NENormalizationLayer.cpp

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/*
 * Copyright (c) 2017-2021 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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 * of this software and associated documentation files (the "Software"), to
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
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#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
 
#include "arm_compute/core/Error.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NENormalizationLayerKernel.h"
 
namespace arm_compute
{
NENormalizationLayer::~NENormalizationLayer() = default;
 
NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager)
    : _memory_group(std::move(memory_manager)), _norm_kernel(), _multiply_f(), _input_squared()
{
}
 
void NENormalizationLayer::configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
    ARM_COMPUTE_LOG_PARAMS(input, output, norm_info);
 
    TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type());
    _input_squared.allocator()->init(tensor_info);
 
    // Manage intermediate buffers
    _memory_group.manage(&_input_squared);
 
    // Configure kernels
    _norm_kernel = std::make_unique<NENormalizationLayerKernel>();
    _norm_kernel->configure(input, &_input_squared, output, norm_info);
    _multiply_f.configure(input, input, &_input_squared, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO);
 
    // Allocate the tensor once the configure methods have been called
    _input_squared.allocator()->allocate();
}
 
Status NENormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info)
{
    // Perform validation step
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
 
    ARM_COMPUTE_RETURN_ON_ERROR(NENormalizationLayerKernel::validate(input, input, output, norm_info));
    ARM_COMPUTE_RETURN_ON_ERROR(NEPixelWiseMultiplication::validate(input, input, output, 1.0f, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO));
 
    return Status{};
}
 
void NENormalizationLayer::run()
{
    MemoryGroupResourceScope scope_mg(_memory_group);
    _multiply_f.run();
    NEScheduler::get().schedule(_norm_kernel.get(), Window::DimY);
}
}