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SoftMaxLayer.cc
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1/*
2 * Copyright (c) 2023 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 "SoftMaxLayer.h"
18
19#include "OperationUtils.h"
20
22
24{
25
27 : cpu::ops::SoftMaxLayer(), _back_prop_input{nullptr}, _back_prop_output{nullptr}
28{
29 // DO NOTHING
30}
31
33 const IPortableTensor *back_prop_output)
34{
35 _back_prop_input = back_prop_input;
36 _back_prop_output = back_prop_output;
37}
38
40
42{
43 assert(_back_prop_output->data_type() == _input->data_type());
44 switch (_back_prop_output->data_type())
45 {
46 case OperandType::FLOAT32:
47 {
49 getShape(_output), getBuffer<float>(_output), getShape(_back_prop_output),
50 getBuffer<float>(_back_prop_output), getShape(_back_prop_input),
51 getBuffer<float>(_back_prop_input));
52 break;
53 }
54 default:
55 throw std::runtime_error("train SoftMaxLayer: unsupported data type");
56 }
57}
58
59} // namespace onert::backend::train::ops
A tensor class that is portable for other backends.
ir::DataType data_type() const override final
void forward(bool training) override
void configureBackward(IPortableTensor *back_prop_input, const IPortableTensor *back_prop_output)
void SoftMaxGrad(const Shape &output_shape, const float *output_data, const Shape &incoming_shape, const float *incoming_data, const Shape &grad_shape, float *grad_data)
Definition SoftMax.h:30
nnfw::cker::Shape getShape(const IPortableTensor *tensor)
Get shape of tensor.