* 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.
*/
#include "log_matrix_determinant.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(LogMatrixDeterminant);
static inline bool IsAiCoreSupport(const aclTensor *) {
return false;
}
static inline const std::tuple<const aclTensor *, const aclTensor *> LogMatrixDeterminantAiCpu(
const aclTensor *self, const aclTensor *signOut, const aclTensor *logOut, aclOpExecutor *executor) {
L0_DFX(LogMatrixDeterminantAiCpu, self, signOut, logOut);
static internal::AicpuTaskSpace space("LogMatrixDeterminant", ge::DEPEND_IN_SHAPE, true);
auto ret = ADD_TO_LAUNCHER_LIST_AICPU(LogMatrixDeterminant, OP_ATTR_NAMES(), OP_INPUT(self),
OP_OUTPUT(signOut, logOut));
OP_CHECK(ret == ACLNN_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "LogMatrixDeterminantAiCpu ADD_TO_LAUNCHER_LIST_AICPU failed."),
return std::tuple(nullptr, nullptr));
return std::tuple(signOut, logOut);
}
const std::tuple<const aclTensor *, const aclTensor *> LogMatrixDeterminant(const aclTensor *self,
aclOpExecutor *executor) {
L0_DFX(LogMatrixDeterminant, self);
auto shapeVec = ToShapeVector(self->GetViewShape());
shapeVec.pop_back();
shapeVec.pop_back();
op::Shape targetShape;
ToShape(shapeVec, targetShape);
auto signOut = executor->AllocTensor(targetShape, self->GetDataType());
CHECK_RET(signOut != nullptr, std::tuple(nullptr, nullptr));
auto logOut = executor->AllocTensor(targetShape, self->GetDataType());
CHECK_RET(logOut != nullptr, std::tuple(nullptr, nullptr));
if (IsAiCoreSupport(self)) {
return std::tuple(nullptr, nullptr);
} else {
return LogMatrixDeterminantAiCpu(self, signOut, logOut, executor);
}
}
}