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tensorflow/c/eager/immediate_execution_distributed_manager.h
int keep_alive_secs) = 0; // Set up a multi-client distributed execution environment. Must be called // on all tasks in the cluster. This call internally coordinates with other // tasks to initialize the eager context and TF server for multi-client // execution. virtual Status EnableCollectiveOps(const ServerDef& server_def) = 0; // Check if the remote task is alive.
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tensorflow/c/eager/immediate_execution_context.h
#if !defined(IS_MOBILE_PLATFORM) // Set up a multi-client distributed execution environment. Must be called on // all tasks in the cluster. // This call internally coordinates with other tasks to initialize the eager // context and TF server for multi-client execution. virtual Status EnableCollectiveOps(const ServerDef& server_def) = 0;
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CONTRIBUTING.md
decide to start on an issue, leave a comment so that other people know that you're working on it. If you want to help out, but not alone, use the issue comment thread to coordinate. ### Contribution guidelines and standards Before sending your pull request for [review](https://github.com/tensorflow/tensorflow/pulls), make sure your changes are consistent with the guidelines and follow the
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ci/official/wheel_test/test_import_api_packages.py
self.packages_for_skip = [ "tensorflow.distribute.cluster_resolver", "tensorflow.lite.experimental.authoring", "tensorflow.distribute.experimental.coordinator", "tensorflow.summary.experimental", "tensorflow.distribute.coordinator", "tensorflow.distribute.experimental.partitioners", ] def test_import_runtime(self): """Try to import all packages from api packages file one by one."""
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RELEASE.md
* `tf.distribute` * Opened an experimental API, `tf.distribute.experimental.coordinator.get_current_worker_index`, for retrieving the worker index from within a worker, when using parameter server training with a custom training loop. * `tf.experimental.dtensor`
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