ONE - On-device Neural Engine
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AddN.h
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/*
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* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
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* Copyright 2017 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 __NNFW_CKER_ADDN_H__
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#define __NNFW_CKER_ADDN_H__
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#include "
cker/Shape.h
"
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namespace
nnfw
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{
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namespace
cker
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{
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template
<
typename
T>
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void
AddN
(
const
Shape
&input_shape,
const
size_t
num_inputs,
const
T **input_data, T *output_data)
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{
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const
size_t
size
= input_shape.
FlatSize
();
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for
(
size_t
i = 0; i <
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 cker
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}
// namespace nnfw
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#endif
// __NNFW_CKER_ADDN_H__
nnfw::cker::Shape
Definition
Shape.h:32
nnfw::cker::Shape::FlatSize
int FlatSize() const
Definition
Shape.h:181
Shape.h
nnfw::cker::AddN
void AddN(const Shape &input_shape, const size_t num_inputs, const T **input_data, T *output_data)
Definition
AddN.h:29
nnfw
Definition
topk_v2.h:30
size
int32_t size[5]
Definition
Slice.cpp:35
compute
cker
include
cker
operation
AddN.h
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