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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory.
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.github/bot_config.yml
* Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup). * If you have above configuration and using _**Ubuntu/Linux**_ platform - * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable. * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574.
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tensorflow/api_template_v1.__init__.py
_logging.warning(""" TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0. Please upgrade your code to TensorFlow 2.0: * https://www.tensorflow.org/guide/migrate Or install the latest stable TensorFlow 1.X release: * `pip install -U "tensorflow==1.*"` Otherwise your code may be broken by the change. """)
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SECURITY.md
inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape inference functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface) are skipped, and any checks implemented inside the shape inference code are not executed. The security impact of skipping those checks should be low, since the attack
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