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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
/bin/bash
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
&{["NONE"] "0s" "0s" "0s" '\x00'}
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CORE_VER=v0.2.0 HUGECTR_DEV_MODE=false HUGECTR_VER=v3.5 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/node-fetch
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CORE_VER=v0.2.0 HUGECTR_DEV_MODE=false HUGECTR_VER=v3.5 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /usr/local/share/jupyter/lab/staging/node_modules/marked
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CORE_VER=v0.2.0 HUGECTR_DEV_MODE=false HUGECTR_VER=v3.5 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm -rf /repos
04/07/2022 8:17 PM UTC
sha256:f0703dbf5c6bd12d3ce64f49364258c1b8fe126cbce6c01390508c1709d4fde3RUN
CORE_VER=v0.2.0 HUGECTR_DEV_MODE=false HUGECTR_VER=v3.5 HWLOC_VER=2.4.1 INSTALL_HDFS=false MODELS_VER=v0.3.0 NVTAB_VER=v1.0.0 SYSTEMS_VER=v0.1.0 TF4REC_VER=v0.1.7 _CI_JOB_TOKEN= _HUGECTR_REPO=github.com/NVIDIA-Merlin/HugeCTR.git rm /usr/local/cuda/lib64/stubs/libcuda.so.1
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=/hugectr/onnx_converter:/usr/local/hugectr/lib::/core:/systems:/nvtabular:/transformers4rec:/models
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=/usr/local/hugectr/lib::/core:/systems:/nvtabular:/transformers4rec:/models
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/hugectr/lib:/usr/java/jdk-16.0.2/lib/server
04/07/2022 8:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LIBRARY_PATH=/usr/local/hugectr/lib:/usr/local/cuda/lib64/stubs:
04/07/2022 8:17 PM UTC
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