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NVIDIA
NVIDIA
Merlin Training
Container
NVIDIA
NVIDIA
Merlin Training

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

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CONFIG
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28db16fd35aec2416d055dced7690eac7f43667fe94e865ddd2142878ed7e7e0RUN
/bin/bash -c #(nop) ENTRYPOINT []
01/14/2022 9:17 AM UTC
865a167232ab21ce59146f402d3b2278d610371dfb9b1d472f2d5dc174c228f4RUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
01/14/2022 9:17 AM UTC
91ba653a676ec443315f05443257dcc07a58ad3a80fe437f83e7bd620612ac2dRUN
HUGECTR_VER=vnightly HWLOC_VER=2.4.1 NVTAB_VER=vnightly RELEASE=false /bin/bash -c echo $(du -h --max-depth=1 /)
01/14/2022 9:17 AM UTC
ea336b89330f0aeeba3b5f9f2847beb221a39244e5fc4f7dea42a224e903d816RUN
HUGECTR_VER=vnightly HWLOC_VER=2.4.1 NVTAB_VER=vnightly RELEASE=false /bin/bash -c pip install numba numpy --upgrade
01/14/2022 9:17 AM UTC
5e65ef60bc83528cc34b6326516a8e05c5c784234291584464b66f089396d432RUN
HUGECTR_VER=vnightly HWLOC_VER=2.4.1 NVTAB_VER=vnightly RELEASE=false /bin/bash -c pip install dask==2021.09.1 distributed==2021.09.1 dask[dataframe]==2021.09.1 dask-cuda
01/14/2022 9:17 AM UTC
cf7e1418f50c770f56071a1aefc8965f0b2f75ca0f025d13e047f5a328efb07cRUN
HUGECTR_VER=vnightly HWLOC_VER=2.4.1 NVTAB_VER=vnightly RELEASE=false /bin/bash -c rm -rf /repos
01/14/2022 9:17 AM UTC
ec20debeabcd21f6c33e683df9fe1101dd97e08f8b489fec8b9bc96524dcc2e7RUN
HUGECTR_VER=vnightly HWLOC_VER=2.4.1 NVTAB_VER=vnightly RELEASE=false /bin/bash -c rm /usr/local/cuda/lib64/stubs/libcuda.so.1
01/14/2022 9:17 AM UTC
b0bcee13121d73bef64c02f8fa4587060d3b5572073dd011ff32a6a7f8128018RUN
/bin/bash -c #(nop) ENV PYTHONPATH=/hugectr/onnx_converter:/usr/local/hugectr/lib:
01/14/2022 9:17 AM UTC
02de584b1ef95a11f0566666c697ebedcbe72d6958072d29c0364677f38e21c4RUN
/bin/bash -c #(nop) ENV PYTHONPATH=/usr/local/hugectr/lib:
01/14/2022 9:17 AM UTC
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