* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
* \file axpy_common_impl.h
* \brief
*/
#if !defined(__ASCENDC_INCLUDE_INTERNAL_HEADERS__)
#pragma message( \
"impl/adv_api/detail/math/axpy/axpy_common_impl.h is an internal header file and must not be used directly. Functions or variables defined in this file may be removed in the future. Please use \"#include \"adv_api/math/axpy.h\"\" and use public functions or variables defined in interface headers files.")
#define __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#define __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_MATH_AXPY_AXPY_COMMON_IMPL_H__
#endif
#ifndef IMPL_MATH_AXPY_AXPY_COMMON_IMPL_H
#define IMPL_MATH_AXPY_AXPY_COMMON_IMPL_H
#include "kernel_tensor.h"
#include "kernel_basic_intf.h"
#include "kernel_pop_stack_buffer.h"
#include "../../common/check.h"
#ifdef ASCENDC_CPU_DEBUG
#include "../../api_check/kernel_check/math/axpy/axpy_check.h"
#endif
#include "../../api_check/kernel_api_check.h"
namespace AscendC {
template <typename T, typename U>
__aicore__ inline void AxpyIntrinsicsImpl(
const LocalTensor<T>& dstTensor, const LocalTensor<U>& srcTensor, const U& scalarValue,
LocalTensor<float> stackBuffer, uint32_t stackSize)
{
ASCENDC_ASSERT(false, {
KERNEL_LOG(
KERNEL_ERROR, "Failed to check the data types, current api support data types are "
"T: half, U: half / T: float, U: float / T: half, U: float.");
});
}
* To improve precision, cast from half to float
* half mode: dstTensor dataType = half, srcTensor dataType = half
*/
template <>
__aicore__ inline void AxpyIntrinsicsImpl(
const LocalTensor<half>& dstTensor, const LocalTensor<half>& srcTensor, const half& scalarValue,
LocalTensor<float> stackBuffer, uint32_t stackSize)
{
LocalTensor<float> tmpSrc = stackBuffer[0];
LocalTensor<float> tmpDst = stackBuffer[stackSize];
const UnaryRepeatParams unaryParams;
const BinaryRepeatParams binaryParams;
Cast<float, half, false>(
tmpSrc, srcTensor, RoundMode::CAST_NONE, MASK_PLACEHOLDER, 1,
{1, 1, DEFAULT_REPEAT_STRIDE, HALF_DEFAULT_REPEAT_STRIDE});
PipeBarrier<PIPE_V>();
Cast<float, half, false>(
tmpDst, dstTensor, RoundMode::CAST_NONE, MASK_PLACEHOLDER, 1,
{1, 1, DEFAULT_REPEAT_STRIDE, HALF_DEFAULT_REPEAT_STRIDE});
PipeBarrier<PIPE_V>();
Muls<float, false>(tmpSrc, tmpSrc, (float)scalarValue, MASK_PLACEHOLDER, 1, unaryParams);
PipeBarrier<PIPE_V>();
Add<float, false>(tmpDst, tmpSrc, tmpDst, MASK_PLACEHOLDER, 1, binaryParams);
PipeBarrier<PIPE_V>();
Cast<half, float, false>(
dstTensor, tmpDst, RoundMode::CAST_NONE, MASK_PLACEHOLDER, 1,
{1, 1, HALF_DEFAULT_REPEAT_STRIDE, DEFAULT_REPEAT_STRIDE});
PipeBarrier<PIPE_V>();
}
* To improve precision, cast from half to float
* mix mode: dstTensor dataType = float, srcTensor dataType = half
*/
template <>
__aicore__ inline void AxpyIntrinsicsImpl(
const LocalTensor<float>& dstTensor, const LocalTensor<half>& srcTensor, const half& scalarValue,
LocalTensor<float> stackBuffer, uint32_t stackSize)
{
const UnaryRepeatParams unaryParams;
const BinaryRepeatParams binaryParams;
Cast<float, half, false>(
stackBuffer, srcTensor, RoundMode::CAST_NONE, MASK_PLACEHOLDER, 1,
{1, 1, DEFAULT_REPEAT_STRIDE, HALF_DEFAULT_REPEAT_STRIDE});
PipeBarrier<PIPE_V>();
Muls<float, false>(stackBuffer, stackBuffer, (float)scalarValue, MASK_PLACEHOLDER, 1, unaryParams);
PipeBarrier<PIPE_V>();
Add<float, false>(dstTensor, stackBuffer, dstTensor, MASK_PLACEHOLDER, 1, binaryParams);
PipeBarrier<PIPE_V>();
}
template <typename T>
__aicore__ inline uint32_t axpyTmpCalc(uint32_t tmpBufferSize)
{
uint32_t stackSize = tmpBufferSize;
if constexpr (sizeof(T) == sizeof(half)) {
stackSize = tmpBufferSize / 2 / ONE_BLK_SIZE * ONE_BLK_SIZE;
} else {
stackSize = tmpBufferSize / ONE_BLK_SIZE * ONE_BLK_SIZE;
}
CheckTmpBufferSize(stackSize, 0, tmpBufferSize);
return stackSize;
}
template <typename T, typename U, bool isReuseSource = false>
__aicore__ inline void AxpySub(
const LocalTensor<T>& dstTensor, const LocalTensor<U>& srcTensor, const U& scalarValue,
const LocalTensor<uint8_t>& sharedTmpBuffer, const uint32_t calCount)
{
uint32_t bufferSize = sharedTmpBuffer.GetSize();
CheckTmpBufferSize(bufferSize, 0, bufferSize);
LocalTensor<float> tmpBuffer = sharedTmpBuffer.ReinterpretCast<float>();
uint32_t tmpBufferSize = tmpBuffer.GetSize();
uint32_t stackSize = axpyTmpCalc<T>(tmpBufferSize);
const uint32_t round = calCount / stackSize;
const uint32_t tail = calCount % stackSize;
SetMaskCount();
SetVectorMask<T, MaskMode::COUNTER>(0, stackSize);
uint32_t offset = 0;
for (uint32_t i = 0; i < round; i++) {
AxpyIntrinsicsImpl(dstTensor[offset], srcTensor[offset], scalarValue, tmpBuffer, stackSize);
offset = offset + stackSize;
}
if (tail != 0) {
SetVectorMask<T, MaskMode::COUNTER>(0, tail);
AxpyIntrinsicsImpl(dstTensor[offset], srcTensor[offset], scalarValue, tmpBuffer, stackSize);
}
SetMaskNorm();
ResetMask();
}
template <typename T, typename U, bool isReuseSource>
__aicore__ inline void AxpyImpl(
const LocalTensor<T>& dstTensor, const LocalTensor<U>& srcTensor, const U scalarValue,
const LocalTensor<uint8_t>& sharedTmpBuffer, const uint32_t calCount)
{
CHECK_FUNC_HIGHLEVEL_API(
Axpy, (T, U, isReuseSource), (dstTensor, srcTensor, scalarValue, sharedTmpBuffer, calCount));
if constexpr (sizeof(U) == sizeof(float)) {
Axpy<T, U>(dstTensor, srcTensor, scalarValue, calCount);
} else {
AxpySub<T, U, isReuseSource>(dstTensor, srcTensor, scalarValue, sharedTmpBuffer, calCount);
}
}
}
#endif
#if defined(__UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_MATH_AXPY_AXPY_COMMON_IMPL_H__)
#undef __ASCENDC_INCLUDE_INTERNAL_HEADERS__
#undef __UNDEF_ASCENDC_INCLUDE_INTERNAL_HEADERS_MATH_AXPY_AXPY_COMMON_IMPL_H__
#endif
