#include <migraphx/gpu/prefuse_ops.hpp>
#include <migraphx/match/layernorm.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/register_op.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace gpu {
namespace {
struct layernorm
{
    std::string name() const { return "gpu::prelayernorm"; }

    shape compute_shape(std::vector<shape> inputs) const
    {
        check_shapes{inputs, *this}.has(1);
        auto s = inputs.at(0);
        if(s.scalar())
        {
            return s;
        }
        else if(s.broadcasted())
        {
            return {s.type(), s.lens()};
        }
        else
        {
            return s.with_lens(s.lens());
        }
    }
};
MIGRAPHX_REGISTER_OP(layernorm);

struct find_layernorm
{
    auto matcher() const { return match::layernorm(); }

    void apply(module& m, const match::matcher_result& r) const
    {
        auto ins   = r.result;
        auto x_ins = r.instructions["x"];

        m.replace_instruction(ins, layernorm{}, x_ins);
    }
};

struct find_gpulayernorm
{
    auto matcher() const { return match::layernorm(); }

    void apply(module& m, const match::matcher_result& r) const
    {
        auto ins   = r.result;
        auto x_ins = r.instructions["x"];

        if(not x_ins->get_shape().standard())
            x_ins = m.insert_instruction(ins, make_op("contiguous"), x_ins);

        auto relements = x_ins->get_shape().lens().back();

        if(relements > 1024 or (relements % 4 != 0 and relements > 256))
            return;

        auto a = m.insert_instruction(
            ins, make_op("hip::allocate", {{"shape", to_value(x_ins->get_shape())}}));
        m.replace_instruction(ins, make_op("gpu::layernorm"), x_ins, a);
    }
};

struct find_gputriaddlayernorm
{
    auto matcher() const
    {
        auto add1 =
            match::name("add")(match::none_of(match::is_constant()),
                               match::args(match::any().bind("z1"), match::any().bind("z2")));
        auto add2 = match::name("add")(match::either_arg(0, 1)(add1, match::any().bind("z3")));
        return match::layernorm()(match::var("x")(add2));
    }

    void apply(module& m, const match::matcher_result& r) const
    {
        auto ins   = r.result;
        auto x_ins = r.instructions["z1"];
        auto y_ins = r.instructions["z2"];
        auto z_ins = r.instructions["z3"];

        for(auto* pins : {&x_ins, &y_ins, &z_ins})
        {
            if(not(*pins)->get_shape().standard())
                *pins = m.insert_instruction(ins, make_op("contiguous"), *pins);
        }

        auto relements = x_ins->get_shape().lens().back();

        if(relements > 1024 or (relements % 4 != 0 and relements > 256))
            return;

        auto a = m.insert_instruction(
            ins, make_op("hip::allocate", {{"shape", to_value(x_ins->get_shape())}}));
        m.replace_instruction(ins, make_op("gpu::triadd_layernorm"), x_ins, y_ins, z_ins, a);
    }
};
} // namespace

void prefuse_ops::apply(module& m) const
{
    match::find_matches(m, find_layernorm{});
    // match::find_matches(m, find_gputriaddlayernorm{}, find_gpulayernorm{});
}

} // namespace gpu
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
