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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.

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10/17/2025 9:35 AM UTC
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10/17/2025 9:35 AM UTC
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10/17/2025 9:35 AM UTC
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NVIDIA_BUILD_ID=222058774
10/17/2025 9:35 AM UTC
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10/17/2025 9:35 AM UTC
sha256:7f2fe46a49037e3ee58d54b6598b19de7033486e66a2b6248acab3f03a8838e1RUN
NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 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 -
10/17/2025 9:35 AM UTC
sha256:4b76636c240cae1e4e61580aa06fc6b595d57c550d1d2e048583fa1bf8e06913COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
10/17/2025 9:35 AM UTC
sha256:3ba948f6636da97e9e917e150468e0356803fd975ffb5e9ddd9470c5fd13b495COPY
constraint.txt /etc/pip/original_constraint.txt
10/17/2025 9:35 AM UTC
sha256:322dac45e43abf2ca9112ab1dbd79dc625ac66c5fb9896d7d52e72dfd542a1dfCOPY
restricted_constraint.txt /etc/pip/constraint.txt
10/17/2025 9:35 AM UTC
sha256:39dcd3f9c043db980e05846b5fa15d4397e8b27f3f36f8fc93562c1888255edcRUN
NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 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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...

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