ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA
NVIDIA
Merlin PyTorch Training
Container
NVIDIA
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"]
01/14/2022 8:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) ENTRYPOINT []
01/14/2022 8:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
/bin/bash -c #(nop) HEALTHCHECK &{["NONE"] "0s" "0s" "0s" '\x00'}
01/14/2022 8:31 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c echo $(du -h --max-depth=1 /)
01/14/2022 8:31 AM UTC
sha256:59488654099edc7cfd2a804b1b25067d9d134025049bb8c3ca25fe8210f8ce4aRUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/fast-json-patch
01/14/2022 8:31 AM UTC
sha256:cd024980856e00b896168f4705dfc0113df1783123564a02878120b0ecb3e184RUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install 'websockets>=10.0'
01/14/2022 8:31 AM UTC
sha256:08ff89835bb06fd4464fa7d97e8bd93f82cdb34a0f4d297791a4fe38aee9c6f2RUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip uninstall sqlparse -y
01/14/2022 8:31 AM UTC
sha256:f347fedb037648e12e1396a2e79303beb0205df766f779b1f14101d063bc272dRUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install dask==2021.09.1 distributed==2021.09.1 dask[dataframe]==2021.09.1 dask-cuda
01/14/2022 8:31 AM UTC
sha256:ec4bfa65f2d935f1e6f5e9dd46a0fb074552bd5915cf24cbab2805607427ca7fRUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c rm -rf /repos
01/14/2022 8:31 AM UTC
sha256:b0df989bbdbd2c64b1bcbb630919f046c1ece2034da5fa2eaa728ac8e499b72fRUN
NVTAB_VER=vnightly RELEASE=false TF4REC_VER=vnightly /bin/bash -c pip install torchmetrics==0.3.2
01/14/2022 8:31 AM UTC
...