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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"]
    		05/29/2021 8:45 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENTRYPOINT []
    		05/29/2021 8:45 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
    		05/29/2021 8:45 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c echo $(du -h --max-depth=1 /)
    		05/29/2021 8:45 AM UTC
    sha256:e4f33c7bfecca27945a06d0c88c59d77b1c3b22b10616806bdb0bea75c92ba5dRUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c rm -rf /repos
    		05/29/2021 8:45 AM UTC
    sha256:63e65b6c69c543b69af28dbd3190c15e4e973fba442dbb4ad9f909ae6e5bd324RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.3 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
    		05/29/2021 8:45 AM UTC
    sha256:d2924660680dd45f95ee0e62f627ea32b0f73cf69ce5b5e10fd82da7031c9675RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c pip install --no-deps fastai fastcore fastprogress
    		05/29/2021 8:43 AM UTC
    sha256:ef33a16828fbc7038499426dc7c1b38df4505c81bf0093838beb01cb88f6c8aaRUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.3 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]
    		05/29/2021 8:43 AM UTC
    sha256:49399e23b86da5b573a09f24770bd57bdbbaa00de9c44dbec2886bfbfe306d12RUN
    CUDF_VER=v0.19.1 NVTAB_VER=v0.5.3 RELEASE=true RMM_VER=v0.19.0 /bin/bash -c pip install torch==1.8.1
    		05/29/2021 8:38 AM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
    /bin/bash -c #(nop) ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
    		05/29/2021 8:37 AM UTC
    ...

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