Skip to main content
Google
TensorFlow
Container
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
    ...

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.