Update Pytorch integration test based on schema changes in T4R #220

oliverholworthy · 2022-10-28T14:05:36Z

Update Pytorch integration test based on schema changes in T4R with input and output schema in NVIDIA-Merlin/Transformers4Rec#507

tests/integration/t4r/test_pytorch_backend.py

github-actions · 2022-10-28T14:14:44Z

Documentation preview

https://nvidia-merlin.github.io/systems/review/pr-220

nvidia-merlin-bot · 2022-11-01T15:56:34Z

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GitHub pull request #220 of commit 93597a182d27dc1159ba751fbb997615510edb0b, no merge conflicts.
Running as SYSTEM
Setting status of 93597a182d27dc1159ba751fbb997615510edb0b to PENDING with url https://10.20.13.93:8080/job/merlin_systems/478/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_systems
using credential fce1c729-5d7c-48e8-90cb-b0c314b1076e
 > 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/systems # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/systems
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems user + githubtoken
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/systems +refs/pull/220/*:refs/remotes/origin/pr/220/* # timeout=10
 > git rev-parse 93597a182d27dc1159ba751fbb997615510edb0b^{commit} # timeout=10
Checking out Revision 93597a182d27dc1159ba751fbb997615510edb0b (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 93597a182d27dc1159ba751fbb997615510edb0b # timeout=10
Commit message: "Remove shape coercion in pytorch test"
 > git rev-list --no-walk aece1f6dfbc804f4f5596077f6ad6203f539ce2b # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins8739016504801288020.sh
PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib:/var/jenkins_home/workspace/merlin_systems/systems
GLOB sdist-make: /var/jenkins_home/workspace/merlin_systems/systems/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_systems/systems/.tox/.tmp/package/1/merlin-systems-0.7.0+11.g93597a1.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==1.26.5,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.28.5,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==4.0.0,cloudpickle==2.2.0,cmaes==0.8.2,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+11.g93597a1,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,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,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.42,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.0,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3123448024'
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-t6_4vhz5
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-t6_4vhz5
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit eda153c663aa864da66927c7a0a9d4e64c073120
  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==0.8.0+4.geda153c) (4.64.1)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+4.geda153c) (1.2.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+4.geda153c) (1.10.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+4.geda153c) (2022.3.0)
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Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+4.geda153c) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+4.geda153c) (21.3)
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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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (1.2.0)
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==0.8.0+4.geda153c) (2.4.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+4.geda153c) (8.1.3)
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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==0.8.0+4.geda153c) (5.8.0)
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==0.8.0+4.geda153c) (1.7.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+4.geda153c) (1.0.4)
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Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+4.geda153c) (6.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+4.geda153c) (65.4.1)
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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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (1.0.1)
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Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+4.geda153c) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+4.geda153c) (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==0.8.0+4.geda153c) (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-0.8.0+4.geda153c-py3-none-any.whl size=118258 sha256=6e1831868b5080df3658ca3676d209170338a4096f859fa923ec6ea4f6656a53
  Stored in directory: /tmp/pip-ephem-wheel-cache-mmwxp7un/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_systems/systems/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+4.geda153c
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[1] | python -m pip install .

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com

Processing /var/jenkins_home/workspace/merlin_systems/systems

Installing build dependencies: started

Installing build dependencies: finished with status 'done'

Getting requirements to build wheel: started

Getting requirements to build wheel: finished with status 'done'

Preparing metadata (pyproject.toml): started

Preparing metadata (pyproject.toml): finished with status 'done'

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Building wheels for collected packages: merlin-systems

Building wheel for merlin-systems (pyproject.toml): started

Building wheel for merlin-systems (pyproject.toml): finished with status 'done'

Created wheel for merlin-systems: filename=merlin_systems-0.7.0+11.g93597a1-py3-none-any.whl size=94936 sha256=7caaff080aa494ab90c2cdb8fb8c1b326c6029f3caeedca2206f5ae6099005ad

Stored in directory: /tmp/pip-ephem-wheel-cache-di28s052/wheels/20/f3/c7/f7c2f6c257e882a60cdd173901b8757359446cf94a453e0811

Successfully built merlin-systems

Installing collected packages: merlin-systems

Attempting uninstall: merlin-systems

Found existing installation: merlin-systems 0.7.0+11.g93597a1

Uninstalling merlin-systems-0.7.0+11.g93597a1:

Successfully uninstalled merlin-systems-0.7.0+11.g93597a1

Successfully installed merlin-systems-0.7.0+11.g93597a1
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[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_systems/systems, configfile: pytest.ini

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

collected 92 items
tests/unit/test_export.py . tests/unit/examples/test_serving_an_implicit_m . tests/unit/examples/test_serving_an_xgboost_mo [  4%]
 tests/unit/examples/test_serving_ranking_model [  5%]
 tests/unit/systems/dag/test_ensemble.py . tests/unit/systems/dag/test_executors.py ... tests/unit/systems/dag/test_graph.py .. tests/unit/systems/dag/test_model_registry.py .. tests/unit/systems/dag/test_op_runner.py .... tests/unit/systems/dag/ops/test_ops.py .. tests/unit/systems/dag/runtimes/test_triton.py ..... tests/unit/systems/ops/faiss/test_executor.py . tests/unit/systems/ops/feast/test_op.py ....... tests/unit/systems/ops/fil/test_ensemble.py . tests/unit/systems/ops/fil/test_forest.py .... tests/unit/systems/ops/fil/test_op.py tests/unit/systems/ops/implicit/test_executor.py ... tests/unit/systems/ops/implicit/test_op.py ......... tests/unit/systems/ops/nvtabular/test_ensemble.py . tests/unit/systems/ops/nvtabular/test_op.py .. tests/unit/systems/ops/tf/test_ensemble.py .... tests/unit/systems/ops/tf/test_op.py .... tests/unit/systems/ops/torch/test_op.py ......

[  1%]
 odel_with_merlin_systems.py . [  2%]
 [  3%]
 del_with_merlin_systems.py . [  4%]
 s_with_merlin_systems.py . [  5%]
 [  6%]
 [  9%]
 [ 11%]
 [ 14%]
 [ 18%]
 [ 20%]
 [ 26%]
 [ 27%]
 [ 34%]
 [ 35%]
 [ 40%]
 ..........................         [ 68%]
 [ 71%]
 [ 81%]
 [ 82%]
 [ 84%]
 [ 89%]
 [ 93%]
 [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: 35 warnings

/var/jenkins_home/workspace/merlin_systems/systems/.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)
../../../.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18

/var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18: DeprecationWarning: The nvtabular.framework_utils module is being replaced by the Merlin Models library. Support for importing from nvtabular.framework_utils is deprecated, and will be removed in a future version. Please consider using the models and layers from Merlin Models instead.

warnings.warn(
../../../../../usr/local/lib/python3.8/dist-packages/faiss/loader.py:28

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column x is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column y is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column id is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[1]

tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[2]

/usr/local/lib/python3.8/dist-packages/feast/feature_view.py:100: DeprecationWarning: The argument 'input' is being deprecated. Please use 'batch_source' instead. Feast 0.13 and onwards will not support the argument 'input'.

warnings.warn(
tests/unit/systems/ops/fil/test_forest.py::test_export_merlin_models

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_default[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_with_proba[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_multi_classifier[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_regressor[sklearn_forest_regressor-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_model_file[sklearn_forest_regressor-checkpoint.tl]

/usr/local/lib/python3.8/dist-packages/sklearn/utils/deprecation.py:103: FutureWarning: Attribute n_features_ was deprecated in version 1.0 and will be removed in 1.2. Use n_features_in_ instead.

warnings.warn(msg, category=FutureWarning)
tests/unit/systems/ops/implicit/test_op.py::test_reload_from_config[AlternatingLeastSquares]

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(
tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving[True-True]

tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving_python[True-True]

/usr/local/lib/python3.8/dist-packages/torch/serialization.py:707: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)

warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"
-- 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/systems/init.py                        6      0   100%

merlin/systems/_version.py                      354    205    42%

merlin/systems/dag/init.py                    3      0   100%

merlin/systems/dag/ensemble.py                   46      3    93%

merlin/systems/dag/node.py                       23      1    96%

merlin/systems/dag/op_runner.py                  26      1    96%

merlin/systems/dag/ops/init.py                9      0   100%

merlin/systems/dag/ops/compat.py                 24      8    67%

merlin/systems/dag/ops/faiss.py                  77     23    70%

merlin/systems/dag/ops/feast.py                 126      7    94%

merlin/systems/dag/ops/fil.py                   223     34    85%

merlin/systems/dag/ops/implicit.py               72     13    82%

merlin/systems/dag/ops/operator.py               76      5    93%

merlin/systems/dag/ops/pytorch.py                89     12    87%

merlin/systems/dag/ops/session_filter.py         45      7    84%

merlin/systems/dag/ops/softmax_sampling.py       51     17    67%

merlin/systems/dag/ops/tensorflow.py            112     16    86%

merlin/systems/dag/ops/unroll_features.py        50     50     0%

merlin/systems/dag/ops/workflow.py               72     26    64%

merlin/systems/dag/runtimes/init.py           1      0   100%

merlin/systems/dag/runtimes/base_runtime.py      10      2    80%

merlin/systems/dag/runtimes/triton.py           116      7    94%

merlin/systems/model_registry.py                 16      1    94%

merlin/systems/triton/init.py                47     17    64%

merlin/systems/triton/conversions.py             87     73    16%

merlin/systems/triton/export.py                 266    155    42%

merlin/systems/triton/utils.py                   72     14    81%

merlin/systems/workflow/init.py              22      5    77%

merlin/systems/workflow/base.py                 113    113     0%

merlin/systems/workflow/hugectr.py               37     37     0%

merlin/systems/workflow/pytorch.py               10     10     0%

merlin/systems/workflow/tensorflow.py            32     32     0%
TOTAL                                          2313    894    61%
================= 92 passed, 56 warnings in 892.44s (0:14:52) ==================

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

[merlin_systems] $ /bin/bash /tmp/jenkins6919023116629998572.sh

nvidia-merlin-bot · 2022-11-01T19:40:40Z

Click to view CI Results

GitHub pull request #220 of commit 7bce88dafe9456d1479c7a6acb6623641a15f73a, has merge conflicts.
Running as SYSTEM
Setting status of 7bce88dafe9456d1479c7a6acb6623641a15f73a to PENDING with url https://10.20.13.93:8080/job/merlin_systems/481/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_systems
using credential fce1c729-5d7c-48e8-90cb-b0c314b1076e
 > 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/systems # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/systems
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems user + githubtoken
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/systems +refs/pull/220/*:refs/remotes/origin/pr/220/* # timeout=10
 > git rev-parse 7bce88dafe9456d1479c7a6acb6623641a15f73a^{commit} # timeout=10
Checking out Revision 7bce88dafe9456d1479c7a6acb6623641a15f73a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 7bce88dafe9456d1479c7a6acb6623641a15f73a # timeout=10
Commit message: "Replace use of `shape` for pytorch hack with `triton_scalar_shape`"
 > git rev-list --no-walk 662a1ea64c43262803d3aaebad6206b8e110458f # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins14117891879848376680.sh
PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib:/var/jenkins_home/workspace/merlin_systems/systems
GLOB sdist-make: /var/jenkins_home/workspace/merlin_systems/systems/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_systems/systems/.tox/.tmp/package/1/merlin-systems-0.7.0+16.g7bce88d.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==1.26.5,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.28.5,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==4.0.0,cloudpickle==2.2.0,cmaes==0.8.2,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+16.g7bce88d,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,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,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.42,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.0,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1653787379'
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-r1emof_y
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-r1emof_y
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 563be4bf5ef675940d5fff2b5e4666424a7f7947
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (1.3.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (1.10.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (21.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (3.19.5)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.5.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (4.64.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (1.2.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (2.2.0)
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==0.8.0+5.g563be4b) (2.4.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (3.1.2)
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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (6.1)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (1.0.4)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+5.g563be4b) (65.4.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (2022.2.1)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (2.1.1)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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-0.8.0+5.g563be4b-py3-none-any.whl size=118363 sha256=9379ac21272ab65707c7de187f210f5cc5f8abd23c2a1b831edb138195aaca64
  Stored in directory: /tmp/pip-ephem-wheel-cache-21tvk9rm/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_systems/systems/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+5.g563be4b
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[1] | python -m pip install .

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com

Processing /var/jenkins_home/workspace/merlin_systems/systems

Installing build dependencies: started

Installing build dependencies: finished with status 'done'

Getting requirements to build wheel: started

Getting requirements to build wheel: finished with status 'done'

Preparing metadata (pyproject.toml): started

Preparing metadata (pyproject.toml): finished with status 'done'

Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+16.g7bce88d) (1.1.1)

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Building wheels for collected packages: merlin-systems

Building wheel for merlin-systems (pyproject.toml): started

Building wheel for merlin-systems (pyproject.toml): finished with status 'done'

Created wheel for merlin-systems: filename=merlin_systems-0.7.0+16.g7bce88d-py3-none-any.whl size=94983 sha256=de6fef2e1c970dcc6cbebf2b63082937e325c328eae3db8f0c30b3036a4ef744

Stored in directory: /tmp/pip-ephem-wheel-cache-ua1eej1u/wheels/20/f3/c7/f7c2f6c257e882a60cdd173901b8757359446cf94a453e0811

Successfully built merlin-systems

Installing collected packages: merlin-systems

Attempting uninstall: merlin-systems

Found existing installation: merlin-systems 0.7.0+16.g7bce88d

Uninstalling merlin-systems-0.7.0+16.g7bce88d:

Successfully uninstalled merlin-systems-0.7.0+16.g7bce88d

Successfully installed merlin-systems-0.7.0+16.g7bce88d
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[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_systems/systems, configfile: pytest.ini

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

collected 92 items
tests/unit/test_export.py .                                              [  1%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  2%]

.                                                                        [  3%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  4%]

[  4%]

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py . [  5%]

[  5%]

tests/unit/systems/dag/test_ensemble.py .                                [  6%]

tests/unit/systems/dag/test_executors.py ...                             [  9%]

tests/unit/systems/dag/test_graph.py ..                                  [ 11%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 14%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 18%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 20%]

tests/unit/systems/dag/runtimes/test_triton.py .....                     [ 26%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 27%]

tests/unit/systems/ops/feast/test_op.py .......                          [ 34%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 35%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 40%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 68%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 71%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 81%]

tests/unit/systems/ops/nvtabular/test_ensemble.py .                      [ 82%]

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 84%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 89%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 93%]

tests/unit/systems/ops/torch/test_op.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: 35 warnings

/var/jenkins_home/workspace/merlin_systems/systems/.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)
../../../.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18

/var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18: DeprecationWarning: The nvtabular.framework_utils module is being replaced by the Merlin Models library. Support for importing from nvtabular.framework_utils is deprecated, and will be removed in a future version. Please consider using the models and layers from Merlin Models instead.

warnings.warn(
../../../../../usr/local/lib/python3.8/dist-packages/faiss/loader.py:28

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column x is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column y is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column id is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[1]

tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[2]

/usr/local/lib/python3.8/dist-packages/feast/feature_view.py:100: DeprecationWarning: The argument 'input' is being deprecated. Please use 'batch_source' instead. Feast 0.13 and onwards will not support the argument 'input'.

warnings.warn(
tests/unit/systems/ops/fil/test_forest.py::test_export_merlin_models

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_default[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_with_proba[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_multi_classifier[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_regressor[sklearn_forest_regressor-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_model_file[sklearn_forest_regressor-checkpoint.tl]

/usr/local/lib/python3.8/dist-packages/sklearn/utils/deprecation.py:103: FutureWarning: Attribute n_features_ was deprecated in version 1.0 and will be removed in 1.2. Use n_features_in_ instead.

warnings.warn(msg, category=FutureWarning)
tests/unit/systems/ops/implicit/test_op.py::test_reload_from_config[AlternatingLeastSquares]

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(
tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving[True-True]

tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving_python[True-True]

/usr/local/lib/python3.8/dist-packages/torch/serialization.py:707: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)

warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"
-- 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/systems/init.py                        6      0   100%

merlin/systems/_version.py                      354    205    42%

merlin/systems/dag/init.py                    3      0   100%

merlin/systems/dag/ensemble.py                   46      3    93%

merlin/systems/dag/node.py                       23      1    96%

merlin/systems/dag/op_runner.py                  26      1    96%

merlin/systems/dag/ops/init.py               11      0   100%

merlin/systems/dag/ops/compat.py                 24      8    67%

merlin/systems/dag/ops/faiss.py                  77     23    70%

merlin/systems/dag/ops/feast.py                 126      7    94%

merlin/systems/dag/ops/fil.py                   223     34    85%

merlin/systems/dag/ops/implicit.py               72     13    82%

merlin/systems/dag/ops/operator.py               76      5    93%

merlin/systems/dag/ops/pytorch.py                89     12    87%

merlin/systems/dag/ops/session_filter.py         45      7    84%

merlin/systems/dag/ops/softmax_sampling.py       51     17    67%

merlin/systems/dag/ops/tensorflow.py            112     16    86%

merlin/systems/dag/ops/unroll_features.py        50     50     0%

merlin/systems/dag/ops/workflow.py               72     26    64%

merlin/systems/dag/runtimes/init.py           1      0   100%

merlin/systems/dag/runtimes/base_runtime.py      10      2    80%

merlin/systems/dag/runtimes/triton.py           116      7    94%

merlin/systems/model_registry.py                 16      1    94%

merlin/systems/triton/init.py                49     17    65%

merlin/systems/triton/conversions.py             87     73    16%

merlin/systems/triton/export.py                 266    155    42%

merlin/systems/triton/utils.py                   72     14    81%

merlin/systems/workflow/init.py              22      5    77%

merlin/systems/workflow/base.py                 113    113     0%

merlin/systems/workflow/hugectr.py               37     37     0%

merlin/systems/workflow/pytorch.py               10     10     0%

merlin/systems/workflow/tensorflow.py            32     32     0%
TOTAL                                          2317    894    61%
================= 92 passed, 56 warnings in 970.71s (0:16:10) ==================

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

[merlin_systems] $ /bin/bash /tmp/jenkins13200161911630875804.sh

nvidia-merlin-bot · 2022-11-02T15:12:24Z

Click to view CI Results

GitHub pull request #220 of commit c4e4cc843615f3b90a5d880e18ae541b53aa2740, has merge conflicts.
Running as SYSTEM
Setting status of c4e4cc843615f3b90a5d880e18ae541b53aa2740 to PENDING with url https://10.20.13.93:8080/job/merlin_systems/482/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_systems
using credential fce1c729-5d7c-48e8-90cb-b0c314b1076e
 > 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/systems # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/systems
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems user + githubtoken
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/systems +refs/pull/220/*:refs/remotes/origin/pr/220/* # timeout=10
 > git rev-parse c4e4cc843615f3b90a5d880e18ae541b53aa2740^{commit} # timeout=10
Checking out Revision c4e4cc843615f3b90a5d880e18ae541b53aa2740 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f c4e4cc843615f3b90a5d880e18ae541b53aa2740 # timeout=10
Commit message: "Remove `ServingAdapter` from pytorch integration test"
 > git rev-list --no-walk 7bce88dafe9456d1479c7a6acb6623641a15f73a # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins14967114147136739693.sh
PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib:/var/jenkins_home/workspace/merlin_systems/systems
GLOB sdist-make: /var/jenkins_home/workspace/merlin_systems/systems/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_systems/systems/.tox/.tmp/package/1/merlin-systems-0.7.0+19.gc4e4cc8.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==1.27.0,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==1.29.0,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==4.0.0,cloudpickle==2.2.0,cmaes==0.8.2,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+19.gc4e4cc8,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,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,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.42,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.0,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2002713795'
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-67do6n28
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-67do6n28
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 563be4bf5ef675940d5fff2b5e4666424a7f7947
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (1.10.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (3.19.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (7.0.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (21.3)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (4.64.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (1.2.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (1.3.5)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (1.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (0.12.0)
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==0.8.0+5.g563be4b) (5.4.1)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (3.1.2)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (1.0.4)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (2.4.0)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (6.1)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+5.g563be4b) (65.4.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (6.0.2)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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-0.8.0+5.g563be4b-py3-none-any.whl size=118363 sha256=4fc67fbff77779cfbc59372521716a88c4c57f71ba38f1e9c3f88759f13d6a61
  Stored in directory: /tmp/pip-ephem-wheel-cache-2arhl41j/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_systems/systems/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+5.g563be4b
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[1] | python -m pip install .

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com

Processing /var/jenkins_home/workspace/merlin_systems/systems

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 merlin-systems==0.7.0+19.gc4e4cc8) (0.8.0+5.g563be4b)

Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+19.gc4e4cc8) (2.22.0)

Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+19.gc4e4cc8) (1.1.1)

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Building wheels for collected packages: merlin-systems

Building wheel for merlin-systems (pyproject.toml): started

Building wheel for merlin-systems (pyproject.toml): finished with status 'done'

Created wheel for merlin-systems: filename=merlin_systems-0.7.0+19.gc4e4cc8-py3-none-any.whl size=94924 sha256=62f088ec34e1cd91c22abcd97d3ba56adf9c1686a77e42bae66ee5fb408d4a43

Stored in directory: /tmp/pip-ephem-wheel-cache-vxabioq8/wheels/20/f3/c7/f7c2f6c257e882a60cdd173901b8757359446cf94a453e0811

Successfully built merlin-systems

Installing collected packages: merlin-systems

Attempting uninstall: merlin-systems

Found existing installation: merlin-systems 0.7.0+19.gc4e4cc8

Uninstalling merlin-systems-0.7.0+19.gc4e4cc8:

Successfully uninstalled merlin-systems-0.7.0+19.gc4e4cc8

Successfully installed merlin-systems-0.7.0+19.gc4e4cc8
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[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_systems/systems, configfile: pytest.ini

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

collected 92 items
tests/unit/test_export.py .                                              [  1%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  2%]

.                                                                        [  3%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  4%]

[  4%]

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py . [  5%]

[  5%]

tests/unit/systems/dag/test_ensemble.py .                                [  6%]

tests/unit/systems/dag/test_executors.py ...                             [  9%]

tests/unit/systems/dag/test_graph.py ..                                  [ 11%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 14%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 18%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 20%]

tests/unit/systems/dag/runtimes/test_triton.py .....                     [ 26%]

tests/unit/systems/ops/faiss/test_executor.py F                          [ 27%]

tests/unit/systems/ops/feast/test_op.py .......                          [ 34%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 35%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 40%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 68%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 71%]

tests/unit/systems/ops/implicit/test_op.py .....FF..                     [ 81%]

tests/unit/systems/ops/nvtabular/test_ensemble.py .                      [ 82%]

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 84%]

tests/unit/systems/ops/tf/test_ensemble.py F...                          [ 89%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 93%]

tests/unit/systems/ops/torch/test_op.py ......                           [100%]
=================================== FAILURES ===================================

_____________________ test_faiss_in_triton_executor_model ______________________
tmpdir = local('/tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0')
@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
def test_faiss_in_triton_executor_model(tmpdir):
    # Simulate a user vector with a TF model
    model = tf.keras.models.Sequential(
        [
            tf.keras.Input(name="user_id", dtype=tf.int32, shape=(1,)),
            tf.keras.layers.Dense(128, activation="relu", name="output"),
        ]
    )

    model.compile(
        optimizer="adam",
        loss=tf.losses.SparseCategoricalCrossentropy(from_logits=True),
        metrics=[tf.metrics.SparseCategoricalAccuracy()],
    )

    faiss_path = tmpdir / "faiss.index"
    item_ids = np.arange(0, 100).reshape(-1, 1)
    item_embeddings = np.ascontiguousarray(np.random.rand(100, 128))
    setup_faiss(np.concatenate((item_ids, item_embeddings), axis=1), faiss_path)

    request_schema = Schema(
        [
            ColumnSchema("user_id", dtype=np.int32),
        ]
    )

    request_features = {
        "user_id": np.array([1]),
    }
    request_data = DictArray(request_features)

    filtering = ["user_id"] >> PredictTensorflow(model) >> QueryFaiss(faiss_path)

    ensemble = Ensemble(filtering, request_schema)
    ensemble_config, _ = ensemble.export(tmpdir, runtime=TritonExecutorRuntime())


  response = run_ensemble_on_tritonserver(


        tmpdir,
        ensemble.input_schema,
        make_df(request_data.arrays),
        ensemble.output_schema.column_names,
        ensemble_config.name,
    )

tests/unit/systems/ops/faiss/test_executor.py:81:

merlin/systems/triton/utils.py:138: in run_ensemble_on_tritonserver

with run_triton_server(tmpdir) as client:

/usr/lib/python3.8/contextlib.py:113: in enter

return next(self.gen)

model_repository = local('/tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0')
@contextlib.contextmanager
def run_triton_server(
    model_repository: str,
    *,
    grpc_host: str = "localhost",
    grpc_port: int = 8001,
    backend_config: str = "tensorflow,version=2",
):
    """This function starts up a Triton server instance and returns a client to it.

    Parameters
    ----------
    model_repository : string
        The path to the model repository directory.
    grpc_host : string
        The host address for the triton gRPC server to bind to.
        Default is localhost.
    grpc_port : int
        The port for the triton gRPC server to listen on for requests.
        Default is 8001.
    backend_config : string
        A backend-specific configuration.
        Following the pattern <backend_name>,<setting>=<value>.
        Where <backend_name> is the name of the backend, such as 'tensorflow'

    Yields
    ------
    client: tritonclient.InferenceServerClient
        The client connected to the Triton server.

    """
    if grpc_port == 0 or grpc_port is None:
        grpc_port = _get_random_free_port()
    grpc_url = f"{grpc_host}:{grpc_port}"

    try:
        with grpcclient.InferenceServerClient(grpc_url) as client:
            if client.is_server_ready():
                raise RuntimeError(f"Another tritonserver is already running on {grpc_url}")
    except tritonclient.utils.InferenceServerException:
        pass

    cmdline = [
        TRITON_SERVER_PATH,
        "--model-repository",
        model_repository,
        f"--backend-config={backend_config}",
        f"--grpc-port={grpc_port}",
        f"--grpc-address={grpc_host}",
    ]
    env = os.environ.copy()
    env["CUDA_VISIBLE_DEVICES"] = "0"
    with subprocess.Popen(cmdline, env=env) as process:
        try:
            with grpcclient.InferenceServerClient(grpc_url) as client:
                # wait until server is ready
                time_ranges = [60, 120, 300]
                for seconds in time_ranges:
                    for _ in range(seconds):
                        if process.poll() is not None:
                            retcode = process.returncode


                          raise RuntimeError(f"Tritonserver failed to start (ret={retcode})")


E                               RuntimeError: Tritonserver failed to start (ret=1)
merlin/systems/triton/utils.py:81: RuntimeError

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

WARNING clustering 100 points to 32 centroids: please provide at least 1248 training points

I1102 15:04:00.459934 24001 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7fcf86000000' with size 268435456

I1102 15:04:00.460717 24001 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1102 15:04:00.464788 24001 model_lifecycle.cc:459] loading: 0_predicttensorflow:1

I1102 15:04:00.464829 24001 model_lifecycle.cc:459] loading: executor_model:1

I1102 15:04:00.738780 24001 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1102 15:04:00.738818 24001 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1102 15:04:00.738825 24001 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1102 15:04:00.738831 24001 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1102 15:04:00.738872 24001 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 0_predicttensorflow (version 1)

2022-11-02 15:04:00.739421: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0/0_predicttensorflow/1/model.savedmodel

2022-11-02 15:04:00.740268: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-02 15:04:00.740295: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0/0_predicttensorflow/1/model.savedmodel

2022-11-02 15:04:00.740390: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

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

2022-11-02 15:04:01.145970: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 4215 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-02 15:04:01.174702: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-11-02 15:04:01.175313: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-02 15:04:01.196049: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0/0_predicttensorflow/1/model.savedmodel

2022-11-02 15:04:01.203218: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 463809 microseconds.

I1102 15:04:01.209169 24001 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 0_predicttensorflow (GPU device 0)

2022-11-02 15:04:01.209656: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0/0_predicttensorflow/1/model.savedmodel

2022-11-02 15:04:01.210325: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-02 15:04:01.210346: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0/0_predicttensorflow/1/model.savedmodel

2022-11-02 15:04:01.212241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 4215 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-02 15:04:01.213672: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-02 15:04:01.235203: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0/0_predicttensorflow/1/model.savedmodel

2022-11-02 15:04:01.242457: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 32803 microseconds.

I1102 15:04:01.243338 24001 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1102 15:04:01.243677 24001 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

E1102 15:04:01.243697 24001 model_lifecycle.cc:596] failed to load '0_predicttensorflow' version 1: Invalid argument: model '0_predicttensorflow', tensor 'output': the model expects 2 dimensions (shape [-1,128]) but the model configuration specifies 2 dimensions (shape [-1,-1])

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:04:09.062669 24001 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

I1102 15:04:15.289786 24001 model_lifecycle.cc:693] successfully loaded 'executor_model' version 1

I1102 15:04:15.290001 24001 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+
I1102 15:04:15.290063 24001 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:04:15.290105 24001 server.cc:631]

+---------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model               | Version | Status                                                                                                                                                                                          |

+---------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| 0_predicttensorflow | 1       | UNAVAILABLE: Invalid argument: model '0_predicttensorflow', tensor 'output': the model expects 2 dimensions (shape [-1,128]) but the model configuration specifies 2 dimensions (shape [-1,-1]) |

| executor_model      | 1       | READY                                                                                                                                                                                           |

+---------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:04:15.350035 24001 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1102 15:04:15.350885 24001 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/pytest-of-jenkins/pytest-9/test_faiss_in_triton_executor_0                                                                                                                              |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 67108864                                                                                                                                                                                     |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:04:15.350922 24001 server.cc:262] Waiting for in-flight requests to complete.

I1102 15:04:15.350930 24001 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1102 15:04:15.350970 24001 server.cc:293] All models are stopped, unloading models

I1102 15:04:15.350978 24001 server.cc:300] Timeout 30: Found 1 live models and 0 in-flight non-inference requests

I1102 15:04:16.351065 24001 server.cc:300] Timeout 29: Found 1 live models and 0 in-flight non-inference requests

W1102 15:04:16.372573 24001 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:04:17.256075 24001 model_lifecycle.cc:578] successfully unloaded 'executor_model' version 1

I1102 15:04:17.351200 24001 server.cc:300] Timeout 28: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1102 15:04:17.372776 24001 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

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

WARNING  tensorflow:load.py:167 No training configuration found in save file, so the model was not compiled. Compile it manually.

_________________ test_ensemble[AlternatingLeastSquares-None] __________________
model_cls = <function AlternatingLeastSquares at 0x7fb074dbb820>, runtime = None

tmpdir = local('/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast0')
@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize("runtime", [None, TritonExecutorRuntime()])
@pytest.mark.parametrize(
    "model_cls",
    [
        implicit.bpr.BayesianPersonalizedRanking,
        implicit.als.AlternatingLeastSquares,
        implicit.lmf.LogisticMatrixFactorization,
    ],
)
def test_ensemble(model_cls, runtime, tmpdir):
    model = model_cls()
    n = 100
    user_items = csr_matrix(np.random.choice([0, 1], size=n * n, p=[0.9, 0.1]).reshape(n, n))
    model.fit(user_items)

    num_to_recommend = np.random.randint(1, n)

    user_items = None
    ids, scores = model.recommend(
        [0, 1], user_items, N=num_to_recommend, filter_already_liked_items=False
    )

    implicit_op = PredictImplicit(model, num_to_recommend=num_to_recommend)

    input_schema = Schema([ColumnSchema("user_id", dtype="int64")])

    triton_chain = input_schema.column_names >> implicit_op

    triton_ens = Ensemble(triton_chain, input_schema)
    ensemble_config, _ = triton_ens.export(tmpdir, runtime=runtime)

    input_user_id = np.array([[0], [1]], dtype=np.int64)
    inputs = [
        grpcclient.InferInput(
            "user_id", input_user_id.shape, triton.np_to_triton_dtype(input_user_id.dtype)
        ),
    ]
    inputs[0].set_data_from_numpy(input_user_id)
    outputs = [grpcclient.InferRequestedOutput("scores"), grpcclient.InferRequestedOutput("ids")]

    response = None


  with run_triton_server(tmpdir) as client:


tests/unit/systems/ops/implicit/test_op.py:121:

/usr/lib/python3.8/contextlib.py:113: in enter

return next(self.gen)

model_repository = local('/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast0')
@contextlib.contextmanager
def run_triton_server(
    model_repository: str,
    *,
    grpc_host: str = "localhost",
    grpc_port: int = 8001,
    backend_config: str = "tensorflow,version=2",
):
    """This function starts up a Triton server instance and returns a client to it.

    Parameters
    ----------
    model_repository : string
        The path to the model repository directory.
    grpc_host : string
        The host address for the triton gRPC server to bind to.
        Default is localhost.
    grpc_port : int
        The port for the triton gRPC server to listen on for requests.
        Default is 8001.
    backend_config : string
        A backend-specific configuration.
        Following the pattern <backend_name>,<setting>=<value>.
        Where <backend_name> is the name of the backend, such as 'tensorflow'

    Yields
    ------
    client: tritonclient.InferenceServerClient
        The client connected to the Triton server.

    """
    if grpc_port == 0 or grpc_port is None:
        grpc_port = _get_random_free_port()
    grpc_url = f"{grpc_host}:{grpc_port}"

    try:
        with grpcclient.InferenceServerClient(grpc_url) as client:
            if client.is_server_ready():
                raise RuntimeError(f"Another tritonserver is already running on {grpc_url}")
    except tritonclient.utils.InferenceServerException:
        pass

    cmdline = [
        TRITON_SERVER_PATH,
        "--model-repository",
        model_repository,
        f"--backend-config={backend_config}",
        f"--grpc-port={grpc_port}",
        f"--grpc-address={grpc_host}",
    ]
    env = os.environ.copy()
    env["CUDA_VISIBLE_DEVICES"] = "0"
    with subprocess.Popen(cmdline, env=env) as process:
        try:
            with grpcclient.InferenceServerClient(grpc_url) as client:
                # wait until server is ready
                time_ranges = [60, 120, 300]
                for seconds in time_ranges:
                    for _ in range(seconds):
                        if process.poll() is not None:
                            retcode = process.returncode


                          raise RuntimeError(f"Tritonserver failed to start (ret={retcode})")


E                               RuntimeError: Tritonserver failed to start (ret=1)
merlin/systems/triton/utils.py:81: RuntimeError

----------------------------- Captured stderr call -----------------------------
0%|          | 0/15 [00:00<?, ?it/s]

100%|██████████| 15/15 [00:00<00:00, 2163.50it/s]

I1102 15:07:27.232798 25591 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f1a56000000' with size 268435456

I1102 15:07:27.233602 25591 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1102 15:07:27.237047 25591 model_lifecycle.cc:459] loading: 0_predictimplicit:1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:07:35.063484 25591 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_predictimplicit (GPU device 0)

1102 15:07:41.575527 25670 pb_stub.cc:309] Failed to initialize Python stub: MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /project/_skbuild/linux-x86_64-3.8/cmake-build/_deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory
At:

_cuda.pyx(104): implicit.gpu._cuda.Matrix.cinit

/usr/local/lib/python3.8/dist-packages/implicit/cpu/als.py(441): to_gpu

/usr/local/lib/python3.8/dist-packages/implicit/gpu/matrix_factorization_base.py(212): load

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/implicit.py(154): from_config

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py(45): init

/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast0/0_predictimplicit/1/model.py(61): initialize
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(

E1102 15:07:42.597663 25591 model_lifecycle.cc:596] failed to load '0_predictimplicit' version 1: Internal: MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /project/_skbuild/linux-x86_64-3.8/cmake-build/_deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory
At:

_cuda.pyx(104): implicit.gpu._cuda.Matrix.cinit

/usr/local/lib/python3.8/dist-packages/implicit/cpu/als.py(441): to_gpu

/usr/local/lib/python3.8/dist-packages/implicit/gpu/matrix_factorization_base.py(212): load

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/implicit.py(154): from_config

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py(45): init

/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast0/0_predictimplicit/1/model.py(61): initialize
E1102 15:07:42.597853 25591 model_repository_manager.cc:481] Invalid argument: ensemble 'ensemble_model' depends on '0_predictimplicit' which has no loaded version

I1102 15:07:42.597956 25591 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+
I1102 15:07:42.598050 25591 server.cc:588]

+---------+-------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend | Path                                                  | Config                                                                                                                                                        |

+---------+-------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+

| python  | /opt/tritonserver/backends/python/libtriton_python.so | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}} |

+---------+-------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:07:42.598223 25591 server.cc:631]

+-------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model             | Version | Status                                                                                                                                                                                                                                    |

+-------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| 0_predictimplicit | 1       | UNAVAILABLE: Internal: MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /project/_skbuild/linux-x86_64-3.8/cmake-build/_deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory |

|                   |         |                                                                                                                                                                                                                                           |

|                   |         | At:                                                                                                                                                                                                                                       |

|                   |         |   _cuda.pyx(104): implicit.gpu._cuda.Matrix.cinit                                                                                                                                                                                     |

|                   |         |   /usr/local/lib/python3.8/dist-packages/implicit/cpu/als.py(441): to_gpu                                                                                                                                                                 |

|                   |         |   /usr/local/lib/python3.8/dist-packages/implicit/gpu/matrix_factorization_base.py(212): load                                                                                                                                             |

|                   |         |   /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/implicit.py(154): from_config                                                                                       |

|                   |         |   /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/op_runner.py(45): init                                                                                              |

|                   |         |   /tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast0/0_predictimplicit/1/model.py(61): initialize                                                                                                                            |

+-------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:07:42.662354 25591 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1102 15:07:42.663410 25591 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast0                                                                                                                              |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 67108864                                                                                                                                                                                     |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:07:42.663424 25591 server.cc:262] Waiting for in-flight requests to complete.

I1102 15:07:42.663431 25591 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1102 15:07:42.663449 25591 server.cc:293] All models are stopped, unloading models

I1102 15:07:42.663455 25591 server.cc:300] Timeout 30: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1102 15:07:43.680849 25591 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

_______________ test_ensemble[AlternatingLeastSquares-runtime1] ________________
model_cls = <function AlternatingLeastSquares at 0x7fb074dbb820>

runtime = <merlin.systems.dag.runtimes.triton.TritonExecutorRuntime object at 0x7fb04f8d1070>

tmpdir = local('/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast1')
@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize("runtime", [None, TritonExecutorRuntime()])
@pytest.mark.parametrize(
    "model_cls",
    [
        implicit.bpr.BayesianPersonalizedRanking,
        implicit.als.AlternatingLeastSquares,
        implicit.lmf.LogisticMatrixFactorization,
    ],
)
def test_ensemble(model_cls, runtime, tmpdir):
    model = model_cls()
    n = 100
    user_items = csr_matrix(np.random.choice([0, 1], size=n * n, p=[0.9, 0.1]).reshape(n, n))
    model.fit(user_items)

    num_to_recommend = np.random.randint(1, n)

    user_items = None
    ids, scores = model.recommend(
        [0, 1], user_items, N=num_to_recommend, filter_already_liked_items=False
    )

    implicit_op = PredictImplicit(model, num_to_recommend=num_to_recommend)

    input_schema = Schema([ColumnSchema("user_id", dtype="int64")])

    triton_chain = input_schema.column_names >> implicit_op

    triton_ens = Ensemble(triton_chain, input_schema)
    ensemble_config, _ = triton_ens.export(tmpdir, runtime=runtime)

    input_user_id = np.array([[0], [1]], dtype=np.int64)
    inputs = [
        grpcclient.InferInput(
            "user_id", input_user_id.shape, triton.np_to_triton_dtype(input_user_id.dtype)
        ),
    ]
    inputs[0].set_data_from_numpy(input_user_id)
    outputs = [grpcclient.InferRequestedOutput("scores"), grpcclient.InferRequestedOutput("ids")]

    response = None


  with run_triton_server(tmpdir) as client:


tests/unit/systems/ops/implicit/test_op.py:121:

/usr/lib/python3.8/contextlib.py:113: in enter

return next(self.gen)

model_repository = local('/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast1')
@contextlib.contextmanager
def run_triton_server(
    model_repository: str,
    *,
    grpc_host: str = "localhost",
    grpc_port: int = 8001,
    backend_config: str = "tensorflow,version=2",
):
    """This function starts up a Triton server instance and returns a client to it.

    Parameters
    ----------
    model_repository : string
        The path to the model repository directory.
    grpc_host : string
        The host address for the triton gRPC server to bind to.
        Default is localhost.
    grpc_port : int
        The port for the triton gRPC server to listen on for requests.
        Default is 8001.
    backend_config : string
        A backend-specific configuration.
        Following the pattern <backend_name>,<setting>=<value>.
        Where <backend_name> is the name of the backend, such as 'tensorflow'

    Yields
    ------
    client: tritonclient.InferenceServerClient
        The client connected to the Triton server.

    """
    if grpc_port == 0 or grpc_port is None:
        grpc_port = _get_random_free_port()
    grpc_url = f"{grpc_host}:{grpc_port}"

    try:
        with grpcclient.InferenceServerClient(grpc_url) as client:
            if client.is_server_ready():
                raise RuntimeError(f"Another tritonserver is already running on {grpc_url}")
    except tritonclient.utils.InferenceServerException:
        pass

    cmdline = [
        TRITON_SERVER_PATH,
        "--model-repository",
        model_repository,
        f"--backend-config={backend_config}",
        f"--grpc-port={grpc_port}",
        f"--grpc-address={grpc_host}",
    ]
    env = os.environ.copy()
    env["CUDA_VISIBLE_DEVICES"] = "0"
    with subprocess.Popen(cmdline, env=env) as process:
        try:
            with grpcclient.InferenceServerClient(grpc_url) as client:
                # wait until server is ready
                time_ranges = [60, 120, 300]
                for seconds in time_ranges:
                    for _ in range(seconds):
                        if process.poll() is not None:
                            retcode = process.returncode


                          raise RuntimeError(f"Tritonserver failed to start (ret={retcode})")


E                               RuntimeError: Tritonserver failed to start (ret=1)
merlin/systems/triton/utils.py:81: RuntimeError

----------------------------- Captured stderr call -----------------------------
0%|          | 0/15 [00:00<?, ?it/s]

100%|██████████| 15/15 [00:00<00:00, 2124.20it/s]

I1102 15:07:45.450693 25717 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f6216000000' with size 268435456

I1102 15:07:45.451422 25717 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1102 15:07:45.454651 25717 model_lifecycle.cc:459] loading: executor_model:1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:07:53.264817 25717 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

1102 15:08:00.698956 25796 pb_stub.cc:309] Failed to initialize Python stub: MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /project/_skbuild/linux-x86_64-3.8/cmake-build/_deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory
At:

_cuda.pyx(104): implicit.gpu._cuda.Matrix.cinit

/usr/local/lib/python3.8/dist-packages/implicit/cpu/als.py(441): to_gpu

/usr/local/lib/python3.8/dist-packages/implicit/gpu/matrix_factorization_base.py(212): load

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/implicit.py(68): load_artifacts

/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast1/executor_model/1/model.py(71): initialize
/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(

E1102 15:08:01.757722 25717 model_lifecycle.cc:596] failed to load 'executor_model' version 1: Internal: MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /project/_skbuild/linux-x86_64-3.8/cmake-build/_deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory
At:

_cuda.pyx(104): implicit.gpu._cuda.Matrix.cinit

/usr/local/lib/python3.8/dist-packages/implicit/cpu/als.py(441): to_gpu

/usr/local/lib/python3.8/dist-packages/implicit/gpu/matrix_factorization_base.py(212): load

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/implicit.py(68): load_artifacts

/tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast1/executor_model/1/model.py(71): initialize
I1102 15:08:01.757929 25717 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+
I1102 15:08:01.758045 25717 server.cc:588]

+---------+-------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend | Path                                                  | Config                                                                                                                                                        |

+---------+-------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+

| python  | /opt/tritonserver/backends/python/libtriton_python.so | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}} |

+---------+-------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:08:01.758219 25717 server.cc:631]

+----------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model          | Version | Status                                                                                                                                                                                                                                    |

+----------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| executor_model | 1       | UNAVAILABLE: Internal: MemoryError: std::bad_alloc: out_of_memory: CUDA error at: /project/_skbuild/linux-x86_64-3.8/cmake-build/_deps/rmm-src/include/rmm/mr/device/cuda_memory_resource.hpp:70: cudaErrorMemoryAllocation out of memory |

|                |         |                                                                                                                                                                                                                                           |

|                |         | At:                                                                                                                                                                                                                                       |

|                |         |   _cuda.pyx(104): implicit.gpu._cuda.Matrix.cinit                                                                                                                                                                                     |

|                |         |   /usr/local/lib/python3.8/dist-packages/implicit/cpu/als.py(441): to_gpu                                                                                                                                                                 |

|                |         |   /usr/local/lib/python3.8/dist-packages/implicit/gpu/matrix_factorization_base.py(212): load                                                                                                                                             |

|                |         |   /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/dag/ops/implicit.py(68): load_artifacts                                                                                     |

|                |         |   /tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast1/executor_model/1/model.py(71): initialize                                                                                                                               |

+----------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:08:01.823818 25717 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1102 15:08:01.824686 25717 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/pytest-of-jenkins/pytest-9/test_ensemble_AlternatingLeast1                                                                                                                              |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 67108864                                                                                                                                                                                     |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:08:01.824723 25717 server.cc:262] Waiting for in-flight requests to complete.

I1102 15:08:01.824730 25717 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1102 15:08:01.824737 25717 server.cc:293] All models are stopped, unloading models

I1102 15:08:01.824742 25717 server.cc:300] Timeout 30: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1102 15:08:02.843510 25717 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

______________ test_workflow_tf_e2e_config_verification[parquet] _______________
tmpdir = local('/tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0')

dataset = <merlin.io.dataset.Dataset object at 0x7faf502ed4c0>

engine = 'parquet'
@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize("engine", ["parquet"])
def test_workflow_tf_e2e_config_verification(tmpdir, dataset, engine):
    # Create a Workflow
    schema = dataset.schema
    for name in ["x", "y", "id"]:
        dataset.schema.column_schemas[name] = dataset.schema.column_schemas[name].with_tags(
            [Tags.USER]
        )
    selector = ColumnSelector(["x", "y", "id"])

    workflow_ops = selector >> wf_ops.Rename(postfix="_nvt")
    workflow = Workflow(workflow_ops["x_nvt"])
    workflow.fit(dataset)

    # Create Tensorflow Model
    model = tf.keras.models.Sequential(
        [
            tf.keras.Input(name="x_nvt", dtype=tf.float64, shape=(1,)),
            tf.keras.layers.Dense(16, activation="relu"),
            tf.keras.layers.Dropout(0.2),
            tf.keras.layers.Dense(1, name="output"),
        ]
    )
    model.compile(
        optimizer="adam",
        loss=tf.losses.SparseCategoricalCrossentropy(from_logits=True),
        metrics=[tf.metrics.SparseCategoricalAccuracy()],
    )

    # Creating Triton Ensemble
    triton_chain = (
        selector >> TransformWorkflow(workflow, cats=["x_nvt"]) >> PredictTensorflow(model)
    )
    triton_ens = Ensemble(triton_chain, schema)

    # Creating Triton Ensemble Config
    ensemble_config, node_configs = triton_ens.export(str(tmpdir))

    config_path = tmpdir / ensemble_config.name / "config.pbtxt"

    # Checking Triton Ensemble Config
    with open(config_path, "rb") as f:
        config = model_config.ModelConfig()
        raw_config = f.read()
        parsed = text_format.Parse(raw_config, config)

        # The config file contents are correct
        assert parsed.name == "ensemble_model"
        assert parsed.platform == "ensemble"
        assert hasattr(parsed, "ensemble_scheduling")

    df = make_df({"x": [1.0, 2.0, 3.0], "y": [4.0, 5.0, 6.0], "id": [7, 8, 9]})

    request_schema = Schema([schema["x"], schema["y"], schema["id"]])

    output_columns = triton_ens.output_schema.column_names


  response = run_ensemble_on_tritonserver(


        str(tmpdir), request_schema, df, output_columns, ensemble_config.name
    )

tests/unit/systems/ops/tf/test_ensemble.py:108:

merlin/systems/triton/utils.py:139: in run_ensemble_on_tritonserver

response = send_triton_request(

merlin/systems/triton/utils.py:192: in send_triton_request

response = client.infer(triton_model, inputs, request_id=request_id, outputs=outputs)

/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:1322: in infer

raise_error_grpc(rpc_error)

rpc_error = <_InactiveRpcError of RPC that terminated with:

status = StatusCode.INTERNAL

details = "in ensemble 'ensemble_model'...f-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/0_transformworkflow/1/model.py(126): execute\n","grpc_status":13}"


def raise_error_grpc(rpc_error):


  raise get_error_grpc(rpc_error) from None


E       tritonclient.utils.InferenceServerException: [StatusCode.INTERNAL] in ensemble 'ensemble_model', Failed to process the request(s) for model instance '0_transformworkflow', message: 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

E

E       At:

E         device_buffer.pyx(88): rmm._lib.device_buffer.DeviceBuffer.cinit

E         /usr/local/lib/python3.8/dist-packages/rmm/rmm.py(226): rmm_cupy_allocator

E         /usr/local/lib/python3.8/dist-packages/cupy/_creation/from_data.py(76): asarray

E         /usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py(1933): as_column

E         /usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py(2694): _insert

E         /usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py(101): inner

E         /usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py(2620): insert

E         /usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py(101): inner

E         /usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py(1259): setitem

E         /usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py(101): inner

E         /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py(114): _array_to_cudf

E         /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py(74): convert_format

E         /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py(192): _transform_tensors

E         /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py(134): _transform_tensors

E         /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py(107): run_workflow

E         /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/0_transformworkflow/1/model.py(126): execute
/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:62: InferenceServerException

----------------------------- Captured stdout call -----------------------------

Signal (2) received.

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

I1102 15:09:06.064798 26389 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f5646000000' with size 268435456

I1102 15:09:06.065575 26389 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1102 15:09:06.069609 26389 model_lifecycle.cc:459] loading: 0_transformworkflow:1

I1102 15:09:06.069651 26389 model_lifecycle.cc:459] loading: 1_predicttensorflow:1

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:09:14.188282 26389 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1102 15:09:14.188338 26389 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1102 15:09:14.188351 26389 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1102 15:09:14.188361 26389 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1102 15:09:14.188410 26389 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_transformworkflow (GPU device 0)

I1102 15:09:20.599178 26389 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 1_predicttensorflow (version 1)

I1102 15:09:20.599471 26389 model_lifecycle.cc:693] successfully loaded '0_transformworkflow' version 1

2022-11-02 15:09:20.599793: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/1_predicttensorflow/1/model.savedmodel

2022-11-02 15:09:20.601035: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-02 15:09:20.601062: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/1_predicttensorflow/1/model.savedmodel

2022-11-02 15:09:20.601166: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

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

2022-11-02 15:09:20.646477: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 55 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-02 15:09:20.681241: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-11-02 15:09:20.682011: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-02 15:09:20.733073: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/1_predicttensorflow/1/model.savedmodel

2022-11-02 15:09:20.741751: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 141974 microseconds.

I1102 15:09:20.744620 26389 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 1_predicttensorflow (GPU device 0)

2022-11-02 15:09:20.744982: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/1_predicttensorflow/1/model.savedmodel

2022-11-02 15:09:20.745929: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-02 15:09:20.745949: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/1_predicttensorflow/1/model.savedmodel

2022-11-02 15:09:20.748120: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 55 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-02 15:09:20.750286: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-02 15:09:20.776104: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/1_predicttensorflow/1/model.savedmodel

2022-11-02 15:09:20.785055: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 40074 microseconds.

I1102 15:09:20.785277 26389 model_lifecycle.cc:693] successfully loaded '1_predicttensorflow' version 1

I1102 15:09:20.785580 26389 model_lifecycle.cc:459] loading: ensemble_model:1

I1102 15:09:20.785811 26389 model_lifecycle.cc:693] successfully loaded 'ensemble_model' version 1

I1102 15:09:20.785922 26389 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+
I1102 15:09:20.786027 26389 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:09:20.786103 26389 server.cc:631]

+---------------------+---------+--------+

| Model               | Version | Status |

+---------------------+---------+--------+

| 0_transformworkflow | 1       | READY  |

| 1_predicttensorflow | 1       | READY  |

| ensemble_model      | 1       | READY  |

+---------------------+---------+--------+
I1102 15:09:20.849785 26389 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1102 15:09:20.850628 26389 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0                                                                                                                              |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 67108864                                                                                                                                                                                     |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:09:20.852085 26389 grpc_server.cc:4610] Started GRPCInferenceService at localhost:8001

I1102 15:09:20.852287 26389 http_server.cc:3316] Started HTTPService at 0.0.0.0:8000

I1102 15:09:20.893128 26389 http_server.cc:178] Started Metrics Service at 0.0.0.0:8002

W1102 15:09:21.869365 26389 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

W1102 15:09:22.869577 26389 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

Failed to transform operator <nvtabular.ops.rename.Rename object at 0x7fb465e434f0>

Traceback (most recent call last):

File "/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py", line 183, in _transform_tensors

tensors, kind = convert_format(tensors, kind, workflow_node.inference_supports)

File "/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py", line 74, in convert_format

return _array_to_cudf(tensors), Supports.GPU_DATAFRAME

File "/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py", line 114, in _array_to_cudf

output[name] = tensor

File "/usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py", line 101, in inner

result = func(*args, **kwargs)

File "/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py", line 1259, in setitem

self.insert(len(self._data), arg, value)

File "/usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py", line 101, in inner

result = func(*args, **kwargs)

File "/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py", line 2620, in insert

return self._insert(

File "/usr/local/lib/python3.8/dist-packages/nvtx/nvtx.py", line 101, in inner

result = func(*args, **kwargs)

File "/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py", line 2694, in _insert

value = column.as_column(value, nan_as_null=nan_as_null)

File "/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py", line 1933, in as_column

cupy.asarray(arbitrary, dtype=arb_dtype),

File "/usr/local/lib/python3.8/dist-packages/cupy/_creation/from_data.py", line 76, in asarray

return _core.array(a, dtype, False, order)

File "cupy/_core/core.pyx", line 2266, in cupy._core.core.array

File "cupy/_core/core.pyx", line 2290, in cupy._core.core.array

File "cupy/_core/core.pyx", line 2422, in cupy._core.core._array_default

File "cupy/_core/core.pyx", line 171, in cupy._core.core.ndarray.init

File "cupy/cuda/memory.pyx", line 698, in cupy.cuda.memory.alloc

File "/usr/local/lib/python3.8/dist-packages/rmm/rmm.py", line 226, in rmm_cupy_allocator

buf = librmm.device_buffer.DeviceBuffer(size=nbytes, stream=stream)

File "device_buffer.pyx", line 88, in rmm._lib.device_buffer.DeviceBuffer.cinit

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

1102 15:09:23.737068 26468 pb_stub.cc:777] Failed to process the request(s) for model '0_transformworkflow', message: 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
At:

device_buffer.pyx(88): rmm._lib.device_buffer.DeviceBuffer.cinit

/usr/local/lib/python3.8/dist-packages/rmm/rmm.py(226): rmm_cupy_allocator

/usr/local/lib/python3.8/dist-packages/cupy/_creation/from_data.py(76): asarray

/usr/local/lib/python3.8/dist-packages/cudf/core/column/column.py(1933): as_column

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py(2694): _insert

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

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py(2620): insert

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

/usr/local/lib/python3.8/dist-packages/cudf/core/dataframe.py(1259): setitem

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

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py(114): _array_to_cudf

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/triton/conversions.py(74): convert_format

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py(192): _transform_tensors

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py(134): _transform_tensors

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/systems/workflow/base.py(107): run_workflow

/tmp/pytest-of-jenkins/pytest-9/test_workflow_tf_e2e_config_ve0/0_transformworkflow/1/model.py(126): execute
I1102 15:09:23.738491 26389 server.cc:262] Waiting for in-flight requests to complete.

I1102 15:09:23.738522 26389 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1102 15:09:23.738837 26389 server.cc:293] All models are stopped, unloading models

I1102 15:09:23.738845 26389 model_lifecycle.cc:578] successfully unloaded 'ensemble_model' version 1

I1102 15:09:23.738865 26389 server.cc:300] Timeout 30: Found 3 live models and 0 in-flight non-inference requests

I1102 15:09:23.738922 26389 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1102 15:09:23.739042 26389 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

I1102 15:09:23.742607 26389 model_lifecycle.cc:578] successfully unloaded '1_predicttensorflow' version 1

W1102 15:09:23.889251 26389 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1102 15:09:24.738997 26389 server.cc:300] Timeout 29: Found 1 live models and 0 in-flight non-inference requests

I1102 15:09:25.739135 26389 server.cc:300] Timeout 28: Found 1 live models and 0 in-flight non-inference requests

I1102 15:09:25.771932 26389 model_lifecycle.cc:578] successfully unloaded '0_transformworkflow' version 1

I1102 15:09:26.739269 26389 server.cc:300] Timeout 27: Found 0 live models and 0 in-flight non-inference requests

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

WARNING  tensorflow:load.py:167 No training configuration found in save file, so the model was not compiled. Compile it manually.

=============================== 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: 35 warnings

/var/jenkins_home/workspace/merlin_systems/systems/.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)
../../../.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18

/var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18: DeprecationWarning: The nvtabular.framework_utils module is being replaced by the Merlin Models library. Support for importing from nvtabular.framework_utils is deprecated, and will be removed in a future version. Please consider using the models and layers from Merlin Models instead.

warnings.warn(
../../../../../usr/local/lib/python3.8/dist-packages/faiss/loader.py:28

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column x is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column y is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column id is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[1]

tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[2]

/usr/local/lib/python3.8/dist-packages/feast/feature_view.py:100: DeprecationWarning: The argument 'input' is being deprecated. Please use 'batch_source' instead. Feast 0.13 and onwards will not support the argument 'input'.

warnings.warn(
tests/unit/systems/ops/fil/test_forest.py::test_export_merlin_models

/var/jenkins_home/.local/lib/python3.8/site-packages/distributed/node.py:180: UserWarning: Port 8787 is already in use.

Perhaps you already have a cluster running?

Hosting the HTTP server on port 42765 instead

warnings.warn(
tests/unit/systems/ops/fil/test_forest.py::test_export_merlin_models

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_default[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_with_proba[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_multi_classifier[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_regressor[sklearn_forest_regressor-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_model_file[sklearn_forest_regressor-checkpoint.tl]

/usr/local/lib/python3.8/dist-packages/sklearn/utils/deprecation.py:103: FutureWarning: Attribute n_features_ was deprecated in version 1.0 and will be removed in 1.2. Use n_features_in_ instead.

warnings.warn(msg, category=FutureWarning)
tests/unit/systems/ops/implicit/test_op.py::test_reload_from_config[AlternatingLeastSquares]

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(
tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving[True-True]

tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving_python[True-True]

/usr/local/lib/python3.8/dist-packages/torch/serialization.py:707: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)

warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"
-- 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/systems/init.py                        6      0   100%

merlin/systems/_version.py                      354    205    42%

merlin/systems/dag/init.py                    3      0   100%

merlin/systems/dag/ensemble.py                   46      3    93%

merlin/systems/dag/node.py                       23      1    96%

merlin/systems/dag/op_runner.py                  26      1    96%

merlin/systems/dag/ops/init.py                8      0   100%

merlin/systems/dag/ops/compat.py                 24      8    67%

merlin/systems/dag/ops/faiss.py                  77     23    70%

merlin/systems/dag/ops/feast.py                 126      7    94%

merlin/systems/dag/ops/fil.py                   223     34    85%

merlin/systems/dag/ops/implicit.py               72     13    82%

merlin/systems/dag/ops/operator.py               76      5    93%

merlin/systems/dag/ops/pytorch.py                89     12    87%

merlin/systems/dag/ops/session_filter.py         45      7    84%

merlin/systems/dag/ops/softmax_sampling.py       51     17    67%

merlin/systems/dag/ops/tensorflow.py            112     16    86%

merlin/systems/dag/ops/unroll_features.py        50     50     0%

merlin/systems/dag/ops/workflow.py               72     26    64%

merlin/systems/dag/runtimes/init.py           1      0   100%

merlin/systems/dag/runtimes/base_runtime.py      10      2    80%

merlin/systems/dag/runtimes/triton.py           116      7    94%

merlin/systems/model_registry.py                 16      1    94%

merlin/systems/triton/init.py                49     17    65%

merlin/systems/triton/conversions.py             87     73    16%

merlin/systems/triton/export.py                 266    155    42%

merlin/systems/triton/utils.py                   72     12    83%

merlin/systems/workflow/init.py              22      5    77%

merlin/systems/workflow/base.py                 113    113     0%

merlin/systems/workflow/hugectr.py               37     37     0%

merlin/systems/workflow/pytorch.py               10     10     0%

merlin/systems/workflow/tensorflow.py            32     32     0%
TOTAL                                          2314    892    61%
============ 4 failed, 88 passed, 57 warnings in 952.07s (0:15:52) =============

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_systems/systems/.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/systems/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_systems] $ /bin/bash /tmp/jenkins18127987080194721472.sh

nvidia-merlin-bot · 2022-11-02T15:39:26Z

Click to view CI Results

GitHub pull request #220 of commit f9cd468db82a135f7b097dd3b29d37ce22b2c995, no merge conflicts.
Running as SYSTEM
Setting status of f9cd468db82a135f7b097dd3b29d37ce22b2c995 to PENDING with url https://10.20.13.93:8080/job/merlin_systems/483/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_systems
using credential fce1c729-5d7c-48e8-90cb-b0c314b1076e
 > 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/systems # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/systems
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems user + githubtoken
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/systems +refs/pull/220/*:refs/remotes/origin/pr/220/* # timeout=10
 > git rev-parse f9cd468db82a135f7b097dd3b29d37ce22b2c995^{commit} # timeout=10
Checking out Revision f9cd468db82a135f7b097dd3b29d37ce22b2c995 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f f9cd468db82a135f7b097dd3b29d37ce22b2c995 # timeout=10
Commit message: "Remove `ServingAdapter` from pytorch integration test"
 > git rev-list --no-walk c4e4cc843615f3b90a5d880e18ae541b53aa2740 # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins2516665612148363412.sh
PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib:/var/jenkins_home/workspace/merlin_systems/systems
GLOB sdist-make: /var/jenkins_home/workspace/merlin_systems/systems/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_systems/systems/.tox/.tmp/package/1/merlin-systems-0.7.0+21.gf9cd468.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==1.27.0,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==1.29.0,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==4.0.0,cloudpickle==2.2.0,cmaes==0.8.2,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+21.gf9cd468,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,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,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.42,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.0,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1274681599'
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-o4h2dal6
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-o4h2dal6
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 563be4bf5ef675940d5fff2b5e4666424a7f7947
  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: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
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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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.2.0)
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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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.0.1)
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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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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-0.8.0+5.g563be4b-py3-none-any.whl size=118363 sha256=bf468cac328f6856747b5e43955a8efef5d9a91a683dd38aeacc7ab4af0d8a8d
  Stored in directory: /tmp/pip-ephem-wheel-cache-aeax15cv/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_systems/systems/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+5.g563be4b
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[1] | python -m pip install .

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com

Processing /var/jenkins_home/workspace/merlin_systems/systems

Installing build dependencies: started

Installing build dependencies: finished with status 'done'

Getting requirements to build wheel: started

Getting requirements to build wheel: finished with status 'done'

Preparing metadata (pyproject.toml): started

Preparing metadata (pyproject.toml): finished with status 'done'

Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gf9cd468) (1.1.1)

Requirement already satisfied: merlin-core>=0.2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+21.gf9cd468) (0.8.0+5.g563be4b)

Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+21.gf9cd468) (2.22.0)

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Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (4.64.1)

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Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (1.3.5)

Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (2022.3.0)

Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (1.2.5)

Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (21.3)

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Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (2022.3.0)

Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (1.10.0)

Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (0.4.3)

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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->merlin-systems==0.7.0+21.gf9cd468) (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>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (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>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (2.2.0)

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>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (5.8.0)

Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (6.1)

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->merlin-systems==0.7.0+21.gf9cd468) (2.4.0)

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Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (3.1.2)

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->merlin-systems==0.7.0+21.gf9cd468) (1.0.4)

Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (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->merlin-systems==0.7.0+21.gf9cd468) (1.7.0)

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Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (65.4.1)

Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (1.20.3)

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Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (2022.2.1)

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Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (1.52.0)

Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (1.2.0)

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Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (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->merlin-systems==0.7.0+21.gf9cd468) (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->merlin-systems==0.7.0+21.gf9cd468) (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->merlin-systems==0.7.0+21.gf9cd468) (4.1.0)

Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (2.1.1)

Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (4.0.0)

Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+21.gf9cd468) (6.0.1)

Building wheels for collected packages: merlin-systems

Building wheel for merlin-systems (pyproject.toml): started

Building wheel for merlin-systems (pyproject.toml): finished with status 'done'

Created wheel for merlin-systems: filename=merlin_systems-0.7.0+21.gf9cd468-py3-none-any.whl size=94161 sha256=a1f860dc6fa5f08cb0f0648dc974035f6ed3939c5026af0709f0c9cabafb0042

Stored in directory: /tmp/pip-ephem-wheel-cache-n_cgn9at/wheels/20/f3/c7/f7c2f6c257e882a60cdd173901b8757359446cf94a453e0811

Successfully built merlin-systems

Installing collected packages: merlin-systems

Attempting uninstall: merlin-systems

Found existing installation: merlin-systems 0.7.0+21.gf9cd468

Uninstalling merlin-systems-0.7.0+21.gf9cd468:

Successfully uninstalled merlin-systems-0.7.0+21.gf9cd468

Successfully installed merlin-systems-0.7.0+21.gf9cd468
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[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_systems/systems, configfile: pytest.ini

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

collected 92 items
tests/unit/test_export.py .                                              [  1%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  2%]

.                                                                        [  3%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  4%]

[  4%]

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py . [  5%]

[  5%]

tests/unit/systems/dag/test_ensemble.py .                                [  6%]

tests/unit/systems/dag/test_executors.py ...                             [  9%]

tests/unit/systems/dag/test_graph.py ..                                  [ 11%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 14%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 18%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 20%]

tests/unit/systems/dag/runtimes/test_triton.py .....                     [ 26%]

tests/unit/systems/ops/faiss/test_executor.py F                          [ 27%]

tests/unit/systems/ops/feast/test_op.py .......                          [ 34%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 35%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 40%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 68%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 71%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 81%]

tests/unit/systems/ops/nvtabular/test_ensemble.py .                      [ 82%]

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 84%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 89%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 93%]

tests/unit/systems/ops/torch/test_op.py ......                           [100%]
=================================== FAILURES ===================================

_____________________ test_faiss_in_triton_executor_model ______________________
tmpdir = local('/tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0')
@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
def test_faiss_in_triton_executor_model(tmpdir):
    # Simulate a user vector with a TF model
    model = tf.keras.models.Sequential(
        [
            tf.keras.Input(name="user_id", dtype=tf.int32, shape=(1,)),
            tf.keras.layers.Dense(128, activation="relu", name="output"),
        ]
    )

    model.compile(
        optimizer="adam",
        loss=tf.losses.SparseCategoricalCrossentropy(from_logits=True),
        metrics=[tf.metrics.SparseCategoricalAccuracy()],
    )

    faiss_path = tmpdir / "faiss.index"
    item_ids = np.arange(0, 100).reshape(-1, 1)
    item_embeddings = np.ascontiguousarray(np.random.rand(100, 128))
    setup_faiss(np.concatenate((item_ids, item_embeddings), axis=1), faiss_path)

    request_schema = Schema(
        [
            ColumnSchema("user_id", dtype=np.int32),
        ]
    )

    request_features = {
        "user_id": np.array([1]),
    }
    request_data = DictArray(request_features)

    filtering = ["user_id"] >> PredictTensorflow(model) >> QueryFaiss(faiss_path)

    ensemble = Ensemble(filtering, request_schema)
    ensemble_config, _ = ensemble.export(tmpdir, runtime=TritonExecutorRuntime())


  response = run_ensemble_on_tritonserver(


        tmpdir,
        ensemble.input_schema,
        make_df(request_data.arrays),
        ensemble.output_schema.column_names,
        ensemble_config.name,
    )

tests/unit/systems/ops/faiss/test_executor.py:81:

merlin/systems/triton/utils.py:138: in run_ensemble_on_tritonserver

with run_triton_server(tmpdir) as client:

/usr/lib/python3.8/contextlib.py:113: in enter

return next(self.gen)

model_repository = local('/tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0')
@contextlib.contextmanager
def run_triton_server(
    model_repository: str,
    *,
    grpc_host: str = "localhost",
    grpc_port: int = 8001,
    backend_config: str = "tensorflow,version=2",
):
    """This function starts up a Triton server instance and returns a client to it.

    Parameters
    ----------
    model_repository : string
        The path to the model repository directory.
    grpc_host : string
        The host address for the triton gRPC server to bind to.
        Default is localhost.
    grpc_port : int
        The port for the triton gRPC server to listen on for requests.
        Default is 8001.
    backend_config : string
        A backend-specific configuration.
        Following the pattern <backend_name>,<setting>=<value>.
        Where <backend_name> is the name of the backend, such as 'tensorflow'

    Yields
    ------
    client: tritonclient.InferenceServerClient
        The client connected to the Triton server.

    """
    if grpc_port == 0 or grpc_port is None:
        grpc_port = _get_random_free_port()
    grpc_url = f"{grpc_host}:{grpc_port}"

    try:
        with grpcclient.InferenceServerClient(grpc_url) as client:
            if client.is_server_ready():
                raise RuntimeError(f"Another tritonserver is already running on {grpc_url}")
    except tritonclient.utils.InferenceServerException:
        pass

    cmdline = [
        TRITON_SERVER_PATH,
        "--model-repository",
        model_repository,
        f"--backend-config={backend_config}",
        f"--grpc-port={grpc_port}",
        f"--grpc-address={grpc_host}",
    ]
    env = os.environ.copy()
    env["CUDA_VISIBLE_DEVICES"] = "0"
    with subprocess.Popen(cmdline, env=env) as process:
        try:
            with grpcclient.InferenceServerClient(grpc_url) as client:
                # wait until server is ready
                time_ranges = [60, 120, 300]
                for seconds in time_ranges:
                    for _ in range(seconds):
                        if process.poll() is not None:
                            retcode = process.returncode


                          raise RuntimeError(f"Tritonserver failed to start (ret={retcode})")


E                               RuntimeError: Tritonserver failed to start (ret=1)
merlin/systems/triton/utils.py:81: RuntimeError

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

WARNING clustering 100 points to 32 centroids: please provide at least 1248 training points

I1102 15:26:29.382978 12130 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f34c6000000' with size 268435456

I1102 15:26:29.383717 12130 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1102 15:26:29.387937 12130 model_lifecycle.cc:459] loading: 0_predicttensorflowtriton:1

I1102 15:26:29.387980 12130 model_lifecycle.cc:459] loading: executor_model:1

I1102 15:26:29.664081 12130 tensorflow.cc:2536] TRITONBACKEND_Initialize: tensorflow

I1102 15:26:29.664121 12130 tensorflow.cc:2546] Triton TRITONBACKEND API version: 1.10

I1102 15:26:29.664129 12130 tensorflow.cc:2552] 'tensorflow' TRITONBACKEND API version: 1.10

I1102 15:26:29.664135 12130 tensorflow.cc:2576] backend configuration:

{"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}}

I1102 15:26:29.664174 12130 tensorflow.cc:2642] TRITONBACKEND_ModelInitialize: 0_predicttensorflowtriton (version 1)

2022-11-02 15:26:29.664725: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0/0_predicttensorflowtriton/1/model.savedmodel

2022-11-02 15:26:29.665545: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-02 15:26:29.665572: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0/0_predicttensorflowtriton/1/model.savedmodel

2022-11-02 15:26:29.665665: I tensorflow/core/platform/cpu_feature_guard.cc:194] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX

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

2022-11-02 15:26:30.088431: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-11-02 15:26:30.088547: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 12994 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-02 15:26:30.120497: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled

2022-11-02 15:26:30.121111: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-02 15:26:30.141676: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0/0_predicttensorflowtriton/1/model.savedmodel

2022-11-02 15:26:30.148909: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 484195 microseconds.

I1102 15:26:30.153200 12130 tensorflow.cc:2691] TRITONBACKEND_ModelInstanceInitialize: 0_predicttensorflowtriton (GPU device 0)

2022-11-02 15:26:30.153696: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0/0_predicttensorflowtriton/1/model.savedmodel

2022-11-02 15:26:30.154342: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }

2022-11-02 15:26:30.154362: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0/0_predicttensorflowtriton/1/model.savedmodel

2022-11-02 15:26:30.156384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 12994 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

2022-11-02 15:26:30.157837: I tensorflow/cc/saved_model/loader.cc:230] Restoring SavedModel bundle.

2022-11-02 15:26:30.190780: I tensorflow/cc/saved_model/loader.cc:214] Running initialization op on SavedModel bundle at path: /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0/0_predicttensorflowtriton/1/model.savedmodel

2022-11-02 15:26:30.200929: I tensorflow/cc/saved_model/loader.cc:321] SavedModel load for tags { serve }; Status: success: OK. Took 47235 microseconds.

I1102 15:26:30.201829 12130 tensorflow.cc:2729] TRITONBACKEND_ModelInstanceFinalize: delete instance state

I1102 15:26:30.202157 12130 tensorflow.cc:2668] TRITONBACKEND_ModelFinalize: delete model state

E1102 15:26:30.202175 12130 model_lifecycle.cc:596] failed to load '0_predicttensorflowtriton' version 1: Invalid argument: model '0_predicttensorflowtriton', tensor 'output': the model expects 2 dimensions (shape [-1,128]) but the model configuration specifies 2 dimensions (shape [-1,-1])

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:26:38.061485 12130 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

2022-11-02 15:26:44.083565: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA

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

2022-11-02 15:26:45.218777: I tensorflow/core/common_runtime/gpu/gpu_process_state.cc:222] Using CUDA malloc Async allocator for GPU: 0

2022-11-02 15:26:45.218946: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 12512 MB memory:  -> device: 0, name: Tesla P100-DGXS-16GB, pci bus id: 0000:07:00.0, compute capability: 6.0

I1102 15:26:46.051957 12130 model_lifecycle.cc:693] successfully loaded 'executor_model' version 1

I1102 15:26:46.052082 12130 server.cc:561]

+------------------+------+

| Repository Agent | Path |

+------------------+------+

+------------------+------+
I1102 15:26:46.052144 12130 server.cc:588]

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Backend    | Path                                                            | Config                                                                                                                                                                      |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| tensorflow | /opt/tritonserver/backends/tensorflow2/libtriton_tensorflow2.so | {"cmdline":{"auto-complete-config":"true","backend-directory":"/opt/tritonserver/backends","min-compute-capability":"6.000000","version":"2","default-max-batch-size":"4"}} |

| python     | /opt/tritonserver/backends/python/libtriton_python.so           | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","default-max-batch-size":"4"}}               |

+------------+-----------------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:26:46.052184 12130 server.cc:631]

+---------------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Model                     | Version | Status                                                                                                                                                                                                |

+---------------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| 0_predicttensorflowtriton | 1       | UNAVAILABLE: Invalid argument: model '0_predicttensorflowtriton', tensor 'output': the model expects 2 dimensions (shape [-1,128]) but the model configuration specifies 2 dimensions (shape [-1,-1]) |

| executor_model            | 1       | READY                                                                                                                                                                                                 |

+---------------------------+---------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:26:46.110829 12130 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1102 15:26:46.111677 12130 tritonserver.cc:2214]

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| Option                           | Value                                                                                                                                                                                        |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

| server_id                        | triton                                                                                                                                                                                       |

| server_version                   | 2.25.0                                                                                                                                                                                       |

| server_extensions                | classification sequence model_repository model_repository(unload_dependents) schedule_policy model_configuration system_shared_memory cuda_shared_memory binary_tensor_data statistics trace |

| model_repository_path[0]         | /tmp/pytest-of-jenkins/pytest-11/test_faiss_in_triton_executor_0                                                                                                                             |

| model_control_mode               | MODE_NONE                                                                                                                                                                                    |

| strict_model_config              | 0                                                                                                                                                                                            |

| rate_limit                       | OFF                                                                                                                                                                                          |

| pinned_memory_pool_byte_size     | 268435456                                                                                                                                                                                    |

| cuda_memory_pool_byte_size{0}    | 67108864                                                                                                                                                                                     |

| response_cache_byte_size         | 0                                                                                                                                                                                            |

| min_supported_compute_capability | 6.0                                                                                                                                                                                          |

| strict_readiness                 | 1                                                                                                                                                                                            |

| exit_timeout                     | 30                                                                                                                                                                                           |

+----------------------------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
I1102 15:26:46.111715 12130 server.cc:262] Waiting for in-flight requests to complete.

I1102 15:26:46.111723 12130 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1102 15:26:46.111761 12130 server.cc:293] All models are stopped, unloading models

I1102 15:26:46.111770 12130 server.cc:300] Timeout 30: Found 1 live models and 0 in-flight non-inference requests

I1102 15:26:47.111850 12130 server.cc:300] Timeout 29: Found 1 live models and 0 in-flight non-inference requests

W1102 15:26:47.137585 12130 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

/usr/lib/python3/dist-packages/requests/init.py:89: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

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

I1102 15:26:48.111975 12130 server.cc:300] Timeout 28: Found 1 live models and 0 in-flight non-inference requests

W1102 15:26:48.137790 12130 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1102 15:26:48.164630 12130 model_lifecycle.cc:578] successfully unloaded 'executor_model' version 1

I1102 15:26:49.112117 12130 server.cc:300] Timeout 27: Found 0 live models and 0 in-flight non-inference requests

error: creating server: Internal - failed to load all models

W1102 15:26:49.155198 12130 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

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

WARNING  tensorflow:load.py:167 No training configuration found in save file, so the model was not compiled. Compile it manually.

=============================== 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: 35 warnings

/var/jenkins_home/workspace/merlin_systems/systems/.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)
../../../.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18

/var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18: DeprecationWarning: The nvtabular.framework_utils module is being replaced by the Merlin Models library. Support for importing from nvtabular.framework_utils is deprecated, and will be removed in a future version. Please consider using the models and layers from Merlin Models instead.

warnings.warn(
../../../../../usr/local/lib/python3.8/dist-packages/faiss/loader.py:28

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column x is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column y is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column id is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[1]

tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[2]

/usr/local/lib/python3.8/dist-packages/feast/feature_view.py:100: DeprecationWarning: The argument 'input' is being deprecated. Please use 'batch_source' instead. Feast 0.13 and onwards will not support the argument 'input'.

warnings.warn(
tests/unit/systems/ops/fil/test_forest.py::test_export_merlin_models

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_default[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_with_proba[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_multi_classifier[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_regressor[sklearn_forest_regressor-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_model_file[sklearn_forest_regressor-checkpoint.tl]

/usr/local/lib/python3.8/dist-packages/sklearn/utils/deprecation.py:103: FutureWarning: Attribute n_features_ was deprecated in version 1.0 and will be removed in 1.2. Use n_features_in_ instead.

warnings.warn(msg, category=FutureWarning)
tests/unit/systems/ops/implicit/test_op.py::test_reload_from_config[AlternatingLeastSquares]

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(
tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving[True-True]

tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving_python[True-True]

/usr/local/lib/python3.8/dist-packages/torch/serialization.py:707: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)

warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"
-- 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/systems/init.py                                 6      0   100%

merlin/systems/_version.py                               354    205    42%

merlin/systems/dag/init.py                             3      0   100%

merlin/systems/dag/ensemble.py                            46      3    93%

merlin/systems/dag/node.py                                23      1    96%

merlin/systems/dag/op_runner.py                           26      1    96%

merlin/systems/dag/ops/init.py                         8      0   100%

merlin/systems/dag/ops/compat.py                          24      8    67%

merlin/systems/dag/ops/faiss.py                           77     23    70%

merlin/systems/dag/ops/feast.py                          126      7    94%

merlin/systems/dag/ops/fil.py                            223     34    85%

merlin/systems/dag/ops/implicit.py                        72     13    82%

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         89     12    87%

merlin/systems/dag/ops/session_filter.py                  45      7    84%

merlin/systems/dag/ops/softmax_sampling.py                51     17    67%

merlin/systems/dag/ops/tensorflow.py                      67      7    90%

merlin/systems/dag/ops/unroll_features.py                 50     50     0%

merlin/systems/dag/ops/workflow.py                        72     26    64%

merlin/systems/dag/runtimes/init.py                    1      0   100%

merlin/systems/dag/runtimes/base_runtime.py               11      2    82%

merlin/systems/dag/runtimes/triton/init.py             1      0   100%

merlin/systems/dag/runtimes/triton/ops/init.py         0      0   100%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      61     12    80%

merlin/systems/dag/runtimes/triton/runtime.py            140      9    94%

merlin/systems/model_registry.py                          16      1    94%

merlin/systems/triton/init.py                         49     17    65%

merlin/systems/triton/conversions.py                      87     73    16%

merlin/systems/triton/export.py                          268    155    42%

merlin/systems/triton/models/init.py                   0      0   100%

merlin/systems/triton/models/executor_model.py            41     41     0%

merlin/systems/triton/models/oprunner_model.py            41     41     0%

merlin/systems/triton/models/pytorch_model.py            104    104     0%

merlin/systems/triton/models/workflow_model.py            53     53     0%

merlin/systems/triton/utils.py                            72     12    83%

merlin/systems/workflow/init.py                       22      5    77%

merlin/systems/workflow/base.py                          113    113     0%

merlin/systems/workflow/hugectr.py                        37     37     0%

merlin/systems/workflow/pytorch.py                        10     10     0%

merlin/systems/workflow/tensorflow.py                     32     32     0%
TOTAL                                                   2611   1137    56%
============ 1 failed, 91 passed, 56 warnings in 1248.35s (0:20:48) ============

ERROR: InvocationError for command /var/jenkins_home/workspace/merlin_systems/systems/.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/systems/issues/$ghprbPullId/comments" "/var/jenkins_home/jobs/$JOB_NAME/builds/$BUILD_NUMBER/log"

[merlin_systems] $ /bin/bash /tmp/jenkins3561061313569171804.sh

Required for some tests (e.g. faiss with executor)

nvidia-merlin-bot · 2022-11-02T17:01:14Z

Click to view CI Results

GitHub pull request #220 of commit 1ba691bdd5a27c0a8ea1226d042d96d954055801, no merge conflicts.
Running as SYSTEM
Setting status of 1ba691bdd5a27c0a8ea1226d042d96d954055801 to PENDING with url https://10.20.13.93:8080/job/merlin_systems/484/console and message: 'Pending'
Using context: Jenkins
Building on master in workspace /var/jenkins_home/workspace/merlin_systems
using credential fce1c729-5d7c-48e8-90cb-b0c314b1076e
 > 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/systems # timeout=10
Fetching upstream changes from https://github.com/NVIDIA-Merlin/systems
 > git --version # timeout=10
using GIT_ASKPASS to set credentials login for merlin-systems user + githubtoken
 > git fetch --tags --force --progress -- https://github.com/NVIDIA-Merlin/systems +refs/pull/220/*:refs/remotes/origin/pr/220/* # timeout=10
 > git rev-parse 1ba691bdd5a27c0a8ea1226d042d96d954055801^{commit} # timeout=10
Checking out Revision 1ba691bdd5a27c0a8ea1226d042d96d954055801 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 1ba691bdd5a27c0a8ea1226d042d96d954055801 # timeout=10
Commit message: "Restore use of value_count for fixed dim columns"
 > git rev-list --no-walk f9cd468db82a135f7b097dd3b29d37ce22b2c995 # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins3930074098794098722.sh
PYTHONPATH=:/usr/local/lib/python3.8/dist-packages/:/usr/local/hugectr/lib:/var/jenkins_home/workspace/merlin_systems/systems
GLOB sdist-make: /var/jenkins_home/workspace/merlin_systems/systems/setup.py
test-gpu recreate: /var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu
test-gpu installdeps: pytest, pytest-cov
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu inst: /var/jenkins_home/workspace/merlin_systems/systems/.tox/.tmp/package/1/merlin-systems-0.7.0+22.g1ba691b.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==1.27.0,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==1.29.0,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==4.0.0,cloudpickle==2.2.0,cmaes==0.8.2,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.3,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+22.g1ba691b,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.3,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,rsa==4.7.2,s3fs==2022.2.0,s3transfer==0.6.0,sacremoses==0.0.53,scikit-build==0.15.0,scikit-learn==1.1.2,scipy==1.8.1,seedir==0.3.0,Send2Trash==1.8.0,sentry-sdk==1.9.8,setproctitle==1.3.2,setuptools-scm==7.0.5,shortuuid==1.0.9,six==1.15.0,sklearn==0.0,smmap==5.0.0,sniffio==1.3.0,snowballstemmer==2.2.0,sortedcontainers==2.4.0,soupsieve==2.3.2.post1,Sphinx==5.3.0,sphinx-multiversion==0.2.4,sphinx-togglebutton==0.3.1,sphinx_external_toc==0.3.0,sphinxcontrib-applehelp==1.0.2,sphinxcontrib-copydirs @ git+https://github.com/mikemckiernan/sphinxcontrib-copydirs.git@bd8c5d79b3f91cf5f1bb0d6995aeca3fe84b670e,sphinxcontrib-devhelp==1.0.2,sphinxcontrib-htmlhelp==2.0.0,sphinxcontrib-jsmath==1.0.1,sphinxcontrib-qthelp==1.0.3,sphinxcontrib-serializinghtml==1.1.5,SQLAlchemy==1.4.42,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.0,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='2268428366'
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-w7bfkogp
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-w7bfkogp
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 563be4bf5ef675940d5fff2b5e4666424a7f7947
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (0.55.1)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (3.19.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (21.3)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (1.2.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.8.0+5.g563be4b) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (1.10.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.3.5)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (2.2.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (1.0.4)
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==0.8.0+5.g563be4b) (1.7.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (8.1.3)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (6.1)
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==0.8.0+5.g563be4b) (5.8.0)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (2.0.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (3.1.2)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (2.4.0)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.8.0+5.g563be4b) (65.4.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (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==0.8.0+5.g563be4b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.8.0+5.g563be4b) (2.1.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.8.0+5.g563be4b) (4.0.0)
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Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.8.0+5.g563be4b-py3-none-any.whl size=118363 sha256=faf190b29647e6e6135e2addafc70e69ace1f37bed933733393b550e9dd5eb3a
  Stored in directory: /tmp/pip-ephem-wheel-cache-lt_b0juu/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_systems/systems/.tox/test-gpu
    Can't uninstall 'merlin-core'. No files were found to uninstall.
Successfully installed merlin-core-0.8.0+5.g563be4b
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[1] | python -m pip install .

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com

Processing /var/jenkins_home/workspace/merlin_systems/systems

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 merlin-systems==0.7.0+22.g1ba691b) (0.8.0+5.g563be4b)

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Building wheels for collected packages: merlin-systems

Building wheel for merlin-systems (pyproject.toml): started

Building wheel for merlin-systems (pyproject.toml): finished with status 'done'

Created wheel for merlin-systems: filename=merlin_systems-0.7.0+22.g1ba691b-py3-none-any.whl size=94212 sha256=441039160c3a5dca08d05e40dd61b7d6dec1be11b691539755815708370dc18d

Stored in directory: /tmp/pip-ephem-wheel-cache-jnfycm1l/wheels/20/f3/c7/f7c2f6c257e882a60cdd173901b8757359446cf94a453e0811

Successfully built merlin-systems

Installing collected packages: merlin-systems

Attempting uninstall: merlin-systems

Found existing installation: merlin-systems 0.7.0+22.g1ba691b

Uninstalling merlin-systems-0.7.0+22.g1ba691b:

Successfully uninstalled merlin-systems-0.7.0+22.g1ba691b

Successfully installed merlin-systems-0.7.0+22.g1ba691b
[notice] A new release of pip available: 22.2.2 -> 22.3

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

test-gpu run-test: commands[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_systems/systems, configfile: pytest.ini

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

collected 92 items
tests/unit/test_export.py .                                              [  1%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  2%]

.                                                                        [  3%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  4%]

[  4%]

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py . [  5%]

[  5%]

tests/unit/systems/dag/test_ensemble.py .                                [  6%]

tests/unit/systems/dag/test_executors.py ...                             [  9%]

tests/unit/systems/dag/test_graph.py ..                                  [ 11%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 14%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 18%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 20%]

tests/unit/systems/dag/runtimes/test_triton.py .....                     [ 26%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 27%]

tests/unit/systems/ops/feast/test_op.py .......                          [ 34%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 35%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 40%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 68%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 71%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 81%]

tests/unit/systems/ops/nvtabular/test_ensemble.py .                      [ 82%]

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 84%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 89%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 93%]

tests/unit/systems/ops/torch/test_op.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: 35 warnings

/var/jenkins_home/workspace/merlin_systems/systems/.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)
../../../.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18

/var/jenkins_home/.local/lib/python3.8/site-packages/nvtabular/framework_utils/init.py:18: DeprecationWarning: The nvtabular.framework_utils module is being replaced by the Merlin Models library. Support for importing from nvtabular.framework_utils is deprecated, and will be removed in a future version. Please consider using the models and layers from Merlin Models instead.

warnings.warn(
../../../../../usr/local/lib/python3.8/dist-packages/faiss/loader.py:28

/usr/local/lib/python3.8/dist-packages/faiss/loader.py:28: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.

if LooseVersion(numpy.version) >= "1.19":
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column x is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column y is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/test_export.py::test_export_run_ensemble_triton[tensorflow-parquet]

/var/jenkins_home/workspace/merlin_systems/systems/merlin/systems/triton/export.py:304: UserWarning: Column id is being generated by NVTabular workflow  but is unused in test_name_tf model

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.USER_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.USER: 'user'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

tests/unit/examples/test_serving_ranking_models_with_merlin_systems.py::test_example_04_exporting_ranking_models

/var/jenkins_home/workspace/merlin_systems/systems/.tox/test-gpu/lib/python3.8/site-packages/merlin/schema/tags.py:148: UserWarning: Compound tags like Tags.ITEM_ID have been deprecated and will be removed in a future version. Please use the atomic versions of these tags, like [<Tags.ITEM: 'item'>, <Tags.ID: 'id'>].

warnings.warn(
tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[1]

tests/unit/systems/ops/feast/test_op.py::test_feast_from_feature_view[2]

/usr/local/lib/python3.8/dist-packages/feast/feature_view.py:100: DeprecationWarning: The argument 'input' is being deprecated. Please use 'batch_source' instead. Feast 0.13 and onwards will not support the argument 'input'.

warnings.warn(
tests/unit/systems/ops/fil/test_forest.py::test_export_merlin_models

/usr/local/lib/python3.8/dist-packages/xgboost/dask.py:884: RuntimeWarning: coroutine 'Client._wait_for_workers' was never awaited

client.wait_for_workers(n_workers)

Enable tracemalloc to get traceback where the object was allocated.

See https://docs.pytest.org/en/stable/how-to/capture-warnings.html#resource-warnings for more info.
tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_default[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_binary_classifier_with_proba[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_multi_classifier[sklearn_forest_classifier-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_regressor[sklearn_forest_regressor-get_model_params4]

tests/unit/systems/ops/fil/test_op.py::test_model_file[sklearn_forest_regressor-checkpoint.tl]

/usr/local/lib/python3.8/dist-packages/sklearn/utils/deprecation.py:103: FutureWarning: Attribute n_features_ was deprecated in version 1.0 and will be removed in 1.2. Use n_features_in_ instead.

warnings.warn(msg, category=FutureWarning)
tests/unit/systems/ops/implicit/test_op.py::test_reload_from_config[AlternatingLeastSquares]

/usr/local/lib/python3.8/dist-packages/implicit/utils.py:28: UserWarning: OpenBLAS detected. Its highly recommend to set the environment variable 'export OPENBLAS_NUM_THREADS=1' to disable its internal multithreading

warnings.warn(
tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving[True-True]

tests/unit/systems/ops/torch/test_op.py::test_pytorch_op_serving_python[True-True]

/usr/local/lib/python3.8/dist-packages/torch/serialization.py:707: UserWarning: 'torch.load' received a zip file that looks like a TorchScript archive dispatching to 'torch.jit.load' (call 'torch.jit.load' directly to silence this warning)

warnings.warn("'torch.load' received a zip file that looks like a TorchScript archive"
-- 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/systems/init.py                                 6      0   100%

merlin/systems/_version.py                               354    205    42%

merlin/systems/dag/init.py                             3      0   100%

merlin/systems/dag/ensemble.py                            46      3    93%

merlin/systems/dag/node.py                                23      1    96%

merlin/systems/dag/op_runner.py                           26      1    96%

merlin/systems/dag/ops/init.py                        11      0   100%

merlin/systems/dag/ops/compat.py                          24      8    67%

merlin/systems/dag/ops/faiss.py                           77     23    70%

merlin/systems/dag/ops/feast.py                          126      7    94%

merlin/systems/dag/ops/fil.py                            223     34    85%

merlin/systems/dag/ops/implicit.py                        72     13    82%

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         89     12    87%

merlin/systems/dag/ops/session_filter.py                  45      7    84%

merlin/systems/dag/ops/softmax_sampling.py                51     17    67%

merlin/systems/dag/ops/tensorflow.py                      67      7    90%

merlin/systems/dag/ops/unroll_features.py                 50     50     0%

merlin/systems/dag/ops/workflow.py                        72     26    64%

merlin/systems/dag/runtimes/init.py                    1      0   100%

merlin/systems/dag/runtimes/base_runtime.py               11      2    82%

merlin/systems/dag/runtimes/triton/init.py             1      0   100%

merlin/systems/dag/runtimes/triton/ops/init.py         0      0   100%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      61     12    80%

merlin/systems/dag/runtimes/triton/runtime.py            140      9    94%

merlin/systems/model_registry.py                          16      1    94%

merlin/systems/triton/init.py                         49     17    65%

merlin/systems/triton/conversions.py                      87     73    16%

merlin/systems/triton/export.py                          268    155    42%

merlin/systems/triton/models/init.py                   0      0   100%

merlin/systems/triton/models/executor_model.py            41     41     0%

merlin/systems/triton/models/oprunner_model.py            41     41     0%

merlin/systems/triton/models/pytorch_model.py            104    104     0%

merlin/systems/triton/models/workflow_model.py            53     53     0%

merlin/systems/triton/utils.py                            72     14    81%

merlin/systems/workflow/init.py                       22      5    77%

merlin/systems/workflow/base.py                          113    113     0%

merlin/systems/workflow/hugectr.py                        37     37     0%

merlin/systems/workflow/pytorch.py                        10     10     0%

merlin/systems/workflow/tensorflow.py                     32     32     0%
TOTAL                                                   2614   1139    56%
================= 92 passed, 56 warnings in 1243.02s (0:20:43) =================

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

[merlin_systems] $ /bin/bash /tmp/jenkins941684702195027199.sh

oliverholworthy added the chore Maintenance for the repository label Oct 28, 2022

oliverholworthy added this to the Merlin 22.11 milestone Oct 28, 2022

oliverholworthy commented Oct 28, 2022

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tests/integration/t4r/test_pytorch_backend.py Outdated Show resolved Hide resolved

oliverholworthy commented Oct 28, 2022

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oliverholworthy added 11 commits November 2, 2022 14:56

Update Pytorch integration test based on schema changes in T4R

7ca293b

Revert change to pytorch op

c6df3b0

Remove shape coercion in pytorch test

1b1a187

Remove unused logging import

82cc927

Update input and output schema to get as property instead of method

3292762

Create request data with different sequence length to training

b9c9c86

Support converting data with ragged dim

a6b25ea

Replace use of shape for pytorch hack with triton_scalar_shape

6c275d3

Revert change to default scalar shape

d484ac4

Remove check of value count in compute_dims

5155bc8

Remove ServingAdapter from pytorch integration test

f9cd468

oliverholworthy force-pushed the pytorch-integration-schema branch from c4e4cc8 to f9cd468 Compare November 2, 2022 14:56

Restore use of value_count for fixed dim columns

1ba691b

Required for some tests (e.g. faiss with executor)

oliverholworthy marked this pull request as ready for review November 8, 2022 17:50

oliverholworthy added enhancement New feature or request and removed chore Maintenance for the repository labels Nov 8, 2022

oliverholworthy self-assigned this Nov 8, 2022

oliverholworthy requested a review from karlhigley November 8, 2022 17:51

karlhigley approved these changes Nov 8, 2022

View reviewed changes

karlhigley merged commit 05060fc into NVIDIA-Merlin:main Nov 8, 2022

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

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