1 /* Copyright 2016 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/core/framework/types.h"
18
19 namespace tensorflow {
20 namespace ops {
21
22 namespace {
23 template <typename T>
ConstHelper(const Scope & scope,const T & value,DataType dtype)24 Output ConstHelper(const Scope& scope, const T& value, DataType dtype) {
25 if (!scope.ok()) return Output();
26
27 Node* ret;
28 Graph* graph = scope.graph();
29 const string unique_name = scope.GetUniqueNameForOp("Const");
30 auto builder = NodeBuilder(unique_name, "Const")
31 .Attr("value", value)
32 .Attr("dtype", dtype);
33 scope.UpdateBuilder(&builder);
34 scope.UpdateStatus(builder.Finalize(graph, &ret));
35 if (!scope.ok()) return Output();
36
37 scope.UpdateStatus(scope.DoShapeInference(ret));
38 if (!scope.ok()) return Output();
39
40 return Output(ret);
41 }
42 } // namespace
43
Const(const Scope & scope,const Input::Initializer & val)44 Output Const(const Scope& scope, const Input::Initializer& val) {
45 if (!val.status.ok()) {
46 scope.UpdateStatus(val.status);
47 return Output();
48 }
49 return ConstHelper(scope, val.tensor, val.tensor.dtype());
50 }
51
ConstFromProto(const Scope & scope,const TensorProto & proto)52 Output ConstFromProto(const Scope& scope, const TensorProto& proto) {
53 return ConstHelper(scope, proto, proto.dtype());
54 }
55
AsNodeOut(const Scope & scope,const Input & inp)56 NodeBuilder::NodeOut AsNodeOut(const Scope& scope, const Input& inp) {
57 if (!inp.status().ok()) {
58 scope.UpdateStatus(inp.status());
59 return NodeBuilder::NodeOut(inp.node(), inp.index());
60 }
61 if (inp.node()) {
62 return NodeBuilder::NodeOut(inp.node(), inp.index());
63 }
64 if (!inp.node_name().empty()) {
65 return NodeBuilder::NodeOut(inp.node_name(), inp.index(), inp.data_type());
66 }
67 auto transformed = Input{
68 Const(scope.NewSubScope("Const"), Input::Initializer(inp.tensor()))};
69 return NodeBuilder::NodeOut{transformed.node(), transformed.index()};
70 }
71
AsNodeOutList(const Scope & scope,const InputList & inp)72 std::vector<NodeBuilder::NodeOut> AsNodeOutList(const Scope& scope,
73 const InputList& inp) {
74 std::vector<NodeBuilder::NodeOut> out;
75 for (const auto& i : inp) {
76 const auto node_out = AsNodeOut(scope, i);
77 if (!scope.ok()) {
78 return {};
79 }
80 out.push_back(node_out);
81 }
82 return out;
83 }
84
85 } // namespace ops
86 } // namespace tensorflow
87