concurrent/futures/_base.py:437: in result

return self.__get_result()

/usr/lib/python3.8/concurrent/futures/_base.py:389: in __get_result

raise self._exception

../../../.local/lib/python3.8/site-packages/dask/local.py:539: in submit

fut.set_result(fn(*args, **kwargs))

../../../.local/lib/python3.8/site-packages/dask/local.py:235: in batch_execute_tasks

return [execute_task(a) for a in it]

../../../.local/lib/python3.8/site-packages/dask/local.py:235: in 

return [execute_task(a) for a in it]

../../../.local/lib/python3.8/site-packages/dask/local.py:226: in execute_task

result = pack_exception(e, dumps)

../../../.local/lib/python3.8/site-packages/dask/local.py:221: in execute_task

result = _execute_task(task, data)

../../../.local/lib/python3.8/site-packages/dask/core.py:119: in _execute_task

return func((_execute_task(a, cache) for a in args))

../../../.local/lib/python3.8/site-packages/dask/optimization.py:990: in call

return core.get(self.dsk, self.outkey, dict(zip(self.inkeys, args)))

../../../.local/lib/python3.8/site-packages/dask/core.py:149: in get

result = _execute_task(task, cache)

../../../.local/lib/python3.8/site-packages/dask/core.py:119: in _execute_task

return func((_execute_task(a, cache) for a in args))

../../../.local/lib/python3.8/site-packages/dask/dataframe/io/parquet/core.py:82: in call

return read_parquet_part(

../../../.local/lib/python3.8/site-packages/dask/dataframe/io/parquet/core.py:490: in read_parquet_part

dfs = [

../../../.local/lib/python3.8/site-packages/dask/dataframe/io/parquet/core.py:491: in 

func(fs, rg, columns.copy(), index, **toolz.merge(kwargs, kw))

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py:128: in read_partition

return CudfEngine.read_partition(fs, pieces, *args, **kwargs)




cls = <class 'dask_cudf.io.parquet.CudfEngine'>

fs = <fsspec.implementations.local.LocalFileSystem object at 0x7fb46968eb20>

pieces = [('/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet', [0, 1, 2, 3, 4, 5, ...], [])]

columns = ['id', '0', '1', '2', '3', '4', ...], index = False, categories = []

partitions = []

partitioning = {'obj': <class 'pyarrow._dataset.HivePartitioning'>}

schema = id: int32 not null

0: double not null

1: double not null

2: double not null

3: double not null

4: double not null

5: d...uble not null

-- schema metadata --

pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 109760

open_file_options = None

kwargs = {'dataset': {}, 'filters': None, 'read': {'open_file_options': {}}}

read_columns = None, ignored = set(), strings_to_cats = False

read_kwargs = {'open_file_options': {}}, check_file_size = None

paths = ['/tmp/pytest-of-jenkins/pytest-10/embeds0/0.parquet']

rgs = [[0, 1, 2, 3, 4, 5, ...]]


@classmethod
def read_partition(
    cls,
    fs,
    pieces,
    columns,
    index,
    categories=(),
    partitions=(),
    partitioning=None,
    schema=None,
    open_file_options=None,
    **kwargs,
):

    if columns is not None:
        columns = [c for c in columns]
    if isinstance(index, list):
        columns += index

    # Check if we are actually selecting any columns
    read_columns = columns
    if schema and columns:
        ignored = set(schema.names) - set(columns)
        if not ignored:
            read_columns = None

    if not isinstance(pieces, list):
        pieces = [pieces]

    # Extract supported kwargs from `kwargs`
    strings_to_cats = kwargs.get("strings_to_categorical", False)
    read_kwargs = kwargs.get("read", {})
    read_kwargs.update(open_file_options or {})
    check_file_size = read_kwargs.pop("check_file_size", None)

    # Wrap reading logic in a `try` block so that we can
    # inform the user that the `read_parquet` partition
    # size is too large for the available memory
    try:

        # Assume multi-piece read
        paths = []
        rgs = []
        last_partition_keys = None
        dfs = []

        for i, piece in enumerate(pieces):

            (path, row_group, partition_keys) = piece
            row_group = None if row_group == [None] else row_group

            # File-size check to help "protect" users from change
            # to up-stream `split_row_groups` default. We only
            # check the file size if this partition corresponds
            # to a full file, and `check_file_size` is defined
            if check_file_size and len(pieces) == 1 and row_group is None:
                file_size = fs.size(path)
                if file_size > check_file_size:
                    warnings.warn(
                        f"A large parquet file ({file_size}B) is being "
                        f"used to create a DataFrame partition in "
                        f"read_parquet. This may cause out of memory "
                        f"exceptions in operations downstream. See the "
                        f"notes on split_row_groups in the read_parquet "
                        f"documentation. Setting split_row_groups "
                        f"explicitly will silence this warning."
                    )

            if i > 0 and partition_keys != last_partition_keys:
                dfs.append(
                    cls._read_paths(
                        paths,
                        fs,
                        columns=read_columns,
                        row_groups=rgs if rgs else None,
                        strings_to_categorical=strings_to_cats,
                        partitions=partitions,
                        partitioning=partitioning,
                        partition_keys=last_partition_keys,
                        **read_kwargs,
                    )
                )
                paths = rgs = []
                last_partition_keys = None
            paths.append(path)
            rgs.append(
                [row_group]
                if not isinstance(row_group, list)
                and row_group is not None
                else row_group
            )
            last_partition_keys = partition_keys

        dfs.append(
            cls._read_paths(
                paths,
                fs,
                columns=read_columns,
                row_groups=rgs if rgs else None,
                strings_to_categorical=strings_to_cats,
                partitions=partitions,
                partitioning=partitioning,
                partition_keys=last_partition_keys,
                **read_kwargs,
            )
        )
        df = cudf.concat(dfs) if len(dfs) > 1 else dfs[0]

        # Re-set "object" dtypes align with pa schema
        set_object_dtypes_from_pa_schema(df, schema)

        if index and (index[0] in df.columns):
            df = df.set_index(index[0])
        elif index is False and df.index.names != (None,):
            # If index=False, we shouldn't have a named index
            df.reset_index(inplace=True)

    except MemoryError as err:





      raise MemoryError(





            "Parquet data was larger than the available GPU memory!\n\n"
            "See the notes on split_row_groups in the read_parquet "
            "documentation.\n\n"
            "Original Error: " + str(err)
        )



E           MemoryError: Parquet data was larger than the available GPU memory!

E

E           See the notes on split_row_groups in the read_parquet documentation.

E

E           Original Error: 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


/usr/local/lib/python3.8/dist-packages/dask_cudf/io/parquet.py:265: MemoryError

__________________ test_embedding_torch_np_dl_no_lookup[None] __________________


tmpdir = local('/tmp/pytest-of-jenkins/pytest-10/test_embedding_torch_np_dl_no_0')

embedding_ids =           id

0          0

1          1

2          2

3          3

4          4

...      ...

99995  99995

99996  99996

99997  99997

99998  99998

99999  99999


[100000 rows x 1 columns]

embeddings_from_dataframe = local('/tmp/pytest-of-jenkins/pytest-10/embeds0')

cpu = None


@pytest.mark.parametrize("cpu", [None, "cpu"] if HAS_GPU else ["cpu"])
def test_embedding_torch_np_dl_no_lookup(tmpdir, embedding_ids, embeddings_from_dataframe, cpu):
    cat_names = ["id"]
    batch_size = 10000
    pq_path = tmpdir / "id.parquet"
    embedding_ids.to_parquet(pq_path)
    dataset = Dataset(str(pq_path))
    dataset = dataset.repartition(10)
    schema = dataset.schema
    for col_name in cat_names:
        schema[col_name] = schema[col_name].with_tags(Tags.CATEGORICAL)
    dataset.schema = schema
    paths = sorted(glob.glob(f"{embeddings_from_dataframe}/*"))





  embeddings_ds = Dataset(paths)





tests/unit/dataloader/test_torch_embeddings.py:154:




.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:308: in init

self.engine = ParquetDatasetEngine(

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py:311: in init

self._real_meta, rg_byte_size_0 = run_on_worker(

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py:486: in run_on_worker

return func(*args, **kwargs)

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py:1210: in _sample_row_group

_df = cudf.io.read_parquet(path, row_groups=0, **kwargs)

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

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:470: in read_parquet

return _parquet_to_frame(

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

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:499: in _parquet_to_frame

return _read_parquet(

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

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:576: in _read_parquet

return libparquet.read_parquet(

cudf/_lib/parquet.pyx:113: in cudf._lib.parquet.read_parquet

???






???

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




cudf/_lib/parquet.pyx:173: MemoryError

__________________ test_embedding_torch_np_dl_no_lookup[cpu] ___________________


tmpdir = local('/tmp/pytest-of-jenkins/pytest-10/test_embedding_torch_np_dl_no_1')

embedding_ids =           id

0          0

1          1

2          2

3          3

4          4

...      ...

99995  99995

99996  99996

99997  99997

99998  99998

99999  99999


[100000 rows x 1 columns]

embeddings_from_dataframe = local('/tmp/pytest-of-jenkins/pytest-10/embeds0')

cpu = 'cpu'


@pytest.mark.parametrize("cpu", [None, "cpu"] if HAS_GPU else ["cpu"])
def test_embedding_torch_np_dl_no_lookup(tmpdir, embedding_ids, embeddings_from_dataframe, cpu):
    cat_names = ["id"]
    batch_size = 10000
    pq_path = tmpdir / "id.parquet"
    embedding_ids.to_parquet(pq_path)
    dataset = Dataset(str(pq_path))
    dataset = dataset.repartition(10)
    schema = dataset.schema
    for col_name in cat_names:
        schema[col_name] = schema[col_name].with_tags(Tags.CATEGORICAL)
    dataset.schema = schema
    paths = sorted(glob.glob(f"{embeddings_from_dataframe}/*"))





  embeddings_ds = Dataset(paths)





tests/unit/dataloader/test_torch_embeddings.py:154:




.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:308: in init

self.engine = ParquetDatasetEngine(

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py:311: in init

self._real_meta, rg_byte_size_0 = run_on_worker(

.tox/test-gpu/lib/python3.8/site-packages/merlin/core/utils.py:486: in run_on_worker

return func(*args, **kwargs)

.tox/test-gpu/lib/python3.8/site-packages/merlin/io/parquet.py:1210: in _sample_row_group

_df = cudf.io.read_parquet(path, row_groups=0, **kwargs)

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

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:470: in read_parquet

return _parquet_to_frame(

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

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:499: in _parquet_to_frame

return _read_parquet(

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

result = func(*args, **kwargs)

/usr/local/lib/python3.8/dist-packages/cudf/io/parquet.py:576: in _read_parquet

return libparquet.read_parquet(

cudf/_lib/parquet.pyx:113: in cudf._lib.parquet.read_parquet

???






???

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




cudf/_lib/parquet.pyx:173: MemoryError

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

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

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

DASK_VERSION = LooseVersion(dask.version)


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

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

other = LooseVersion(other)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_seeding[128]

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

A value is trying to be set on a copy of a slice from a DataFrame


See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_empty_error[128]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/loader_base.py:84: UserWarning: no schema associated with the input dataset. Calling dataset.infer_schema to automatically generate

warnings.warn(


tests/unit/dataloader/test_tf_dataloader.py: 7 warnings

tests/unit/dataloader/test_torch_dataloader.py: 11 warnings

/var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:256: UserWarning: Initializing an NVTabular Dataset in CPU mode.This is an experimental feature with extremely limited support!

warnings.warn(


tests/unit/dataloader/test_torch_embeddings.py::test_embedding_torch_dl_with_lookup[None]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/ops/embeddings/torch_embedding_op.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return torch.Tensor(values).to(torch.int32)


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


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

Name                                                     Stmts   Miss  Cover


merlin/dataloader/init.py                                2      0   100%

merlin/dataloader/_version.py                              354    205    42%

merlin/dataloader/jax.py                                    51     51     0%

merlin/dataloader/loader_base.py                           418     31    93%

merlin/dataloader/ops/init.py                            0      0   100%

merlin/dataloader/ops/embeddings/init.py                 0      0   100%

merlin/dataloader/ops/embeddings/embedding_op.py            62      6    90%

merlin/dataloader/ops/embeddings/tf_embedding_op.py         19      0   100%

merlin/dataloader/ops/embeddings/torch_embedding_op.py      20      0   100%

merlin/dataloader/tensorflow.py                            112     20    82%

merlin/dataloader/tf_utils.py                               57     27    53%

merlin/dataloader/torch.py                                  66      8    88%

merlin/loader/init.py                                    4      4     0%

merlin/loader/jax.py                                         1      1     0%

merlin/loader/tensorflow.py                                  1      1     0%

merlin/loader/torch.py                                       1      1     0%


TOTAL                                                     1168    355    70%


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

SKIPPED [1] tests/unit/dataloader/test_jax_dataloader.py:24: could not import 'jax': No module named 'jax'

SKIPPED [1] tests/unit/dataloader/test_tf_dataloader.py:476: not working correctly in ci environment

======= 3 failed, 89 passed, 2 skipped, 56 warnings in 154.28s (0:02:34) =======

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

___________________________________ summary ____________________________________

ERROR:   test-gpu: commands failed

Build step 'Execute shell' marked build as failure

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_dataloader] $ /bin/bash /tmp/jenkins16214706779671510997.sh

@nvidia-merlin-bot
Copy link
Contributor

Click to view CI Results
GitHub pull request #70 of commit 8b87b1f93d0a1110ea510199487956c5b3554287, no merge conflicts.
Running as SYSTEM
Setting status of 8b87b1f93d0a1110ea510199487956c5b3554287 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_dataloader/115/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_dataloader
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/dataloader # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/dataloader
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/dataloader +refs/pull/70/*:refs/remotes/origin/pr/70/* # timeout=10
 > git rev-parse 8b87b1f93d0a1110ea510199487956c5b3554287^{commit} # timeout=10
Checking out Revision 8b87b1f93d0a1110ea510199487956c5b3554287 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 8b87b1f93d0a1110ea510199487956c5b3554287 # timeout=10
Commit message: "Merge branch 'main' into update-gitignore"
 > git rev-list --no-walk 4fe997b8887741fab9b051c11b77cc611c7ade7d # timeout=10
[merlin_dataloader] $ /bin/bash /tmp/jenkins6109745284839567032.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_dataloader/dataloader/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu
test-gpu installdeps: -rrequirements/dev.txt, 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_dataloader/dataloader/.tox/.tmp/package/1/merlin-dataloader-0.0.2+20.g8b87b1f.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==1.27.17,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==1.29.17,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,cpplint==1.6.1,cryptography==38.0.4,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-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2+20.g8b87b1f,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,moto==4.0.10,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,nbsphinx==0.8.10,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,npy-append-array==0.9.13,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==3.0.3,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,responses==0.22.0,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-markdown-tables==0.0.15,sphinx-multiversion==0.2.4,sphinx-rtd-theme==1.1.1,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@8d23fdd32ee0b2f2d2ee091ac8eb8c1e88271dd4,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,types-toml==0.10.8.1,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,xmltodict==0.13.0,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='750909365'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-o27vcl4b
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-o27vcl4b
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: jinja2 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.0.3)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: tornado>=6.0.3 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=1d473fb18348b4940789f2e2529dd777cddaf0112c43b0ba3feb783f7416b199
  Stored in directory: /tmp/pip-ephem-wheel-cache-ycxm7fjm/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.9.0
    Uninstalling merlin-core-0.9.0:
      Successfully uninstalled merlin-core-0.9.0
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[1] | 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-pco8gvlg
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/nvtabular.git /tmp/pip-req-build-pco8gvlg
  Resolved https://github.com/NVIDIA-Merlin/nvtabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  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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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->nvtabular==1.6.0+11.gee3b7440) (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->nvtabular==1.6.0+11.gee3b7440) (6.0.1)
Building wheels for collected packages: nvtabular
  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+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=0722b8491686d4a09c6ad3224a436d6e4d7f1ca8259a177e4400511c2aaf413c
  Stored in directory: /tmp/pip-ephem-wheel-cache-ngyakzpe/wheels/8f/d9/f9/30f2cdc5bf8787fae6fdfe55afd6e1b493e619ec32c32ec40b
Successfully built nvtabular
Installing collected packages: 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_dataloader/dataloader/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[2] | 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_dataloader/dataloader, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 93 items / 1 skipped

tests/unit/dataloader/test_dataloader_backend.py ....                    [  4%]

tests/unit/dataloader/test_tf_dataloader.py ............................ [ 34%]

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

tests/unit/dataloader/test_tf_embeddings.py ............                 [ 60%]

tests/unit/dataloader/test_torch_dataloader.py ......................... [ 87%]

[ 87%]

tests/unit/dataloader/test_torch_embeddings.py ............              [100%]


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

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

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

DASK_VERSION = LooseVersion(dask.version)


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

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

other = LooseVersion(other)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_seeding[128]

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

A value is trying to be set on a copy of a slice from a DataFrame


See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_empty_error[128]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/loader_base.py:84: UserWarning: no schema associated with the input dataset. Calling dataset.infer_schema to automatically generate

warnings.warn(


tests/unit/dataloader/test_tf_dataloader.py: 7 warnings

tests/unit/dataloader/test_torch_dataloader.py: 11 warnings

/var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:256: UserWarning: Initializing an NVTabular Dataset in CPU mode.This is an experimental feature with extremely limited support!

warnings.warn(


tests/unit/dataloader/test_torch_embeddings.py::test_embedding_torch_dl_with_lookup[None]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/ops/embeddings/torch_embedding_op.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return torch.Tensor(values).to(torch.int32)


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


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

Name                                                     Stmts   Miss  Cover


merlin/dataloader/init.py                                2      0   100%

merlin/dataloader/_version.py                              354    205    42%

merlin/dataloader/jax.py                                    51     51     0%

merlin/dataloader/loader_base.py                           418     31    93%

merlin/dataloader/ops/init.py                            0      0   100%

merlin/dataloader/ops/embeddings/init.py                 0      0   100%

merlin/dataloader/ops/embeddings/embedding_op.py            62      6    90%

merlin/dataloader/ops/embeddings/tf_embedding_op.py         19      0   100%

merlin/dataloader/ops/embeddings/torch_embedding_op.py      20      0   100%

merlin/dataloader/tensorflow.py                            112     20    82%

merlin/dataloader/tf_utils.py                               57     27    53%

merlin/dataloader/torch.py                                  66      8    88%

merlin/loader/init.py                                    4      4     0%

merlin/loader/jax.py                                         1      1     0%

merlin/loader/tensorflow.py                                  1      1     0%

merlin/loader/torch.py                                       1      1     0%


TOTAL                                                     1168    355    70%


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

SKIPPED [1] tests/unit/dataloader/test_jax_dataloader.py:24: could not import 'jax': No module named 'jax'

SKIPPED [1] tests/unit/dataloader/test_tf_dataloader.py:476: not working correctly in ci environment

============ 92 passed, 2 skipped, 56 warnings in 165.31s (0:02:45) ============

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_dataloader] $ /bin/bash /tmp/jenkins2488381602920226403.sh

@nvidia-merlin-bot
Copy link
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Click to view CI Results
GitHub pull request #70 of commit 8b87b1f93d0a1110ea510199487956c5b3554287, no merge conflicts.
Running as SYSTEM
Setting status of 8b87b1f93d0a1110ea510199487956c5b3554287 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_dataloader/117/ and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_dataloader
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/dataloader # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/dataloader
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/dataloader +refs/pull/70/*:refs/remotes/origin/pr/70/* # timeout=10
 > git rev-parse 8b87b1f93d0a1110ea510199487956c5b3554287^{commit} # timeout=10
Checking out Revision 8b87b1f93d0a1110ea510199487956c5b3554287 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 8b87b1f93d0a1110ea510199487956c5b3554287 # timeout=10
Commit message: "Merge branch 'main' into update-gitignore"
 > git rev-list --no-walk 7452daa3bdd288f61fa801daf8030fc21ae5810f # timeout=10
[merlin_dataloader] $ /bin/bash /tmp/jenkins13698769162037225597.sh
GLOB sdist-make: /var/jenkins_home/workspace/merlin_dataloader/dataloader/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu
test-gpu installdeps: -rrequirements/dev.txt, 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_dataloader/dataloader/.tox/.tmp/package/1/merlin-dataloader-0.0.2+20.g8b87b1f.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==1.27.17,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==1.29.17,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,cpplint==1.6.1,cryptography==38.0.4,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-core==0.6.0+1.g5926fcf,merlin-dataloader==0.0.2+20.g8b87b1f,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.5.0+4.g15074ad,mistune==2.0.4,mmh3==3.0.0,moto==4.0.10,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,nbsphinx==0.8.10,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,npy-append-array==0.9.13,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==3.0.3,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,responses==0.22.0,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-markdown-tables==0.0.15,sphinx-multiversion==0.2.4,sphinx-rtd-theme==1.1.1,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@8d23fdd32ee0b2f2d2ee091ac8eb8c1e88271dd4,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,types-toml==0.10.8.1,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,xmltodict==0.13.0,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='3581020742'
test-gpu run-test: commands[0] | python -m pip install --upgrade git+https://github.com/NVIDIA-Merlin/core.git
Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com
Collecting git+https://github.com/NVIDIA-Merlin/core.git
  Cloning https://github.com/NVIDIA-Merlin/core.git to /tmp/pip-req-build-f355akz2
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-f355akz2
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  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: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: jinja2 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.0.3)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: tornado>=6.0.3 in ./.tox/test-gpu/lib/python3.8/site-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (6.2)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=63311338c58b9da6affbf7372fbea973eaf158b0e41e9bf01ffa997b98d29cfc
  Stored in directory: /tmp/pip-ephem-wheel-cache-s7vlptt5/wheels/c8/38/16/a6968787eafcec5fa772148af8408b089562f71af0752e8e84
Successfully built merlin-core
Installing collected packages: merlin-core
  Attempting uninstall: merlin-core
    Found existing installation: merlin-core 0.9.0
    Uninstalling merlin-core-0.9.0:
      Successfully uninstalled merlin-core-0.9.0
Successfully installed merlin-core-0.9.0+13.g78f1f0b
test-gpu run-test: commands[1] | 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-i_b4yowl
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/nvtabular.git /tmp/pip-req-build-i_b4yowl
  Resolved https://github.com/NVIDIA-Merlin/nvtabular.git to commit ee3b7440eb22fad71ad50a6df978e1fa526f4817
  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+11.gee3b7440) (1.8.1)
Requirement already satisfied: merlin-dataloader>=0.0.2 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.0.2+20.g8b87b1f)
Requirement already satisfied: merlin-core>=0.2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from nvtabular==1.6.0+11.gee3b7440) (0.9.0+13.g78f1f0b)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->nvtabular==1.6.0+11.gee3b7440) (4.64.1)
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+11.gee3b7440) (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+11.gee3b7440) (7.0.0)
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Building wheels for collected packages: nvtabular
  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+11.gee3b7440-cp38-cp38-linux_x86_64.whl size=257603 sha256=d5a3a041dcadd58d4daea2fd3b0ac917d4f5f69d0da0aa76c0845c88e42aaea5
  Stored in directory: /tmp/pip-ephem-wheel-cache-auhtucjp/wheels/8f/d9/f9/30f2cdc5bf8787fae6fdfe55afd6e1b493e619ec32c32ec40b
Successfully built nvtabular
Installing collected packages: 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_dataloader/dataloader/.tox/test-gpu
    Can't uninstall 'nvtabular'. No files were found to uninstall.
Successfully installed nvtabular-1.6.0+11.gee3b7440
test-gpu run-test: commands[2] | 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_dataloader/dataloader, configfile: pyproject.toml
plugins: anyio-3.5.0, xdist-3.0.2, cov-4.0.0
collected 93 items / 1 skipped

tests/unit/dataloader/test_dataloader_backend.py ....                    [  4%]

tests/unit/dataloader/test_tf_dataloader.py ............................ [ 34%]

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

tests/unit/dataloader/test_tf_embeddings.py ............                 [ 60%]

tests/unit/dataloader/test_torch_dataloader.py ......................... [ 87%]

[ 87%]

tests/unit/dataloader/test_torch_embeddings.py ............              [100%]


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

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

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

DASK_VERSION = LooseVersion(dask.version)


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

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

other = LooseVersion(other)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_seeding[128]

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

A value is trying to be set on a copy of a slice from a DataFrame


See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

self._setitem_single_block(indexer, value, name)


tests/unit/dataloader/test_dataloader_backend.py::test_dataloader_empty_error[128]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/loader_base.py:84: UserWarning: no schema associated with the input dataset. Calling dataset.infer_schema to automatically generate

warnings.warn(


tests/unit/dataloader/test_tf_dataloader.py: 7 warnings

tests/unit/dataloader/test_torch_dataloader.py: 11 warnings

/var/jenkins_home/workspace/merlin_dataloader/dataloader/.tox/test-gpu/lib/python3.8/site-packages/merlin/io/dataset.py:256: UserWarning: Initializing an NVTabular Dataset in CPU mode.This is an experimental feature with extremely limited support!

warnings.warn(


tests/unit/dataloader/test_torch_embeddings.py::test_embedding_torch_dl_with_lookup[None]

/var/jenkins_home/workspace/merlin_dataloader/dataloader/merlin/dataloader/ops/embeddings/torch_embedding_op.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  ../torch/csrc/utils/tensor_new.cpp:201.)

return torch.Tensor(values).to(torch.int32)


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


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

Name                                                     Stmts   Miss  Cover


merlin/dataloader/init.py                                2      0   100%

merlin/dataloader/_version.py                              354    205    42%

merlin/dataloader/jax.py                                    51     51     0%

merlin/dataloader/loader_base.py                           418     31    93%

merlin/dataloader/ops/init.py                            0      0   100%

merlin/dataloader/ops/embeddings/init.py                 0      0   100%

merlin/dataloader/ops/embeddings/embedding_op.py            62      6    90%

merlin/dataloader/ops/embeddings/tf_embedding_op.py         19      0   100%

merlin/dataloader/ops/embeddings/torch_embedding_op.py      20      0   100%

merlin/dataloader/tensorflow.py                            112     20    82%

merlin/dataloader/tf_utils.py                               57     27    53%

merlin/dataloader/torch.py                                  66      8    88%

merlin/loader/init.py                                    4      4     0%

merlin/loader/jax.py                                         1      1     0%

merlin/loader/tensorflow.py                                  1      1     0%

merlin/loader/torch.py                                       1      1     0%


TOTAL                                                     1168    355    70%


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

SKIPPED [1] tests/unit/dataloader/test_jax_dataloader.py:24: could not import 'jax': No module named 'jax'

SKIPPED [1] tests/unit/dataloader/test_tf_dataloader.py:476: not working correctly in ci environment

============ 92 passed, 2 skipped, 56 warnings in 173.93s (0:02:53) ============

___________________________________ summary ____________________________________

test-gpu: commands succeeded

congratulations :)

Performing Post build task...

Match found for : : True

Logical operation result is TRUE

Running script  : #!/bin/bash

cd /var/jenkins_home/

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

[merlin_dataloader] $ /bin/bash /tmp/jenkins11397236483849129873.sh

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@jperez999 jperez999 jperez999 approved these changes

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@benfred @nvidia-merlin-bot @jperez999 @albert17