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:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
/bin/bash
03/04/2022 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4HEALTHCHECK
&{["NONE"] "0s" "0s" "0s" '\x00'}
03/04/2022 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CORE_VER=main DASK_VER=2021.11.2 MODELS_VER=main NVTAB_VER=v0.11.0 TF4REC_VER=v0.1.6 rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/node-fetch
03/04/2022 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CORE_VER=main DASK_VER=2021.11.2 MODELS_VER=main NVTAB_VER=v0.11.0 TF4REC_VER=v0.1.6 rm -rf /opt/conda/share/jupyter/lab/staging/node_modules/marked
03/04/2022 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
CORE_VER=main DASK_VER=2021.11.2 MODELS_VER=main NVTAB_VER=v0.11.0 TF4REC_VER=v0.1.6 rm -rf /repos
03/04/2022 8:07 AM UTC
sha256:6451bd6a9d2c9ec16563ee5ac224b078da97a43d69b94562e4fb030fda97be7dRUN
CORE_VER=main DASK_VER=2021.11.2 MODELS_VER=main NVTAB_VER=v0.11.0 TF4REC_VER=v0.1.6 pip install numba==0.53.1 numpy==1.22.2 --no-deps
03/04/2022 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=/models:/transformers4rec:/nvtabular:/core:
03/04/2022 8:07 AM UTC
sha256:4e09d1c3699fe01c9bc1b5acfb857e43cb5952a5bf585ea4955701a53e1e94aaRUN
CORE_VER=main DASK_VER=2021.11.2 MODELS_VER=main NVTAB_VER=v0.11.0 TF4REC_VER=v0.1.6 git clone https://github.com/NVIDIA-Merlin/Models.git /models/ &&
  cd /models/ &&
  git checkout ${MODELS_VER} &&
  pip install -e . --no-deps
03/04/2022 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PYTHONPATH=/transformers4rec:/nvtabular:/core:
03/04/2022 8:06 AM UTC
sha256:f64202b4a7574e9112bdb00dc71f9ea8fdc36cceb5b0165b9f20e4077a78ab31RUN
CORE_VER=main DASK_VER=2021.11.2 MODELS_VER=main NVTAB_VER=v0.11.0 TF4REC_VER=v0.1.6 git clone https://github.com/NVIDIA-Merlin/Transformers4Rec.git /transformers4rec &&
  cd /transformers4rec/ &&
  git checkout ${TF4REC_VER} &&
  pip install -e . --no-deps
03/04/2022 8:06 AM UTC
...

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.