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  • NVIDIA
    Merlin PyTorch Training
    Container
    NVIDIA
    Merlin PyTorch Training

    This container allows users to do preprocessing and feature engineering with NVTabular, and then train a deep-learning based recommender system model with PyTorch.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) CMD ["/bin/bash"]
    		05/15/2021 12:18 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    		05/15/2021 12:18 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    		05/15/2021 12:18 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c echo $(du -h --max-depth=1 /)
    		05/15/2021 12:18 AM UTC
    sha256:d45a92dc59993dc5b03923ea70a13373b752ff17cc0904d8564f3da1aeb5d1acRUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm -rf /repos
    		05/15/2021 12:18 AM UTC
    sha256:03a247266a6fe21f7cece8806f2c5e7b05d57fde3ecd6995acbc797d82550c00RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c pip install nvtx pandas==1.1.5 mpi4py==3.0.3 cupy-cuda112 cachetools typing_extensions fastavro
    		05/15/2021 12:18 AM UTC
    sha256:b7e0e188f305b9b6ba517ab7ce2e2efa38752c88737696dadde5fddad0640171RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c pip install --no-deps fastai fastcore fastprogress
    		05/15/2021 12:17 AM UTC
    sha256:32e2f6a2c1fb3868ff42ed2019f15cff5271f7d612508eed5fd500101f939478RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c CC=/usr/bin/gcc CXX=/usr/bin/g++ HOROVOD_CUDA_HOME=/usr/local/cuda/ HOROVOD_BUILD_CUDA_CC_LIST=60,70,75,80 HOROVOD_GPU_OPERATIONS=NCCL HOROVOD_WITH_PYTORCH=1 HOROVOD_NCCL_LINK=SHARED pip install --no-cache-dir horovod[pytorch]
    		05/15/2021 12:17 AM UTC
    sha256:dfc87b081d3ad82b5be13de47bfc9f7390bf86b111517fb4c0b3d8171ee9fa9cRUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.2 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c pip install torch==1.8.1
    		05/15/2021 12:11 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
    		05/15/2021 12:09 AM UTC
    ...

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