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
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2018 The TensorFlow Authors. 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 "Builders.h"
#include "kernels/Utils.h"
#include "SISOKernel.h"
#include "PALExp.h"
namespace luci_interpreter
{
void configure_kernel_CircleExp(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
kernels::SISOKernel kernel(cur_op, runtime_graph);
LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input()) ==
Tensor::element_type(kernel.output()));
LUCI_INTERPRETER_CHECK(Tensor::num_elements(kernel.input()) ==
Tensor::num_elements(kernel.output()));
LUCI_INTERPRETER_CHECK(Tensor::num_dims(kernel.input()) == Tensor::num_dims(kernel.output()));
}
void execute_kernel_CircleExp(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
{
kernels::SISOKernel kernel(cur_op, runtime_graph);
const auto *input_data = runtime_graph->getDataByTensor(kernel.input());
assert(input_data);
auto *output_data = runtime_graph->getDataByTensor(kernel.output());
bool is_inplace = runtime_graph->is_inplace_op(cur_op);
switch (Tensor::element_type(kernel.input()))
{
#ifndef DIS_FLOAT
case DataType::FLOAT32:
{
const float *input_data_float = kernels::getTensorData<float>(input_data);
float *output_data_float = kernels::getTensorData<float>(output_data);
if (is_inplace)
{
output_data_float = const_cast<float *>(input_data_float);
}
assert(output_data_float);
const int flat_size =
kernels::getTensorRuntimeShape(kernel.input(), runtime_graph).flatSize();
luci_interpreter_pal::Exp(flat_size, input_data_float, output_data_float);
break;
}
#endif // DIS_FLOAT
default:
assert(false && "Unsupported type");
}
if (is_inplace)
runtime_graph->makeInplaceOperation(kernel.input(), kernel.output());
}
} // namespace luci_interpreter
|
