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NVIDIA
NVIDIA
PyTorch
Container
NVIDIA
NVIDIA
PyTorch

PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.

NVIDIA AI Enterprise Supported
LayerLabelCreated
79a2792f8a9126381765d52aa1475f4749f504889ca82ac6643c4c33144dd244CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
12/05/2024 11:07 PM UTC
a5f8220573412080373bae61a485243710ecd3d5686bbb181b759700b8fabefaARG
NVIDIA_BUILD_REF=36e6c838d631e94a47406a4e952221247afcabc0
12/05/2024 11:07 PM UTC
7fb5c1627147b846dbe90a7cef8c45e733a3570803bbb9d3b8b038e85d091e6aLABEL
com.nvidia.build.id=126674149
12/05/2024 11:07 PM UTC
9d7fda4b129b12381fcdc87612835a31d227146664ec356759f61fc75d8fcda0ENV
NVIDIA_BUILD_ID=126674149
12/05/2024 11:07 PM UTC
1ac45f304f940d663c72438ee7252c5f4cdf9ec7e35bc2b1cf3248bfd604314cARG
NVIDIA_BUILD_ID=126674149
12/05/2024 11:07 PM UTC
230aad151f6296a85bdacf84be2c69fd3675d53a922fa7d622858d820826659aCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
12/05/2024 11:07 PM UTC
24799ddf2810b2aab6f6ed368661cd7a7051b083563383d832f8c39f08e744b0RUN
NVIDIA_PYTORCH_VERSION=24.12 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
  echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
  ldconfig &&
  rm -f ${_CUDA_COMPAT_PATH}/lib
12/05/2024 11:07 PM UTC
32df84d46ceb85ac32e0eb02bc826000517902ea3debf25ce824dd7aae163b72ENV
CUDA_MODULE_LOADING=LAZY
12/05/2024 11:07 PM UTC
5a513a73b70f53164bbdd8fabad07e24e1606dd85fa7661ab04973282c7bca00ENV
TORCH_CUDNN_V8_API_ENABLED=1
12/05/2024 11:07 PM UTC
57fbf1c92f20a2e94084bbc9a270b3991bcb8950e289045d452c683f30cf1aeeRUN
NVIDIA_PYTORCH_VERSION=24.12 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else NVTE_BUILD_THREADS_PER_JOB=8 pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}; fi
12/05/2024 11:07 PM UTC
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