//*****************************************************************************
// Copyright 2017-2020 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 <cstdint>
#include <memory>

#include "default_opset.hpp"
#include "dequantize_linear.hpp"
#include "ngraph/axis_set.hpp"
#include "ngraph/builder/make_constant.hpp"
#include "ngraph/op/convert.hpp"
#include "ngraph/op/dequantize.hpp"
#include "ngraph/opsets/opset0.hpp"
#include "ngraph/shape.hpp"
#include "ngraph/validation_util.hpp"

namespace ngraph
{
    namespace onnx_import
    {
        namespace op
        {
            namespace set_1
            {
                NodeVector dequantize_linear(const Node& node)
                {
                    NodeVector inputs{node.get_ng_inputs()};
                    std::shared_ptr<ngraph::Node> x = inputs.at(0);
                    std::shared_ptr<ngraph::Node> x_scale = inputs.at(1);
                    std::shared_ptr<ngraph::Node> zero_point;
                    if (inputs.size() == 3 && !inputs.at(2)->is_null())
                    {
                        zero_point = inputs.at(2);
                    }
                    else
                    {
                        zero_point =
                            ngraph::builder::make_constant(x->get_element_type(), Shape{}, 0);
                    }

                    Shape y_scale_shape = x_scale->get_shape();
                    Shape y_zero_point_shape = zero_point->get_shape();

                    // get axis twice with two default values to see if it is set
                    int64_t axis_0{node.get_attribute_value<int64_t>("axis", 0)};
                    int64_t axis_1{node.get_attribute_value<int64_t>("axis", 1)};

                    const auto data_rank = x->get_output_partial_shape(0).rank();
                    AxisSet axes;
                    // if axis attribute is set
                    if (axis_0 == axis_1)
                    {
                        axes.insert(
                            ngraph::normalize_axis(node.get_description(), axis_0, data_rank));
                    }

                    if (x->get_element_type() != zero_point->get_element_type())
                    {
                        zero_point = std::make_shared<default_opset::Convert>(
                            zero_point, x->get_element_type());
                    }

                    return {std::make_shared<ngraph::opset0::Dequantize>(
                        x, x_scale, zero_point, x_scale->get_element_type(), axes)};
                }

            } // namespace set_1

        } // namespace op

    } // namespace onnx_import

} // namespace ngraph
