/*
// 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.
*/

#include "normalize_inst.h"
#include "primitive_type_base.h"
#include "error_handler.h"
#include "json_object.h"

namespace cldnn
{
primitive_type_id normalize_type_id()
{
    static primitive_type_base<normalize> instance;
    return &instance;
}

layout normalize_inst::calc_output_layout(normalize_node const& node)
{
    assert((bool)node.get_primitive()->output_data_type == false
           && "Output data type forcing is not supported for normalize_node!");
    return node.input().get_non_padded_output_layout();
}

std::string normalize_inst::to_string(normalize_node const& node)
{
    auto node_info    = node.desc_to_json();
    auto desc         = node.get_primitive();
    auto epsilon      = desc->epsilon;
    auto norm_region  = desc->across_spatial ? "across spatial" : "within spatial";
    auto& input       = node.input();
    auto& scale_input = node.scale();
    
    std::stringstream primitive_description;

    json_composite normalize_info;
    normalize_info.add("input id", input.id());
    normalize_info.add("scale input id", scale_input.id());
    normalize_info.add("epsilon", epsilon);
    normalize_info.add("normalization region", norm_region);

    node_info->add("noramlize info", normalize_info);
    node_info->dump(primitive_description);

    return primitive_description.str();
}

normalize_inst::typed_primitive_inst(network_impl& network, normalize_node const& node)
    :parent(network, node)
{
    /// Scale x dimension should be 1 (if all channels have the same scale) or equal to input feature size (one scale per channel).
    auto scale_layout = node.scale().get_output_layout();
    auto scale_size = scale_layout.size;
    auto scale_feature_size = scale_size.spatial[0];
    auto input_layout = node.input().get_output_layout();
    auto input_feature_size = input_layout.size.feature[0];

    if (scale_feature_size != 1)
    {
        CLDNN_ERROR_NOT_EQUAL(node.id(), "Scale feature size", scale_feature_size, "input feature size", input_feature_size, "");
    }

    // All other dimensions should be 1
    CLDNN_ERROR_NOT_EQUAL(node.id(), "Scale input size elements count", (int32_t)scale_size.count(), "scale feature size", scale_feature_size, "Dimensions mismatch of scale input in Normalize layer!");

}
}
