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
1a5acbaa5f77560b06efefb116d9978e69d9881f5a0ba1e1a5541d27a2d8defdCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
05/03/2024 12:55 AM UTC
b2cba603e5e4d0afb8ad3f8f6033e3c807ebcd78537d007a192dc7a126668032LABEL
com.nvidia.build.id=91418384
05/03/2024 12:55 AM UTC
10c50e259095d3cc8faec08680ba9fb942079e5444d6ff718dc389d17cd99311ENV
NVIDIA_BUILD_ID=91418384
05/03/2024 12:55 AM UTC
3b26c775ebf31b867a312718fc7c45c4ff8e8d1110c0190315116f143f5e76cdARG
NVIDIA_BUILD_ID
05/03/2024 12:55 AM UTC
8876f82761d0b444d8f2a27273964191f778ea2fb72f06ad1138b50af439b2abARG
NVIDIA_BUILD_REF
05/03/2024 12:55 AM UTC
8d0d2539ef24c8248e4c0d73269b4c404df7e356c4bb6dbdc85c4afedf084778RUN
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 ${_CUDA_COMPAT_PATH}/lib
05/03/2024 12:55 AM UTC
6a9ed4dd91545d2489bcd2c819d394fe0e15863c712ac9c5473118f341e2dff7RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
05/03/2024 12:55 AM UTC
7fa78ef13661f63af2b4f3d8e73cfda2c19295e8b2842075c8a367b463e44698RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
05/03/2024 12:55 AM UTC
a08fa34a7f3a404bafa8fbaf3ea4cbc16aa277be70d0bab69c38b3252c463f7bRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.05-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
2cbea0fb009267000a89cb0d204b7b002e2cdcc630698656244307b9414c8d7dENV
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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