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ci/official/utilities/code_check_changed_files.bats
bash -c 'clang-format-12 --style=Google {} | git diff --no-index {} -' \ | tee $BATS_TEST_TMPDIR/needs_help.txt echo "You can use clang-format --style=Google -i <file> to apply changes to a file." [[ ! -s $BATS_TEST_TMPDIR/needs_help.txt ]] } # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines.
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CONTRIBUTING.md
### Contributing code If you have improvements to TensorFlow, send us your pull requests! For those just getting started, GitHub has a [how-to](https://help.github.com/articles/using-pull-requests/). TensorFlow team members will be assigned to review your pull requests. Once the pull requests are approved and pass continuous integration checks, a TensorFlow
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RELEASE.md
* Benchmark for tf.scan in graph and eager modes. * Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D. * Making ids unique in `nn.embedding_lookup_sparse`. This helps to reduce RPC calls for looking up the embeddings when there are repeated ids in the batch. * Support indicator column in boosted trees.
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configure.py
write_to_bazelrc('build --define=override_eigen_strong_inline=true') def config_info_line(name, help_text): """Helper function to print formatted help text for Bazel config options.""" print('\t--config=%-12s\t# %s' % (name, help_text)) def configure_ios(environ_cp): """Configures TensorFlow for iOS builds.""" if not is_macos(): return
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tensorflow/c/c_api_experimental.cc
// caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph // functions, and their send/recvs corountines). config.set_inter_op_parallelism_threads(1);
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