* 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 col2imv2_onnx_plugin.cpp
* \brief
*/
#include "onnx_common.h"
#include "op_cv_proto_extend.h"
using namespace ge;
namespace {
const int ATTR_INTS = 2;
}
namespace domi {
using NodeProto = ge::onnx::NodeProto;
namespace {
static void SetCol2ImV2ByCondition(
ge::Operator& op_dest, bool set_dilations_flag, std::vector<int>& v_dilations, bool set_pads_flag,
std::vector<int>& v_pads, bool set_strides_flag, std::vector<int>& v_strides)
{
if (set_dilations_flag) {
op_dest.SetAttr("dilation", v_dilations);
}
if (set_pads_flag) {
op_dest.SetAttr("padding", v_pads);
}
if (set_strides_flag) {
op_dest.SetAttr("stride", v_strides);
}
}
static void SetCol2ImV2ByNode(ge::Operator& op_dest, const ge::onnx::NodeProto* node)
{
op_dest.SetAttr("name", node->name());
op_dest.SetAttr("original_type", "ai.onnx::18::Col2Im");
int input_size = node->input_size();
int output_size = node->output_size();
op_dest.DynamicInputRegister("x", input_size);
op_dest.DynamicOutputRegister("y", output_size);
}
}
static Status ParseOnnxParamsCol2ImV2(const Message* op_src, ge::Operator& op_dest)
{
const ge::onnx::NodeProto* node = dynamic_cast<const ge::onnx::NodeProto*>(op_src);
if (node == nullptr) {
OP_LOGE(GetOpName(op_dest).c_str(), "Dynamic cast op_src to NodeProto failed.");
return FAILED;
}
std::vector<int> v_dilations = {};
bool set_dilations_flag = false;
std::vector<int> v_pads = {};
bool set_pads_flag = false;
std::vector<int> v_strides = {};
bool set_strides_flag = false;
for (const auto& attr : node->attribute()) {
if (attr.name() == "dilations" && attr.type() == ge::onnx::AttributeProto::INTS) {
if (attr.ints_size() == ATTR_INTS) {
for (int i = 0; i < attr.ints_size(); i++) {
v_dilations.push_back(attr.ints(i));
}
} else {
OP_LOGE(GetOpName(op_dest).c_str(), "length of dilations must be 2.");
return FAILED;
}
set_dilations_flag = true;
} else if (attr.name() == "pads" && attr.type() == ge::onnx::AttributeProto::INTS) {
if (attr.ints_size() == ATTR_INTS) {
for (int i = 0; i < attr.ints_size(); i++) {
v_pads.push_back(attr.ints(i));
}
} else {
OP_LOGE(GetOpName(op_dest).c_str(), "length of pads must be 2.");
return FAILED;
}
set_pads_flag = true;
} else if (attr.name() == "strides" && attr.type() == ge::onnx::AttributeProto::INTS) {
if (attr.ints_size() == ATTR_INTS) {
for (int i = 0; i < attr.ints_size(); i++) {
v_strides.push_back(attr.ints(i));
}
} else {
OP_LOGE(GetOpName(op_dest).c_str(), "length of strides must be 2.");
return FAILED;
}
set_strides_flag = true;
}
}
SetCol2ImV2ByCondition(
op_dest, set_dilations_flag, v_dilations, set_pads_flag, v_pads, set_strides_flag, v_strides);
SetCol2ImV2ByNode(op_dest, node);
return SUCCESS;
}
static Status ParseOnnxOpToGraphCol2ImV2(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;
}
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);
std::vector<int32_t> dilation;
if (op.GetAttr("dilation", dilation) != ge::GRAPH_SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "get attr dilation failed");
return FAILED;
}
std::vector<int32_t> padding;
if (op.GetAttr("padding", padding) != ge::GRAPH_SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "get attr padding failed");
return FAILED;
}
std::vector<int32_t> stride;
if (op.GetAttr("stride", stride) != ge::GRAPH_SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "get attr stride failed");
return FAILED;
}
ge::Operator::OpListInt dilation_value = {dilation[0], dilation[1]};
ge::Operator::OpListInt padding_value = {padding[0], padding[1]};
ge::Operator::OpListInt stride_value = {stride[0], stride[1]};
auto cast_op = op::Cast((ori_name + "_cast").c_str()).set_input_x(data1).set_attr_dst_type(3);
auto col2im_v2 = op::Col2ImV2((ori_name + "_Col2ImV2").c_str())
.set_input_x(data0)
.set_input_output_size(cast_op)
.set_input_kernel_size(data2)
.set_attr_dilation(dilation_value)
.set_attr_padding(padding_value)
.set_attr_stride(stride_value);
if (ChangeFormatFromOnnx(col2im_v2, 0, ge::FORMAT_NCHW, true) != SUCCESS ||
ChangeFormatFromOnnx(col2im_v2, 0, ge::FORMAT_NCHW, false) != SUCCESS) {
return FAILED;
}
std::vector<ge::Operator> inputs = {data0, data1, data2};
std::vector<std::pair<ge::Operator, std::vector<size_t>>> output_indexs;
output_indexs.emplace_back(col2im_v2, vector<std::size_t>{0});
graph.SetInputs(inputs).SetOutputs(output_indexs);
return SUCCESS;
}
REGISTER_CUSTOM_OP("PartitionedCall")
.FrameworkType(ONNX)
.OriginOpType({ge::AscendString("ai.onnx::18::Col2Im")})
.ParseParamsFn(ParseOnnxParamsCol2ImV2)
.ParseOpToGraphFn(ParseOnnxOpToGraphCol2ImV2)
.ImplyType(ImplyType::TVM);
}
