1 /* Copyright 2020 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 <algorithm>
17 #include <string>
18
19 #include "tensorflow/core/framework/graph.pb.h"
20 #include "tensorflow/core/framework/node_def.pb.h"
21 #include "tensorflow/core/lib/core/status_test_util.h"
22 #include "tensorflow/core/platform/protobuf.h"
23 #include "tensorflow/core/platform/test.h"
24 #include "tensorflow/tools/graph_transforms/transform_utils.h"
25
26 namespace tensorflow {
27 namespace graph_transforms {
28
29 constexpr char kGraphDefWithPartitionedCall[] =
30 "node {\n"
31 " name: \"y\"\n"
32 " op: \"Placeholder\"\n"
33 "}\n"
34 "node {\n"
35 " name: \"sub/y\"\n"
36 " op: \"Const\"\n"
37 "}\n"
38 "node {\n"
39 " name: \"PartitionedCall\"\n"
40 " op: \"PartitionedCall\"\n"
41 " input: \"y\"\n"
42 " input: \"sub/y\"\n"
43 " attr {\n"
44 " key: \"f\"\n"
45 " value {\n"
46 " func {\n"
47 " name: \"__inference_simple_add_14\"\n"
48 " }\n"
49 " }\n"
50 " }\n"
51 "}\n"
52 "node {\n"
53 " name: \"add/y\"\n"
54 " op: \"Const\"\n"
55 "}\n"
56 "node {\n"
57 " name: \"add\"\n"
58 " op: \"AddV2\"\n"
59 " input: \"PartitionedCall\"\n"
60 " input: \"add/y\"\n"
61 "}\n"
62 "node {\n"
63 " name: \"Identity\"\n"
64 " op: \"Identity\"\n"
65 " input: \"add\"\n"
66 "}\n"
67 "library {\n"
68 " function {\n"
69 " signature {\n"
70 " name: \"__inference_simple_add_14\"\n"
71 " input_arg {\n"
72 " name: \"x\"\n"
73 " type: DT_FLOAT\n"
74 " }\n"
75 " input_arg {\n"
76 " name: \"y\"\n"
77 " type: DT_FLOAT\n"
78 " }\n"
79 " output_arg {\n"
80 " name: \"identity\"\n"
81 " type: DT_FLOAT\n"
82 " }\n"
83 " }\n"
84 " node_def {\n"
85 " name: \"mul\"\n"
86 " op: \"Mul\"\n"
87 " input: \"x\"\n"
88 " input: \"y\"\n"
89 " }\n"
90 " node_def {\n"
91 " name: \"add/y\"\n"
92 " op: \"Const\"\n"
93 " }\n"
94 " node_def {\n"
95 " name: \"add\"\n"
96 " op: \"AddV2\"\n"
97 " input: \"mul:z:0\"\n"
98 " input: \"add/y:output:0\"\n"
99 " }\n"
100 " node_def {\n"
101 " name: \"Identity\"\n"
102 " op: \"Identity\"\n"
103 " input: \"add:z:0\"\n"
104 " }\n"
105 " ret {\n"
106 " key: \"identity\"\n"
107 " value: \"Identity:output:0\"\n"
108 " }\n"
109 " }\n"
110 "}\n";
111
112 // Declare here, so we don't need a public header.
113 Status InlinePartitionedCall(const GraphDef& input_graph_def,
114 const TransformFuncContext& context,
115 GraphDef* output_graph_def);
116
TEST(InlinePartitionedCallTest,Inlining)117 TEST(InlinePartitionedCallTest, Inlining) {
118 GraphDef in_graph;
119 EXPECT_TRUE(::tensorflow::protobuf::TextFormat::ParseFromString(
120 kGraphDefWithPartitionedCall, &in_graph));
121
122 GraphDef result;
123 TransformFuncContext context;
124 context.input_names = {"y"};
125 context.output_names = {"Identity"};
126 TF_ASSERT_OK(InlinePartitionedCall(in_graph, context, &result));
127
128 EXPECT_TRUE(std::none_of(
129 result.node().cbegin(), result.node().cend(),
130 [](const NodeDef& node) { return node.op() == "PartitionedCall"; }));
131 EXPECT_EQ(9, result.node().size());
132 TF_EXPECT_OK(IsGraphValid(result));
133 }
134
135 } // namespace graph_transforms
136 } // namespace tensorflow
137