* This program is free software, you can redistribute it and/or modify.
* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This file is a part of the CANN Open Software.
* Licensed under 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 adaptive_max_pool3d_infershape.cpp
* \brief
*/
#include <vector>
#include "register/op_impl_registry.h"
#include "log/log.h"
#include "util/shape_util.h"
using namespace ge;
using namespace std;
namespace {
constexpr size_t X_INDEX = 0;
constexpr size_t Y_INDEX = 0;
constexpr size_t INDEX_OUTPUT_SIZE = 0;
constexpr size_t INDEX_OUT_MAX = 0;
constexpr size_t INDEX_OUT_INDICES = 1;
constexpr size_t INDEX_DTYPE = 1;
constexpr size_t INT32_DTYPE = 3;
constexpr size_t NCDHW_DIMS = 5;
constexpr size_t CDHW_DIMS = 4;
constexpr size_t OUTPUT_SIZE_DIMS = 3;
constexpr size_t ONE_DIMS = 1;
constexpr size_t NONE_DIMS = 0;
}
namespace ops {
static ge::graphStatus InferShape4AdaptiveMaxPool3d(gert::InferShapeContext* context)
{
const gert::Shape* x_shape = context->GetInputShape(X_INDEX);
OP_CHECK_NULL_WITH_CONTEXT(context, x_shape);
gert::Shape* y_shape = context->GetOutputShape(Y_INDEX);
OP_CHECK_NULL_WITH_CONTEXT(context, y_shape);
gert::Shape* indices_shape = context->GetOutputShape(INDEX_OUT_INDICES);
OP_CHECK_NULL_WITH_CONTEXT(context, indices_shape);
auto attr_ptr = context->GetAttrs();
OP_CHECK_NULL_WITH_CONTEXT(context, attr_ptr);
auto output_size_ptr = attr_ptr->GetAttrPointer<gert::ContinuousVector>(INDEX_OUTPUT_SIZE);
OP_CHECK_NULL_WITH_CONTEXT(context, output_size_ptr);
auto output_size = static_cast<const int64_t*>(output_size_ptr->GetData());
const int* index_dtype_ptr = attr_ptr->GetAttrPointer<int>(INDEX_DTYPE);
OP_CHECK_NULL_WITH_CONTEXT(context, index_dtype_ptr);
if (Ops::Base::IsUnknownRank(*x_shape)) {
Ops::Base::SetUnknownRank(*y_shape);
Ops::Base::SetUnknownRank(*indices_shape);
OP_LOGD(context->GetNodeName(), "AdaptiveMaxPool3d infershape handle unknown rank.");
return ge::GRAPH_SUCCESS;
}
size_t input_dim_num = x_shape->GetDimNum();
if (Ops::Base::IsUnknownShape(*x_shape)) {
Ops::Base::SetUnknownShape(input_dim_num, *y_shape);
Ops::Base::SetUnknownShape(input_dim_num, *indices_shape);
OP_LOGD(context->GetNodeName(), "AdaptiveMaxPool3d infershape handle unknown shape.");
return ge::GRAPH_SUCCESS;
}
if (input_dim_num != NCDHW_DIMS && input_dim_num != CDHW_DIMS) {
OP_LOGE_FOR_INVALID_SHAPEDIM_WITH_REASON("AdaptiveMaxPool3d", "X", std::to_string(input_dim_num).c_str(),
"X shape dim must be 4 or 5");
return GRAPH_FAILED;
}
y_shape->SetDimNum(input_dim_num);
indices_shape->SetDimNum(input_dim_num);
size_t output_size_len = output_size_ptr->GetSize();
if (output_size_len != OUTPUT_SIZE_DIMS && output_size_len != ONE_DIMS && output_size_len != NONE_DIMS) {
OP_LOGE_FOR_INVALID_SHAPESIZE_WITH_REASON("AdaptiveMaxPool3d", "output_size",
std::to_string(output_size_len).c_str(),
"Out Size must be in [0, 1, 3]");
return GRAPH_FAILED;
}
for (size_t j = 0; j < input_dim_num - OUTPUT_SIZE_DIMS; j++) {
y_shape->SetDim(j, x_shape->GetDim(j));
indices_shape->SetDim(j, x_shape->GetDim(j));
}
std::vector<int> realOutDims = {};
if (output_size_len == OUTPUT_SIZE_DIMS) {
for (size_t i = 0; i < OUTPUT_SIZE_DIMS; i++) {
realOutDims.push_back(output_size[i]);
}
} else if (output_size_len == ONE_DIMS) {
for (size_t i = 0; i < OUTPUT_SIZE_DIMS; i++) {
realOutDims.push_back(output_size[0]);
}
} else {
for (size_t i = 0; i < OUTPUT_SIZE_DIMS; i++) {
realOutDims.push_back(x_shape->GetDim(i + input_dim_num - OUTPUT_SIZE_DIMS));
}
}
for (size_t i = 0; i < OUTPUT_SIZE_DIMS; i++) {
y_shape->SetDim(i + input_dim_num - OUTPUT_SIZE_DIMS, realOutDims[i]);
indices_shape->SetDim(i + input_dim_num - OUTPUT_SIZE_DIMS, realOutDims[i]);
}
return GRAPH_SUCCESS;
}
static graphStatus InferDtype4AdaptiveMaxPool3d(gert::InferDataTypeContext* context)
{
if (context == nullptr) {
return GRAPH_FAILED;
}
const ge::DataType x = context->GetInputDataType(0);
context->SetOutputDataType(INDEX_OUT_MAX, x);
auto attrsPtr = context->GetAttrs();
OP_CHECK_NULL_WITH_CONTEXT(context, attrsPtr);
const int64_t* dstDtype = attrsPtr->GetAttrPointer<int64_t>(INDEX_DTYPE);
OP_CHECK_NULL_WITH_CONTEXT(context, dstDtype);
ge::DataType indicesDtype = *dstDtype == INT32_DTYPE ? ge::DT_INT32 : ge::DT_INT64;
context->SetOutputDataType(INDEX_OUT_INDICES, indicesDtype);
return GRAPH_SUCCESS;
}
IMPL_OP_INFERSHAPE(AdaptiveMaxPool3d)
.InferShape(InferShape4AdaptiveMaxPool3d)
.InferDataType(InferDtype4AdaptiveMaxPool3d);
}