blob: c89fa862a6acf9d34e2d4b98bb2528968ab3f497 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
|
/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "moco/Import/Nodes/Tanh.h"
#include <moco/IR/Nodes/TFTanh.h>
#include <loco.h>
#include <stdex/Memory.h>
namespace
{
using namespace moco;
/**
* @brief GraphUpdate for TF Tanh node
*/
class TFTanhGraphUpdate final : public GraphUpdate
{
public:
TFTanhGraphUpdate(TFTanh *node, TensorName &&name) : _node(node), _name(name) {}
void input(const SymbolTable *) const override;
private:
TFTanh *_node;
TensorName _name;
};
void TFTanhGraphUpdate::input(const SymbolTable *table) const
{
loco::Node *target = table->node(_name);
_node->x(target);
}
} // namespace
namespace moco
{
bool TanhGraphBuilder::validate(const tensorflow::NodeDef &node) const
{
return node.input_size() == 1;
}
void TanhGraphBuilder::build(const tensorflow::NodeDef &node, GraphBuilderContext *context) const
{
assert(context != nullptr);
loco::Graph *graph = context->graph();
SymbolTable *tensor_names = context->tensor_names();
UpdateQueue *updates = context->updates();
// creating TF dialect Tanh node
auto tf_tanh = graph->nodes()->create<TFTanh>();
tf_tanh->name(node.name());
// register string-name to node
TensorName output_name(node.name(), 0);
tensor_names->enroll(output_name, tf_tanh);
// Queue node input update
auto tf_tanh_update = stdex::make_unique<TFTanhGraphUpdate>(tf_tanh, TensorName(node.input(0)));
updates->enroll(std::move(tf_tanh_update));
}
} // namespace moco
|
