1/* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3Licensed under the Apache License, Version 2.0 (the "License"); 4you may not use this file except in compliance with the License. 5You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9Unless required by applicable law or agreed to in writing, software 10distributed under the License is distributed on an "AS IS" BASIS, 11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12See the License for the specific language governing permissions and 13limitations under the License. 14==============================================================================*/ 15#include "tensorflow/core/common_runtime/function_testlib.h" 16 17#include "tensorflow/core/common_runtime/device.h" 18#include "tensorflow/core/framework/node_def.pb.h" 19#include "tensorflow/core/framework/node_def_builder.h" 20#include "tensorflow/core/framework/op_kernel.h" 21 22namespace tensorflow { 23namespace test { 24namespace function { 25 26typedef FunctionDefHelper FDH; 27 28class FindDeviceOpKernel : public OpKernel { 29 public: 30 explicit FindDeviceOpKernel(OpKernelConstruction* ctx) : OpKernel(ctx) {} 31 void Compute(OpKernelContext* ctx) override { 32 Tensor* device_tensor = nullptr; 33 OP_REQUIRES_OK(ctx, ctx->allocate_output("device_name", TensorShape{}, 34 &device_tensor)); 35 device_tensor->scalar<string>()() = 36 ctx->function_library()->device()->name(); 37 } 38}; 39 40REGISTER_KERNEL_BUILDER(Name("FindDeviceOp").Device(tensorflow::DEVICE_CPU), 41 FindDeviceOpKernel); 42REGISTER_OP("FindDeviceOp").Output("device_name: string"); 43 44FunctionDef FindDevice() { 45 return FDH::Define( 46 // Name 47 "FindDevice", 48 // Args 49 {}, 50 // Return values 51 {"device_name: string"}, 52 // Attr def 53 {}, 54 // Nodes 55 {{{"device_name"}, "FindDeviceOp", {}, {}}}); 56} 57 58// TODO(phawkins): replace with C++ API for calling functions, when that exists. 59Output Call(Scope* scope, const string& op_name, const string& fn_name, 60 gtl::ArraySlice<Input> inputs) { 61 NodeDef def; 62 NodeDefBuilder builder(op_name, fn_name, scope->graph()->op_registry()); 63 for (const Input& input : inputs) { 64 builder.Input(input.node()->name(), input.index(), 65 input.node()->output_type(input.index())); 66 } 67 TF_CHECK_OK(builder.Finalize(&def)); 68 Status status; 69 Node* n = scope->graph()->AddNode(def, &status); 70 TF_CHECK_OK(status); 71 TF_CHECK_OK(scope->DoShapeInference(n)); 72 for (int i = 0; i < inputs.size(); ++i) { 73 scope->graph()->AddEdge(inputs[i].node(), inputs[i].index(), n, i); 74 } 75 return Output(n); 76} 77 78} // namespace function 79} // namespace test 80} // namespace tensorflow 81