1 /* Copyright 2015 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 #include "tensorflow/cc/ops/const_op.h" 17 #include "tensorflow/cc/ops/image_ops.h" 18 #include "tensorflow/cc/ops/nn_ops.h" 19 #include "tensorflow/cc/ops/sendrecv_ops.h" 20 #include "tensorflow/cc/ops/standard_ops.h" 21 #include "tensorflow/core/framework/tensor_testutil.h" 22 #include "tensorflow/core/lib/core/status_test_util.h" 23 #include "tensorflow/core/platform/test.h" 24 #include "tensorflow/core/platform/test_benchmark.h" 25 #include "tensorflow/core/public/session.h" 26 #include "tensorflow/tools/graph_transforms/transform_utils.h" 27 28 namespace tensorflow { 29 namespace graph_transforms { 30 31 // Declare here, so we don't need a public header. 32 Status RenameOp(const GraphDef& input_graph_def, 33 const TransformFuncContext& context, 34 GraphDef* output_graph_def); 35 36 class RenameOpTest : public ::testing::Test { 37 protected: 38 void TestRenameOp() { 39 GraphDef graph_def; 40 41 NodeDef* mul_node1 = graph_def.add_node(); 42 mul_node1->set_name("mul_node1"); 43 mul_node1->set_op("Mul"); 44 mul_node1->add_input("add_node2"); 45 mul_node1->add_input("add_node3"); 46 47 NodeDef* add_node2 = graph_def.add_node(); 48 add_node2->set_name("add_node2"); 49 add_node2->set_op("Add"); 50 add_node2->add_input("const_node1"); 51 add_node2->add_input("const_node2"); 52 53 NodeDef* add_node3 = graph_def.add_node(); 54 add_node3->set_name("add_node3"); 55 add_node3->set_op("Add"); 56 add_node3->add_input("const_node1"); 57 add_node3->add_input("const_node3"); 58 59 NodeDef* const_node1 = graph_def.add_node(); 60 const_node1->set_name("const_node1"); 61 const_node1->set_op("Const"); 62 63 NodeDef* const_node2 = graph_def.add_node(); 64 const_node2->set_name("const_node2"); 65 const_node2->set_op("Const"); 66 67 NodeDef* const_node3 = graph_def.add_node(); 68 const_node3->set_name("const_node3"); 69 const_node3->set_op("Const"); 70 71 NodeDef* add_node4 = graph_def.add_node(); 72 add_node4->set_name("add_node4"); 73 add_node4->set_op("Add"); 74 add_node4->add_input("add_node2"); 75 add_node4->add_input("add_node3"); 76 77 GraphDef result; 78 TransformFuncContext context; 79 context.input_names = {}; 80 context.output_names = {"mul_node1"}; 81 context.params.insert(std::pair<string, std::vector<string>>( 82 {"old_op_name", {string("Mul")}})); 83 context.params.insert(std::pair<string, std::vector<string>>( 84 {"new_op_name", {string("Multiply")}})); 85 TF_ASSERT_OK(RenameOp(graph_def, context, &result)); 86 87 std::map<string, const NodeDef*> node_lookup; 88 MapNamesToNodes(result, &node_lookup); 89 EXPECT_EQ(1, node_lookup.count("mul_node1")); 90 EXPECT_EQ("Multiply", node_lookup.at("mul_node1")->op()); 91 EXPECT_EQ(1, node_lookup.count("add_node2")); 92 EXPECT_EQ("Add", node_lookup.at("add_node2")->op()); 93 EXPECT_EQ(1, node_lookup.count("add_node3")); 94 EXPECT_EQ("Add", node_lookup.at("add_node3")->op()); 95 EXPECT_EQ(1, node_lookup.count("add_node4")); 96 EXPECT_EQ("Add", node_lookup.at("add_node4")->op()); 97 EXPECT_EQ(1, node_lookup.count("const_node1")); 98 EXPECT_EQ("Const", node_lookup.at("const_node1")->op()); 99 EXPECT_EQ(1, node_lookup.count("const_node2")); 100 EXPECT_EQ("Const", node_lookup.at("const_node2")->op()); 101 EXPECT_EQ(1, node_lookup.count("const_node3")); 102 EXPECT_EQ("Const", node_lookup.at("const_node3")->op()); 103 } 104 }; 105 106 TEST_F(RenameOpTest, TestRenameOp) { TestRenameOp(); } 107 108 } // namespace graph_transforms 109 } // namespace tensorflow 110
