* 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 "onnx_common.h"
#include "roi_align_proto.h"
using namespace std;
using namespace ge;
using ge::Operator;
namespace domi {
using NodeProto = ge::onnx::NodeProto;
static Status OpRoiAlignUpdateInfo(const Message* op_src, ge::Operator& op_dest)
{
const NodeProto* node = dynamic_cast<const NodeProto*>(op_src);
if (node == nullptr) {
OP_LOGE(GetOpName(op_dest).c_str(), "Dynamic cast op_src to NodeProto failed.");
return FAILED;
}
int output_height_value = 1;
int output_width_value = 1;
int sampling_ratio_value = 0;
float spatial_scale_value = 1.0;
for (auto attr : node->attribute()) {
if (attr.name() == "output_height" && attr.type() == ge::onnx::AttributeProto::INT) {
output_height_value = attr.i();
} else if (attr.name() == "output_width") {
output_width_value = attr.i();
} else if (attr.name() == "sampling_ratio") {
sampling_ratio_value = attr.i();
} else if (attr.name() == "spatial_scale") {
spatial_scale_value = attr.f();
}
}
int input_size = node->input_size();
op_dest.SetAttr("name", node->name());
op_dest.SetAttr("pooled_height", output_height_value);
op_dest.SetAttr("pooled_width", output_width_value);
op_dest.SetAttr("sample_num", sampling_ratio_value);
op_dest.SetAttr("spatial_scale", spatial_scale_value);
op_dest.DynamicInputRegister("x", input_size);
op_dest.DynamicOutputRegister("y", 1);
return SUCCESS;
}
static Status ParseParamsRoiAlign(const Message* op_src, ge::Operator& op_dest)
{
if (OpRoiAlignUpdateInfo(op_src, op_dest) != SUCCESS) {
return FAILED;
}
int default_roi_end_mode_value = 0;
op_dest.SetAttr("roi_end_mode", default_roi_end_mode_value);
op_dest.SetAttr("original_type", ge::AscendString("ai.onnx::11::RoiAlign"));
return SUCCESS;
}
static Status ParseParamsRoiAlignV16(const Message* op_src, ge::Operator& op_dest)
{
if (OpRoiAlignUpdateInfo(op_src, op_dest) != SUCCESS) {
return FAILED;
}
const NodeProto* node = dynamic_cast<const NodeProto*>(op_src);
if (node == nullptr) {
OP_LOGE(GetOpName(op_dest).c_str(), "Dynamic cast op_src to NodeProto failed.");
return FAILED;
}
int default_roi_end_mode_value = 2;
for (auto attr : node->attribute()) {
if (attr.name() == "coordinate_transformation_mode" && attr.type() == ge::onnx::AttributeProto::STRING &&
attr.s() == "output_half_pixel") {
default_roi_end_mode_value = 0;
}
}
op_dest.SetAttr("roi_end_mode", default_roi_end_mode_value);
op_dest.SetAttr("original_type", ge::AscendString("ai.onnx::16::RoiAlign"));
return SUCCESS;
}
static Status ParseOpToGraphRoiAlign(const ge::Operator& op, Graph& graph)
{
std::string ori_name;
if (op.GetAttr("name", ori_name) != SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "get name from op failed.");
return FAILED;
}
int pooled_height = 1;
op.GetAttr("pooled_height", pooled_height);
int pooled_width = 1;
op.GetAttr("pooled_width", pooled_width);
int sample_num = 0;
op.GetAttr("sample_num", sample_num);
float spatial_scale = 1.0f;
op.GetAttr("spatial_scale", spatial_scale);
int roi_end_mode = 0;
op.GetAttr("roi_end_mode", roi_end_mode);
auto data0 = op::Data((ori_name + "_data0").c_str()).set_attr_index(0);
auto data1 = op::Data((ori_name + "_data1").c_str()).set_attr_index(1);
auto data2 = op::Data((ori_name + "_data2").c_str()).set_attr_index(2);
int32_t concat_dim = 1;
ge::Tensor scalar_dim = CreateScalar(concat_dim, ge::DT_INT32);
auto dim_const_op = op::Const((ori_name + "_concat_dim").c_str()).set_attr_value(scalar_dim);
std::vector<int64_t> axes = {-1};
auto unsqueeze_op = op::Unsqueeze((ori_name + "_unsqueeze").c_str()).set_input_x(data2).set_attr_axes(axes);
auto cast_op = op::Cast((ori_name + "_cast").c_str()).set_input_x(unsqueeze_op).set_attr_dst_type(DT_FLOAT);
auto cast1_op = op::Cast((ori_name + "_cast1").c_str()).set_input_x(data1).set_attr_dst_type(DT_FLOAT);
auto concat_op = op::Concat((ori_name + "_concat").c_str())
.create_dynamic_input_x(2).set_dynamic_input_x(0, cast_op)
.set_dynamic_input_x(1, cast1_op).set_input_concat_dim(dim_const_op).set_attr_N(2);
auto roli_op = op::ROIAlign((ori_name + "_roialign").c_str())
.set_input_features(data0).set_input_rois(concat_op)
.set_attr_spatial_scale(spatial_scale).set_attr_pooled_height(pooled_height)
.set_attr_pooled_width(pooled_width).set_attr_sample_num(sample_num)
.set_attr_roi_end_mode(roi_end_mode);
std::vector<ge::Operator> inputs = {data0, data1, data2};
std::vector<std::pair<ge::Operator, std::vector<size_t>>> output_indexs;
output_indexs.emplace_back(roli_op, std::vector<size_t>{0});
graph.SetInputs(inputs).SetOutputs(output_indexs);
return SUCCESS;
}
REGISTER_CUSTOM_OP("PartitionedCall")
.FrameworkType(ONNX)
.OriginOpType({ge::AscendString("ai.onnx::8::RoiAlign"),
ge::AscendString("ai.onnx::9::RoiAlign"),
ge::AscendString("ai.onnx::10::RoiAlign"),
ge::AscendString("ai.onnx::11::RoiAlign"),
ge::AscendString("ai.onnx::12::RoiAlign"),
ge::AscendString("ai.onnx::13::RoiAlign"),
ge::AscendString("ai.onnx::14::RoiAlign"),
ge::AscendString("ai.onnx::15::RoiAlign")})
.ParseParamsFn(ParseParamsRoiAlign)
.ParseOpToGraphFn(ParseOpToGraphRoiAlign)
.ImplyType(ImplyType::TVM);
REGISTER_CUSTOM_OP("PartitionedCall")
.FrameworkType(ONNX)
.OriginOpType({ge::AscendString("ai.onnx::16::RoiAlign"),
ge::AscendString("ai.onnx::17::RoiAlign"),
ge::AscendString("ai.onnx::18::RoiAlign")})
.ParseParamsFn(ParseParamsRoiAlignV16)
.ParseOpToGraphFn(ParseOpToGraphRoiAlign)
.ImplyType(ImplyType::TVM);
}
