/*
// 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 "average_unpooling_inst.h"
#include "primitive_type_base.h"
#include "sliding_window_utils.h"
#include "error_handler.h"
#include "json_object.h"

namespace cldnn
{
    primitive_type_id average_unpooling_type_id()
    {
        static primitive_type_base<average_unpooling> instance;
        return &instance;
    }

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

        auto input_layout = node.input().get_output_layout();

        auto stride = desc->stride;
        auto window_size = desc->size;

        CLDNN_ERROR_LESS_OR_EQUAL_THAN(node.id(), "stride spatial X", stride.spatial[0], "", 0, "Stride spatial X must be positive (>= 1)");
        CLDNN_ERROR_LESS_OR_EQUAL_THAN(node.id(), "stride spatial Y", stride.spatial[1], "", 0, "Stride spatial Y must be positive (>= 1)");
        CLDNN_ERROR_LESS_OR_EQUAL_THAN(node.id(), "window size spatial X", window_size.spatial[0], "", 0, "Size X (of pooling window) must be positive (>= 1)");
        CLDNN_ERROR_LESS_OR_EQUAL_THAN(node.id(), "window size spatial Y", window_size.spatial[1], "", 0, "Size Y (of pooling window) must be positive (>= 1)");

        tensor output_size(input_layout.size.batch[0], input_layout.size.feature[0],
            desc->output_size.spatial[0], desc->output_size.spatial[1]);
        return{ input_layout.data_type, input_layout.format, output_size };
    }

    std::string average_unpooling_inst::to_string(average_unpooling_node const& node)
    {
        auto desc = node.get_primitive();
        auto node_info = node.desc_to_json();
        auto& input = node.input();
        auto& strd = desc->stride;
        auto& window_size = desc->size;

        std::stringstream primitive_description;

        json_composite average_unpooling_info;
        average_unpooling_info.add("input", input.id());
        average_unpooling_info.add("stride", strd.to_string());
        average_unpooling_info.add("window size", window_size.to_string());

        node_info->add("average_unpooling info", average_unpooling_info);
        node_info->dump(primitive_description);

        return primitive_description.str();
    }

    average_unpooling_inst::typed_primitive_inst(network_impl& network, average_unpooling_node const& node)
        :parent(network, node)
    {
    }

}
