ONE - On-device Neural Engine
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MSE.h
Go to the documentation of this file.
1
/*
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* Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef ONERT_MICRO_TRAIN_LOSSES_FUNCTIONS_MSE_H
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#define ONERT_MICRO_TRAIN_LOSSES_FUNCTIONS_MSE_H
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#include "
OMStatus.h
"
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#include <cstdint>
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namespace
onert_micro
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{
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namespace
train
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{
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namespace
losses_functions
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{
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// MSE- Mean Square Error
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struct
MSE
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{
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// Calculate mean square error backpropagation between calculated and target data
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static
void
calculateErrorBackpropagation
(
const
uint32_t flat_size,
const
float
*calculated_data,
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const
float
*target_data,
float
*output_grad);
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};
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struct
MSE
{
…
};
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}
// namespace losses_functions
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}
// namespace train
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}
// namespace onert_micro
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#endif
// ONERT_MICRO_TRAIN_LOSSES_FUNCTIONS_MSE_H
OMStatus.h
onert_micro
Definition
OMMemoryManager.h:26
train_with_dataset.train
train(args)
Definition
train_with_dataset.py:71
onert_micro::train::losses_functions::MSE
Definition
MSE.h:33
onert_micro::train::losses_functions::MSE::calculateErrorBackpropagation
static void calculateErrorBackpropagation(const uint32_t flat_size, const float *calculated_data, const float *target_data, float *output_grad)
Definition
MSE.cpp:29
onert-micro
onert-micro
include
train
losses_functions
MSE.h
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