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ci/official/requirements_updater/WORKSPACE
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CONTRIBUTING.md
changes to lower the maintenance cost. * Bug fixes also generally require unit tests, because the presence of bugs usually indicates insufficient test coverage. * Keep API compatibility in mind when you change code in core TensorFlow, e.g., code in [tensorflow/core](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core) and
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.bazelrc
# --incompatible_remove_legacy_whole_archive flag does. # This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate # Tensorflow to the default, however test coverage wasn't enough to catch the # errors. # There is ongoing work on Bazel team's side to provide support for transitive # shared libraries. As part of migrating to transitive shared libraries, we
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tensorflow/c/eager/tape.h
// The entry, "FusedBatchNorm": [1, 2, 3, 4], indicates that only the gradient // corresponding to index 0 is used, and the gradient values at indices 1-4 are // ignored (and hence can be None). The backprop algorithm can then leverage // this by not constructing zeros to pass for those indices. std::unordered_map<string, std::unordered_set<int>>* FunctionsAcceptingNoneForIndicesMap() { static auto* const m =
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RELEASE.md
and newer CPUs.) * [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07) * For older CPUs, oneDNN optimizations are disabled by default. * **Windows x86 package:** oneDNN optimizations are disabled by default.
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