layout_nhwc.cpp

#include <migraphx/layout_nhwc.hpp>
#include <migraphx/module.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/iterator_for.hpp>
#include <migraphx/permutation.hpp>
#include <migraphx/functional.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/eliminate_contiguous.hpp>
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/pass_manager.hpp>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {

template <class Predicate>
std::vector<instruction_ref> find_lasts(const module& m, Predicate pred)
{
    std::vector<instruction_ref> result;
    fix([&](auto self, auto ins) {
        if(pred(ins))
        {
            result.push_back(ins);
            return;
        }
        for(auto input : ins->inputs())
            self(input);
    })(std::prev(m.end()));
    return result;
}

std::unordered_set<instruction_ref> preserve_output_layout(module& m)
{
    std::unordered_set<instruction_ref> result;
    std::vector<instruction_ref> outputs =
        find_lasts(m, [](auto ins) { return ins->get_shape().lens().size() == 4; });
    for(auto output : outputs)
    {
        auto permutation = find_permutation(output->get_shape());
        auto layout      = m.insert_instruction(
            std::next(output), make_op("layout", {{"permutation", permutation}}), output);
        result.insert(m.replace_instruction(output, layout));
    }
    return result;
}

void transform_convolutions(module& m, bool skip_elim_contiguous)
{
    for(auto ins : iterator_for(m))
    {
        if(ins->name() != "convolution")
            continue;
        if(ins->get_shape().lens().size() != 4)
            continue;
        auto v = ins->get_operator().to_value();
        if(v.at("group").to<int>() > 1)
            continue;
        auto args = ins->inputs();
        if(skip_elim_contiguous)
        {
            // std::cout << "HERE" << std::endl;
            for(auto i = 0; i < args.size(); i++)
            {
                
                // std::cout << args[i]->name() << std::endl;
                if(args[i]->name() != "layout" and args[i]->get_shape().standard())
                {
                    // std::cout << "HERE2" << std::endl;
                    args[i] = m.insert_instruction(ins, make_op("layout", {{"permutation", {0, 2, 3, 1}}}), args[i]);
                    // m.debug_print(args);
                }
            }
        }
        else
            std::transform(args.begin(), args.end(), args.begin(), [&](auto& i) {
                return m.insert_instruction(ins, make_op("layout", {{"permutation", {0, 2, 3, 1}}}), i);
            });
        auto conv = m.insert_instruction(ins, ins->get_operator(), args);
        auto c = conv;
        if(not skip_elim_contiguous)
            c    = m.insert_instruction(ins, make_op("contiguous"), conv);
        m.replace_instruction(ins, c);
    }
}

void remove_layout(module& m, const std::unordered_set<instruction_ref>& output_layouts)
{
    for(auto ins : iterator_for(m))
    {
        if(ins->name() != "layout")
            continue;
        if(ins->get_shape() != ins->inputs().front()->get_shape())
            continue;
        if(contains(output_layouts, ins))
            continue;
        m.replace_instruction(ins, ins->inputs().front());
    }
}

void layout_nhwc::apply(module_pass_manager& mpm) const
{
    std::unordered_set<instruction_ref> output_layouts = preserve_output_layout(mpm.get_module());
    transform_convolutions(mpm.get_module(), this->skip_elim_contiguous);
    mpm.run_pass(dead_code_elimination{});
    if(not this->skip_elim_contiguous)
        mpm.run_pass(eliminate_contiguous{"contiguous"});
    mpm.run_pass(dead_code_elimination{});
    remove_layout(mpm.get_module(), output_layouts);
    mpm.run_pass(dead_code_elimination{});
}

} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx