/*
// 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 "primitive.hpp"

namespace cldnn {
/// @addtogroup cpp_api C++ API
/// @{
/// @addtogroup cpp_topology Network Topology
/// @{
/// @addtogroup cpp_primitives Primitives
/// @{

/// @brief Normalizes results so they sum to 1.
/// @details
/// @par Algorithm:
/// @par Where:
struct region_yolo : public primitive_base<region_yolo> {
    CLDNN_DECLARE_PRIMITIVE(region_yolo)

    /// @brief Constructs region_yolo primitive.
    /// @param id This primitive id.
    /// @param input Input primitive id.
    /// @param dimension Defines a scope of normalization (see #dimension).
    region_yolo(const primitive_id& id,
                const primitive_id& input,
                const uint32_t coords,
                const uint32_t classes,
                const uint32_t num,
                const uint32_t mask_size = 0,
                const bool do_softmax = true,
                const padding& output_padding = padding())
        : primitive_base(id, {input}, output_padding),
          coords(coords),
          classes(classes),
          num(num),
          mask_size(mask_size),
          do_softmax(do_softmax) {}

    /// @brief Defines a scope of a region yolo normalization
    /// @details
    /// Specific behaviour is determined by these parameters, as follows:
    uint32_t coords;
    uint32_t classes;
    uint32_t num;
    uint32_t mask_size;
    bool do_softmax;
};
/// @}
/// @}
/// @}
}  // namespace cldnn
#pragma once
