ONE - On-device Neural Engine
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LeakyReLU.cpp
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1/*
2 * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#include "ReLU.h"
18#include "Common.h"
19
20#include <mir/ShapeRange.h>
21#include <mir/Tensor.h>
22
23namespace mir_interpreter
24{
25
26template <typename T> struct LeakyReLUImpl
27{
28 static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result);
29};
30
31template <typename T>
32void LeakyReLUImpl<T>::run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
33{
34 mir::Tensor<T> arg_accessor(arg);
35 mir::Tensor<T> res_accessor(result);
36
37 for (const auto &index : mir::ShapeRange(result.getShape()))
38 {
39 auto x = arg_accessor.at(index);
40 res_accessor.at(index) = x < 0 ? x * alpha : x;
41 }
42}
43
44void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
45{
46 dispatch<LeakyReLUImpl>(result.getElementType(), arg, alpha, result);
47}
48
49} // namespace mir_interpreter
T at(const Index &id) const
Definition Tensor.h:31
void LeakyReLU(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition LeakyReLU.cpp:44
static void run(const mir::TensorVariant &arg, float alpha, mir::TensorVariant &result)
Definition LeakyReLU.cpp:32