| /* Copyright 2019 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_LITE_KERNELS_CPU_BACKEND_THREADPOOL_H_ |
| #define TENSORFLOW_LITE_KERNELS_CPU_BACKEND_THREADPOOL_H_ |
| |
| #include "tensorflow/lite/kernels/cpu_backend_context.h" |
| #include "tensorflow/lite/kernels/internal/compatibility.h" |
| |
| #ifdef TFLITE_WITH_RUY |
| #include "ruy/context.h" // from @ruy |
| #include "ruy/thread_pool.h" // from @ruy |
| #else |
| #include "public/gemmlowp.h" |
| #endif |
| |
| namespace tflite { |
| namespace cpu_backend_threadpool { |
| |
| #ifdef TFLITE_WITH_RUY |
| |
| using Task = ruy::Task; |
| |
| template <typename TaskType> |
| void Execute(int tasks_count, TaskType* tasks, |
| CpuBackendContext* cpu_backend_context) { |
| TFLITE_DCHECK_LE(tasks_count, cpu_backend_context->max_num_threads()); |
| cpu_backend_context->ruy_context()->mutable_thread_pool()->Execute( |
| tasks_count, tasks); |
| } |
| |
| #else // not TFLITE_WITH_RUY |
| |
| using Task = gemmlowp::Task; |
| |
| template <typename TaskType> |
| void Execute(int tasks_count, TaskType* tasks, |
| CpuBackendContext* cpu_backend_context) { |
| TFLITE_DCHECK_LE(tasks_count, cpu_backend_context->max_num_threads()); |
| cpu_backend_context->gemmlowp_context()->workers_pool()->Execute(tasks_count, |
| tasks); |
| } |
| |
| #endif |
| |
| } // namespace cpu_backend_threadpool |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_KERNELS_CPU_BACKEND_THREADPOOL_H_ |