1 /* Copyright 2017 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 SetDevice(const GraphDef& input_graph_def,
33 const TransformFuncContext& context,
34 GraphDef* output_graph_def);
35
36 namespace {
CreateDeviceGraph()37 GraphDef CreateDeviceGraph() {
38 GraphDef graph_def;
39
40 NodeDef* mul_node1 = graph_def.add_node();
41 mul_node1->set_name("mul_node1");
42 mul_node1->set_op("Mul");
43 mul_node1->set_device("/device:CPU:0");
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 add_node2->set_device("/device:GPU:1");
53
54 NodeDef* add_node3 = graph_def.add_node();
55 add_node3->set_name("add_node3");
56 add_node3->set_op("Add");
57 add_node3->add_input("const_node1");
58 add_node3->add_input("const_node3");
59
60 NodeDef* const_node1 = graph_def.add_node();
61 const_node1->set_name("const_node1");
62 const_node1->set_op("Const");
63
64 NodeDef* const_node2 = graph_def.add_node();
65 const_node2->set_name("const_node2");
66 const_node2->set_op("Const");
67
68 NodeDef* const_node3 = graph_def.add_node();
69 const_node3->set_name("const_node3");
70 const_node3->set_op("Const");
71
72 NodeDef* add_node4 = graph_def.add_node();
73 add_node4->set_name("add_node4");
74 add_node4->set_op("Add");
75 add_node4->add_input("add_node2");
76 add_node4->add_input("add_node3");
77
78 return graph_def;
79 }
80 } // namespace
81
TEST(SetDeviceTest,TestSetDevice)82 TEST(SetDeviceTest, TestSetDevice) {
83 GraphDef graph_def = CreateDeviceGraph();
84 GraphDef result;
85 TransformFuncContext context;
86 context.input_names = {};
87 context.output_names = {"mul_node1"};
88 context.params.insert(std::pair<string, std::vector<string>>(
89 {"device", {string("/device:CPU:0")}}));
90 TF_ASSERT_OK(SetDevice(graph_def, context, &result));
91
92 std::map<string, const NodeDef*> node_lookup;
93 MapNamesToNodes(result, &node_lookup);
94 EXPECT_EQ("/device:CPU:0", node_lookup.at("mul_node1")->device());
95 EXPECT_EQ("/device:CPU:0", node_lookup.at("add_node2")->device());
96 EXPECT_EQ("/device:CPU:0", node_lookup.at("add_node3")->device());
97 EXPECT_EQ("/device:CPU:0", node_lookup.at("const_node1")->device());
98 EXPECT_EQ("/device:CPU:0", node_lookup.at("const_node2")->device());
99 EXPECT_EQ("/device:CPU:0", node_lookup.at("const_node3")->device());
100 EXPECT_EQ("/device:CPU:0", node_lookup.at("add_node4")->device());
101 }
102
TEST(SetDeviceTest,TestSetDeviceIfDefault)103 TEST(SetDeviceTest, TestSetDeviceIfDefault) {
104 GraphDef graph_def = CreateDeviceGraph();
105 GraphDef result;
106 TransformFuncContext context;
107 context.input_names = {};
108 context.output_names = {"mul_node1"};
109 context.params.insert(std::pair<string, std::vector<string>>(
110 {"device", {string("/device:GPU:0")}}));
111 context.params.insert(
112 std::pair<string, std::vector<string>>({"if_default", {string("true")}}));
113 TF_ASSERT_OK(SetDevice(graph_def, context, &result));
114
115 std::map<string, const NodeDef*> node_lookup;
116 MapNamesToNodes(result, &node_lookup);
117 EXPECT_EQ("/device:CPU:0", node_lookup.at("mul_node1")->device());
118 EXPECT_EQ("/device:GPU:1", node_lookup.at("add_node2")->device());
119 EXPECT_EQ("/device:GPU:0", node_lookup.at("add_node3")->device());
120 EXPECT_EQ("/device:GPU:0", node_lookup.at("const_node1")->device());
121 EXPECT_EQ("/device:GPU:0", node_lookup.at("const_node2")->device());
122 EXPECT_EQ("/device:GPU:0", node_lookup.at("const_node3")->device());
123 EXPECT_EQ("/device:GPU:0", node_lookup.at("add_node4")->device());
124 }
125
126 } // namespace graph_transforms
127 } // namespace tensorflow
128