#include #include #include #include #include #include #include #include #include #include namespace migraphx { inline namespace MIGRAPHX_INLINE_NS { static void quantize_module(module& m, const std::vector& ins_names) { for(auto ins : iterator_for(m)) { // instructions are not in the set to be quantized if(not(contains(ins_names, ins->name()) or contains(ins_names, "all"))) continue; // skip return and convert instructions if(contains({"@return", "convert"}, ins->name())) continue; if(ins->inputs().empty()) continue; auto mod_inputs = ins->module_inputs(); auto s = ins->get_shape(); // Convert back to original type before quantizing the inputs if(mod_inputs.empty()) { auto r = m.insert_instruction( std::next(ins), make_op("convert", {{"target_type", s.type()}}), ins); m.replace_instruction(ins, r); } // Convert each of the inputs that are floating point to fp16 auto inputs = ins->inputs(); std::transform(inputs.begin(), inputs.end(), inputs.begin(), [&](auto input) { auto input_type = input->get_shape().type(); if(input_type != shape::float_type and input_type != shape::double_type) return input; return m.insert_instruction( ins, make_op("convert", {{"target_type", shape::half_type}}), input); }); // Replace inputs m.replace_instruction(ins, ins->get_operator(), inputs, mod_inputs); } } void quantize_fp16_pass::apply(module& m) const { quantize_module(m, ins_names); } } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx