forked from PaddlePaddle/Paddle
/
api_gen_utils.cc
185 lines (156 loc) · 5.79 KB
/
api_gen_utils.cc
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/phi/api/lib/api_gen_utils.h"
namespace paddle {
namespace experimental {
/* ------------------ for input ----------------------- */
std::shared_ptr<phi::DenseTensor> TensorToDenseTensor(const Tensor& tensor) {
return std::static_pointer_cast<phi::DenseTensor>(tensor.impl());
}
std::shared_ptr<phi::DenseTensor> TensorToDenseTensor(
const paddle::optional<const Tensor&>& tensor) {
if (tensor) {
return std::static_pointer_cast<phi::DenseTensor>(tensor->impl());
}
return nullptr;
}
std::unique_ptr<std::vector<phi::DenseTensor>> TensorToDenseTensor(
const std::vector<Tensor>& tensors) {
auto pt_tensors = std::make_unique<std::vector<phi::DenseTensor>>();
pt_tensors->reserve(tensors.size());
for (const auto& t : tensors) {
pt_tensors->push_back(
*std::dynamic_pointer_cast<phi::DenseTensor>(t.impl()));
}
return std::move(pt_tensors);
}
std::shared_ptr<phi::SelectedRows> TensorToSelectedRows(const Tensor& tensor) {
return std::static_pointer_cast<phi::SelectedRows>(tensor.impl());
}
std::shared_ptr<phi::SelectedRows> TensorToSelectedRows(
const paddle::optional<const Tensor&>& tensor) {
if (tensor) {
return std::static_pointer_cast<phi::SelectedRows>(tensor->impl());
}
return nullptr;
}
std::shared_ptr<phi::StringTensor> TensorToStringTensor(const Tensor& tensor) {
return std::dynamic_pointer_cast<phi::StringTensor>(tensor.impl());
}
/* ----------------- for infer_meta --------------------- */
phi::MetaTensor MakeMetaTensor(const phi::DenseTensor& tensor) {
return phi::MetaTensor(tensor);
}
paddle::optional<phi::MetaTensor> MakeMetaTensor(
const paddle::optional<const phi::DenseTensor&>& tensor) {
if (tensor) {
return {phi::MetaTensor(*tensor)};
}
return {paddle::none};
}
std::vector<phi::MetaTensor> MakeMetaTensor(
const std::vector<const phi::DenseTensor*>& tensors) {
std::vector<phi::MetaTensor> meta_tensors;
meta_tensors.reserve(tensors.size());
for (const auto* t : tensors) {
meta_tensors.emplace_back(*t);
}
return meta_tensors;
}
std::vector<phi::MetaTensor> MakeMetaTensor(
const std::vector<phi::DenseTensor*>& tensors) {
std::vector<phi::MetaTensor> meta_tensors;
meta_tensors.reserve(tensors.size());
for (auto* t : tensors) {
meta_tensors.emplace_back(*t);
}
return meta_tensors;
}
phi::MetaTensor MakeMetaTensor(const phi::SelectedRows& tensor) {
return phi::MetaTensor(tensor);
}
paddle::optional<phi::MetaTensor> MakeMetaTensor(
const paddle::optional<const phi::SelectedRows&>& tensor) {
if (tensor) {
return {phi::MetaTensor(*tensor)};
}
return {paddle::none};
}
phi::MetaTensor MakeMetaTensor(const phi::StringTensor& tensor) {
return phi::MetaTensor(tensor);
}
/* ------------------ for output ----------------------- */
phi::DenseTensor* SetKernelOutput(Backend backend, Tensor* out) {
if (out->impl() == nullptr) {
out->set_impl(std::make_shared<phi::DenseTensor>());
}
return static_cast<phi::DenseTensor*>(out->impl().get());
}
std::vector<phi::DenseTensor*> SetKernelOutput(size_t out_size,
Backend backend,
std::vector<Tensor>* out) {
out->reserve(out_size);
std::vector<phi::DenseTensor*> results(out_size);
for (size_t i = 0; i < out_size; ++i) {
auto tensor_ptr = std::make_shared<phi::DenseTensor>();
results[i] = tensor_ptr.get();
out->emplace_back();
out->back().set_impl(tensor_ptr);
}
return results;
}
phi::SelectedRows* SetSelectedRowsKernelOutput(Backend backend, Tensor* out) {
if (!out->initialized()) {
auto select_rows = std::make_shared<phi::SelectedRows>();
out->set_impl(select_rows);
return select_rows.get();
}
return static_cast<phi::SelectedRows*>(out->impl().get());
}
phi::TensorBase* SetSparseKernelOutput(Tensor* out, TensorType type) {
if (!out->initialized()) {
if (type == TensorType::SPARSE_COO) {
auto sparse_tensor = std::make_shared<phi::SparseCooTensor>(
phi::DenseTensor(), phi::DenseTensor(), phi::DDim{-1});
out->set_impl(sparse_tensor);
return sparse_tensor.get();
} else if (type == TensorType::SPARSE_CSR) {
auto sparse_tensor =
std::make_shared<phi::SparseCsrTensor>(phi::DenseTensor(),
phi::DenseTensor(),
phi::DenseTensor(),
phi::DDim{-1, -1});
out->set_impl(sparse_tensor);
return sparse_tensor.get();
} else {
auto dense_tensor = std::make_shared<phi::DenseTensor>();
out->set_impl(dense_tensor);
return dense_tensor.get();
}
}
return out->impl().get();
}
phi::TensorBase* SetStringsKernelOutput(Backend backend,
Tensor* out,
TensorType type) {
if (!out->initialized()) {
if (type == TensorType::STRING_TENSOR) {
if (out->impl() == nullptr) {
auto strings_tensor = std::make_shared<phi::StringTensor>();
out->set_impl(strings_tensor);
}
return out->impl().get();
}
}
return out->impl().get();
}
} // namespace experimental
} // namespace paddle