1 /**
2 * Copyright 2021 Huawei Technologies Co., Ltd
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "common/fetch_content.h"
18 #include <string>
19 #include <vector>
20 #include "common/anf_util.h"
21 #include "common/check_base.h"
22 #include "third_party/securec/include/securec.h"
23
24 namespace mindspore {
25 namespace dpico {
26 namespace {
27 constexpr size_t kTensorListMinSize = 3 * sizeof(int32_t);
28 } // namespace
29
FetchFromDefaultParam(const api::ParameterPtr & param_node,DataInfo * data_info)30 int FetchFromDefaultParam(const api::ParameterPtr ¶m_node, DataInfo *data_info) {
31 MS_ASSERT(param_node != nullptr && data_info != nullptr);
32 ShapeVector shape_vector;
33 TypeId data_type;
34 auto status = GetDataTypeAndShape(param_node, &data_type, &shape_vector);
35 if (status != RET_OK) {
36 MS_LOG(ERROR) << "get data type and shape from param node failed.";
37 return RET_ERROR;
38 }
39 data_info->data_type_ = data_type;
40 auto tensor_info = param_node->default_param()->cast<api::TensorPtr>();
41 size_t offset = 0;
42 if (!shape_vector.empty() && data_type == kObjectTypeString) {
43 status = GetShapeVectorFromStringTensor(tensor_info, &shape_vector, &offset);
44 if (status != RET_OK) {
45 MS_LOG(ERROR) << "get shape vector from string tensor failed.";
46 return RET_ERROR;
47 }
48 }
49 std::vector<int32_t> dims(shape_vector.begin(), shape_vector.end());
50 data_info->shape_ = dims;
51 if (tensor_info != nullptr && tensor_info->Size() != 0) {
52 if (data_type != kObjectTypeTensorType || tensor_info->Size() >= kTensorListMinSize) {
53 if (tensor_info->Size() < offset) {
54 MS_LOG(ERROR) << "tensor_info elem size should be greater than offset.";
55 return RET_ERROR;
56 }
57 data_info->data_.resize(tensor_info->Size() - offset);
58 if (EOK != memcpy_s(data_info->data_.data(), data_info->data_.size(),
59 static_cast<uint8_t *>(tensor_info->data()) + offset, tensor_info->Size() - offset)) {
60 MS_LOG(ERROR) << "memcpy_s failed.";
61 return RET_ERROR;
62 }
63 }
64 }
65
66 return RET_OK;
67 }
68
FetchDataFromParameterNode(const api::CNodePtr & cnode,size_t index,DataInfo * data_info)69 int FetchDataFromParameterNode(const api::CNodePtr &cnode, size_t index, DataInfo *data_info) {
70 MS_ASSERT(cnode != nullptr && data_info != nullptr);
71 if (index >= cnode->size()) {
72 MS_LOG(ERROR) << "input index: " << index << " is greater than cnode inputs size " << cnode->size();
73 return RET_ERROR;
74 }
75 auto param_node = cnode->input(index)->cast<api::ParameterPtr>();
76 if (param_node == nullptr) {
77 MS_LOG(ERROR) << "input node is not parameter node.";
78 return RET_ERROR;
79 }
80
81 if (FetchFromDefaultParam(param_node, data_info) != RET_OK) {
82 MS_LOG(ERROR) << "fetch information from default param failed.";
83 return RET_ERROR;
84 }
85
86 return RET_OK;
87 }
88
GetDataSizeFromTensor(DataInfo * data_info,int * data_size)89 int GetDataSizeFromTensor(DataInfo *data_info, int *data_size) {
90 if (data_info == nullptr) {
91 MS_LOG(ERROR) << "data info is nullptr. ";
92 return RET_ERROR;
93 }
94 if (data_size == nullptr) {
95 MS_LOG(ERROR) << "elem size is nullptr";
96 return RET_ERROR;
97 }
98 *data_size = 1;
99 for (size_t i = 0; i < data_info->shape_.size(); i++) {
100 if (INT_MUL_OVERFLOW(*data_size, data_info->shape_.at(i))) {
101 MS_LOG(ERROR) << "int mul overflow.";
102 return RET_ERROR;
103 }
104 *data_size *= data_info->shape_.at(i);
105 }
106 return RET_OK;
107 }
108 } // namespace dpico
109 } // namespace mindspore
110