//*****************************************************************************
// Copyright 2017-2021 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 <string>
#include <vector>

#include "gtest/gtest.h"

#include "ngraph/op/mish.hpp"
#include "ngraph/runtime/host_tensor.hpp"
#include "ngraph/validation_util.hpp"
#include "runtime/backend.hpp"
#include "util/test_tools.hpp"
#include "util/type_prop.hpp"

using namespace std;
using namespace ngraph;

TEST(op_eval, mish_0D)
{
    auto p = make_shared<op::Parameter>(element::f32, Shape{});
    auto mish = make_shared<op::v4::Mish>(p);
    auto fun = make_shared<Function>(OutputVector{mish}, ParameterVector{p});

    std::vector<std::vector<float>> inputs{{-1.0}, {1.0}, {20.0}};
    std::vector<std::vector<float>> expected_result{{-0.303401}, {0.86509835720062256}, {20.0}};

    for (size_t i = 0; i < inputs.size(); i++)
    {
        auto result = make_shared<HostTensor>();
        ASSERT_TRUE(
            fun->evaluate({result}, {make_host_tensor<element::Type_t::f32>(Shape{}, inputs[i])}));
        EXPECT_EQ(result->get_element_type(), element::f32);
        EXPECT_EQ(result->get_shape(), (Shape{}));
        auto result_data = read_vector<float>(result);
        EXPECT_NEAR(result_data[0], expected_result[i][0], 0.000001);
    }
}
