// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#include <gtest/gtest.h>

#include <string>
#include <memory>
#include <queue>

#include <ngraph/function.hpp>
#include <ngraph/opsets/opset1.hpp>
#include <ngraph/opsets/opset3.hpp>
#include <ngraph/opsets/opset5.hpp>
#include <transformations/op_conversions/convert_nms_to_nms_ie_internal.hpp>
#include <transformations/op_conversions/convert_previous_nms_to_nms_5.hpp>
#include <transformations/init_node_info.hpp>
#include <transformations/utils/utils.hpp>
#include <ngraph_ops/nms_ie_internal.hpp>
#include <ngraph/pass/constant_folding.hpp>
#include <ngraph/pass/manager.hpp>

#include "common_test_utils/ngraph_test_utils.hpp"

using namespace testing;
using namespace ngraph;

TEST_F(TransformationTestsF, ConvertNMS1ToNMSIEInternal) {
    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i64, Shape{}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{}, {0.7});
        auto nms = std::make_shared<opset1::NonMaxSuppression>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, op::v1::NonMaxSuppression::BoxEncodingType::CORNER, true);

        function = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});

        manager.register_pass<ngraph::pass::ConvertNMS1ToNMS5>();
        manager.register_pass<ngraph::pass::ConvertNMSToNMSIEInternal>();
        manager.register_pass<ngraph::pass::ConstantFolding>();

        // as inside test infrastructure we can not predict output names for given Function
        // we have to enable soft names comparison manually
        enable_soft_names_comparison();
    }

    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i64, Shape{1}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.7});
        auto nms = std::make_shared<op::internal::NonMaxSuppressionIEInternal>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, 0, true, element::i32);
        auto convert = std::make_shared<opset1::Convert>(nms->output(0), element::i64);

        function_ref = std::make_shared<Function>(NodeVector{convert}, ParameterVector{boxes, scores});
    }
}

TEST_F(TransformationTestsF, ConvertNMS3ToNMSIEInternal) {
    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i32, Shape{}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{}, {0.7});
        auto nms = std::make_shared<opset3::NonMaxSuppression>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, opset3::NonMaxSuppression::BoxEncodingType::CORNER, true, element::i32);

        function = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});

        manager.register_pass<ngraph::pass::ConvertNMS3ToNMS5>();
        manager.register_pass<ngraph::pass::ConvertNMSToNMSIEInternal>();
        manager.register_pass<ngraph::pass::ConstantFolding>();
    }

    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i32, Shape{1}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.7});
        auto nms = std::make_shared<op::internal::NonMaxSuppressionIEInternal>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, 0, true, element::i32);

        function_ref = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});
    }
}

TEST_F(TransformationTestsF, ConvertNMS4ToNMSIEInternal) {
    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i32, Shape{}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{}, {0.7});
        auto nms = std::make_shared<opset4::NonMaxSuppression>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, opset4::NonMaxSuppression::BoxEncodingType::CORNER, true, element::i32);

        function = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});

        manager.register_pass<ngraph::pass::ConvertNMS4ToNMS5>();
        manager.register_pass<ngraph::pass::ConvertNMSToNMSIEInternal>();
        manager.register_pass<ngraph::pass::ConstantFolding>();
    }

    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i32, Shape{1}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.7});
        auto nms = std::make_shared<op::internal::NonMaxSuppressionIEInternal>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, 0, true, element::i32);

        function_ref = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});
    }
}

TEST_F(TransformationTestsF, ConvertNMS5ToNMSIEInternal) {
    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i32, Shape{}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{}, {0.7});
        auto soft_nms_sigma = opset1::Constant::create(element::f32, Shape{}, {0.5});
        auto nms = std::make_shared<opset5::NonMaxSuppression>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, soft_nms_sigma, opset5::NonMaxSuppression::BoxEncodingType::CORNER, true, element::i32);

        function = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});

        manager.register_pass<ngraph::pass::ConvertNMSToNMSIEInternal>();
        manager.register_pass<ngraph::pass::ConstantFolding>();
    }

    {
        auto boxes = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1000, 4});
        auto scores = std::make_shared<opset1::Parameter>(element::f32, Shape{1, 1, 1000});
        auto max_output_boxes_per_class = opset1::Constant::create(element::i32, Shape{1}, {10});
        auto iou_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.75});
        auto score_threshold = opset1::Constant::create(element::f32, Shape{1}, {0.7});
        auto soft_nms_sigma = opset1::Constant::create(element::f32, Shape{1}, {0.5});
        auto nms = std::make_shared<op::internal::NonMaxSuppressionIEInternal>(boxes, scores, max_output_boxes_per_class,
                iou_threshold, score_threshold, soft_nms_sigma, 0, true, element::i32);

        function_ref = std::make_shared<Function>(NodeVector{nms}, ParameterVector{boxes, scores});
    }
}
