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PyTorch
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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
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com.nvidia.build.ref=8402d940f8ded3113c2c0ca85c9eb06163c399bf
12/02/2021 8:07 AM UTC
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12/02/2021 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=29870972
12/02/2021 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=29870972
12/02/2021 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
12/02/2021 8:07 AM UTC
sha256:a87b5eca8cbff475d94dcdebfcb863aa214c440a2546272ceee142416f448ae1COPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
12/02/2021 8:07 AM UTC
sha256:7faed12dbd3eb4fc023f1bae487a65ec08c853960f0e93ee85e0717b6062d581RUN
PYVER=3.8 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
12/02/2021 8:07 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
12/02/2021 8:02 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
12/02/2021 8:02 AM UTC
sha256:62cc1e90c9519e3e2ab0243440fd6dacbff3314f30d66d575db2f491ce6b3a23RUN
PYVER=3.8 pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl
12/02/2021 8:02 AM UTC
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