/* * The MIT License (MIT) * * Copyright (c) 2015-2024 Advanced Micro Devices, Inc. All rights reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. */ #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, shape::type_t float_type) { 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 each of the inputs that are floating point to float type 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", float_type}}), input); }); // Insert quantized ins auto converted_ins = m.insert_instruction(ins, ins->get_operator(), inputs, mod_inputs); // tuple can't be directly converted, get_tuple_elem needs conversion if(ins->get_shape().type() == shape::tuple_type) { auto outputs = ins->outputs(); std::transform( outputs.begin(), outputs.end(), outputs.begin(), [&](const auto gte_ins) { auto gte_ins_float_type = m.insert_instruction(ins, gte_ins->get_operator(), converted_ins); // Convert back to output type after quantizing auto gte_converted = m.insert_instruction( ins, make_op("convert", {{"target_type", gte_ins->get_shape().type()}}), gte_ins_float_type); // Replace output instruction return m.replace_instruction(gte_ins, gte_converted); }); } else { // Convert back to original type after quantizing if(mod_inputs.empty()) { converted_ins = m.insert_instruction( ins, make_op("convert", {{"target_type", s.type()}}), converted_ins); } // Replace original instruction m.replace_instruction(ins, converted_ins); } } } void truncate_float_pass::apply(module& m) const { quantize_module(m, ins_names, float_type); } } // namespace MIGRAPHX_INLINE_NS } // namespace migraphx