// 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 <cstdint>

namespace c10 {

/**
 * This is the data type for quantized Tensors. Right now we only have
 * qint8 which is for 8 bit Tensors, and qint32 for 32 bit int Tensors,
 * we might have 4 bit, 2 bit or 1 bit data types in the future.
 */
struct alignas(1) qint8 {
  using underlying = int8_t;
  int8_t val_;
  qint8() = default;
  explicit constexpr qint8(int8_t val) : val_(val) {}
};

}  // namespace c10

namespace at {
using c10::qint8;
}  // namespace at

namespace torch {
using c10::qint8;
}  // namespace torch