/*
// Copyright (c) 2018 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.
*/

#include "region_yolo_inst.h"
#include "primitive_type_base.h"
#include "json_object.h"

namespace cldnn
{
    primitive_type_id region_yolo_type_id()
    {
        static primitive_type_base<region_yolo> instance;
        return &instance;
    }

    layout region_yolo_inst::calc_output_layout(region_yolo_node const& node)
    {
        assert((bool)node.get_primitive()->output_data_type == false
               && "Output data type forcing is not supported for "
                  "region_yolo_node!");
        auto input_layout = node.input().get_output_layout();
        auto desc = node.get_primitive();

        if (desc->do_softmax)
        {
            return cldnn::layout(input_layout.data_type, input_layout.format,
                                 tensor(input_layout.size.batch[0],
                                        input_layout.size.feature[0] * input_layout.size.spatial[0] * input_layout.size.spatial[1],
                                        1, 1));
        }
        else
        {
            tensor::value_type features = (desc->classes + desc->coords + 1)*desc->mask_size;
            return cldnn::layout(input_layout.data_type, input_layout.format,
                                 tensor(input_layout.size.batch[0],
                                        features,
                                        input_layout.size.spatial[0], input_layout.size.spatial[1]));

        }
    }

    std::string region_yolo_inst::to_string(region_yolo_node const& node)
    {
        auto desc = node.get_primitive();
        auto node_info = node.desc_to_json();
        auto coords = desc->coords;
        auto classes = desc->classes;
        auto num = desc->num;
        auto do_softmax = desc->do_softmax;
        auto mask_size = desc->mask_size;

        std::stringstream primitive_description;

        json_composite region_yolo_info;
        region_yolo_info.add("coords", coords);
        region_yolo_info.add("classes", classes);
        region_yolo_info.add("num", num);
        region_yolo_info.add("do_softmax", do_softmax);
        region_yolo_info.add("mask_size", mask_size);


        node_info->add("region yolo info", region_yolo_info);
        node_info->dump(primitive_description);

        return primitive_description.str();
    }

    region_yolo_inst::typed_primitive_inst(network_impl& network, region_yolo_node const& node)
        : parent(network, node)
    {
    }
}
