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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"]
    		08/04/2021 10:11 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    		08/04/2021 10:11 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    		08/04/2021 10:11 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CUDF_VER=v21.06.01 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 /bin/bash -c echo $(du -h --max-depth=1 /)
    		08/04/2021 10:11 PM UTC
    sha256:fa28a3aeef6de0cf07e72b9a0a9ffac30552c965ea1ac48e23442d7db96e6222RUN
    CUDF_VER=v21.06.01 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 /bin/bash -c rm -rf /repos
    		08/04/2021 10:11 PM UTC
    sha256:4d2ffd676ba0fabf201a910b9ac14b847cddb8fe19fc3fb4e0e78102bfbbe218RUN
    CUDF_VER=v21.06.01 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 /bin/bash -c pip install dask==2021.04.1 distributed==2021.4 dask-cuda
    		08/04/2021 10:11 PM UTC
    sha256:27f92cd34145c4f15464a8cc49395dc672d39e783054ec8f7ee50d098d64f6b3RUN
    CUDF_VER=v21.06.01 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 /bin/bash -c pip install nvtx pandas==1.1.5 mpi4py==3.0.3 cupy-cuda113 cachetools typing_extensions fastavro
    		08/04/2021 10:11 PM UTC
    sha256:a46f77a3e561a82534882be84b68b46bc3f38a6b159a13597d3bc47fffddc046RUN
    CUDF_VER=v21.06.01 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 /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]
    		08/04/2021 10:09 PM UTC
    sha256:47c5d9cf7262b8b18cf3ad53aa95f8f491e45bd668f3c5ec4fde889c4c205c94RUN
    CUDF_VER=v21.06.01 NVTAB_VER=v0.6.0 RELEASE=true RMM_VER=v21.06.00 /bin/bash -c pip install fastai
    		08/04/2021 10:04 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
    		08/04/2021 10:03 PM UTC
    ...

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