1 /* Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_CORE_GRAPPLER_OPTIMIZERS_EVALUATION_UTILS_H_ 17 #define TENSORFLOW_CORE_GRAPPLER_OPTIMIZERS_EVALUATION_UTILS_H_ 18 19 #define EIGEN_USE_THREADS 20 21 #include "tensorflow/core/framework/device_base.h" 22 #include "tensorflow/core/framework/node_def.pb.h" 23 #include "tensorflow/core/framework/op_kernel.h" 24 #include "tensorflow/core/framework/tensor.pb.h" 25 #include "tensorflow/core/lib/gtl/inlined_vector.h" 26 27 namespace Eigen { 28 class ThreadPoolInterface; 29 class ThreadPoolWrapper; 30 } // namespace Eigen 31 32 namespace tensorflow { 33 namespace grappler { 34 35 class DeviceSimple : public DeviceBase { 36 public: 37 DeviceSimple(); 38 ~DeviceSimple(); 39 40 Status MakeTensorFromProto(const TensorProto& tensor_proto, 41 const AllocatorAttributes alloc_attrs, 42 Tensor* tensor) override; 43 GetAllocator(AllocatorAttributes attr)44 Allocator* GetAllocator(AllocatorAttributes attr) override { 45 return cpu_allocator(); 46 } 47 48 private: 49 DeviceBase::CpuWorkerThreads eigen_worker_threads_; 50 std::unique_ptr<Eigen::ThreadPoolInterface> eigen_threadpool_wrapper_; 51 std::unique_ptr<Eigen::ThreadPoolDevice> eigen_device_; 52 }; 53 54 Status EvaluateNode(const NodeDef& node, 55 const gtl::InlinedVector<TensorValue, 4>& inputs, 56 DeviceBase* cpu_device, ResourceMgr* resource_mgr, 57 gtl::InlinedVector<TensorValue, 4>* output); 58 59 } // end namespace grappler 60 } // end namespace tensorflow 61 62 #endif // TENSORFLOW_CORE_GRAPPLER_OPTIMIZERS_EVALUATION_UTILS_H_ 63