reorder.hpp

/*
// Copyright (c) 2016 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//      http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
*/

#pragma once
#include "../C/reorder.h"
#include "primitive.hpp"
#include "memory.hpp"

namespace cldnn
{

struct reorder : public primitive_base<reorder, CLDNN_PRIMITIVE_DESC(reorder)>
{
    CLDNN_DECLATE_PRIMITIVE(reorder)

    
    reorder(
        const primitive_id& id,
        const primitive_id& input,
        const layout& output_layout,
        const std::vector<float>& values_to_subtract = {}
    )
        : primitive_base(id, { input }, output_layout.data_padding)
        , output_format(output_layout.format)
        , output_data_type(output_layout.data_type)
        , mean("")
        , subtract_per_feature(values_to_subtract)
    {
    }

    reorder(
        const primitive_id& id,
        const primitive_id& input,
        const layout& output_layout,
        primitive_id const& mean
    )
        : primitive_base(id, { input }, output_layout.data_padding)
        , output_format(output_layout.format)
        , output_data_type(output_layout.data_type)
        , mean(mean)
        , subtract_per_feature(0)
    {
    }

    reorder(
        const primitive_id& id,
        const primitive_id& input,
        format output_format,
        data_types output_data_type,
        const std::vector<float>& values_to_subtract = {},
        const padding& output_padding = padding()
    )
        : primitive_base(id, { input }, output_padding)
        , output_format(output_format)
        , output_data_type(output_data_type)
        , mean("")
        , subtract_per_feature(values_to_subtract)
    {
    }

    reorder(
        const primitive_id& id,
        const primitive_id& input,
        format output_format,
        data_types output_data_type,
        primitive_id const& mean,
        const padding& output_padding = padding()
    )
        : primitive_base(id, { input }, output_padding)
        , output_format(output_format)
        , output_data_type(output_data_type)
        , mean(mean)
        , subtract_per_feature(0)
    {
    }

    reorder(const dto* dto)
        : primitive_base(dto)
        , output_format(dto->output_format)
        , output_data_type(static_cast<data_types>(dto->output_data_type))
        , mean(dto->mean_subtract)
        , subtract_per_feature(float_arr_to_vector(dto->subtract_per_feature))
    {
    }

    format output_format;
    data_types output_data_type;
    primitive_id mean;
    std::vector<float> subtract_per_feature;

protected:
    std::vector<std::reference_wrapper<const primitive_id>> get_dependencies() const override
    {
        if (mean.empty())
            return{};
        return{ mean };
    }

    void update_dto(dto& dto) const override
    {
        dto.output_format = static_cast<cldnn_format_type>(output_format.value);
        dto.output_data_type = static_cast<cldnn_data_type>(output_data_type);
        dto.mean_subtract = mean.c_str();
        dto.subtract_per_feature = float_vector_to_arr(subtract_per_feature);
    }
};
}