/*
 * The MIT License (MIT)
 *
 * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
#include <migraphx/onnx/op_parser.hpp>
#include <migraphx/onnx/checks.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/make_op.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace onnx {

struct parse_eyelike : op_parser<parse_eyelike>
{
    std::vector<op_desc> operators() const { return {{"EyeLike"}}; }

    instruction_ref parse(const op_desc&,
                          const onnx_parser&,
                          const onnx_parser::node_info& info,
                          std::vector<instruction_ref> args) const
    {
        auto input_shape = args[0]->get_shape();
        auto input_lens  = input_shape.lens();
        if(input_lens.size() != 2)
        {
            MIGRAPHX_THROW("EYELIKE: tensor input not of rank 2");
        }
        std::ptrdiff_t num_rows = input_lens.front();
        std::ptrdiff_t num_cols = input_lens.back();

        shape::type_t output_type = args[0]->get_shape().type();
        if(contains(info.attributes, "dtype"))
        {
            output_type = get_type(info.attributes.at("dtype").i());
        }

        std::ptrdiff_t k = 0;
        if(contains(info.attributes, "k"))
        {
            k = info.attributes.at("k").i();
        }
        if(k >= 0)
        {
            if(k >= num_cols)
            {
                std::ostringstream oss;
                oss << "EYELIKE: positive k out of bounds, k = " << k << " num_cols = " << num_cols;
                MIGRAPHX_THROW(oss.str());
            }
        }
        else
        {
            if(std::abs(k) >= num_rows)
            {
                std::ostringstream oss;
                oss << "EYELIKE: negative k out of bounds, k = " << k << " num_rows = " << num_cols;
                MIGRAPHX_THROW(oss.str());
            }
        }

        std::vector<char> eyelike_mat(num_rows * num_cols, 0);
        for(std::ptrdiff_t i = 0; i < num_rows; ++i)
        {
            auto idx = i + k;
            if(idx < num_cols and idx >= 0)
                eyelike_mat[(num_cols + 1) * i + k] = char{1};
        }
        return info.add_literal(
            migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat});
    }
};

} // namespace onnx
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx