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requirements_lock_3_12.txt
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requirements_lock_3_9.txt
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
std::unique_ptr<Thread> thread_; }; DeviceThread::~DeviceThread() { { tensorflow::mutex_lock l(execution_mutex_); execution_state_ = ExecutionState::kShuttingDown; } start_execute_.notify_one(); } void DeviceThread::AsyncWait(TF_Status* status) { tensorflow::mutex_lock l(execution_mutex_); TFE_ExecutorWaitForAllPendingNodes(executor_.get(), status);
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tensorflow/c/c_api_function.cc
} int TF_GraphNumFunctions(TF_Graph* g) { tensorflow::mutex_lock l(g->mu); return g->graph.flib_def().num_functions(); } int TF_GraphGetFunctions(TF_Graph* g, TF_Function** funcs, int max_func, TF_Status* status) { tensorflow::FunctionDefLibrary lib; { tensorflow::mutex_lock l(g->mu); lib = g->graph.flib_def().ToProto(); }
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tensorflow/c/c_api.h
TF_Status* status); // Creates a new operation - see `TF_NewOperation` for more details. // // The lock for `graph` must be held when calling this function. // // Unless implementing advanced behavior, like custom gradient functions, you // most likely need to call `TF_NewOperation` instead.
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