//*****************************************************************************
// 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 <algorithm>
#include <cinttypes>
#include <cmath>
#include <cstdlib>
#include <string>

#include "gtest/gtest.h"
#include "ngraph/ngraph.hpp"
#include "ngraph/runtime/tensor.hpp"
#include "runtime/backend.hpp"
#include "util/all_close.hpp"
#include "util/all_close_f.hpp"
#include "util/ndarray.hpp"
#include "util/random.hpp"
#include "util/test_control.hpp"
#include "util/test_tools.hpp"

using namespace std;
using namespace ngraph;

static string s_manifest = "${MANIFEST}";

// Trivial case with no reduced axes.
NGRAPH_TEST(${BACKEND_NAME}, any_trivial)
{
    Shape shape{2, 2};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(a, vector<char>{0, 1, 1, 0});
    auto result = backend->create_tensor(element::boolean, shape);

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{0, 1, 1, 0}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2_to_scalar_true)
{
    Shape shape{2, 2};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(a, vector<char>{0, 1, 1, 0});
    auto result = backend->create_tensor(element::boolean, Shape{});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2_to_scalar_false)
{
    Shape shape{2, 2};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(a, vector<char>{0, 0, 0, 0});
    auto result = backend->create_tensor(element::boolean, Shape{});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{0}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x0_to_scalar)
{
    Shape shape{2, 0};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    auto result = backend->create_tensor(element::boolean, Shape{});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{0}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x3_eliminate_col_dim)
{
    Shape shape{2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{1}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(a, test::NDArray<char, 2>({{0, 1, 0}, {0, 0, 0}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{2});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1, 0}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x3_eliminate_row_dim)
{
    Shape shape{2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(a, test::NDArray<char, 2>({{0, 1, 0}, {0, 0, 1}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{3});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{0, 1, 1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dim_0)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{2, 3});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1, 1, 1, 0, 0, 1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dim_1)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{1}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{2, 3});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{0, 1, 1, 1, 0, 1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dim_2)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{2}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{2, 2});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1, 1, 1, 0}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_0_1)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{3});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1, 1, 1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_0_2)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 2}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{2});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1, 1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_1_2)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{1, 2}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{2});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1, 1}), read_vector<char>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, any_2x2x3_eliminate_dims_0_1_2)
{
    Shape shape{2, 2, 3};
    auto A = make_shared<op::Parameter>(element::boolean, shape);
    auto f = make_shared<Function>(make_shared<op::Any>(A, AxisSet{0, 1, 2}), ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::boolean, shape);
    copy_data(
        a, test::NDArray<char, 3>({{{0, 1, 0}, {0, 0, 1}}, {{1, 0, 1}, {0, 0, 0}}}).get_vector());
    auto result = backend->create_tensor(element::boolean, Shape{});

    auto handle = backend->compile(f);
    handle->call_with_validate({result}, {a});
    EXPECT_EQ((vector<char>{1}), read_vector<char>(result));
}
