Google
Google
TensorFlow
Container
Google
Google
TensorFlow

TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.

LayerLabelCreated
2122ad7bb661eef44ad71c013426f1a20587edf9d53fea953abf063124a505dcCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
06/14/2022 4:53 AM UTC
6484ff9325623dd0b28b48a5d14817ac735b5e37a11f8ef7a7aeccc3bb06f8dcARG
NVIDIA_BUILD_REF
06/14/2022 4:53 AM UTC
8e8644657c4412ee7765c948aa150471de4fca2d70dea92432ffd537b4e66e54LABEL
com.nvidia.build.id=39176389
06/14/2022 4:53 AM UTC
ea32e023f271f45b4693c198e734c4c7bdb1fd06469f7c0288786a01c9789368ENV
NVIDIA_BUILD_ID=39176389
06/14/2022 4:53 AM UTC
30bf69dc9cde337bd6599ecdd97c9c4a8b6b6fa64c55fb32fcb05548bc6cb76eARG
NVIDIA_BUILD_ID
06/14/2022 4:53 AM UTC
bd2257fc7d17912885498d77f3fd7d9208e6356ad02d1199ab1687a5f1d4eb3cRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.06-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 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 ${_CUDA_COMPAT_PATH}/lib
06/14/2022 4:53 AM UTC
16f85fd9d8e39251d69b60f2d1f5405c63ec7403954aca78dfc52f0f1a4e70e1RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.06-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
06/14/2022 4:53 AM UTC
087fad05c0a546f0b706d5c9b5db905bfde5f8bf7317dd115e5ad3dcac9d8f08ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
06/14/2022 4:53 AM UTC
f277d85a4878a207404edac6367965ebd9b36bd4e52e8268a063a09b57656454RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.06-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar &&
  FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal) &&
  wget --quiet $URL/$FILE -O - | tar -xz &&
  PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))') &&
  pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl &&
  pip install TensorRT-*/graphsurgeon/graphsurgeon-*.whl &&
  pip install TensorRT-*/uff/uff-*.whl &&
  mv /usr/src/tensorrt /opt &&
  ln -s /opt/tensorrt /usr/src/tensorrt &&
  rm -r TensorRT-* &&
  UFF_PATH=$(pip show uff | sed -n 's/Location: \(.*\)$/\1/p')/uff &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
06/14/2022 4:53 AM UTC
017b01a3b83c9e53c7e8c9fcc6d83eaf992d0c00c4a1dda033dd0bbbdab16253COPY
nvidia-examples /workspace/nvidia-examples
06/14/2022 4:53 AM UTC
...

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