NVIDIA
NVIDIA
PyTorch
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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.

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09/17/2025 6:54 PM UTC
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09/17/2025 6:54 PM UTC
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com.nvidia.build.id=210907839
09/17/2025 6:54 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=210907839
09/17/2025 6:54 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
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09/17/2025 6:54 PM UTC
sha256:7f814033c6861c202dd4f52d0acd6a5595f3e361dfc6d0586edfd10ea8e03a7eRUN
NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=arm64 PYVER=3.12 L4T=1 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali cd /opt/pytorch/pytorch/ &&
  sed -i "s#    if (props.computeMode != cudaComputeModeDefault) {#    int computeMode = -1;\n    TP_CUDA_CHECK(cudaDeviceGetAttribute(\&computeMode, cudaDevAttrComputeMode, device.index));\n    if (computeMode != cudaComputeModeDefault) {#g" ./third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc &&
  cd -
09/17/2025 6:54 PM UTC
sha256:7e9bccac1139c5672d50d5af2b2e5f1fb442c970d79e8fcb08dab8a0bb56e84bCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
09/17/2025 6:54 PM UTC
sha256:db94b2091b8c8bff2d44459373d98a8204007f27338b50e207b18fab2f6c5f38COPY
constraint.txt /etc/pip/original_constraint.txt
09/17/2025 6:54 PM UTC
sha256:61ffc8c3d7bee7122b9f6ff3ab0552bb9ac0152dad72018914e8f041d835457dCOPY
restricted_constraint.txt /etc/pip/constraint.txt
09/17/2025 6:54 PM UTC
sha256:e53f74b65a5dbf442e2db3d62bd05e4363749cc52e131ddc039ec39cd7e572deRUN
NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=arm64 PYVER=3.12 L4T=1 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali 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
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