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set_default_dtype only support float (PaddlePaddle#26435)
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ForFishes authored Aug 20, 2020
1 parent 9108282 commit 256dc6e
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Showing 2 changed files with 49 additions and 5 deletions.
24 changes: 22 additions & 2 deletions python/paddle/fluid/tests/unittests/test_default_dtype.py
Original file line number Diff line number Diff line change
Expand Up @@ -33,8 +33,28 @@ def test_api(self):
set_default_dtype("float64")
self.assertEqual("float64", get_default_dtype())

set_default_dtype(np.int32)
self.assertEqual("int32", get_default_dtype())
set_default_dtype("float32")
self.assertEqual("float32", get_default_dtype())

set_default_dtype("float16")
self.assertEqual("float16", get_default_dtype())

set_default_dtype(np.float64)
self.assertEqual("float64", get_default_dtype())

set_default_dtype(np.float32)
self.assertEqual("float32", get_default_dtype())

set_default_dtype(np.float16)
self.assertEqual("float16", get_default_dtype())


class TestRaiseError(unittest.TestCase):
def test_error(self):
self.assertRaises(TypeError, set_default_dtype, "int32")
self.assertRaises(TypeError, set_default_dtype, np.int32)
self.assertRaises(TypeError, set_default_dtype, "int64")
self.assertRaises(TypeError, set_default_dtype, np.int64)


if __name__ == '__main__':
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30 changes: 27 additions & 3 deletions python/paddle/framework/framework.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
# TODO: define framework api
from paddle.fluid.layer_helper_base import LayerHelperBase
from paddle.fluid.data_feeder import convert_dtype
import numpy as np

__all__ = ['set_default_dtype', 'get_default_dtype']

Expand All @@ -24,7 +25,8 @@ 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
d(string|np.dtype): the dtype to make the default. It only
supports float16, float32 and float64.
Returns:
None.
Expand All @@ -36,13 +38,35 @@ def set_default_dtype(d):
paddle.set_default_dtype("float32")
"""
d = convert_dtype(d)
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
Get the current default dtype. The default dtype is initially float32.
Args:
None.
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