* 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 "op_math_proto_extend.h"
#include "conversion/squeeze/op_graph/squeeze_proto.h"
#include "math/cast/op_graph/cast_proto.h"
#include "conversion/split/op_graph/split_proto.h"
#include "conversion/fill/op_graph/fill_proto.h"
#include "math/shape/op_graph/shape_proto.h"
using namespace std;
using namespace ge;
using ge::Operator;
namespace domi {
using NodeProto = ge::onnx::NodeProto;
using OpDesc = std::shared_ptr<ge::OpDesc>;
static Status ParseParamsEyeLike(const Message* op_src, ge::Operator& op_dest)
{
const NodeProto* node = reinterpret_cast<const NodeProto*>(op_src);
if (node == nullptr) {
ge::AscendString op_name;
(void)op_dest.GetName(op_name);
OP_LOGE(GetOpName(op_dest).c_str(), "Dynamic cast op_src to NodeProto failed.");
return FAILED;
}
int dtype = 1;
int k = 0;
for (auto attr : node->attribute()) {
if (attr.name() == "dtype") {
dtype = attr.i();
} else if (attr.name() == "k") {
k = attr.i();
}
}
op_dest.SetAttr("name", node->name());
op_dest.SetAttr("dtype", dtype);
op_dest.SetAttr("k", k);
op_dest.SetAttr("original_type", "ai.onnx::11::EyeLike");
op_dest.DynamicInputRegister("x", 1);
op_dest.DynamicOutputRegister("y", 1);
return SUCCESS;
}
static Status ParseOpToGraphEyeLike(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 dtype = 1;
op.GetAttr("dtype", dtype);
auto om_type = GetOmDtypeFromOnnxDtype(dtype);
if (om_type == ge::DT_UNDEFINED) {
OP_LOGE(GetOpName(op).c_str(), "cur attr dype[%d] not support", dtype);
return FAILED;
}
int32_t k = 0;
op.GetAttr("k", k);
ge::Tensor scalar_k = CreateScalar(k, ge::DT_INT32);
int32_t pad = 0;
ge::Tensor scalar_pad = CreateScalar(pad, om_type);
int32_t fill = 1;
ge::Tensor scalar_fill = CreateScalar(fill, ge::DT_INT32);
int32_t split_dim = 0;
ge::Tensor scalar_split_dim = CreateScalar(split_dim, ge::DT_INT32);
auto data0 = op::Data((ori_name + "_data").c_str()).set_attr_index(0);
auto const_op = op::Const((ori_name + "_const").c_str()).set_attr_value(scalar_k);
auto shape_op = op::Shape((ori_name + "_shape").c_str()).set_input_x(data0).set_attr_dtype(ge::DT_INT32);
auto const_op_split = op::Const((ori_name + "_const3").c_str()).set_attr_value(scalar_split_dim);
auto split_op = op::Split((ori_name + "_split").c_str()).create_dynamic_output_y(2).set_input_x(shape_op)
.set_input_split_dim(const_op_split).set_attr_num_split(2);
auto add_op = op::Adds((ori_name + "_add").c_str()).set_input_x(split_op, 0).set_attr_value(k);
auto const_op2 = op::Const((ori_name + "_const2").c_str()).set_attr_value(scalar_fill);
auto fill_op = op::Fill((ori_name + "_fill").c_str()).set_input_dims(add_op).set_input_value(const_op2);
auto cast_op = op::Cast((ori_name + "_cast").c_str()).set_input_x(fill_op).set_attr_dst_type(om_type);
auto squeeze_op = op::Squeeze((ori_name + "_squeeze").c_str()).set_input_x(split_op, 0).set_attr_axis(0);
auto squeeze_op1 = op::Squeeze((ori_name + "_squeeze1").c_str()).set_input_x(split_op, 1).set_attr_axis(0);
auto const_op1 = op::Const((ori_name + "_const1").c_str()).set_attr_value(scalar_pad);
auto maxtrix_op = op::MatrixDiagV2((ori_name + "_matrix_diagv2").c_str())
.set_input_diagonal(cast_op).set_input_k(const_op).set_input_num_rows(squeeze_op)
.set_input_num_cols(squeeze_op1).set_input_padding_value(const_op1);
auto input_desc1 = maxtrix_op.GetInputDesc(2);
std::vector<int64_t> dims;
input_desc1.SetShape(ge::Shape(dims));
maxtrix_op.UpdateInputDesc("num_rows", input_desc1);
std::vector<ge::Operator> inputs = {data0};
std::vector<std::pair<ge::Operator, std::vector<size_t>>> output_indexs;
output_indexs.emplace_back(maxtrix_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::EyeLike"),
ge::AscendString("ai.onnx::9::EyeLike"),
ge::AscendString("ai.onnx::10::EyeLike"),
ge::AscendString("ai.onnx::11::EyeLike"),
ge::AscendString("ai.onnx::12::EyeLike"),
ge::AscendString("ai.onnx::13::EyeLike"),
ge::AscendString("ai.onnx::14::EyeLike"),
ge::AscendString("ai.onnx::15::EyeLike"),
ge::AscendString("ai.onnx::16::EyeLike"),
ge::AscendString("ai.onnx::17::EyeLike"),
ge::AscendString("ai.onnx::18::EyeLike")})
.ParseParamsFn(ParseParamsEyeLike)
.ParseOpToGraphFn(ParseOpToGraphEyeLike)
.ImplyType(ImplyType::TVM);
}
