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Google
TensorFlow
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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
4604ba65e05369e3cb18702d67a5b0d2be6d8e3da6d32d9b49849848ad53d41aCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
03/10/2021 10:53 PM UTC
4c0ecedffd3234301e8af0fb43e6b3cc906cec88f97cea680d94a1dd20042f27ARG
NVIDIA_BUILD_REF
03/10/2021 10:53 PM UTC
c91ab1ed2894575b704bc8626247cc9cb2494a36a9e88ced4c76eeb95992c08aLABEL
com.nvidia.build.id=20726338
03/10/2021 10:53 PM UTC
91a2db2288ae81562059f4440f43f2629b63d27c87e1d8b2fdf2f492d61c3520ENV
NVIDIA_BUILD_ID=20726338
03/10/2021 10:53 PM UTC
9471340b00fd7785b5167a918615b82a41ca8de9f81d76ea7886a4d3dd2a9d55ARG
NVIDIA_BUILD_ID
03/10/2021 10:53 PM UTC
cc99fe85a82920d110b7dfd31ac10b03aa0e0f426c5071e1b3fedbf57dd6e0a3RUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.03-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 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 ${_CUDA_COMPAT_PATH}/lib
03/10/2021 10:53 PM UTC
e490ae42131dcca071073e5f1e5c15873f6cf59f1a103423f53844b4414c81cdRUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.03-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
03/10/2021 10:53 PM UTC
342b97fc0f264136b8b5e6cb73346fe99c5ffb828d9465905061c462a511a5c4ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
03/10/2021 10:53 PM UTC
e24c2cfac31c8ea37d3095341a701df6cee00ca783452d68e5d6377582c0e727RUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.03-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)deb.*$/\1/p")tar &&
  FILE=$(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
03/10/2021 10:53 PM UTC
a4a4fbe7d3552e36720256c5a080249276f97c78fb49b059c74bdbfa35e19971RUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.03-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir -r nvidia-examples/bert/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/UNet_Industrial/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/unet3d_tf/requirements.txt &&
  sed -i 's/SimpleITK==1.1.0/SimpleITK==2.0.1/' nvidia-examples/vnet_tf/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/vnet_tf/requirements.txt &&
  if [[ `pip list|grep cupy` ]]; then sed -i 's/cupy//' nvidia-examples/NCF/requirements.txt; fi &&
  pip install --no-cache-dir -r nvidia-examples/NCF/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/resnet50v1.5/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/gnmt_v2/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/ssdv1.2/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/UNet_Medical/requirements.txt
03/10/2021 10:52 PM UTC
...

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