* 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 infershape_reduce_util.cpp
* \brief
*/
#include "op_common/log/log.h"
#include "op_common/op_host/infershape_reduce_util.h"
namespace Ops {
namespace Base {
ge::graphStatus InferShape4Reduce(gert::InferShapeContext* context)
{
auto inShape = context->GetInputShape(0);
OP_CHECK_NULL_WITH_CONTEXT(context, inShape);
auto axesTensor = context->GetInputTensor(1);
OP_CHECK_NULL_WITH_CONTEXT(context, axesTensor);
auto outShape = context->GetOutputShape(0);
OP_CHECK_NULL_WITH_CONTEXT(context, outShape);
auto attrs = context->GetAttrs();
OP_CHECK_NULL_WITH_CONTEXT(context, attrs);
const bool* keepDims = attrs->GetAttrPointer<bool>(0);
OP_CHECK_NULL_WITH_CONTEXT(context, keepDims);
auto axesSize = static_cast<int32_t>(axesTensor->GetShapeSize());
OP_CHECK_IF(axesSize < 0, OP_LOGE(context->GetNodeName(), "axes num cannot be less than 0!"),
return ge::GRAPH_FAILED);
if (axesSize == 0) {
*outShape = *inShape;
OP_LOGD(context->GetNodeName(), "axes is empty tensor, will ignore infer, set output shape = input shape");
return ge::GRAPH_SUCCESS;
}
auto dtype = axesTensor->GetDataType();
OP_CHECK_IF(dtype != ge::DT_INT32 && dtype != ge::DT_INT64,
OP_LOGE(context->GetNodeName(), "axes datatype %s must in (int32, int64)", ToString(dtype).c_str()),
return ge::GRAPH_FAILED);
if (dtype == ge::DT_INT32) {
return ReduceDims<int32_t>(inShape, axesTensor, axesSize, *keepDims, outShape);
}
return ReduceDims<int64_t>(inShape, axesTensor, axesSize, *keepDims, outShape);
}
}
}