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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
break; case FetchState::FINISHED: return TF_SetStatus(status, TF_OK, ""); } } return TF_SetStatus( status, TF_INTERNAL, "Control flow should never reach the end of RamFileBlockCache::Fetch."); } int64_t RamFileBlockCache::Read(const std::string& filename, size_t offset, size_t n, char* buffer, TF_Status* status) { if (n == 0) {
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CONTRIBUTING.md
`pip install -U tf-nightly` * Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch. 2. If you are changing the code and the docstring of a class/function/method, then you will need to [build TensorFlow from source](https://www.tensorflow.org/install/source).
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README.md
Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities: * Clone the TensorFlow repo and switch to the corresponding branch for your desired TensorFlow version, for example, branch `r2.8` for version 2.8. * Apply (that is, cherry-pick) the desired changes and resolve any code conflicts. * Run TensorFlow tests and ensure they pass.
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