ONE - On-device Neural Engine
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PALAddN.h
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/*
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* Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
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* Copyright 2020 The TensorFlow Authors. 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 LUCI_INTERPRETER_PAL_ADD_N_H
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#define LUCI_INTERPRETER_PAL_ADD_N_H
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#include "
Params.h
"
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#include "
PALUtils.h
"
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namespace
luci_interpreter_pal
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{
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// T is expected to be either float or int.
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template
<
typename
T>
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inline
void
AddN
(
const
size_t
flat_size,
const
size_t
num_inputs,
const
T *
const
*input_data,
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T *output_data)
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{
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// All inputs and output should have the same shape, this is checked during
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// Prepare stage.
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for
(
size_t
i = 0; i < flat_size; ++i)
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{
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T x = 0;
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for
(
size_t
j = 0; j < num_inputs; ++j)
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{
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x += input_data[j][i];
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}
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output_data[i] = x;
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}
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}
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}
// namespace luci_interpreter_pal
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#endif
// LUCI_INTERPRETER_PAL_ADD_N_H
Params.h
luci_interpreter_pal
Definition
PALArgMax.h:23
luci_interpreter_pal::AddN
void AddN(const size_t flat_size, const size_t num_inputs, const T *const *input_data, T *output_data)
Definition
PALAddN.h:29
PALUtils.h
onert-micro
luci-interpreter
pal
common
PALAddN.h
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