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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.

NVIDIA AI Enterprise Supported
LayerLabelCreated
4248d7127fc2b07480c7da3a4b1f52fda09d19e4627c03bc7bde32dde1db3d44CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
09/11/2020 3:00 AM UTC
7076a286a36600ba5531ccc12471f9ec20a25d8f074ea85dbe7ced1f96cef735ARG
NVIDIA_BUILD_REF
09/11/2020 3:00 AM UTC
f821d0171ab2a5f6a9a061ca0ec780dfca40fe57e101c4d03fcdc20baef95699LABEL
com.nvidia.build.id=16003719
09/11/2020 3:00 AM UTC
00c6fdaac1933d18508bb407acd008aac78e240be066acedb90911ce512eea0fENV
NVIDIA_BUILD_ID=16003719
09/11/2020 3:00 AM UTC
5cd67188d461921bbd8dc27c2a946fc31ad6c0b0305a0f974116108327c11521ARG
NVIDIA_BUILD_ID
09/11/2020 3:00 AM UTC
9a9150899b7a6db43d48d388c272c564ba9aecc751ac4d81b8329c4975846d3bENV
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
63865c5d508f1d831b0ab2f0d095e798eb810a806f14b38a1c38cfb63adefe02RUN
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
80f99991433609851b2653292cb4dc9eb9e42975b887a82e01fb4642285c7939ENTRYPOINT
/usr/local/bin/nvidia_entrypoint.sh
09/11/2020 3:00 AM UTC
e9dbd142709ffa788d040780ffaff24b17371374f63f23f16067d8f3ef9a487cCOPY
nvidia_entrypoint.sh /usr/local/bin
09/11/2020 3:00 AM UTC
c9ef453d86e91fa86871cceea807c78d5945cab44bcf76245b28d9252844ed7cRUN
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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