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
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
|
/*
* 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/Concat.h"
#include <moco/IR/Nodes/TFConcatV2.h>
#include <moco/Names.h>
#include <loco.h>
#include <stdex/Memory.h>
#include <plier/tf/Convert.h>
#include <cassert>
namespace
{
using namespace moco;
class TFConcatV2GraphUpdate final : public GraphUpdate
{
public:
TFConcatV2GraphUpdate(TFConcatV2 *node, std::vector<TensorName> names)
: _node(node), _names(names)
{
}
void input(const SymbolTable *) const override;
private:
TFConcatV2 *_node;
std::vector<TensorName> _names;
};
void TFConcatV2GraphUpdate::input(const SymbolTable *tensor_names) const
{
uint32_t num_values = _names.size() - 1; // exclude axis
assert(num_values >= 1);
for (uint32_t i = 0; i < num_values; ++i)
{
auto input_node = tensor_names->node(_names[i]);
assert(input_node != nullptr);
_node->values(i, input_node);
}
auto axis_node = tensor_names->node(_names[num_values]);
assert(axis_node != nullptr);
_node->axis(axis_node);
}
} // namespace
namespace moco
{
bool ConcatV2GraphBuilder::validate(const tensorflow::NodeDef &node) const
{
if (!plier::tf::has_attrs(node, {"T", "N", "Tidx"}))
return false;
// Concat node SHOULD have 3 or more inputs, that is 2 + axis
const int num_inputs = node.input_size() - 1;
return (num_inputs >= 2) && (num_inputs == plier::tf::get_int_attr(node, "N"));
}
void ConcatV2GraphBuilder::build(const tensorflow::NodeDef &node,
GraphBuilderContext *context) const
{
assert(context != nullptr);
auto graph = context->graph();
auto tensor_names = context->tensor_names();
auto updates = context->updates();
const int num_inputs = node.input_size() - 1;
std::vector<TensorName> input_names;
auto concat_node = graph->nodes()->create<TFConcatV2>(num_inputs);
concat_node->name(node.name());
for (int ni = 0; ni < num_inputs; ++ni)
{
input_names.push_back(TensorName(node.input(ni)));
}
// last one is the axis
input_names.push_back(TensorName(node.input(num_inputs)));
// register string-name to the last node as output of concat(s)
TensorName output_name(node.name(), 0);
tensor_names->enroll(output_name, concat_node);
auto update = stdex::make_unique<TFConcatV2GraphUpdate>(concat_node, input_names);
updates->enroll(std::move(update));
}
} // namespace moco
|
