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tensorflow/c/c_api.cc
NodeDef* const node_def = graph_def.add_node(); *node_def = node->def(); } } *graph_def.mutable_library() = graph.flib_def().ToProto(); if (flags::Global().more_stack_traces.value()) { *graph_def.mutable_debug_info() = graph.BuildDebugInfo(); } session->graph->mu.unlock(); status->status = session->session->Extend(std::move(graph_def));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
tensorflow::StackTracesMap stack_traces; for (const Node* n : fn_body->graph.nodes()) { stack_traces[n->name()] = n->GetStackTrace(); } TF_Function* tf_function = new TF_Function(); tf_function->record = new tensorflow::FunctionRecord( std::move(fdef), std::move(stack_traces), false); return tf_function; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
CancellationManager* cancellation_manager_ TF_GUARDED_BY(execution_mutex_); // Outputs: std::vector<TensorHandlePtr> op_outputs_ TF_GUARDED_BY(execution_mutex_); // TF_Status is an incomplete type and so can't be stack allocated. To avoid // unnecessary allocations each Execute call, we keep one heap-allocated // version for the thread. StatusPtr status_ TF_GUARDED_BY(execution_mutex_); const std::string device_;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1)