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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.

NVIDIA AI Enterprise Supported
LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=274fff44becb9e96ab3e4d344dad2c05c56138e8
09/11/2020 3:00 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
09/11/2020 3:00 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=16003719
09/11/2020 3:00 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=16003719
09/11/2020 3:00 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
09/11/2020 3:00 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/opt/conda/bin:/opt/cmake-3.14.6-Linux-x86_64/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
09/11/2020 3:00 AM UTC
sha256:0ba43f612fecf8277eeea7eb4d7e83932d7f8166bb097c191e8147a24732a832RUN
NVIDIA_PYTORCH_VERSION=20.09 PYTORCH_BUILD_VERSION=1.7.0a0+8deb4fe PYVER=3.6 BASE=0 DEVEL=0 SAMPLES=0 PYTHON=1 /nvidia/build-scripts/installTRT.sh &&
  mv /usr/src/tensorrt /opt &&
  ln -s /opt/tensorrt /usr/src/tensorrt
09/11/2020 3:00 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
09/11/2020 3:00 AM UTC
sha256:d59ebad2bc08b0d4745fd1358e9425eb442e71a09ae745727bccbab62533f8ddCOPY
nvidia_entrypoint.sh /usr/local/bin
09/11/2020 3:00 AM UTC
sha256:2c97b8ccfa66f26ed2d181c7b9e9fe48c58a65b70b932b0f4086619337c362b5RUN
NVIDIA_PYTORCH_VERSION=20.09 PYTORCH_BUILD_VERSION=1.7.0a0+8deb4fe PYVER=3.6 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
09/11/2020 3:00 AM UTC
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