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PyTorch
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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
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=3e3c067dd015e6d16d2cf59ac18e9f2e2466b68a
10/03/2024 10:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=3e3c067dd015e6d16d2cf59ac18e9f2e2466b68a
10/03/2024 10:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=114410974
10/03/2024 10:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=114410974
10/03/2024 10:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=114410974
10/03/2024 10:17 PM UTC
sha256:a186900671ab62e1dea364788f4e84c156e1825939914cfb5a6770be2b58b4daCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
10/03/2024 10:17 PM UTC
sha256:52b299fe89343fb2d545574cff4c31fb177a93c88e368aabb4f7cc3d01f401b6RUN
NVIDIA_PYTORCH_VERSION=24.10 PYTORCH_BUILD_VERSION=2.5.0a0+e000cf0 NVFUSER_BUILD_VERSION=f669fcf TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 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 ${_CUDA_COMPAT_PATH}/lib
10/03/2024 10:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
CUDA_MODULE_LOADING=LAZY
10/03/2024 10:17 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_CUDNN_V8_API_ENABLED=1
10/03/2024 10:17 PM UTC
sha256:fa173800c2e70de79b831b195c91a1f16863764d56daaf67c11bbd7f869794ffRUN
NVIDIA_PYTORCH_VERSION=24.10 PYTORCH_BUILD_VERSION=2.5.0a0+e000cf0 NVFUSER_BUILD_VERSION=f669fcf TARGETARCH=arm64 PYVER=3.10 L4T=1 TARGETARCH=arm64 PYVER=3.10 if [ "${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
10/03/2024 10:17 PM UTC
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