* Copyright (c) 2026 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.
*
* Disclaimer: This file is generated with the assistance of an AI tool.
* Please review carefully before use.
*/
#include "aclnn_fresnel_sin.h"
#include "fresnel_sin.h"
#include "aclnn_kernels/contiguous.h"
#include "aclnn_kernels/common/op_error_check.h"
#include "opdev/op_log.h"
#include "opdev/op_dfx.h"
#include "opdev/common_types.h"
#include "opdev/data_type_utils.h"
#include "opdev/make_op_executor.h"
using namespace op;
#define ACLNN_MAX_SHAPE_RANK 8
static const std::initializer_list<op::DataType> AICORE_DTYPE_SUPPORT_LIST = {
DataType::DT_FLOAT, DataType::DT_FLOAT16, DataType::DT_BF16
};
static bool IsDtypeSupported(DataType dtype)
{
return CheckType(dtype, AICORE_DTYPE_SUPPORT_LIST);
}
static bool CheckNotNull(const aclTensor* x, const aclTensor* out)
{
OP_CHECK_NULL(x, return false);
OP_CHECK_NULL(out, return false);
return true;
}
static bool CheckDtypeValid(const aclTensor* x, const aclTensor* out)
{
OP_CHECK_DTYPE_NOT_MATCH(out, x->GetDataType(), return false);
OP_CHECK(IsDtypeSupported(x->GetDataType()),
OP_LOGE(ACLNN_ERR_PARAM_INVALID,
"FresnelSin dtype not supported: %d. Only FLOAT, FLOAT16, BFLOAT16.",
static_cast<int>(x->GetDataType())),
return false);
return true;
}
static bool CheckShape(const aclTensor* x, const aclTensor* out)
{
OP_CHECK_MAX_DIM(x, ACLNN_MAX_SHAPE_RANK, return false);
OP_CHECK_MAX_DIM(out, ACLNN_MAX_SHAPE_RANK, return false);
OP_CHECK(x->GetViewShape() == out->GetViewShape(),
OP_LOGE(ACLNN_ERR_PARAM_INVALID, "FresnelSin: x and out shape must match."),
return false);
return true;
}
static aclnnStatus CheckParams(const aclTensor* x, const aclTensor* out)
{
CHECK_COND(CheckNotNull(x, out), ACLNN_ERR_PARAM_NULLPTR, "CheckNotNull failed");
CHECK_COND(CheckDtypeValid(x, out), ACLNN_ERR_PARAM_INVALID,
"CheckDtypeValid failed: x_dtype=%d, out_dtype=%d",
static_cast<int>(x->GetDataType()),
static_cast<int>(out->GetDataType()));
CHECK_COND(CheckShape(x, out), ACLNN_ERR_PARAM_INVALID,
"CheckShape failed");
return ACLNN_SUCCESS;
}
extern "C" aclnnStatus aclnnFresnelSinGetWorkspaceSize(
const aclTensor* x, aclTensor* out,
uint64_t* workspaceSize, aclOpExecutor** executor)
{
L2_DFX_PHASE_1(aclnnFresnelSin, DFX_IN(x), DFX_OUT(out));
auto uniqueExecutor = CREATE_EXECUTOR();
CHECK_RET(uniqueExecutor.get() != nullptr, ACLNN_ERR_INNER_CREATE_EXECUTOR);
auto ret = CheckParams(x, out);
CHECK_RET(ret == ACLNN_SUCCESS, ret);
if (x->IsEmpty()) {
*workspaceSize = 0;
uniqueExecutor.ReleaseTo(executor);
return ACLNN_SUCCESS;
}
auto xContiguous = l0op::Contiguous(x, uniqueExecutor.get());
CHECK_RET(xContiguous != nullptr, ACLNN_ERR_INNER_NULLPTR);
const aclTensor* opResult = l0op::FresnelSin(xContiguous, uniqueExecutor.get());
CHECK_RET(opResult != nullptr, ACLNN_ERR_INNER_NULLPTR);
auto viewCopyResult = l0op::ViewCopy(opResult, out, uniqueExecutor.get());
CHECK_RET(viewCopyResult != nullptr, ACLNN_ERR_INNER_NULLPTR);
*workspaceSize = uniqueExecutor->GetWorkspaceSize();
uniqueExecutor.ReleaseTo(executor);
return ACLNN_SUCCESS;
}
extern "C" aclnnStatus aclnnFresnelSin(
void* workspace, uint64_t workspaceSize,
aclOpExecutor* executor, aclrtStream stream)
{
L2_DFX_PHASE_2(aclnnFresnelSin);
return CommonOpExecutorRun(workspace, workspaceSize, executor, stream);
}