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Remove use of hf_format and training params for PyTorch inference test #236

Merged
merged 3 commits into from
Dec 13, 2022
Merged

Remove use of hf_format and training params for PyTorch inference test #236

merged 3 commits into from
Dec 13, 2022

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oliverholworthy
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Following NVIDIA-Merlin/Transformers4Rec#543 , we can now remove the hf_format and training parameters from the PyTorch integration test. Since these are handled by default now at training/test time.

@oliverholworthy oliverholworthy added the chore Maintenance for the repository label Nov 28, 2022
@oliverholworthy oliverholworthy added this to the Merlin 22.12 milestone Nov 28, 2022
@oliverholworthy oliverholworthy self-assigned this Nov 28, 2022
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https://nvidia-merlin.github.io/systems/review/pr-236

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GitHub pull request #236 of commit 6827dfa3b38a931000abdaf33a9a695ea6224ea8, no merge conflicts.
Running as SYSTEM
Setting status of 6827dfa3b38a931000abdaf33a9a695ea6224ea8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_systems/534/ 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/236/*:refs/remotes/origin/pr/236/* # timeout=10
 > git rev-parse 6827dfa3b38a931000abdaf33a9a695ea6224ea8^{commit} # timeout=10
Checking out Revision 6827dfa3b38a931000abdaf33a9a695ea6224ea8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6827dfa3b38a931000abdaf33a9a695ea6224ea8 # timeout=10
Commit message: "Remove use of hf_format and training params for PyTorch inference"
 > git rev-list --no-walk 362c927b08ac259aaae2572a9ad63c2cf12d6abb # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins18165741090947910374.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/2/merlin-systems-0.7.0+22.g6827dfa.zip
WARNING: Discarding $PYTHONPATH from environment, to override specify PYTHONPATH in 'passenv' in your configuration.
test-gpu installed: absl-py==1.2.0,aiohttp==3.8.1,aiosignal==1.2.0,alabaster==0.7.12,alembic==1.8.1,anyio==3.6.1,argon2-cffi==21.3.0,argon2-cffi-bindings==21.2.0,astroid==2.5.6,asttokens==2.0.8,astunparse==1.6.3,asv==0.5.1,asvdb==0.4.2,async-timeout==4.0.2,attrs==22.1.0,autopage==0.5.1,awscli==1.27.17,Babel==2.10.3,backcall==0.2.0,beautifulsoup4==4.11.1,betterproto==1.2.5,black==22.6.0,bleach==5.0.1,boto3==1.24.75,botocore==1.29.17,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+22.g6827dfa,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==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='3701455292'
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-6qyn8ber
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-6qyn8ber
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (0.38.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (65.5.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=7cdd02d5ed719bb00f08050ecbffb7835ff8c81bd0745008f97050ee15391ca0
  Stored in directory: /tmp/pip-ephem-wheel-cache-5br0tlnr/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-0.9.0+13.g78f1f0b
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+22.g6827dfa-py3-none-any.whl size=137398 sha256=0b8f04a8198e552ec51d26b2f06163736545e5709667579d473012f03b775de3
  Stored in directory: /tmp/pip-ephem-wheel-cache-rgppxnet/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.g6827dfa
    Uninstalling merlin-systems-0.7.0+22.g6827dfa:
      Successfully uninstalled merlin-systems-0.7.0+22.g6827dfa
Successfully installed merlin-systems-0.7.0+22.g6827dfa
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 103 items

tests/unit/test_export.py .                                              [  0%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  1%]

.                                                                        [  2%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  3%]

[  3%]

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

[  4%]

tests/unit/systems/dag/test_ensemble.py .                                [  5%]

tests/unit/systems/dag/test_executors.py ...                             [  8%]

tests/unit/systems/dag/test_graph.py ..                                  [ 10%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 12%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 16%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 18%]

tests/unit/systems/dag/runtimes/triton/test_triton.py .....              [ 23%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py . [ 24%]

...                                                                      [ 27%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py FF [ 29%]

..                                                                       [ 31%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py .. [ 33%]

..                                                                       [ 34%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 35%]

tests/unit/systems/ops/feast/test_op.py ......                           [ 41%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 42%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 46%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 71%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 74%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 83%]

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

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 86%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 90%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 94%]

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


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

____ test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model] _____


runtime = <merlin.systems.dag.runtimes.triton.runtime.TritonEnsembleRuntime object at 0x7f5328e4f0a0>

model_name = None, expected_model_name = 'ensemble_model'

tmpdir = local('/tmp/pytest-of-jenkins/pytest-0/test_sklearn_regressor_forest_0')


@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize(
    ["runtime", "model_name", "expected_model_name"],
    [
        (TritonEnsembleRuntime(), None, "ensemble_model"),
        (TritonExecutorRuntime(), None, "executor_model"),
    ],
)
def test_sklearn_regressor_forest_inference(runtime, model_name, expected_model_name, tmpdir):
    rows = 200
    num_features = 16
    X, y = sklearn_datasets.make_regression(
        n_samples=rows,
        n_features=num_features,
        n_informative=num_features // 3,
        random_state=0,
    )
    feature_names = [str(i) for i in range(num_features)]
    df = pd.DataFrame(X, columns=feature_names, dtype=np.float32)
    for column in df.columns:
        df[column] = np.log(df[column] + 1).fillna(0.5)

    # Fit GBDT Model
    model = sklearn_ensemble.RandomForestRegressor()
    model.fit(X, y)

    input_column_schemas = [ColumnSchema(col, dtype=np.float32) for col in feature_names]
    input_schema = Schema(input_column_schemas)
    selector = ColumnSelector(feature_names)

    triton_chain = selector >> PredictForest(model, input_schema)

    ensemble = Ensemble(triton_chain, input_schema)

    request_df = df[:5]

    response = None
    ensemble_config, _ = ensemble.export(tmpdir, runtime=runtime, name=model_name)
    assert ensemble_config.name == expected_model_name





  response = run_ensemble_on_tritonserver(





        str(tmpdir), input_schema, request_df, ["output__0"], ensemble_config.name
    )



tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py:62:




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 = '/tmp/pytest-of-jenkins/pytest-0/test_sklearn_regressor_forest_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 -----------------------------

I1128 10:37:49.830553 11043 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f4da6000000' with size 268435456

I1128 10:37:49.831371 11043 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1128 10:37:49.835609 11043 model_lifecycle.cc:459] loading: 0_filtriton:1

I1128 10:37:49.835653 11043 model_lifecycle.cc:459] loading: 0_predictforesttriton:1

I1128 10:37:49.857144 11043 initialize.hpp:43] TRITONBACKEND_Initialize: fil

I1128 10:37:49.857175 11043 backend.hpp:47] Triton TRITONBACKEND API version: 1.10

I1128 10:37:49.857182 11043 backend.hpp:52] 'fil' TRITONBACKEND API version: 1.10

I1128 10:37:49.857758 11043 model_initialize.hpp:37] TRITONBACKEND_ModelInitialize: 0_filtriton (version 1)

I1128 10:37:49.862542 11043 instance_initialize.hpp:46] TRITONBACKEND_ModelInstanceInitialize: 0_filtriton_0 (GPU device 0)

I1128 10:37:49.963727 11043 model_finalize.hpp:36] TRITONBACKEND_ModelFinalize: delete model state

E1128 10:37:49.963791 11043 model_lifecycle.cc:596] failed to load '0_filtriton' version 1: Internal: Failed to allocate CUDA memory with byte size 104856800 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY

/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 "

I1128 10:37:58.083784 11043 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_predictforesttriton (GPU device 0)

I1128 10:38:04.247644 11043 model_lifecycle.cc:693] successfully loaded '0_predictforesttriton' version 1

I1128 10:38:04.248014 11043 model_lifecycle.cc:459] loading: ensemble_model:1

I1128 10:38:04.248462 11043 model_lifecycle.cc:693] successfully loaded 'ensemble_model' version 1

I1128 10:38:04.248583 11043 server.cc:561]

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

| Repository Agent | Path |

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

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


I1128 10:38:04.248680 11043 server.cc:588]

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

| Backend | Path                                                  | Config                                                                                                                                                        |

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

| fil     | /opt/tritonserver/backends/fil/libtriton_fil.so       | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","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"}} |

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


I1128 10:38:04.248783 11043 server.cc:631]

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

| Model                 | Version | Status                                                                                                              |

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

| 0_filtriton           | 1       | UNAVAILABLE: Internal: Failed to allocate CUDA memory with byte size 104856800 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY |

| 0_predictforesttriton | 1       | READY                                                                                                               |

| ensemble_model        | 1       | READY                                                                                                               |

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


I1128 10:38:04.312090 11043 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1128 10:38:04.312963 11043 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-0/test_sklearn_regressor_forest_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                                                                                                                                                                                           |

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


I1128 10:38:04.312999 11043 server.cc:262] Waiting for in-flight requests to complete.

I1128 10:38:04.313008 11043 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1128 10:38:04.313110 11043 server.cc:293] All models are stopped, unloading models

I1128 10:38:04.313120 11043 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1128 10:38:04.313250 11043 model_lifecycle.cc:578] successfully unloaded 'ensemble_model' version 1

I1128 10:38:05.313204 11043 server.cc:300] Timeout 29: Found 1 live models and 0 in-flight non-inference requests

W1128 10:38:05.335883 11043 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 "

I1128 10:38:06.214800 11043 model_lifecycle.cc:578] successfully unloaded '0_predictforesttriton' version 1

I1128 10:38:06.313335 11043 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

W1128 10:38:06.336126 11043 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

____ test_sklearn_regressor_forest_inference[runtime1-None-executor_model] _____


runtime = <merlin.systems.dag.runtimes.triton.runtime.TritonExecutorRuntime object at 0x7f5328e4f4f0>

model_name = None, expected_model_name = 'executor_model'

tmpdir = local('/tmp/pytest-of-jenkins/pytest-0/test_sklearn_regressor_forest_1')


@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize(
    ["runtime", "model_name", "expected_model_name"],
    [
        (TritonEnsembleRuntime(), None, "ensemble_model"),
        (TritonExecutorRuntime(), None, "executor_model"),
    ],
)
def test_sklearn_regressor_forest_inference(runtime, model_name, expected_model_name, tmpdir):
    rows = 200
    num_features = 16
    X, y = sklearn_datasets.make_regression(
        n_samples=rows,
        n_features=num_features,
        n_informative=num_features // 3,
        random_state=0,
    )
    feature_names = [str(i) for i in range(num_features)]
    df = pd.DataFrame(X, columns=feature_names, dtype=np.float32)
    for column in df.columns:
        df[column] = np.log(df[column] + 1).fillna(0.5)

    # Fit GBDT Model
    model = sklearn_ensemble.RandomForestRegressor()
    model.fit(X, y)

    input_column_schemas = [ColumnSchema(col, dtype=np.float32) for col in feature_names]
    input_schema = Schema(input_column_schemas)
    selector = ColumnSelector(feature_names)

    triton_chain = selector >> PredictForest(model, input_schema)

    ensemble = Ensemble(triton_chain, input_schema)

    request_df = df[:5]

    response = None
    ensemble_config, _ = ensemble.export(tmpdir, runtime=runtime, name=model_name)
    assert ensemble_config.name == expected_model_name





  response = run_ensemble_on_tritonserver(





        str(tmpdir), input_schema, request_df, ["output__0"], ensemble_config.name
    )



tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py:62:




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 = '/tmp/pytest-of-jenkins/pytest-0/test_sklearn_regressor_forest_1'


@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 -----------------------------

I1128 10:38:08.775477 11284 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7fe9b4000000' with size 268435456

I1128 10:38:08.776253 11284 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1128 10:38:08.781035 11284 model_lifecycle.cc:459] loading: executor_model:1

I1128 10:38:08.781080 11284 model_lifecycle.cc:459] loading: 0_filtriton:1

I1128 10:38:08.781114 11284 model_lifecycle.cc:459] loading: 0_predictforesttriton: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 "

I1128 10:38:16.941963 11284 initialize.hpp:43] TRITONBACKEND_Initialize: fil

I1128 10:38:16.941994 11284 backend.hpp:47] Triton TRITONBACKEND API version: 1.10

I1128 10:38:16.942001 11284 backend.hpp:52] 'fil' TRITONBACKEND API version: 1.10

I1128 10:38:16.942568 11284 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

I1128 10:38:23.136668 11284 model_initialize.hpp:37] TRITONBACKEND_ModelInitialize: 0_filtriton (version 1)

I1128 10:38:23.138087 11284 model_lifecycle.cc:693] successfully loaded 'executor_model' version 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 "

I1128 10:38:31.295592 11284 instance_initialize.hpp:46] TRITONBACKEND_ModelInstanceInitialize: 0_filtriton_0 (GPU device 0)

I1128 10:38:31.411409 11284 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_predictforesttriton (GPU device 0)

I1128 10:38:31.411439 11284 model_finalize.hpp:36] TRITONBACKEND_ModelFinalize: delete model state

E1128 10:38:31.411504 11284 model_lifecycle.cc:596] failed to load '0_filtriton' version 1: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY

I1128 10:38:37.652257 11284 model_lifecycle.cc:693] successfully loaded '0_predictforesttriton' version 1

I1128 10:38:37.652434 11284 server.cc:561]

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

| Repository Agent | Path |

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

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


I1128 10:38:37.652539 11284 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"}} |

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

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


I1128 10:38:37.652621 11284 server.cc:631]

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

| Model                 | Version | Status                                                                                                              |

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

| 0_filtriton           | 1       | UNAVAILABLE: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY |

| 0_predictforesttriton | 1       | READY                                                                                                               |

| executor_model        | 1       | READY                                                                                                               |

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


I1128 10:38:37.717373 11284 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1128 10:38:37.718227 11284 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-0/test_sklearn_regressor_forest_1                                                                                                                              |

| 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                                                                                                                                                                                           |

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


I1128 10:38:37.718262 11284 server.cc:262] Waiting for in-flight requests to complete.

I1128 10:38:37.718271 11284 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1128 10:38:37.718362 11284 server.cc:293] All models are stopped, unloading models

I1128 10:38:37.718372 11284 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1128 10:38:38.718458 11284 server.cc:300] Timeout 29: Found 2 live models and 0 in-flight non-inference requests

/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 "

W1128 10:38:38.743028 11284 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 "

I1128 10:38:39.561248 11284 model_lifecycle.cc:578] successfully unloaded 'executor_model' version 1

I1128 10:38:39.596478 11284 model_lifecycle.cc:578] successfully unloaded '0_predictforesttriton' version 1

I1128 10:38:39.718549 11284 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

W1128 10:38:39.743229 11284 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

=============================== 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/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py: 4 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: invalid value encountered in log

result = getattr(ufunc, method)(*inputs, **kwargs)


tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime1-None-executor_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime1-None-executor_model]

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/feast/test_op.py::test_feast_from_feature_view

/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/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                             4      0   100%

merlin/systems/dag/dictarray.py                          122     38    69%

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                          32      8    75%

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

merlin/systems/dag/ops/feast.py                          118      7    94%

merlin/systems/dag/ops/fil.py                            211     56    73%

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

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         82      5    94%

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                        65     19    71%

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/fil.py             95     13    86%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      53      5    91%

merlin/systems/dag/runtimes/triton/runtime.py            145      9    94%

merlin/systems/model_registry.py                          16      1    94%

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

merlin/systems/triton/conversions.py                     143    120    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            35     35     0%

merlin/systems/triton/models/oprunner_model.py            33     33     0%

merlin/systems/triton/models/pytorch_model.py            105    105     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                                                   2846   1223    57%


=========== 2 failed, 101 passed, 71 warnings in 1746.85s (0:29:06) ============

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/jenkins1522782830297138837.sh

@oliverholworthy
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rerun tests

@nvidia-merlin-bot
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Click to view CI Results
GitHub pull request #236 of commit 6827dfa3b38a931000abdaf33a9a695ea6224ea8, no merge conflicts.
Running as SYSTEM
Setting status of 6827dfa3b38a931000abdaf33a9a695ea6224ea8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_systems/535/ 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/236/*:refs/remotes/origin/pr/236/* # timeout=10
 > git rev-parse 6827dfa3b38a931000abdaf33a9a695ea6224ea8^{commit} # timeout=10
Checking out Revision 6827dfa3b38a931000abdaf33a9a695ea6224ea8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6827dfa3b38a931000abdaf33a9a695ea6224ea8 # timeout=10
Commit message: "Remove use of hf_format and training params for PyTorch inference"
 > git rev-list --no-walk 6827dfa3b38a931000abdaf33a9a695ea6224ea8 # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins15847707031687824757.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/2/merlin-systems-0.7.0+22.g6827dfa.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==1.27.18,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==1.29.18,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+22.g6827dfa,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==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1199509944'
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-t4l4fzv2
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-t4l4fzv2
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (3.1.2)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: tornado>=6.0.3 in /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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.4)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (1.20.3)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.0.0)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=3bd4bb6210c8edce53001b70640b9e6e01e8bd109904857d00b917613670a9ee
  Stored in directory: /tmp/pip-ephem-wheel-cache-98a3doz3/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-0.9.0+13.g78f1f0b
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+22.g6827dfa-py3-none-any.whl size=137398 sha256=a260bb61fdc04550871afa104fcfa9c9f9004125b82b5875132760a51ff5cc8a
  Stored in directory: /tmp/pip-ephem-wheel-cache-7n9arzsm/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.g6827dfa
    Uninstalling merlin-systems-0.7.0+22.g6827dfa:
      Successfully uninstalled merlin-systems-0.7.0+22.g6827dfa
Successfully installed merlin-systems-0.7.0+22.g6827dfa
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 103 items

tests/unit/test_export.py .                                              [  0%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  1%]

.                                                                        [  2%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  3%]

[  3%]

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

[  4%]

tests/unit/systems/dag/test_ensemble.py .                                [  5%]

tests/unit/systems/dag/test_executors.py ...                             [  8%]

tests/unit/systems/dag/test_graph.py ..                                  [ 10%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 12%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 16%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 18%]

tests/unit/systems/dag/runtimes/triton/test_triton.py .....              [ 23%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py . [ 24%]

...                                                                      [ 27%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py .F [ 29%]

..                                                                       [ 31%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py .. [ 33%]

..                                                                       [ 34%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 35%]

tests/unit/systems/ops/feast/test_op.py ......                           [ 41%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 42%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 46%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 71%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 74%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 83%]

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

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 86%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 90%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 94%]

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


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

____ test_sklearn_regressor_forest_inference[runtime1-None-executor_model] _____


runtime = <merlin.systems.dag.runtimes.triton.runtime.TritonExecutorRuntime object at 0x7f83fe84b610>

model_name = None, expected_model_name = 'executor_model'

tmpdir = local('/tmp/pytest-of-jenkins/pytest-2/test_sklearn_regressor_forest_1')


@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize(
    ["runtime", "model_name", "expected_model_name"],
    [
        (TritonEnsembleRuntime(), None, "ensemble_model"),
        (TritonExecutorRuntime(), None, "executor_model"),
    ],
)
def test_sklearn_regressor_forest_inference(runtime, model_name, expected_model_name, tmpdir):
    rows = 200
    num_features = 16
    X, y = sklearn_datasets.make_regression(
        n_samples=rows,
        n_features=num_features,
        n_informative=num_features // 3,
        random_state=0,
    )
    feature_names = [str(i) for i in range(num_features)]
    df = pd.DataFrame(X, columns=feature_names, dtype=np.float32)
    for column in df.columns:
        df[column] = np.log(df[column] + 1).fillna(0.5)

    # Fit GBDT Model
    model = sklearn_ensemble.RandomForestRegressor()
    model.fit(X, y)

    input_column_schemas = [ColumnSchema(col, dtype=np.float32) for col in feature_names]
    input_schema = Schema(input_column_schemas)
    selector = ColumnSelector(feature_names)

    triton_chain = selector >> PredictForest(model, input_schema)

    ensemble = Ensemble(triton_chain, input_schema)

    request_df = df[:5]

    response = None
    ensemble_config, _ = ensemble.export(tmpdir, runtime=runtime, name=model_name)
    assert ensemble_config.name == expected_model_name





  response = run_ensemble_on_tritonserver(





        str(tmpdir), input_schema, request_df, ["output__0"], ensemble_config.name
    )



tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py:62:




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 = '/tmp/pytest-of-jenkins/pytest-2/test_sklearn_regressor_forest_1'


@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 -----------------------------

I1129 15:31:33.880792 26558 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f3cf6000000' with size 268435456

I1129 15:31:33.881558 26558 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1129 15:31:33.886273 26558 model_lifecycle.cc:459] loading: executor_model:1

I1129 15:31:33.886317 26558 model_lifecycle.cc:459] loading: 0_filtriton:1

I1129 15:31:33.886350 26558 model_lifecycle.cc:459] loading: 0_predictforesttriton: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 "

I1129 15:31:42.012572 26558 initialize.hpp:43] TRITONBACKEND_Initialize: fil

I1129 15:31:42.012608 26558 backend.hpp:47] Triton TRITONBACKEND API version: 1.10

I1129 15:31:42.012614 26558 backend.hpp:52] 'fil' TRITONBACKEND API version: 1.10

I1129 15:31:42.013189 26558 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_predictforesttriton (GPU device 0)

I1129 15:31:48.080561 26558 model_initialize.hpp:37] TRITONBACKEND_ModelInitialize: 0_filtriton (version 1)

I1129 15:31:48.083093 26558 model_lifecycle.cc:693] successfully loaded '0_predictforesttriton' version 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 "

I1129 15:31:56.191272 26558 instance_initialize.hpp:46] TRITONBACKEND_ModelInstanceInitialize: 0_filtriton_0 (GPU device 0)

I1129 15:31:56.311065 26558 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

I1129 15:31:56.311088 26558 model_finalize.hpp:36] TRITONBACKEND_ModelFinalize: delete model state

E1129 15:31:56.311151 26558 model_lifecycle.cc:596] failed to load '0_filtriton' version 1: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY

I1129 15:32:02.400276 26558 model_lifecycle.cc:693] successfully loaded 'executor_model' version 1

I1129 15:32:02.400421 26558 server.cc:561]

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

| Repository Agent | Path |

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

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


I1129 15:32:02.400481 26558 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"}} |

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

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


I1129 15:32:02.400523 26558 server.cc:631]

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

| Model                 | Version | Status                                                                                                              |

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

| 0_filtriton           | 1       | UNAVAILABLE: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY |

| 0_predictforesttriton | 1       | READY                                                                                                               |

| executor_model        | 1       | READY                                                                                                               |

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


I1129 15:32:02.458840 26558 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1129 15:32:02.459668 26558 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-2/test_sklearn_regressor_forest_1                                                                                                                              |

| 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                                                                                                                                                                                           |

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


I1129 15:32:02.459703 26558 server.cc:262] Waiting for in-flight requests to complete.

I1129 15:32:02.459711 26558 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1129 15:32:02.459814 26558 server.cc:293] All models are stopped, unloading models

I1129 15:32:02.459824 26558 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1129 15:32:03.459908 26558 server.cc:300] Timeout 29: Found 2 live models and 0 in-flight non-inference requests

W1129 15:32:03.478935 26558 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 "

/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 "

I1129 15:32:04.304815 26558 model_lifecycle.cc:578] successfully unloaded '0_predictforesttriton' version 1

I1129 15:32:04.460042 26558 server.cc:300] Timeout 28: Found 1 live models and 0 in-flight non-inference requests

I1129 15:32:04.464252 26558 model_lifecycle.cc:578] successfully unloaded 'executor_model' version 1

W1129 15:32:04.479128 26558 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1129 15:32:05.460170 26558 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

W1129 15:32:05.498190 26558 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

=============================== 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/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py: 4 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: invalid value encountered in log

result = getattr(ufunc, method)(*inputs, **kwargs)


tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime1-None-executor_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime1-None-executor_model]

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/feast/test_op.py::test_feast_from_feature_view

/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/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                             4      0   100%

merlin/systems/dag/dictarray.py                          122     38    69%

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                          32      8    75%

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

merlin/systems/dag/ops/feast.py                          118      7    94%

merlin/systems/dag/ops/fil.py                            211     56    73%

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

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         82      5    94%

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                        65     19    71%

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/fil.py             95     13    86%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      53      5    91%

merlin/systems/dag/runtimes/triton/runtime.py            145      9    94%

merlin/systems/model_registry.py                          16      1    94%

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

merlin/systems/triton/conversions.py                     143    120    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            35     35     0%

merlin/systems/triton/models/oprunner_model.py            33     33     0%

merlin/systems/triton/models/pytorch_model.py            105    105     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                                                   2846   1223    57%


=========== 1 failed, 102 passed, 71 warnings in 1546.36s (0:25:46) ============

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/jenkins2714482682756355077.sh

@oliverholworthy
Copy link
Member Author

rerun tests

@nvidia-merlin-bot
Copy link

Click to view CI Results
GitHub pull request #236 of commit 6827dfa3b38a931000abdaf33a9a695ea6224ea8, no merge conflicts.
Running as SYSTEM
Setting status of 6827dfa3b38a931000abdaf33a9a695ea6224ea8 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_systems/540/ 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/236/*:refs/remotes/origin/pr/236/* # timeout=10
 > git rev-parse 6827dfa3b38a931000abdaf33a9a695ea6224ea8^{commit} # timeout=10
Checking out Revision 6827dfa3b38a931000abdaf33a9a695ea6224ea8 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 6827dfa3b38a931000abdaf33a9a695ea6224ea8 # timeout=10
Commit message: "Remove use of hf_format and training params for PyTorch inference"
 > git rev-list --no-walk 9537470b33e18db1cde51e9a3142768c646d7082 # timeout=10
[merlin_systems] $ /bin/bash /tmp/jenkins15906776567444306663.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/2/merlin-systems-0.7.0+22.g6827dfa.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==1.27.19,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==1.29.19,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+22.g6827dfa,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==1.4.44,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1656550249'
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-2zsnxud4
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-2zsnxud4
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit 78f1f0b0952fd14b76913b0dd258565c06694abe
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.5.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (2022.3.0)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.10.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (21.3)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (4.64.1)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (0.55.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.3.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+13.g78f1f0b) (1.2.5)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.12.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.4.1)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.4.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (5.8.0)
Requirement already satisfied: 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==0.9.0+13.g78f1f0b) (6.1)
Requirement already satisfied: zict>=0.1.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/zict-2.0.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (2.0.0)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (8.1.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (1.7.0)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (1.20.3)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (65.5.1)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+13.g78f1f0b) (0.38.1)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+13.g78f1f0b) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2.8.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (2022.2.1)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.2.0)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.52.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+13.g78f1f0b) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (1.0.1)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.2)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (4.1.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2->distributed>=2022.3.0->merlin-core==0.9.0+13.g78f1f0b) (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==0.9.0+13.g78f1f0b) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+13.g78f1f0b) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+13.g78f1f0b-py3-none-any.whl size=118889 sha256=cd92182268ac0eae0449bfbc8bfd31bb84e6aa75ba7b2ffc10bec26d81f7721d
  Stored in directory: /tmp/pip-ephem-wheel-cache-77gg352c/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-0.9.0+13.g78f1f0b
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: treelite==2.4.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+22.g6827dfa) (2.4.0)
Requirement already satisfied: treelite-runtime==2.4.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+22.g6827dfa) (2.4.0)
Requirement already satisfied: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+22.g6827dfa) (2.22.0)
Requirement already satisfied: merlin-core>=0.2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+22.g6827dfa) (0.9.0+13.g78f1f0b)
Requirement already satisfied: nvtabular>=1.0.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-systems==0.7.0+22.g6827dfa) (1.1.1)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+22.g6827dfa) (1.8.1)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+22.g6827dfa) (1.20.3)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+22.g6827dfa) (3.19.5)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+22.g6827dfa) (7.0.0)
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+22.g6827dfa) (2022.3.0)
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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.g6827dfa-py3-none-any.whl size=139605 sha256=cbf469c17e5ea085b4e6420f0af4d65727e75659eff42ede02a2ac5fd065c29d
  Stored in directory: /tmp/pip-ephem-wheel-cache-fexpldy8/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.g6827dfa
    Uninstalling merlin-systems-0.7.0+22.g6827dfa:
      Successfully uninstalled merlin-systems-0.7.0+22.g6827dfa
Successfully installed merlin-systems-0.7.0+22.g6827dfa
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 103 items

tests/unit/test_export.py .                                              [  0%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  1%]

.                                                                        [  2%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  3%]

[  3%]

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

[  4%]

tests/unit/systems/dag/test_ensemble.py .                                [  5%]

tests/unit/systems/dag/test_executors.py ...                             [  8%]

tests/unit/systems/dag/test_graph.py ..                                  [ 10%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 12%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 16%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 18%]

tests/unit/systems/dag/runtimes/triton/test_triton.py .....              [ 23%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py . [ 24%]

...                                                                      [ 27%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py FF [ 29%]

..                                                                       [ 31%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py .. [ 33%]

..                                                                       [ 34%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 35%]

tests/unit/systems/ops/feast/test_op.py ......                           [ 41%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 42%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 46%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 71%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 74%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 83%]

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

tests/unit/systems/ops/nvtabular/test_op.py ..                           [ 86%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 90%]

tests/unit/systems/ops/tf/test_op.py ....                                [ 94%]

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


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

____ test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model] _____


runtime = <merlin.systems.dag.runtimes.triton.runtime.TritonEnsembleRuntime object at 0x7f0dd90091c0>

model_name = None, expected_model_name = 'ensemble_model'

tmpdir = local('/tmp/pytest-of-jenkins/pytest-3/test_sklearn_regressor_forest_0')


@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize(
    ["runtime", "model_name", "expected_model_name"],
    [
        (TritonEnsembleRuntime(), None, "ensemble_model"),
        (TritonExecutorRuntime(), None, "executor_model"),
    ],
)
def test_sklearn_regressor_forest_inference(runtime, model_name, expected_model_name, tmpdir):
    rows = 200
    num_features = 16
    X, y = sklearn_datasets.make_regression(
        n_samples=rows,
        n_features=num_features,
        n_informative=num_features // 3,
        random_state=0,
    )
    feature_names = [str(i) for i in range(num_features)]
    df = pd.DataFrame(X, columns=feature_names, dtype=np.float32)
    for column in df.columns:
        df[column] = np.log(df[column] + 1).fillna(0.5)

    # Fit GBDT Model
    model = sklearn_ensemble.RandomForestRegressor()
    model.fit(X, y)

    input_column_schemas = [ColumnSchema(col, dtype=np.float32) for col in feature_names]
    input_schema = Schema(input_column_schemas)
    selector = ColumnSelector(feature_names)

    triton_chain = selector >> PredictForest(model, input_schema)

    ensemble = Ensemble(triton_chain, input_schema)

    request_df = df[:5]

    response = None
    ensemble_config, _ = ensemble.export(tmpdir, runtime=runtime, name=model_name)
    assert ensemble_config.name == expected_model_name





  response = run_ensemble_on_tritonserver(





        str(tmpdir), input_schema, request_df, ["output__0"], ensemble_config.name
    )



tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py:62:




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 = '/tmp/pytest-of-jenkins/pytest-3/test_sklearn_regressor_forest_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 -----------------------------

I1130 14:14:21.426856 30390 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f9456000000' with size 268435456

I1130 14:14:21.427622 30390 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1130 14:14:21.431834 30390 model_lifecycle.cc:459] loading: 0_filtriton:1

I1130 14:14:21.431878 30390 model_lifecycle.cc:459] loading: 0_predictforesttriton:1

I1130 14:14:21.451729 30390 initialize.hpp:43] TRITONBACKEND_Initialize: fil

I1130 14:14:21.451754 30390 backend.hpp:47] Triton TRITONBACKEND API version: 1.10

I1130 14:14:21.451761 30390 backend.hpp:52] 'fil' TRITONBACKEND API version: 1.10

I1130 14:14:21.452341 30390 model_initialize.hpp:37] TRITONBACKEND_ModelInitialize: 0_filtriton (version 1)

I1130 14:14:21.457080 30390 instance_initialize.hpp:46] TRITONBACKEND_ModelInstanceInitialize: 0_filtriton_0 (GPU device 0)

I1130 14:14:21.606355 30390 model_finalize.hpp:36] TRITONBACKEND_ModelFinalize: delete model state

E1130 14:14:21.606410 30390 model_lifecycle.cc:596] failed to load '0_filtriton' version 1: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY

/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 "

I1130 14:14:29.718192 30390 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_predictforesttriton (GPU device 0)

I1130 14:14:35.823420 30390 model_lifecycle.cc:693] successfully loaded '0_predictforesttriton' version 1

I1130 14:14:35.823785 30390 model_lifecycle.cc:459] loading: ensemble_model:1

I1130 14:14:35.824203 30390 model_lifecycle.cc:693] successfully loaded 'ensemble_model' version 1

I1130 14:14:35.824318 30390 server.cc:561]

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

| Repository Agent | Path |

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

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


I1130 14:14:35.824416 30390 server.cc:588]

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

| Backend | Path                                                  | Config                                                                                                                                                        |

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

| fil     | /opt/tritonserver/backends/fil/libtriton_fil.so       | {"cmdline":{"auto-complete-config":"true","min-compute-capability":"6.000000","backend-directory":"/opt/tritonserver/backends","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"}} |

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


I1130 14:14:35.824510 30390 server.cc:631]

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

| Model                 | Version | Status                                                                                                              |

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

| 0_filtriton           | 1       | UNAVAILABLE: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY |

| 0_predictforesttriton | 1       | READY                                                                                                               |

| ensemble_model        | 1       | READY                                                                                                               |

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


I1130 14:14:35.888105 30390 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1130 14:14:35.888984 30390 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-3/test_sklearn_regressor_forest_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                                                                                                                                                                                           |

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


I1130 14:14:35.889020 30390 server.cc:262] Waiting for in-flight requests to complete.

I1130 14:14:35.889029 30390 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1130 14:14:35.889138 30390 server.cc:293] All models are stopped, unloading models

I1130 14:14:35.889149 30390 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1130 14:14:35.889259 30390 model_lifecycle.cc:578] successfully unloaded 'ensemble_model' version 1

I1130 14:14:36.889236 30390 server.cc:300] Timeout 29: Found 1 live models and 0 in-flight non-inference requests

W1130 14:14:36.905934 30390 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 "

I1130 14:14:37.833572 30390 model_lifecycle.cc:578] successfully unloaded '0_predictforesttriton' version 1

I1130 14:14:37.889369 30390 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

W1130 14:14:37.906109 30390 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

____ test_sklearn_regressor_forest_inference[runtime1-None-executor_model] _____


runtime = <merlin.systems.dag.runtimes.triton.runtime.TritonExecutorRuntime object at 0x7f0dd9009610>

model_name = None, expected_model_name = 'executor_model'

tmpdir = local('/tmp/pytest-of-jenkins/pytest-3/test_sklearn_regressor_forest_1')


@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize(
    ["runtime", "model_name", "expected_model_name"],
    [
        (TritonEnsembleRuntime(), None, "ensemble_model"),
        (TritonExecutorRuntime(), None, "executor_model"),
    ],
)
def test_sklearn_regressor_forest_inference(runtime, model_name, expected_model_name, tmpdir):
    rows = 200
    num_features = 16
    X, y = sklearn_datasets.make_regression(
        n_samples=rows,
        n_features=num_features,
        n_informative=num_features // 3,
        random_state=0,
    )
    feature_names = [str(i) for i in range(num_features)]
    df = pd.DataFrame(X, columns=feature_names, dtype=np.float32)
    for column in df.columns:
        df[column] = np.log(df[column] + 1).fillna(0.5)

    # Fit GBDT Model
    model = sklearn_ensemble.RandomForestRegressor()
    model.fit(X, y)

    input_column_schemas = [ColumnSchema(col, dtype=np.float32) for col in feature_names]
    input_schema = Schema(input_column_schemas)
    selector = ColumnSelector(feature_names)

    triton_chain = selector >> PredictForest(model, input_schema)

    ensemble = Ensemble(triton_chain, input_schema)

    request_df = df[:5]

    response = None
    ensemble_config, _ = ensemble.export(tmpdir, runtime=runtime, name=model_name)
    assert ensemble_config.name == expected_model_name





  response = run_ensemble_on_tritonserver(





        str(tmpdir), input_schema, request_df, ["output__0"], ensemble_config.name
    )



tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py:62:




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 = '/tmp/pytest-of-jenkins/pytest-3/test_sklearn_regressor_forest_1'


@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 -----------------------------

I1130 14:14:40.372560 30566 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f7bfe000000' with size 268435456

I1130 14:14:40.373307 30566 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 67108864

I1130 14:14:40.377844 30566 model_lifecycle.cc:459] loading: executor_model:1

I1130 14:14:40.377886 30566 model_lifecycle.cc:459] loading: 0_filtriton:1

I1130 14:14:40.377916 30566 model_lifecycle.cc:459] loading: 0_predictforesttriton: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 "

I1130 14:14:48.506356 30566 initialize.hpp:43] TRITONBACKEND_Initialize: fil

I1130 14:14:48.506387 30566 backend.hpp:47] Triton TRITONBACKEND API version: 1.10

I1130 14:14:48.506393 30566 backend.hpp:52] 'fil' TRITONBACKEND API version: 1.10

I1130 14:14:48.506975 30566 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: executor_model (GPU device 0)

I1130 14:14:54.687104 30566 model_initialize.hpp:37] TRITONBACKEND_ModelInitialize: 0_filtriton (version 1)

I1130 14:14:54.687430 30566 model_lifecycle.cc:693] successfully loaded 'executor_model' version 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 "

I1130 14:15:02.788907 30566 instance_initialize.hpp:46] TRITONBACKEND_ModelInstanceInitialize: 0_filtriton_0 (GPU device 0)

I1130 14:15:02.907029 30566 python_be.cc:1767] TRITONBACKEND_ModelInstanceInitialize: 0_predictforesttriton (GPU device 0)

I1130 14:15:02.907046 30566 model_finalize.hpp:36] TRITONBACKEND_ModelFinalize: delete model state

E1130 14:15:02.907111 30566 model_lifecycle.cc:596] failed to load '0_filtriton' version 1: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY

I1130 14:15:08.955884 30566 model_lifecycle.cc:693] successfully loaded '0_predictforesttriton' version 1

I1130 14:15:08.956100 30566 server.cc:561]

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

| Repository Agent | Path |

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

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


I1130 14:15:08.956223 30566 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"}} |

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

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


I1130 14:15:08.956318 30566 server.cc:631]

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

| Model                 | Version | Status                                                                                                              |

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

| 0_filtriton           | 1       | UNAVAILABLE: Internal: Failed to allocate CUDA memory with byte size 209714400 on GPU 0: CNMEM_STATUS_OUT_OF_MEMORY |

| 0_predictforesttriton | 1       | READY                                                                                                               |

| executor_model        | 1       | READY                                                                                                               |

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


I1130 14:15:09.019998 30566 metrics.cc:650] Collecting metrics for GPU 0: Tesla P100-DGXS-16GB

I1130 14:15:09.020905 30566 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-3/test_sklearn_regressor_forest_1                                                                                                                              |

| 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                                                                                                                                                                                           |

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


I1130 14:15:09.020941 30566 server.cc:262] Waiting for in-flight requests to complete.

I1130 14:15:09.020951 30566 server.cc:278] Timeout 30: Found 0 model versions that have in-flight inferences

I1130 14:15:09.021033 30566 server.cc:293] All models are stopped, unloading models

I1130 14:15:09.021043 30566 server.cc:300] Timeout 30: Found 2 live models and 0 in-flight non-inference requests

I1130 14:15:10.021128 30566 server.cc:300] Timeout 29: Found 2 live models and 0 in-flight non-inference requests

W1130 14:15:10.039073 30566 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 "

/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 "

I1130 14:15:11.021254 30566 server.cc:300] Timeout 28: Found 2 live models and 0 in-flight non-inference requests

W1130 14:15:11.039277 30566 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

I1130 14:15:11.066278 30566 model_lifecycle.cc:578] successfully unloaded '0_predictforesttriton' version 1

I1130 14:15:11.118111 30566 model_lifecycle.cc:578] successfully unloaded 'executor_model' version 1

I1130 14:15:12.021392 30566 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

W1130 14:15:12.057770 30566 metrics.cc:468] Unable to get energy consumption for GPU 0. Status:Success, value:0

=============================== 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/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py: 4 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: invalid value encountered in log

result = getattr(ufunc, method)(*inputs, **kwargs)


tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime1-None-executor_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime1-None-executor_model]

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/feast/test_op.py::test_feast_from_feature_view

/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/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                             4      0   100%

merlin/systems/dag/dictarray.py                          122     38    69%

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                          32      8    75%

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

merlin/systems/dag/ops/feast.py                          118      7    94%

merlin/systems/dag/ops/fil.py                            211     56    73%

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

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         82      5    94%

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                        65     19    71%

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/fil.py             95     13    86%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      53      5    91%

merlin/systems/dag/runtimes/triton/runtime.py            145      9    94%

merlin/systems/model_registry.py                          16      1    94%

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

merlin/systems/triton/conversions.py                     143    120    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            35     35     0%

merlin/systems/triton/models/oprunner_model.py            33     33     0%

merlin/systems/triton/models/pytorch_model.py            105    105     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                                                   2846   1223    57%


=========== 2 failed, 101 passed, 71 warnings in 1531.38s (0:25:31) ============

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/jenkins9996455337679195742.sh

@nvidia-merlin-bot
Copy link

Click to view CI Results
GitHub pull request #236 of commit 04c62320f6e1e3500a22fa8c2866d4ee06fd028a, no merge conflicts.
Running as SYSTEM
Setting status of 04c62320f6e1e3500a22fa8c2866d4ee06fd028a to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_systems/594/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_systems/workspace
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/236/*:refs/remotes/origin/pr/236/* # timeout=10
 > git rev-parse 04c62320f6e1e3500a22fa8c2866d4ee06fd028a^{commit} # timeout=10
Checking out Revision 04c62320f6e1e3500a22fa8c2866d4ee06fd028a (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 04c62320f6e1e3500a22fa8c2866d4ee06fd028a # timeout=10
Commit message: "Merge branch 'main' into test/pytorch-integration-remove-hf-format"
 > git rev-list --no-walk 03f76e894ca1851445fee68a92d516bad8382c82 # timeout=10
[workspace] $ /bin/bash /tmp/jenkins13867604330576625815.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/2/merlin-systems-0.7.0+32.g04c6232.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==1.27.27,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==1.29.27,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+32.g04c6232,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,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==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='1408083102'
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-lfh6mgvn
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-lfh6mgvn
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit c2ef3f06ce2caf864d84bc6e92799c4d1392f74a
  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: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (1.3.5)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (0.55.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (2022.5.0)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (2022.3.0)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (21.3)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (2022.3.0)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (1.2.5)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (4.64.1)
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (7.0.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (3.19.5)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (1.10.0)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (1.2.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (0.4.3)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (2.2.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (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==0.9.0+15.gc2ef3f0) (5.4.1)
Requirement already satisfied: tornado>=6.0.3 in /var/jenkins_home/.local/lib/python3.8/site-packages/tornado-6.1-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (6.1)
Requirement already satisfied: msgpack>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (1.0.4)
Requirement already satisfied: click>=6.6 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (8.1.3)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (1.7.0)
Requirement already satisfied: psutil>=5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/psutil-5.8.0-py3.8-linux-x86_64.egg (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (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==0.9.0+15.gc2ef3f0) (2.0.0)
Requirement already satisfied: sortedcontainers!=2.0.0,!=2.0.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/sortedcontainers-2.4.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (2.4.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.8/dist-packages (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (3.1.2)
Requirement already satisfied: llvmlite<0.39,>=0.38.0rc1 in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+15.gc2ef3f0) (0.38.1)
Requirement already satisfied: setuptools in ./.tox/test-gpu/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+15.gc2ef3f0) (65.5.1)
Requirement already satisfied: numpy<1.22,>=1.18 in /var/jenkins_home/.local/lib/python3.8/site-packages (from numba>=0.54->merlin-core==0.9.0+15.gc2ef3f0) (1.20.3)
Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->merlin-core==0.9.0+15.gc2ef3f0) (3.0.9)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+15.gc2ef3f0) (2022.2.1)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+15.gc2ef3f0) (2.8.2)
Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+15.gc2ef3f0) (1.52.0)
Requirement already satisfied: absl-py<2.0.0,>=0.9 in /usr/local/lib/python3.8/dist-packages (from tensorflow-metadata>=1.2.0->merlin-core==0.9.0+15.gc2ef3f0) (1.2.0)
Requirement already satisfied: locket in /var/jenkins_home/.local/lib/python3.8/site-packages/locket-0.2.1-py3.8.egg (from partd>=0.3.10->dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (0.2.1)
Requirement already satisfied: six>=1.5 in /var/jenkins_home/.local/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas<1.4.0dev0,>=1.2.0->merlin-core==0.9.0+15.gc2ef3f0) (1.15.0)
Requirement already satisfied: heapdict in /var/jenkins_home/.local/lib/python3.8/site-packages/HeapDict-1.0.1-py3.8.egg (from zict>=0.1.3->distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (1.0.1)
Requirement already satisfied: h2<5,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (4.1.0)
Requirement already satisfied: multidict in /usr/local/lib/python3.8/dist-packages (from grpclib->betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (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==0.9.0+15.gc2ef3f0) (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==0.9.0+15.gc2ef3f0) (4.0.0)
Requirement already satisfied: hyperframe<7,>=6.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (6.0.1)
Building wheels for collected packages: merlin-core
  Building wheel for merlin-core (pyproject.toml): started
  Building wheel for merlin-core (pyproject.toml): finished with status 'done'
  Created wheel for merlin-core: filename=merlin_core-0.9.0+15.gc2ef3f0-py3-none-any.whl size=119064 sha256=613007a80027e1efd6a1f5b64c007e099c73d700f2efcac8062f9a1527657da2
  Stored in directory: /tmp/pip-ephem-wheel-cache-303v_4op/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-0.9.0+15.gc2ef3f0
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: requests<3,>=2.10 in /usr/lib/python3/dist-packages (from merlin-systems==0.7.0+32.g04c6232) (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+32.g04c6232) (1.1.1)
Requirement already satisfied: treelite==2.4.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+32.g04c6232) (2.4.0)
Requirement already satisfied: treelite-runtime==2.4.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+32.g04c6232) (2.4.0)
Requirement already satisfied: merlin-core>=0.2.0 in ./.tox/test-gpu/lib/python3.8/site-packages (from merlin-systems==0.7.0+32.g04c6232) (0.9.0+15.gc2ef3f0)
Requirement already satisfied: numpy in /var/jenkins_home/.local/lib/python3.8/site-packages (from treelite==2.4.0->merlin-systems==0.7.0+32.g04c6232) (1.20.3)
Requirement already satisfied: scipy in /usr/local/lib/python3.8/dist-packages (from treelite==2.4.0->merlin-systems==0.7.0+32.g04c6232) (1.8.1)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core>=0.2.0->merlin-systems==0.7.0+32.g04c6232) (1.3.5)
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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+32.g04c6232-py3-none-any.whl size=140122 sha256=c87e678f4de20dbde80254f344a65e69a25cfbf30597fbcf0801f10c9fcbb81f
  Stored in directory: /tmp/pip-ephem-wheel-cache-fwdisxxr/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+32.g04c6232
    Uninstalling merlin-systems-0.7.0+32.g04c6232:
      Successfully uninstalled merlin-systems-0.7.0+32.g04c6232
Successfully installed merlin-systems-0.7.0+32.g04c6232
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, cov-4.0.0, xdist-3.1.0
collected 113 items

tests/unit/test_export.py .                                              [  0%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  1%]

.                                                                        [  2%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  3%]

[  3%]

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

[  4%]

tests/unit/systems/dag/test_column.py .                                  [  5%]

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

tests/unit/systems/dag/test_executors.py ...                             [  8%]

tests/unit/systems/dag/test_graph.py ..                                  [ 10%]

tests/unit/systems/dag/test_model_registry.py ..                         [ 12%]

tests/unit/systems/dag/test_op_runner.py ....                            [ 15%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 17%]

tests/unit/systems/dag/runtimes/local/ops/torch/test_op.py ....          [ 21%]

tests/unit/systems/dag/runtimes/triton/test_triton.py .....              [ 25%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py . [ 26%]

...                                                                      [ 29%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py .. [ 30%]

..                                                                       [ 32%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py .F [ 34%]

..                                                                       [ 36%]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py ..........   [ 45%]

tests/unit/systems/dag/runtimes/triton/ops/workflow/test_ensemble.py ..  [ 46%]

tests/unit/systems/dag/runtimes/triton/ops/workflow/test_op.py ..        [ 48%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 49%]

tests/unit/systems/ops/feast/test_op.py ......                           [ 54%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 55%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 59%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 82%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 84%]

tests/unit/systems/ops/implicit/test_op.py .........                     [ 92%]

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 96%]

tests/unit/systems/ops/tf/test_op.py ....                                [100%]


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

____ test_xgboost_regressor_forest_inference[runtime1-None-executor_model] _____


runtime = <merlin.systems.dag.runtimes.triton.runtime.TritonExecutorRuntime object at 0x7f0705aab7c0>

model_name = None, expected_model_name = 'executor_model'

tmpdir = local('/tmp/pytest-of-jenkins/pytest-0/test_xgboost_regressor_forest_1')


@pytest.mark.skipif(not TRITON_SERVER_PATH, reason="triton server not found")
@pytest.mark.parametrize(
    ["runtime", "model_name", "expected_model_name"],
    [
        (TritonEnsembleRuntime(), None, "ensemble_model"),
        (TritonExecutorRuntime(), None, "executor_model"),
    ],
)
def test_xgboost_regressor_forest_inference(runtime, model_name, expected_model_name, tmpdir):
    rows = 200
    num_features = 16
    X, y = sklearn_datasets.make_regression(
        n_samples=rows,
        n_features=num_features,
        n_informative=num_features // 3,
        random_state=0,
    )
    feature_names = [str(i) for i in range(num_features)]
    df = pd.DataFrame(X, columns=feature_names, dtype=np.float32)
    for column in df.columns:
        df[column] = np.log(df[column] + 1).fillna(0.5)

    # Fit GBDT Model
    model = xgboost.XGBRegressor()
    model.fit(X, y)

    input_column_schemas = [ColumnSchema(col, dtype=np.float32) for col in feature_names]
    input_schema = Schema(input_column_schemas)
    selector = ColumnSelector(feature_names)

    triton_chain = selector >> PredictForest(model, input_schema)

    ensemble = Ensemble(triton_chain, input_schema)

    request_df = df[:5]
    ensemble_config, _ = ensemble.export(tmpdir, runtime=runtime, name=model_name)

    assert ensemble_config.name == expected_model_name





  response = run_ensemble_on_tritonserver(





        str(tmpdir), input_schema, request_df, ["output__0"], ensemble_config.name
    )



tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py:61:




merlin/systems/triton/utils.py:140: in run_ensemble_on_tritonserver

response = send_triton_request(

merlin/systems/triton/utils.py:193: 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.NOT_FOUND

details = "Request for unknown model: ...call.cc","file_line":1069,"grpc_message":"Request for unknown model: 'executor_model' is not found","grpc_status":5}"






def raise_error_grpc(rpc_error):





  raise get_error_grpc(rpc_error) from None





E       tritonclient.utils.InferenceServerException: [StatusCode.NOT_FOUND] Request for unknown model: 'executor_model' is not found


/usr/local/lib/python3.8/dist-packages/tritonclient/grpc/init.py:62: InferenceServerException

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

I1212 16:08:35.124954 10982 pinned_memory_manager.cc:240] Pinned memory pool is created at '0x7f74d6000000' with size 268435456

I1212 16:08:35.125731 10982 cuda_memory_manager.cc:105] CUDA memory pool is created on device 0 with size 536870912

I1212 16:08:35.133727 10982 model_lifecycle.cc:459] loading: executor_model:1

I1212 16:08:35.133768 10982 model_lifecycle.cc:459] loading: 0_filtriton:1

I1212 16:08:35.133799 10982 model_lifecycle.cc:459] loading: 0_predictforesttriton:1

I1212 16:08:35.155918 10982 initialize.hpp:43] TRITONBACKEND_Initialize: fil

I1212 16:08:35.155951 10982 backend.hpp:47] Triton TRITONBACKEND API version: 1.10

I1212 16:08:35.155958 10982 backend.hpp:52] 'fil' TRITONBACKEND API version: 1.10

/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 "

I1212 16:08:43.992807 10982 model_initialize.hpp:37] TRITONBACKEND_ModelInitialize: 0_filtriton (version 1)

--------------------------- Captured stderr teardown ---------------------------

1212 16:08:45.031247 11202 pb_stub.cc:1016] Non-graceful termination detected.

=============================== 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/dag/runtimes/local/ops/torch/test_op.py::test_pytorch_op_serving[runtime0-True-True]

tests/unit/systems/dag/runtimes/local/ops/torch/test_op.py::test_pytorch_op_serving_python[runtime0-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving[runtime0-None-ensemble_model-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving[runtime1-None-executor_model-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving_python[runtime0-None-ensemble_model-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving_python[runtime1-None-executor_model-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"


tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py: 4 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: invalid value encountered in log

result = getattr(ufunc, method)(*inputs, **kwargs)


tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime1-None-executor_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime1-None-executor_model]

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/feast/test_op.py::test_feast_from_feature_view

/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/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(


-- 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                             4      0   100%

merlin/systems/dag/dictarray.py                          134     45    66%

merlin/systems/dag/ensemble.py                            46      1    98%

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                          32      8    75%

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

merlin/systems/dag/ops/feast.py                          118      7    94%

merlin/systems/dag/ops/fil.py                            211     56    73%

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

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         43      0   100%

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                        29      4    86%

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

merlin/systems/dag/runtimes/base_runtime.py               11      1    91%

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/fil.py             95     13    86%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/pytorch.py         62      7    89%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      53      5    91%

merlin/systems/dag/runtimes/triton/ops/workflow.py        47     15    68%

merlin/systems/dag/runtimes/triton/runtime.py            157     11    93%

merlin/systems/model_registry.py                          16      1    94%

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

merlin/systems/triton/conversions.py                     143    120    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            35     35     0%

merlin/systems/triton/models/oprunner_model.py            33     33     0%

merlin/systems/triton/models/pytorch_model.py            105    105     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                                                   2904   1233    58%


=========== 1 failed, 112 passed, 75 warnings in 1877.46s (0:31:17) ============

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"

[workspace] $ /bin/bash /tmp/jenkins2171611648944355281.sh

@nvidia-merlin-bot
Copy link

Click to view CI Results
GitHub pull request #236 of commit 9a04566b8b8015aadefbe24b81dea431ab819ed4, no merge conflicts.
Running as SYSTEM
Setting status of 9a04566b8b8015aadefbe24b81dea431ab819ed4 to PENDING with url http://merlin-infra1.nvidia.com:8080/job/merlin_systems/597/ and message: 'Pending'
Using context: Jenkins
Building on the built-in node in workspace /var/jenkins_home/jobs/merlin_systems/workspace
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/236/*:refs/remotes/origin/pr/236/* # timeout=10
 > git rev-parse 9a04566b8b8015aadefbe24b81dea431ab819ed4^{commit} # timeout=10
Checking out Revision 9a04566b8b8015aadefbe24b81dea431ab819ed4 (detached)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 9a04566b8b8015aadefbe24b81dea431ab819ed4 # timeout=10
Commit message: "Merge branch 'main' into test/pytorch-integration-remove-hf-format"
 > git rev-list --no-walk 10d215c5c75c37c7d98a8c03dc470a675560495f # timeout=10
[workspace] $ /bin/bash /tmp/jenkins9307473297687117209.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/2/merlin-systems-0.7.0+34.g9a04566.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==1.27.27,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==1.29.27,Brotli==1.0.9,cachetools==5.2.0,certifi==2019.11.28,cffi==1.15.1,chardet==3.0.4,charset-normalizer==2.1.1,clang==5.0,click==8.1.3,cliff==4.1.0,cloudpickle==2.2.0,cmaes==0.9.0,cmake==3.24.1.1,cmd2==2.4.2,colorama==0.4.4,colorlog==6.7.0,contourpy==1.0.5,coverage==6.5.0,cuda-python==11.7.1,cupy-cuda117==10.6.0,cycler==0.11.0,Cython==0.29.32,dask==2022.1.1,dbus-python==1.2.16,debugpy==1.6.3,decorator==5.1.1,defusedxml==0.7.1,dill==0.3.5.1,distlib==0.3.6,distributed==2022.5.1,distro==1.7.0,dm-tree==0.1.6,docker-pycreds==0.4.0,docutils==0.16,emoji==1.7.0,entrypoints==0.4,execnet==1.9.0,executing==1.0.0,faiss==1.7.2,faiss-gpu==1.7.2,fastai==2.7.9,fastapi==0.85.0,fastavro==1.6.1,fastcore==1.5.27,fastdownload==0.0.7,fastjsonschema==2.16.1,fastprogress==1.0.3,fastrlock==0.8,feast==0.19.4,fiddle==0.2.2,filelock==3.8.0,flatbuffers==1.12,fonttools==4.37.3,frozenlist==1.3.1,fsspec==2022.5.0,gast==0.4.0,gevent==21.12.0,geventhttpclient==2.0.2,gitdb==4.0.9,GitPython==3.1.27,google==3.0.0,google-api-core==2.10.1,google-auth==2.11.1,google-auth-oauthlib==0.4.6,google-pasta==0.2.0,googleapis-common-protos==1.52.0,graphviz==0.20.1,greenlet==1.1.3,grpcio==1.41.0,grpcio-channelz==1.49.0,grpcio-reflection==1.48.1,grpclib==0.4.3,h11==0.13.0,h2==4.1.0,h5py==3.7.0,HeapDict==1.0.1,horovod==0.26.1,hpack==4.0.0,httptools==0.5.0,hugectr2onnx==0.0.0,huggingface-hub==0.9.1,hyperframe==6.0.1,idna==2.8,imagesize==1.4.1,implicit==0.6.1,importlib-metadata==4.12.0,importlib-resources==5.9.0,iniconfig==1.1.1,ipykernel==6.15.3,ipython==8.5.0,ipython-genutils==0.2.0,ipywidgets==7.7.0,jedi==0.18.1,Jinja2==3.1.2,jmespath==1.0.1,joblib==1.2.0,json5==0.9.10,jsonschema==4.16.0,jupyter-cache==0.4.3,jupyter-core==4.11.1,jupyter-server==1.18.1,jupyter-server-mathjax==0.2.5,jupyter-sphinx==0.3.2,jupyter_client==7.3.5,jupyterlab==3.4.7,jupyterlab-pygments==0.2.2,jupyterlab-widgets==1.1.0,jupyterlab_server==2.15.1,keras==2.9.0,Keras-Preprocessing==1.1.2,kiwisolver==1.4.4,lazy-object-proxy==1.8.0,libclang==14.0.6,libcst==0.4.7,lightfm==1.16,lightgbm==3.3.2,linkify-it-py==1.0.3,llvmlite==0.39.1,locket==1.0.0,lxml==4.9.1,Mako==1.2.4,Markdown==3.4.1,markdown-it-py==1.1.0,MarkupSafe==2.1.1,matplotlib==3.6.0,matplotlib-inline==0.1.6,mdit-py-plugins==0.2.8,merlin-core==0.6.0+1.g5926fcf,merlin-models==0.7.0+11.g280956aa4,merlin-systems==0.7.0+34.g9a04566,mistune==2.0.4,mmh3==3.0.0,mpi4py==3.1.3,msgpack==1.0.4,multidict==6.0.2,mypy-extensions==0.4.3,myst-nb==0.13.2,myst-parser==0.15.2,natsort==8.1.0,nbclassic==0.4.3,nbclient==0.6.8,nbconvert==7.0.0,nbdime==3.1.1,nbformat==5.5.0,nest-asyncio==1.5.5,ninja==1.10.2.3,notebook==6.4.12,notebook-shim==0.1.0,numba==0.56.2,numpy==1.22.4,nvidia-pyindex==1.0.9,# Editable install with no version control (nvtabular==1.4.0+8.g95e12d347),-e /usr/local/lib/python3.8/dist-packages,nvtx==0.2.5,oauthlib==3.2.1,oldest-supported-numpy==2022.8.16,onnx==1.12.0,onnxruntime==1.11.1,opt-einsum==3.3.0,optuna==3.0.4,packaging==21.3,pandas==1.3.5,pandavro==1.5.2,pandocfilters==1.5.0,parso==0.8.3,partd==1.3.0,pathtools==0.1.2,pbr==5.11.0,pexpect==4.8.0,pickleshare==0.7.5,Pillow==9.2.0,pkgutil_resolve_name==1.3.10,platformdirs==2.5.2,plotly==5.11.0,pluggy==1.0.0,prettytable==3.5.0,prometheus-client==0.14.1,promise==2.3,prompt-toolkit==3.0.31,proto-plus==1.19.6,protobuf==3.19.5,psutil==5.9.2,ptyprocess==0.7.0,pure-eval==0.2.2,py==1.11.0,pyarrow==7.0.0,pyasn1==0.4.8,pyasn1-modules==0.2.8,pybind11==2.10.0,pycparser==2.21,pydantic==1.10.2,pydot==1.4.2,Pygments==2.13.0,PyGObject==3.36.0,pynvml==11.4.1,pyparsing==3.0.9,pyperclip==1.8.2,pyrsistent==0.18.1,pytest==7.1.3,pytest-cov==4.0.0,pytest-xdist==3.1.0,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==1.4.45,stack-data==0.5.0,starlette==0.20.4,stevedore==4.1.1,stringcase==1.2.0,supervisor==4.1.0,tabulate==0.8.10,tblib==1.7.0,tdqm==0.0.1,tenacity==8.0.1,tensorboard==2.9.1,tensorboard-data-server==0.6.1,tensorboard-plugin-wit==1.8.1,tensorflow==2.9.2,tensorflow-estimator==2.9.0,tensorflow-gpu==2.9.2,tensorflow-io-gcs-filesystem==0.27.0,tensorflow-metadata==1.10.0,termcolor==2.0.1,terminado==0.15.0,testbook==0.4.2,threadpoolctl==3.1.0,tinycss2==1.1.1,tokenizers==0.10.3,toml==0.10.2,tomli==2.0.1,toolz==0.12.0,torch==1.12.1+cu113,torchmetrics==0.3.2,tornado==6.2,tox==3.26.0,tqdm==4.64.1,traitlets==5.4.0,transformers==4.12.0,transformers4rec==0.1.12+2.gbcc939255,treelite==2.3.0,treelite-runtime==2.3.0,tritonclient==2.25.0,typing-inspect==0.8.0,typing_extensions==4.3.0,uc-micro-py==1.0.1,urllib3==1.26.12,uvicorn==0.18.3,uvloop==0.17.0,versioneer==0.20,virtualenv==20.16.5,wandb==0.13.3,watchfiles==0.17.0,wcwidth==0.2.5,webencodings==0.5.1,websocket-client==1.4.1,websockets==10.3,Werkzeug==2.2.2,widgetsnbextension==3.6.0,wrapt==1.12.1,xgboost==1.6.2,yarl==1.8.1,zict==2.2.0,zipp==3.8.1,zope.event==4.5.0,zope.interface==5.4.0
test-gpu run-test-pre: PYTHONHASHSEED='4224484004'
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-o6e_tvtr
  Running command git clone --filter=blob:none --quiet https://github.com/NVIDIA-Merlin/core.git /tmp/pip-req-build-o6e_tvtr
  Resolved https://github.com/NVIDIA-Merlin/core.git to commit c2ef3f06ce2caf864d84bc6e92799c4d1392f74a
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Requirement already satisfied: pyarrow>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (7.0.0)
Requirement already satisfied: dask>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (2022.3.0)
Requirement already satisfied: tqdm>=4.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (4.64.1)
Requirement already satisfied: tensorflow-metadata>=1.2.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (1.10.0)
Requirement already satisfied: numba>=0.54 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (0.55.1)
Requirement already satisfied: fsspec==2022.5.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (2022.5.0)
Requirement already satisfied: protobuf>=3.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (3.19.5)
Requirement already satisfied: betterproto<2.0.0 in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (1.2.5)
Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from merlin-core==0.9.0+15.gc2ef3f0) (21.3)
Requirement already satisfied: pandas<1.4.0dev0,>=1.2.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (1.3.5)
Requirement already satisfied: distributed>=2022.3.0 in /var/jenkins_home/.local/lib/python3.8/site-packages (from merlin-core==0.9.0+15.gc2ef3f0) (2022.3.0)
Requirement already satisfied: grpclib in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (0.4.3)
Requirement already satisfied: stringcase in /usr/local/lib/python3.8/dist-packages (from betterproto<2.0.0->merlin-core==0.9.0+15.gc2ef3f0) (1.2.0)
Requirement already satisfied: toolz>=0.8.2 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (0.12.0)
Requirement already satisfied: partd>=0.3.10 in /var/jenkins_home/.local/lib/python3.8/site-packages/partd-1.2.0-py3.8.egg (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (1.2.0)
Requirement already satisfied: pyyaml>=5.3.1 in /var/jenkins_home/.local/lib/python3.8/site-packages/PyYAML-5.4.1-py3.8-linux-x86_64.egg (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (5.4.1)
Requirement already satisfied: cloudpickle>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from dask>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (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==0.9.0+15.gc2ef3f0) (2.4.0)
Requirement already satisfied: tblib>=1.6.0 in /var/jenkins_home/.local/lib/python3.8/site-packages/tblib-1.7.0-py3.8.egg (from distributed>=2022.3.0->merlin-core==0.9.0+15.gc2ef3f0) (1.7.0)
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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-0.9.0+15.gc2ef3f0-py3-none-any.whl size=119064 sha256=872f4180aa1cf60990f016e49a811c1aac5c4dfb8fa8fbe756dbae3809ec7607
  Stored in directory: /tmp/pip-ephem-wheel-cache-om5uhrop/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-0.9.0+15.gc2ef3f0
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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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+34.g9a04566) (6.0.1)
Requirement already satisfied: hpack<5,>=4.0 in /usr/local/lib/python3.8/dist-packages (from h2<5,>=3.1.0->grpclib->betterproto<2.0.0->merlin-core>=0.2.0->merlin-systems==0.7.0+34.g9a04566) (4.0.0)
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+34.g9a04566-py3-none-any.whl size=140180 sha256=e4756ed3f15ce8b3b25d6515964a8998d6a6b1de6e01b32ff6bfd11e30e34392
  Stored in directory: /tmp/pip-ephem-wheel-cache-soemqp44/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+34.g9a04566
    Uninstalling merlin-systems-0.7.0+34.g9a04566:
      Successfully uninstalled merlin-systems-0.7.0+34.g9a04566
Successfully installed merlin-systems-0.7.0+34.g9a04566
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, cov-4.0.0, xdist-3.1.0
collected 119 items

tests/unit/test_export.py .                                              [  0%]

tests/unit/examples/test_serving_an_implicit_model_with_merlin_systems.py . [  1%]

.                                                                        [  2%]

tests/unit/examples/test_serving_an_xgboost_model_with_merlin_systems.py . [  3%]

[  3%]

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

[  4%]

tests/unit/systems/dag/test_column.py .                                  [  5%]

tests/unit/systems/dag/test_ensemble.py .                                [  5%]

tests/unit/systems/dag/test_executors.py ...                             [  8%]

tests/unit/systems/dag/test_graph.py ..                                  [ 10%]

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

tests/unit/systems/dag/test_op_runner.py ....                            [ 15%]

tests/unit/systems/dag/ops/test_ops.py ..                                [ 16%]

tests/unit/systems/dag/runtimes/local/ops/fil/test_lightgbm.py ..        [ 18%]

tests/unit/systems/dag/runtimes/local/ops/fil/test_sklearn.py ..         [ 20%]

tests/unit/systems/dag/runtimes/local/ops/fil/test_xgboost.py ..         [ 21%]

tests/unit/systems/dag/runtimes/local/ops/torch/test_op.py ....          [ 25%]

tests/unit/systems/dag/runtimes/triton/test_triton.py .....              [ 29%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py . [ 30%]

...                                                                      [ 32%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py .. [ 34%]

..                                                                       [ 36%]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py .. [ 37%]

..                                                                       [ 39%]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py ..........   [ 47%]

tests/unit/systems/dag/runtimes/triton/ops/workflow/test_ensemble.py ..  [ 49%]

tests/unit/systems/dag/runtimes/triton/ops/workflow/test_op.py ..        [ 51%]

tests/unit/systems/ops/faiss/test_executor.py .                          [ 52%]

tests/unit/systems/ops/feast/test_op.py ......                           [ 57%]

tests/unit/systems/ops/fil/test_ensemble.py .                            [ 57%]

tests/unit/systems/ops/fil/test_forest.py ....                           [ 61%]

tests/unit/systems/ops/fil/test_op.py ..........................         [ 83%]

tests/unit/systems/ops/implicit/test_executor.py ...                     [ 85%]

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

tests/unit/systems/ops/tf/test_ensemble.py ....                          [ 96%]

tests/unit/systems/ops/tf/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/dag/runtimes/local/ops/fil/test_lightgbm.py: 2 warnings

tests/unit/systems/dag/runtimes/local/ops/fil/test_sklearn.py: 2 warnings

tests/unit/systems/dag/runtimes/local/ops/fil/test_xgboost.py: 2 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_lightgbm_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py: 4 warnings

tests/unit/systems/dag/runtimes/triton/ops/fil/test_xgboost_triton.py: 4 warnings

/var/jenkins_home/.local/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: invalid value encountered in log

result = getattr(ufunc, method)(*inputs, **kwargs)


tests/unit/systems/dag/runtimes/local/ops/torch/test_op.py::test_pytorch_op_serving[runtime0-True-True]

tests/unit/systems/dag/runtimes/local/ops/torch/test_op.py::test_pytorch_op_serving_python[runtime0-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving[runtime0-None-ensemble_model-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving[runtime1-None-executor_model-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving_python[runtime0-None-ensemble_model-True-True]

tests/unit/systems/dag/runtimes/triton/ops/torch/test_op.py::test_pytorch_op_serving_python[runtime1-None-executor_model-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"


tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_regressor_forest_inference[runtime1-None-executor_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime0-None-ensemble_model]

tests/unit/systems/dag/runtimes/triton/ops/fil/test_sklearn_triton.py::test_sklearn_classify_forest_inference[runtime1-None-executor_model]

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/feast/test_op.py::test_feast_from_feature_view

/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/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(


-- 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                             4      0   100%

merlin/systems/dag/dictarray.py                          134     38    72%

merlin/systems/dag/ensemble.py                            46      1    98%

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                          32      8    75%

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

merlin/systems/dag/ops/feast.py                          118      7    94%

merlin/systems/dag/ops/fil.py                            217     51    76%

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

merlin/systems/dag/ops/operator.py                        79      6    92%

merlin/systems/dag/ops/pytorch.py                         43      0   100%

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                        29      4    86%

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

merlin/systems/dag/runtimes/base_runtime.py               11      1    91%

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/fil.py             95     13    86%

merlin/systems/dag/runtimes/triton/ops/operator.py        11      0   100%

merlin/systems/dag/runtimes/triton/ops/pytorch.py         62      7    89%

merlin/systems/dag/runtimes/triton/ops/tensorflow.py      53      5    91%

merlin/systems/dag/runtimes/triton/ops/workflow.py        47     15    68%

merlin/systems/dag/runtimes/triton/runtime.py            157     11    93%

merlin/systems/model_registry.py                          16      1    94%

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

merlin/systems/triton/conversions.py                     143    120    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            35     35     0%

merlin/systems/triton/models/oprunner_model.py            33     33     0%

merlin/systems/triton/models/pytorch_model.py            105    105     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                                                   2910   1221    58%


================ 119 passed, 81 warnings in 1887.15s (0:31:27) =================

___________________________________ 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"

[workspace] $ /bin/bash /tmp/jenkins2098568197724573380.sh

@karlhigley karlhigley merged commit d845e9c into NVIDIA-Merlin:main Dec 13, 2022
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@karlhigley karlhigley karlhigley approved these changes

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