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ci/official/containers/linux_arm64/Dockerfile
COPY builder.packages.txt builder.packages.txt RUN /setup.packages.sh /builder.packages.txt RUN update-ca-certificates # Install devtoolset-9 in /dt10 with glibc 2.17 and libstdc++ 4.8, for building # manylinux2014-compatible packages. COPY builder.devtoolset/fixlinks_aarch64.sh /fixlinks.sh COPY builder.devtoolset/rpm-patch.sh /rpm-patch.sh COPY builder.devtoolset/build_devtoolset.sh /build_devtoolset.sh
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CONTRIBUTING.md
and [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python). TensorFlow has passed version 1.0 and hence cannot make non-backward-compatible API changes without a major release. Reviewers of your pull request will comment on any API compatibility issues [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md).
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RELEASE.md
checkpoint with a root object. This allows users to create a `Checkpoint` object that is compatible with Keras `model.save_weights()` and `model.load_weights`. The checkpoint is also compatible with the checkpoint saved in the `variables/` folder in the SavedModel. * When restoring, `save_path` can be a path to a SavedModel. The function
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tensorflow/BUILD
"@local_config_nccl//:__subpackages__", "@local_config_rocm//:__subpackages__", "@local_config_tensorrt//:__subpackages__", "@local_execution_config_platform//:__subpackages__", "@mkl_dnn_acl_compatible//:__subpackages__", "@ml_dtypes//:__subpackages__", "@nccl_archive//:__subpackages__", "@nvtx_archive//:__subpackages__", "@onednn//:__subpackages__", "@org_sqlite//:__subpackages__",
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.bazelrc
# This is the same as the official TensorFlow builds. # See https://developer.nvidia.com/cuda-gpus#compute # `compute_XY` enables PTX embedding in addition to SASS. PTX # is forward compatible beyond the current compute capability major # release while SASS is only forward compatible inside the current # major release. Example: sm_80 kernels can run on sm_89 GPUs but # not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.
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