* 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 onnx_common.h
* \brief
*/
#ifndef MATH_COMMON_ONNX_COMMON_H
#define MATH_COMMON_ONNX_COMMON_H
#include <map>
#include <cerrno>
#include <cstdlib>
#include <string>
#include <vector>
#include "stub_ops.h"
#include "register/register.h"
#include "graph/operator.h"
#include "graph/graph.h"
#include "base/err_msg.h"
#include "log/log.h"
#include "onnx/proto/ge_onnx.pb.h"
namespace domi {
inline bool StrToFloat(const std::string& str, float& value)
{
if (str.empty()) {
return false;
}
errno = 0;
char* end_ptr = nullptr;
const float parsed = std::strtof(str.c_str(), &end_ptr);
if (end_ptr == str.c_str() || *end_ptr != '\0' || errno == ERANGE) {
return false;
}
value = parsed;
return true;
}
template <typename T>
inline std::string GetOpName(const T& op)
{
ge::AscendString op_ascend_name;
ge::graphStatus ret = op.GetName(op_ascend_name);
if (ret != ge::GRAPH_SUCCESS) {
std::string op_name = "None";
return op_name;
}
return op_ascend_name.GetString();
}
template <typename T>
inline ge::Tensor Vec2Tensor(vector<T>& vals, const vector<int64_t>& dims, ge::DataType dtype,
ge::Format format = ge::FORMAT_ND)
{
ge::Shape shape(dims);
ge::TensorDesc desc(shape, format, dtype);
ge::Tensor tensor(desc, reinterpret_cast<uint8_t*>(vals.data()), vals.size() * sizeof(T));
return tensor;
}
template <typename T>
inline ge::Tensor CreateScalar(T val, ge::DataType dtype, ge::Format format = ge::FORMAT_ND)
{
vector<int64_t> dims_scalar = {};
ge::Shape shape(dims_scalar);
ge::TensorDesc desc(shape, format, dtype);
ge::Tensor tensor(desc, reinterpret_cast<uint8_t*>(&val), sizeof(T));
return tensor;
}
inline Status ChangeFormatFromOnnx(ge::Operator& op, const int idx, ge::Format format, bool is_input)
{
if (is_input) {
ge::TensorDesc org_tensor = op.GetInputDesc(idx);
org_tensor.SetOriginFormat(format);
org_tensor.SetFormat(format);
auto ret = op.UpdateInputDesc(idx, org_tensor);
if (ret != ge::GRAPH_SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "change input format failed.");
return FAILED;
}
} else {
ge::TensorDesc org_tensor_y = op.GetOutputDesc(idx);
org_tensor_y.SetOriginFormat(format);
org_tensor_y.SetFormat(format);
auto ret_y = op.UpdateOutputDesc(idx, org_tensor_y);
if (ret_y != ge::GRAPH_SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "change output format failed.");
return FAILED;
}
}
return SUCCESS;
}
}
#endif
