//*****************************************************************************
// Copyright 2017-2019 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 <iostream>

#include <ngraph/ngraph.hpp>

using namespace ngraph;

int main()
{
    // Build the graph
    Shape s{2, 3};
    auto a = std::make_shared<op::Parameter>(element::f32, s);
    auto b = std::make_shared<op::Parameter>(element::f32, s);
    auto c = std::make_shared<op::Parameter>(element::f32, s);

    auto t1 = (a + b) * c;

    // Make the function
    auto f = std::make_shared<Function>(OutputVector{t1},
                                        ParameterVector{a, b, c});

    // Get the backend
    auto backend = runtime::Backend::create("CPU");

    // Allocate tensors for arguments a, b, c
    auto t_a = backend->create_tensor(element::f32, s);
    auto t_b = backend->create_tensor(element::f32, s);
    auto t_c = backend->create_tensor(element::f32, s);
    // Allocate tensor for the result
    auto t_result = backend->create_tensor(element::f32, s);

    // Initialize tensors
    float v_a[2][3] = {{1, 2, 3}, {4, 5, 6}};
    float v_b[2][3] = {{7, 8, 9}, {10, 11, 12}};
    float v_c[2][3] = {{1, 0, -1}, {-1, 1, 2}};

    t_a->write(&v_a, 0, sizeof(v_a));
    t_b->write(&v_b, 0, sizeof(v_b));
    t_c->write(&v_c, 0, sizeof(v_c));

    // Invoke the function
    auto exec = backend->compile(f);
    exec->call({t_result}, {t_a, t_b, t_c});

    // Get the result
    float r[2][3];
    t_result->read(&r, 0, sizeof(r));

    std::cout << "[" << std::endl;
    for (size_t i = 0; i < s[0]; ++i)
    {
        std::cout << " [";
        for (size_t j = 0; j < s[1]; ++j)
        {
            std::cout << r[i][j] << ' ';
        }
        std::cout << ']' << std::endl;
    }
    std::cout << ']' << std::endl;

    return 0;
}
