DeconvolutionLayerNode.cpp

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/*
 * Copyright (c) 2018-2020 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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#include "arm_compute/graph/nodes/DeconvolutionLayerNode.h"

#include "arm_compute/core/Utils.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/INodeVisitor.h"
#include "arm_compute/graph/Utils.h"

namespace arm_compute
{
namespace graph
{
DeconvolutionLayerNode::DeconvolutionLayerNode(const descriptors::DeconvolutionLayerDescriptor &descriptor)
    : descriptor(std::move(descriptor))
{
    _input_edges.resize(3, EmptyEdgeID);
    _outputs.resize(1, NullTensorID);
}

PadStrideInfo DeconvolutionLayerNode::deconvolution_info() const
{
    return descriptor.info;
}

TensorDescriptor DeconvolutionLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor,
                                                                   const TensorDescriptor &weights_descriptor,
                                                                   const PadStrideInfo    &info)
{
    unsigned int output_width  = 0;
    unsigned int output_height = 0;

    const unsigned int input_width   = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
    const unsigned int input_height  = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
    const unsigned int kernel_width  = get_dimension_size(weights_descriptor, DataLayoutDimension::WIDTH);
    const unsigned int kernel_height = get_dimension_size(weights_descriptor, DataLayoutDimension::HEIGHT);

    std::tie(output_width, output_height) = deconvolution_output_dimensions(input_width, input_height, kernel_width, kernel_height, info);

    const DataLayout data_layout       = input_descriptor.layout;
    TensorDescriptor output_descriptor = input_descriptor;
    output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), output_width);
    output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), output_height);
    output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), weights_descriptor.shape[3]);

    return output_descriptor;
}

bool DeconvolutionLayerNode::forward_descriptors()
{
    if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID))
    {
        Tensor *dst = output(0);
        ARM_COMPUTE_ERROR_ON(dst == nullptr);
        dst->desc() = configure_output(0);
        return true;
    }
    return false;
}

TensorDescriptor DeconvolutionLayerNode::configure_output(size_t idx) const
{
    ARM_COMPUTE_UNUSED(idx);
    const Tensor *src     = input(0);
    const Tensor *weights = input(1);

    ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr);

    TensorDescriptor output_info = compute_output_descriptor(src->desc(), weights->desc(), descriptor.info);

    if(!descriptor.out_quant_info.empty())
    {
        output_info.set_quantization_info(descriptor.out_quant_info);
    }

    return output_info;
}

NodeType DeconvolutionLayerNode::type() const
{
    return NodeType::DeconvolutionLayer;
}

void DeconvolutionLayerNode::accept(INodeVisitor &v)
{
    v.visit(*this);
}
} // namespace graph
} // namespace arm_compute