NEL2NormalizeLayer.cpp

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/*
 * Copyright (c) 2017-2021 Arm Limited.
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 * SPDX-License-Identifier: MIT
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#include "arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h"
 
#include "arm_compute/core/Helpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEL2NormalizeLayerKernel.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"
 
namespace arm_compute
{
namespace
{
constexpr int max_input_tensor_dim = 3;
} // namespace
NEL2NormalizeLayer::~NEL2NormalizeLayer() = default;
 
NEL2NormalizeLayer::NEL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_manager)
    : _memory_group(std::move(memory_manager)), _reduce_func(), _normalize_kernel(), _sumsq()
{
}
 
void NEL2NormalizeLayer::configure(ITensor *input, ITensor *output, int axis, float epsilon)
{
    ARM_COMPUTE_LOG_PARAMS(input, output, axis, epsilon);
 
    // Manage intermediate buffers
    _memory_group.manage(&_sumsq);
 
    // Configure Kernels
    const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim);
    _reduce_func.configure(input, &_sumsq, actual_axis, ReductionOperation::SUM_SQUARE);
    _normalize_kernel = std::make_unique<NEL2NormalizeLayerKernel>();
    _normalize_kernel->configure(input, &_sumsq, output, axis, epsilon);
 
    // Allocate intermediate tensors
    _sumsq.allocator()->allocate();
}
 
Status NEL2NormalizeLayer::validate(const ITensorInfo *input, const ITensorInfo *output, int axis, float epsilon)
{
    TensorShape shape(input->tensor_shape());
 
    // Create intermediate tensor info
    TensorInfo sum_sq;
    sum_sq.set_data_type(input->data_type());
    sum_sq.set_tensor_shape(shape);
 
    const uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim);
    ARM_COMPUTE_RETURN_ON_ERROR(NEReductionOperation::validate(input, &sum_sq, actual_axis, ReductionOperation::SUM_SQUARE));
 
    // Reduce shape on axis
    shape.set(actual_axis, 1);
    sum_sq.set_tensor_shape(shape);
 
    ARM_COMPUTE_RETURN_ON_ERROR(NEL2NormalizeLayerKernel::validate(input, &sum_sq, output, axis, epsilon));
 
    return Status{};
}
 
void NEL2NormalizeLayer::run()
{
    MemoryGroupResourceScope scope_mg(_memory_group);
 
    _reduce_func.run();
    NEScheduler::get().schedule(_normalize_kernel.get(), Window::DimY);
}
} // namespace arm_compute