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
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
|
/*
* Copyright (c) 2020 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 "HDF5Importer.h"
#include <H5Cpp.h>
#include <string>
#include <cassert>
#include <stdexcept>
using Shape = luci_interpreter::Shape;
using DataType = luci_interpreter::DataType;
namespace
{
Shape toInternalShape(const H5::DataSpace &dataspace)
{
int rank = dataspace.getSimpleExtentNdims();
std::vector<hsize_t> dims;
dims.resize(rank, 0);
dataspace.getSimpleExtentDims(dims.data());
Shape res(rank);
for (int axis = 0; axis < rank; ++axis)
{
res.dim(axis) = dims[axis];
}
return res;
}
DataType toInternalDtype(const H5::DataType &h5_type)
{
if (h5_type == H5::PredType::IEEE_F32BE || h5_type == H5::PredType::IEEE_F32LE)
{
return DataType::FLOAT32;
}
if (h5_type == H5::PredType::STD_I32BE || h5_type == H5::PredType::STD_I32LE)
{
return DataType::S32;
}
if (h5_type == H5::PredType::STD_I64BE || h5_type == H5::PredType::STD_I64LE)
{
return DataType::S64;
}
if (h5_type.getClass() == H5T_class_t::H5T_ENUM)
{
// We follow the numpy format
// In numpy 1.19.0, np.bool_ is saved as H5T_ENUM
// - (name, value) -> (FALSE, 0) and (TRUE, 1)
// - value dtype is H5T_STD_I8LE
// TODO Find a general way to recognize BOOL type
char name[10];
int8_t value[2] = {0, 1};
if (H5Tenum_nameof(h5_type.getId(), value, name, 10) < 0)
return DataType::Unknown;
if (std::string(name) != "FALSE")
return DataType::Unknown;
if (H5Tenum_nameof(h5_type.getId(), value + 1, name, 10) < 0)
return DataType::Unknown;
if (std::string(name) != "TRUE")
return DataType::Unknown;
return DataType::BOOL;
}
// TODO Support more datatypes
return DataType::Unknown;
}
void readTensorData(H5::DataSet &tensor, uint8_t *buffer)
{
tensor.read(buffer, H5::PredType::NATIVE_UINT8);
}
void readTensorData(H5::DataSet &tensor, float *buffer)
{
tensor.read(buffer, H5::PredType::NATIVE_FLOAT);
}
void readTensorData(H5::DataSet &tensor, int32_t *buffer)
{
tensor.read(buffer, H5::PredType::NATIVE_INT);
}
void readTensorData(H5::DataSet &tensor, int64_t *buffer)
{
tensor.read(buffer, H5::PredType::NATIVE_LONG);
}
} // namespace
namespace record_minmax
{
int32_t HDF5Importer::numInputs(int32_t record_idx)
{
auto records = _value_grp.openGroup(std::to_string(record_idx));
return records.getNumObjs();
}
void HDF5Importer::readTensor(int32_t record_idx, int32_t input_idx, void *buffer)
{
auto record = _value_grp.openGroup(std::to_string(record_idx));
auto tensor = record.openDataSet(std::to_string(input_idx));
readTensorData(tensor, static_cast<uint8_t *>(buffer));
}
void HDF5Importer::readTensor(int32_t record_idx, int32_t input_idx, DataType *dtype, Shape *shape,
void *buffer)
{
auto record = _value_grp.openGroup(std::to_string(record_idx));
auto tensor = record.openDataSet(std::to_string(input_idx));
auto tensor_dtype = tensor.getDataType();
*dtype = toInternalDtype(tensor_dtype);
auto tensor_shape = tensor.getSpace();
*shape = toInternalShape(tensor_shape);
switch (*dtype)
{
case DataType::FLOAT32:
readTensorData(tensor, static_cast<float *>(buffer));
break;
case DataType::S32:
readTensorData(tensor, static_cast<int32_t *>(buffer));
break;
case DataType::S64:
readTensorData(tensor, static_cast<int64_t *>(buffer));
break;
case DataType::BOOL:
readTensorData(tensor, static_cast<uint8_t *>(buffer));
break;
default:
throw std::runtime_error{"Unsupported data type for input data (.h5)"};
}
}
} // namespace record_minmax
|
