parse_matmul.cpp

#include <migraphx/onnx/op_parser.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/common.hpp>
#include <migraphx/make_op.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace onnx {

struct parse_matmul : op_parser<parse_matmul>
{
    std::vector<op_desc> operators() const
    {
        return {{"MatMul", "dot"}, {"MatMulInteger", "quant_dot"}};
    }

    instruction_ref parse(const op_desc& opd,
                          const onnx_parser& /*parser*/,
                          const onnx_parser::node_info& info,
                          std::vector<instruction_ref> args) const
    {
        auto l0      = args[0];
        auto l1      = args[1];
        auto l0_lens = l0->get_shape().lens();
        auto l1_lens = l1->get_shape().lens();

        // args[0] is a vector, prepend 1 to the shape
        bool is_a_prepended = false;
        if(l0_lens.size() == 1)
        {
            is_a_prepended = true;
            l0_lens.insert(l0_lens.begin(), 1);
            l0 = info.add_instruction(make_op("unsqueeze", {{"axes", {0}}}), args[0]);
        }

        bool is_b_appended = false;
        if(l1_lens.size() == 1)
        {
            is_b_appended = true;
            l1_lens.push_back(1);
            l1 = info.add_instruction(make_op("unsqueeze", {{"axes", {1}}}), args[1]);
        }

        instruction_ref bl0 = l0;
        instruction_ref bl1 = l1;
        if(!std::equal(l0_lens.rbegin() + 2, l0_lens.rend(), l1_lens.rbegin() + 2, l1_lens.rend()))
        {
            auto l0_it = l0_lens.begin() + l0_lens.size() - 2;
            std::vector<std::size_t> l0_broadcasted_lens(l0_lens.begin(), l0_it);
            auto l1_it = l1_lens.begin() + l1_lens.size() - 2;
            std::vector<std::size_t> l1_broadcasted_lens(l1_lens.begin(), l1_it);
            auto output_lens = compute_broadcasted_lens(l0_broadcasted_lens, l1_broadcasted_lens);
            l0_broadcasted_lens = output_lens;
            l0_broadcasted_lens.insert(l0_broadcasted_lens.end(), l0_it, l0_lens.end());
            l1_broadcasted_lens = output_lens;
            l1_broadcasted_lens.insert(l1_broadcasted_lens.end(), l1_it, l1_lens.end());
            if(l0_lens != l0_broadcasted_lens)
            {
                bl0 = info.add_instruction(
                    make_op("multibroadcast", {{"out_lens", l0_broadcasted_lens}}), l0);
            }
            if(l1_lens != l1_broadcasted_lens)
            {
                bl1 = info.add_instruction(
                    make_op("multibroadcast", {{"out_lens", l1_broadcasted_lens}}), l1);
            }
        }
        instruction_ref dot_res;
        if(opd.op_name == "dot")
        {
            dot_res = info.add_instruction(make_op(opd.op_name), bl0, bl1);
        }
        else
        {
            dot_res =
                info.add_instruction(make_op(opd.op_name, {{"alpha", 1}, {"beta", 0}}), bl0, bl1);
        }
        int64_t num_axis = static_cast<int64_t>(dot_res->get_shape().lens().size());
        if(is_a_prepended)
        {
            dot_res = info.add_instruction(make_op("squeeze", {{"axes", {num_axis - 2}}}), dot_res);
            --num_axis;
        }
        if(is_b_appended)
        {
            dot_res = info.add_instruction(make_op("squeeze", {{"axes", {num_axis - 1}}}), dot_res);
        }

        return dot_res;
    }
};

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