* 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.
*/
* \file logsigmoid_grad.cpp
* \brief
*/
#include "logsigmoid_grad.h"
#include "opdev/aicpu/aicpu_task.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_def.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"
using namespace op;
namespace l0op {
OP_TYPE_REGISTER(LogSigmoidGrad);
static const std::initializer_list<op::DataType> AICORE_DTYPE_SUPPORT_LIST = {
op::DataType::DT_FLOAT, op::DataType::DT_FLOAT16, op::DataType::DT_BF16};
static bool IsAiCoreSupport(const aclTensor* self) { return CheckType(self->GetDataType(), AICORE_DTYPE_SUPPORT_LIST); }
static const aclTensor* LogSigmoidGradAiCore(const aclTensor* gradOuput, const aclTensor* self, aclTensor* gradInput,
aclOpExecutor* executor)
{
L0_DFX(LogSigmoidGradAiCore, gradOuput, self, gradInput);
ADD_TO_LAUNCHER_LIST_AICORE(LogSigmoidGrad, OP_INPUT(gradOuput, self), OP_OUTPUT(gradInput));
return gradInput;
}
const aclTensor* LogSigmoidGrad(const aclTensor* gradOutput, const aclTensor* self, aclOpExecutor* executor)
{
auto gradInput = executor->AllocTensor(self->GetViewShape(), self->GetDataType());
if (IsAiCoreSupport(self)) {
return LogSigmoidGradAiCore(gradOutput, self, gradInput, executor);
} else {
OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "LogSigmoidGrad do not have AiCpu kernel.");
return nullptr;
}
}
}