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
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=762f90103c0bdfc1c345756b1c4584d2d9448c11
    04/28/2021 8:19 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    04/28/2021 8:19 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=22596046
    04/28/2021 8:19 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=22596046
    04/28/2021 8:19 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    04/28/2021 8:19 PM UTC
    sha256:d9e45224661abf9c18d98ac7370f72c3184074e86ad983557dc86ef6804fb47cRUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-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 ${_CUDA_COMPAT_PATH}/lib
    04/28/2021 8:19 PM UTC
    sha256:d3e9d49dc645717d44a134a1c9102a7624e9b6c134690c761e631801ff9de16dRUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
    04/28/2021 8:18 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
    04/28/2021 8:18 PM UTC
    sha256:caaaa3206fcbdf3e06f822ebb4a5d490b4cc4aaa1b6b490fb71b0b6f4d880f36RUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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
    04/28/2021 8:18 PM UTC
    sha256:4ea47b2342fb6233d23f0ff4c15f00f34647b1ed52757fa62c50af7ba668ff5eRUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-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
    04/28/2021 8:17 PM UTC
    ...