forked from jiaoxuewu/PaddleBox
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathframework.py
More file actions
143 lines (114 loc) · 4.08 KB
/
framework.py
File metadata and controls
143 lines (114 loc) · 4.08 KB
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
# Copyright (c) 2020 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.
# TODO: define framework api
from paddle.fluid.layer_helper_base import LayerHelperBase
from paddle.fluid.data_feeder import convert_dtype
from paddle.fluid.framework import _dygraph_tracer
import numpy as np
from contextlib import contextmanager
__all__ = []
def set_default_dtype(d):
"""
Set default dtype. The default dtype is initially float32.
Args:
d(string|np.dtype): the dtype to make the default. It only
supports float16, float32 and float64.
Returns:
None.
Examples:
.. code-block:: python
import paddle
paddle.set_default_dtype("float32")
"""
if isinstance(d, type):
if d in [np.float16, np.float32, np.float64]:
d = d.__name__
else:
raise TypeError(
"set_default_dtype only supports [float16, float32, float64] "
", but received %s" % d.__name__)
else:
if d in [
'float16', 'float32', 'float64', u'float16', u'float32',
u'float64'
]:
# this code is a little bit dangerous, since error could happen
# when casting no-ascii code to str in python2.
# but since the set itself is limited, so currently, it is good.
# however, jointly supporting python2 and python3, (as well as python4 maybe)
# may still be a long-lasting problem.
d = str(d)
else:
raise TypeError(
"set_default_dtype only supports [float16, float32, float64] "
", but received %s" % str(d))
LayerHelperBase.set_default_dtype(d)
def get_default_dtype():
"""
Get the current default dtype. The default dtype is initially float32.
Args:
None.
Returns:
The default dtype.
Examples:
.. code-block:: python
import paddle
paddle.get_default_dtype()
"""
return LayerHelperBase.get_default_dtype()
@contextmanager
def set_grad_enabled(mode):
"""
Create a context which enables or disables dygraph gradient calculation.
Args:
mode(bool): whether to enable (`True`), or disable (`False`) grad.
Examples:
.. code-block:: python
import paddle
x = paddle.ones([3, 2])
x.stop_gradient = False
with paddle.set_grad_enabled(False):
y = x * 2
with paddle.set_grad_enabled(True):
z = x * 2
print(y.stop_gradient) # True
print(z.stop_gradient) # False
"""
tracer = _dygraph_tracer()
if tracer:
prev_mode = tracer._has_grad
tracer._has_grad = mode
try:
yield
finally:
tracer._has_grad = prev_mode
else:
yield
def is_grad_enabled():
"""
Returns whether current dygraph gradient calculation mode is enabled.
Returns:
bool: True if current dygraph gradient calculation mode is enabled, otherwise false.
Examples:
.. code-block:: python
import paddle
# Dygraph gradient calculation mode is enabled by default.
paddle.is_grad_enabled() # True
with paddle.set_grad_enabled(False):
paddle.is_grad_enabled() # False
paddle.enable_static()
paddle.is_grad_enabled() # False
"""
tracer = _dygraph_tracer()
return tracer._has_grad if tracer else False