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
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
|
/*
* 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 "AclConstantInitializer.h"
namespace onert
{
namespace backend
{
namespace acl_common
{
AclConstantInitializer::AclConstantInitializer(const ir::Operands &operands,
const std::shared_ptr<ITensorRegistry> &tensor_reg)
: IConstantInitializer{operands}, _tensor_reg{tensor_reg}
{
// DO NOTHING
}
void AclConstantInitializer::copyInputInitialize(const ir::Operation &node, uint32_t index)
{
assert(node.getInputs().size() > index);
const auto &input_index = node.getInputs().at(index);
const auto &input_obj = _operands.at(input_index);
registerCopyInitializer(input_index, input_obj);
}
void AclConstantInitializer::permuteInputInitialize(const ir::Operation &node, uint32_t index)
{
assert(node.getInputs().size() > index);
const auto &input_index = node.getInputs().at(index);
const auto &input_obj = _operands.at(input_index);
registerPermuteInitializer(input_index, input_obj);
}
void AclConstantInitializer::visit(const ir::operation::BatchToSpaceND &node)
{
const auto &block_size_index = node.getInputs().at(ir::operation::BatchToSpaceND::BLOCK_SIZE);
const auto &block_size_obj = _operands.at(block_size_index);
if (block_size_obj.isConstant())
{
_init_map[block_size_index] = [](const ir::Operand &model_obj, backend::ITensor &obj) {
assert(model_obj.data());
const auto &shape = model_obj.shape();
const auto base = reinterpret_cast<const int32_t *>(model_obj.data()->base());
assert(model_obj.shape().rank() == 1);
obj.access([&](ITensor &tensor) {
for (size_t i = 0; i < shape.num_elements(); ++i)
{
const int32_t value = base[shape.num_elements() - i - 1];
int32_t *into = reinterpret_cast<int32_t *>(tensor.buffer() +
tensor.calcOffset({static_cast<int32_t>(i)}));
*into = value;
}
});
};
}
}
void AclConstantInitializer::visit(const ir::operation::Conv2D &node)
{
permuteInputInitialize(node, ir::operation::Conv2D::KERNEL);
copyInputInitialize(node, ir::operation::Conv2D::BIAS);
}
void AclConstantInitializer::visit(const ir::operation::DepthwiseConv2D &node)
{
permuteInputInitialize(node, ir::operation::DepthwiseConv2D::KERNEL);
copyInputInitialize(node, ir::operation::DepthwiseConv2D::BIAS);
}
void AclConstantInitializer::visit(const ir::operation::FullyConnected &node)
{
copyInputInitialize(node, ir::operation::FullyConnected::WEIGHT);
copyInputInitialize(node, ir::operation::FullyConnected::BIAS);
}
void AclConstantInitializer::visit(const ir::operation::LSTM &node)
{
copyInputInitialize(node, ir::operation::LSTM::INPUT_TO_INPUT_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::INPUT_TO_FORGET_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::INPUT_TO_CELL_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::INPUT_TO_OUTPUT_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::RECURRENT_TO_INPUT_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::RECURRENT_TO_FORGET_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::RECURRENT_TO_CELL_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::RECURRENT_TO_OUTPUT_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::CELL_TO_INPUT_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::CELL_TO_FORGET_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::CELL_TO_OUTPUT_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::INPUT_GATE_BIAS);
copyInputInitialize(node, ir::operation::LSTM::FORGET_GATE_BIAS);
copyInputInitialize(node, ir::operation::LSTM::OUTPUT_GATE_BIAS);
copyInputInitialize(node, ir::operation::LSTM::PROJECTION_WEIGHTS);
copyInputInitialize(node, ir::operation::LSTM::PROJECTION_BIAS);
}
void AclConstantInitializer::visit(const ir::operation::RNN &node)
{
copyInputInitialize(node, ir::operation::RNN::WEIGHTS);
copyInputInitialize(node, ir::operation::RNN::RECURRENT_WEIGHTS);
copyInputInitialize(node, ir::operation::RNN::BIAS);
}
void AclConstantInitializer::visit(const ir::operation::TransposeConv &node)
{
permuteInputInitialize(node, ir::operation::TransposeConv::KERNEL);
}
} // namespace acl_common
} // namespace backend
} // namespace onert
|