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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.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=2235e97cfdf0c73e377b69c5420a10e4efa84fe7
02/20/2025 1:38 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=2235e97cfdf0c73e377b69c5420a10e4efa84fe7
02/20/2025 1:38 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=143088496
02/20/2025 1:38 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=143088496
02/20/2025 1:38 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=143088496
02/20/2025 1:38 AM UTC
sha256:8607f240f74e37a3b9fe5cf5fb391be1d2fb19c401727f84c39394f457f3c0e6RUN
NVIDIA_PYTORCH_VERSION=25.02 PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae NVFUSER_BUILD_VERSION=6627725 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali cd /opt/pytorch/pytorch/third_party/gloo &&
  patch -p1 < /gloo.patch &&
  cd - &&
  rm /gloo.patch
02/20/2025 1:38 AM UTC
sha256:56a3b46a1de668ab212daf271d07abc1ff6c7d769d817b6b3a60737230e8aaa7COPY
gloo.patch /gloo.patch
02/20/2025 1:38 AM UTC
sha256:d5e2c99ad92da164a2c842ff068c4aaf924842c2aede4e083137e49efaeca4cdCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
02/20/2025 1:38 AM UTC
sha256:7593d282810f529788141c9e50729faf92b49d19896e5c590c9ccd6fb37bf80cRUN
NVIDIA_PYTORCH_VERSION=25.02 PYTORCH_BUILD_VERSION=2.7.0a0+ecf3bae NVFUSER_BUILD_VERSION=6627725 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=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
02/20/2025 1:38 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
TORCH_NCCL_USE_COMM_NONBLOCKING=0
02/20/2025 1:38 AM UTC
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