//*****************************************************************************
// Copyright 2017-2018 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.
//*****************************************************************************

#pragma once

#include <memory>

#include "ngraph/node.hpp"
#include "ngraph/node_vector.hpp"
#include "ngraph/op/op.hpp"
#include "ngraph/util.hpp"

namespace ngraph
{
    namespace op
    {
        class BatchNormRelu : public Op
        {
        public:
            BatchNormRelu(double eps,
                          std::shared_ptr<Node> gamma,
                          std::shared_ptr<Node> beta,
                          std::shared_ptr<Node> input);

            BatchNormRelu(double eps,
                          std::shared_ptr<ngraph::Node> gamma,
                          std::shared_ptr<ngraph::Node> beta,
                          std::shared_ptr<ngraph::Node> input,
                          std::shared_ptr<ngraph::Node> mean,
                          std::shared_ptr<ngraph::Node> variance,
                          bool training = false);

            const Shape& get_inputs_shape() const { return m_bn_input_shape; }
            const Shape& get_variance_shape() const { return m_bn_variance_shape; }
            const Shape& get_mean_shape() const { return m_bn_mean_shape; }
            double get_eps_value() const { return m_epsilon; }
            virtual std::shared_ptr<Node>
                copy_with_new_args(const NodeVector& new_args) const override;

            bool get_training_flag() const { return m_training; }
        private:
            Shape m_bn_input_shape;
            Shape m_bn_variance_shape;
            Shape m_bn_mean_shape;
            double m_epsilon;
            bool m_training;
        };
    }
}
