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
a18a15ebc121ff90987959db92233a0dc1b57dfa5541c3aeb970fc8f0f5bde78CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
07/16/2020 9:54 PM UTC
33f6032aaf018fcb90b8eca4950a7d7e66d110909f76895a2646bb7db183c5dcENV
NVIDIA_BUILD_ID=14714849.1
07/16/2020 9:54 PM UTC
3125af2756e3d01d67f7d604869dedadcb54ab6da415828e3070d1db2fdf23eeRUN
cd $(pip show tensorboard_plugin_dlprof | grep Location | awk '{print $2}') &&
  curl -Lo- http://sqrl/dldata/tensorboard/releases/tensorboard_20.07.1.patch | patch -p4
07/16/2020 9:54 PM UTC
896a03b23b9c022ef56e4f54c5918f296cfa2585bd1bf7e6b43fbabcffae09ddLABEL
com.nvidia.build.ref=73eb5774179a9587153717e6cda1a5136b4fd436
07/13/2020 2:45 AM UTC
e1b7b9a61be6fac1f4f75b03306aa5f3ca967fc68a33e9b4ffb4317747ab7bcbARG
NVIDIA_BUILD_REF
07/13/2020 2:45 AM UTC
c035d24cbef9ed5982ced62988a01ee0bc738489660dfb62167694aa167172e9LABEL
com.nvidia.build.id=14714849
07/13/2020 2:45 AM UTC
b84cd05fd7cb823e2fbcd45cf2d974d3ed557589c5b94e322775dad2c7a41a34ENV
NVIDIA_BUILD_ID=14714849
07/13/2020 2:45 AM UTC
2e8b9530761cabd7a90dcd59974cc3b2ba3fcbd49a2ffa4fc489a3410ce8dd32ARG
NVIDIA_BUILD_ID
07/13/2020 2:45 AM UTC
b60594c4b22d757c069eacb08c1503d77b30e8896092f7297a4e5d373f4e8218ENV
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
07/13/2020 2:45 AM UTC
c512b24f723309dc5c960cc58d2aad91c0afac9f87b2eb8cc8764516374e721eRUN
NVIDIA_PYTORCH_VERSION=20.07 PYTORCH_BUILD_VERSION=1.6.0a0+9907a3e 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
07/13/2020 2:45 AM UTC
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