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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
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com.nvidia.build.ref=905bb4fb6b610fef1486f84e59ee1550e40a1bd6
05/03/2024 12:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=91418384
05/03/2024 12:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=91418384
05/03/2024 12:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
05/03/2024 12:55 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
05/03/2024 12:55 AM UTC
sha256:24ef5687176a9716428c5c8065420e1e94bebdc9138bc45401f288632de07214RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= 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 ${_CUDA_COMPAT_PATH}/lib
05/03/2024 12:55 AM UTC
sha256:a633055d51ae729f61e3d5a882a02034f91bda1ca6b6264b29baeda6f2470b0dRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
05/03/2024 12:55 AM UTC
sha256:04de13de451a692cd5953858dc42d853d3da10683c4686a7056c3e2e9ebc039dRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
05/03/2024 12:55 AM UTC
sha256:0e63003026b9eaf0cee620080be5eac54513a7aeb96f0b10cb000affc174acceRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${L4T}" = "1" ]; then echo "Not installing Polygraphy in iGPU container until version is specified."; else 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==${POLYGRAPHY_VERSION}; fi
05/03/2024 12:55 AM 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
05/03/2024 12:55 AM UTC
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