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CONTRIBUTING.md
- Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the [guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu); op_.reset(new TF_OperationDescription(g_, op_type_.c_str(), g_->graph.NewName(op_name).c_str()));
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
auto posix_file = static_cast<PosixFile*>(file->plugin_file); close(posix_file->fd); // This would be safe to free using `free` directly as it is only opaque. // However, it is better to be consistent everywhere. plugin_memory_free(const_cast<char*>(posix_file->filename)); delete posix_file; } static int64_t Read(const TF_RandomAccessFile* file, uint64_t offset, size_t n,
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RELEASE.md
[`tf.distribute.experimental.PreemptionCheckpointHandler`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/PreemptionCheckpointHandler) to handle worker preemption/maintenance and cluster-wise consistent error reporting for `tf.distribute.MultiWorkerMirroredStrategy`. Specifically, for the type of interruption with advance notice, it
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tensorflow/c/eager/c_api_experimental.h
bool use_tfrt); // Returns the context_id from the EagerContext which is used by the // EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during
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