// Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. // The file has been adapted from pytorch project // Licensed under BSD-style license - // https://github.com/pytorch/pytorch/blob/main/LICENSE #pragma once #include namespace c10 { /** * quint4x2 is for un-signed 4 bit quantized Tensors that are packed to byte * boundary. */ struct alignas(1) quint4x2 { using underlying = uint8_t; uint8_t val_; quint4x2() = default; explicit constexpr quint4x2(uint8_t val) : val_(val) {} }; } // namespace c10 namespace at { using c10::quint4x2; } // namespace at namespace torch { using c10::quint4x2; } // namespace torch