#include <migraphx/onnx/padding.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/pad_calc.hpp>
#include <migraphx/stringutils.hpp>
#include <migraphx/make_op.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace onnx {

void cal_auto_padding_size(onnx_parser::node_info info,
                           value& v,
                           const std::vector<std::size_t>& k_lens,
                           const std::vector<std::size_t>& dilation,
                           const std::vector<std::size_t>& in_lens,
                           std::vector<int64_t>& paddings)
{
    size_t kdims = in_lens.size() - 2;
    assert(k_lens.size() == kdims and dilation.size() == kdims);

    if(!contains(info.attributes, "auto_pad"))
    {
        return;
    }

    auto auto_pad = info.attributes["auto_pad"].s();
    if(auto_pad.find("SAME") != std::string::npos)
    {
        bool is_same_upper = (auto_pad.find("SAME_UPPER") != std::string::npos);
        paddings.resize(2 * kdims);

        for(size_t i = 0; i < paddings.size() / 2; i++)
        {
            calculate_padding(i,
                              paddings,
                              in_lens[i + 2],
                              v["stride"][i].to<int64_t>(),
                              dilation[i],
                              k_lens[i],
                              is_same_upper);
        }
    }
}

bool is_asym_padding(const std::vector<int64_t>& padding)
{
    assert(padding.size() % 2 == 0);
    size_t pad_ndims = padding.size() / 2;

    for(size_t i = 0; i < pad_ndims; i++)
    {
        if(padding[i] != padding[i + pad_ndims])
        {
            return true;
        }
    }
    return false;
}

void check_padding_mode(const onnx_parser::node_info& info, const std::string& op_name)
{
    // ensure pads availabe only when auto_pad is "NOT_SET"
    if(contains(info.attributes, "pads") and contains(info.attributes, "auto_pad"))
    {
        auto s = info.attributes.at("auto_pad").s();
        if(to_upper(s) != "NOTSET")
        {
            MIGRAPHX_THROW("PARSE_" + op_name +
                           ": auto_pad and padding cannot be specified simultaneously");
        }
    }
}

static void
tune_padding_to_symmetric(int64_t& left, int64_t& right, const int stride, int64_t& s_start)
{
    s_start = 0;
    if(left > right)
    {
        right = left;
    }
    else if(left < right)
    {
        auto diff = right - left;
        s_start   = (diff + stride - 1) / stride;
        left      = left + s_start * stride;
        right     = left;
    }
}

void tune_padding_size(const value& v,
                       std::vector<int64_t>& padding,
                       int count_include_pad,
                       std::vector<int64_t>& s_start)
{
    // maxpooling or count_include_pad is 1, no change is required.
    if(v.at("mode").to<std::string>() == "max" or count_include_pad == 1)
    {
        return;
    }

    // if padding is symmetric, return directly
    if(!is_asym_padding(padding))
    {
        return;
    }

    // asymmetric padding, make it symmetric
    std::size_t n_dims = padding.size() / 2;
    s_start.resize(n_dims);
    for(std::size_t i = 0; i < n_dims; ++i)
    {
        tune_padding_to_symmetric(
            padding[i], padding[i + n_dims], v.at("stride")[i].to<int64_t>(), s_start[i]);
    }
}

void check_asym_padding(const onnx_parser::node_info& info,
                        instruction_ref& ins,
                        const std::vector<int64_t>& padding,
                        value& v,
                        int count_include_pad,
                        float pad_val)
{
    size_t pad_ndims  = padding.size() / 2;
    auto left_pad_it  = padding.begin();
    auto right_pad_it = left_pad_it + pad_ndims;

    if(is_asym_padding(padding) or count_include_pad == 1)
    {
        std::vector<int64_t> asym_pads{0, 0, 0, 0}; // don't pad N and C
        // add left pads
        asym_pads.insert(asym_pads.begin() + 2, left_pad_it, right_pad_it);
        // add right pads
        asym_pads.insert(asym_pads.begin() + pad_ndims + 4, right_pad_it, padding.end());
        ins = info.add_instruction(make_op("pad", {{"pads", asym_pads}, {"value", pad_val}}), ins);
    }
    else
    {
        v["padding"] = std::vector<size_t>(left_pad_it, right_pad_it);
    }
}

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