NVIDIA
NVIDIA
PyTorch
Container
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.

LayerLabelCreated
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com.nvidia.build.ref=e8f85235e9f68dd2395b328c55e571cbf6e1ab53
03/22/2022 7:02 PM UTC
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03/22/2022 7:02 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=33569136
03/22/2022 7:02 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=33569136
03/22/2022 7:02 PM UTC
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NVIDIA_BUILD_ID
03/22/2022 7:02 PM UTC
sha256:775c8d6f4c5131589a3055f9fb656c4072d07646ba713a4ff1da1a39f3585a0cCOPY
entrypoint.d/ /opt/nvidia/entrypoint.d/
03/22/2022 7:02 PM UTC
sha256:e4b105bef9a0766afe27b5916b8ef14766141736c58717420f59522db978d718RUN
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
03/22/2022 7:02 PM 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
03/22/2022 7:02 PM 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
03/22/2022 7:02 PM UTC
sha256:312f4a0d232a53f78011e825559e0d89d68ef02d167c8221e6c96e64e2593f80RUN
PYVER=3.8 pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl
03/22/2022 7:02 PM UTC
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