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tensorflow/c/c_api_experimental.h
TF_Status* status); // Aborts all ongoing collectives with the specified status. After abortion, // subsequent collectives will error with this status immediately. To reset the // collectives, create a new EagerContext. // // This is intended to be used when a peer failure is detected.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
const int in_flight_nodes_limit) : status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the // parallel device.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 07:47:20 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/jit/kernels/xla_ops.cc
} return &it->second; } void RunInThreadPoolIfCollectivesPresent( const XlaCompiler::CompilationResult& compilation_result, std::function<void()> execution_fn) { // If we are using collectives, we need to run in a separate threadpool. if (compilation_result.collective_info.has_value()) { GetOrCreateThreadPoolForCollective(*compilation_result.collective_info) ->Schedule(execution_fn); } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 22:46:36 UTC 2024 - 41.4K bytes - Viewed (0)