/*
// 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 "batch_norm_inst.h"
#include "primitive_type_base.h"
#include "error_handler.h"
#include "json_object.h"

namespace cldnn
{
primitive_type_id batch_norm_type_id()
{
    static primitive_type_base<batch_norm> instance;
    return &instance;
}

layout batch_norm_inst::calc_output_layout(batch_norm_node const& node)
{
    return node.input().get_non_padded_output_layout();
}

std::string batch_norm_inst::to_string(batch_norm_node const& node)
{
    auto desc      = node.get_primitive();
    auto node_info = node.desc_to_json();
    auto& mean     = node.mean();
    bool variance_term = node.variance_term();
    auto& inv_var  = node.inv_variance();

    std::stringstream primitive_description;

    json_composite batch_norm_info;
    if (node.use_global_stats())
    {
        batch_norm_info.add("mean_id", mean.id());
        if (variance_term)
        {
            batch_norm_info.add("variance_id", node.variance().id());
        }
    }
    if (node.forwad_pass())
    {
        batch_norm_info.add("inv_var", inv_var.id());
    }
    batch_norm_info.add("epsilon", desc->epsilon);

    node_info.add("batch norm info", batch_norm_info);
    node_info.dump(primitive_description);

    return primitive_description.str();
}

batch_norm_inst::typed_primitive_inst(network_impl& network, batch_norm_node const& node)
    :parent(network, node) 
{
    if (use_global_stats())
    {
        auto mean_format = node.mean().get_output_layout().format;
        auto variance_format = node.variance().get_output_layout().format;

        CLDNN_ERROR_NOT_PROPER_FORMAT(node.id(), "Mean format", mean_format.value, "supported mean formats", format::yxfb, format::bfyx);
        CLDNN_ERROR_NOT_PROPER_FORMAT(node.id(), "Variance format", variance_format.value, "supported variance formats", format::yxfb, format::bfyx);
    }
}
}