1/* Copyright 2016 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
16#include <map>
17#include <string>
18#include <unordered_map>
19#include <vector>
20
21#include "tensorflow/core/common_runtime/graph_runner.h"
22
23#include "tensorflow/cc/framework/scope.h"
24#include "tensorflow/cc/ops/standard_ops.h"
25#include "tensorflow/core/common_runtime/device_factory.h"
26#include "tensorflow/core/common_runtime/device_mgr.h"
27#include "tensorflow/core/framework/function_testlib.h"
28#include "tensorflow/core/framework/node_def_util.h"
29#include "tensorflow/core/framework/tensor.h"
30#include "tensorflow/core/framework/tensor_shape.h"
31#include "tensorflow/core/framework/tensor_testutil.h"
32#include "tensorflow/core/framework/types.h"
33#include "tensorflow/core/graph/node_builder.h"
34#include "tensorflow/core/graph/testlib.h"
35#include "tensorflow/core/lib/core/status_test_util.h"
36#include "tensorflow/core/lib/core/threadpool.h"
37#include "tensorflow/core/lib/strings/strcat.h"
38#include "tensorflow/core/platform/test.h"
39#include "tensorflow/core/public/session_options.h"
40
41namespace tensorflow {
42namespace {
43
44using test::internal::ExpectEqual;
45
46TEST(GraphRunnerTest, SingleConst) {
47  Scope root = Scope::NewRootScope();
48  auto c = ops::Const(root, 42.0f);
49  GraphRunner graph_runner(Env::Default());
50  std::vector<Tensor> outputs;
51  Status s = graph_runner.Run(root.graph(), nullptr, {}, {c.name()}, &outputs);
52  TF_ASSERT_OK(s);
53  ExpectEqual(42.0f, outputs[0].scalar<float>()());
54}
55
56// If not using DeepCopy, and the allocator is deleted with the cpu-device,
57// this test will seg-fault.
58TEST(GraphRunnerTest, DeepCopy) {
59  Scope root = Scope::NewRootScope();
60  auto p1 = ops::Placeholder(root.WithOpName("p1"), DT_FLOAT);
61  auto p2 = ops::Placeholder(root.WithOpName("p2"), DT_FLOAT);
62  auto add = ops::Add(root.WithOpName("add"), p1, p2);
63
64  Tensor p1_data(DT_FLOAT, TensorShape({}));
65  Tensor p2_data(DT_FLOAT, TensorShape({}));
66  p1_data.scalar<float>()() = 1.0f;
67  p2_data.scalar<float>()() = 2.0f;
68  std::vector<std::pair<string, Tensor>> inputs = {{"p1:0", p1_data},
69                                                   {"p2:0", p2_data}};
70
71  // Create and destroy the GraphRunner, and ensure that the outputs are
72  // consumable beyond the lifetime of GraphRunner.
73  std::vector<Tensor> outputs;
74  {
75    GraphRunner graph_runner(Env::Default());
76    Status s =
77        graph_runner.Run(root.graph(), nullptr, inputs, {"add:0"}, &outputs);
78    TF_ASSERT_OK(s);
79  }
80  ExpectEqual(3.0f, outputs[0].scalar<float>()());
81}
82
83TEST(GraphRunnerTest, MultiFetchConst) {
84  Scope root = Scope::NewRootScope();
85  auto c = ops::Const(root, 42.0f);
86  auto pi = ops::Const(root, 3.14f);
87  GraphRunner graph_runner(Env::Default());
88  std::vector<Tensor> outputs;
89  Status s = graph_runner.Run(root.graph(), nullptr, {}, {c.name(), pi.name()},
90                              &outputs);
91  TF_ASSERT_OK(s);
92  ExpectEqual(42.0f, outputs[0].scalar<float>()());
93  ExpectEqual(3.14f, outputs[1].scalar<float>()());
94}
95
96TEST(GraphRunnerTest, FeedAndFetch) {
97  Scope root = Scope::NewRootScope();
98  auto p1 = ops::Placeholder(root.WithOpName("p1"), DT_FLOAT);
99  auto p2 = ops::Placeholder(root.WithOpName("p2"), DT_FLOAT);
100  auto add = ops::Add(root.WithOpName("add"), p1, p2);
101
102  Tensor p1_data(DT_FLOAT, TensorShape({}));
103  Tensor p2_data(DT_FLOAT, TensorShape({}));
104  p1_data.scalar<float>()() = 1.0f;
105  p2_data.scalar<float>()() = 2.0f;
106  std::vector<std::pair<string, Tensor>> inputs = {{"p1:0", p1_data},
107                                                   {"p2:0", p2_data}};
108
109  GraphRunner graph_runner(Env::Default());
110  std::vector<Tensor> outputs;
111  Status s =
112      graph_runner.Run(root.graph(), nullptr, inputs, {"add:0"}, &outputs);
113  TF_ASSERT_OK(s);
114  ExpectEqual(3.0f, outputs[0].scalar<float>()());
115}
116
117}  // namespace
118}  // namespace tensorflow
119