blob: 5c8c08ec092019b9b645551423e7a7654fa5ca2f (
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
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
|
/*
* 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/IR/Nodes/TFConst.h"
#include <cassert>
namespace moco
{
template <loco::DataType DT> uint32_t TFConst::size(void) const
{
assert(dtype() == DT);
assert(_data.size() % sizeof(typename loco::DataTypeImpl<DT>::Type) == 0);
return _data.size() / sizeof(typename loco::DataTypeImpl<DT>::Type);
}
template <loco::DataType DT> void TFConst::size(uint32_t l)
{
assert(dtype() == DT);
_data.resize(l * sizeof(typename loco::DataTypeImpl<DT>::Type));
}
template <loco::DataType DT>
const typename loco::DataTypeImpl<DT>::Type &TFConst::at(uint32_t n) const
{
assert(dtype() == DT);
assert(n < size<DT>());
return *(reinterpret_cast<const typename loco::DataTypeImpl<DT>::Type *>(_data.data()) + n);
}
template <loco::DataType DT> typename loco::DataTypeImpl<DT>::Type &TFConst::at(uint32_t n)
{
assert(dtype() == DT);
assert(n < size<DT>());
return *(reinterpret_cast<typename loco::DataTypeImpl<DT>::Type *>(_data.data()) + n);
}
#define INSTANTIATE(DT) \
template uint32_t TFConst::size<DT>(void) const; \
template void TFConst::size<DT>(uint32_t); \
template const typename loco::DataTypeImpl<DT>::Type &TFConst::at<DT>(uint32_t) const; \
template typename loco::DataTypeImpl<DT>::Type &TFConst::at<DT>(uint32_t);
INSTANTIATE(loco::DataType::S8);
INSTANTIATE(loco::DataType::S32);
INSTANTIATE(loco::DataType::FLOAT32);
#undef INSTANTIATE
loco::TensorShape tensor_shape(const TFConst *node)
{
assert(node != nullptr);
loco::TensorShape shape;
uint32_t rank = node->rank();
shape.rank(rank);
for (uint32_t index = 0; index < rank; ++index)
{
assert(node->dim(index).known());
shape.dim(index) = node->dim(index).value();
}
return shape;
}
uint32_t num_elements(const TFConst *tfconst)
{
assert(tfconst != nullptr);
uint32_t num_elements = 1;
for (uint32_t index = 0; index < tfconst->rank(); ++index)
{
assert(tfconst->dim(index).known());
uint32_t dim = tfconst->dim(index).value();
num_elements = num_elements * dim;
}
return num_elements;
}
bool same_shape(const TFConst *lhs, const TFConst *rhs)
{
assert(lhs != nullptr);
assert(rhs != nullptr);
if (lhs->rank() != rhs->rank())
return false;
for (uint32_t index = 0; index < lhs->rank(); ++index)
{
assert(lhs->dim(index).known());
assert(rhs->dim(index).known());
if (lhs->dim(index).value() != rhs->dim(index).value())
return false;
}
return true;
}
} // namespace moco
|
