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318d5bba
编写于
10月 09, 2019
作者:
G
GaoWei8
提交者:
Tao Luo
10月 09, 2019
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电子邮件补丁
差异文件
add input type and dtype check for elu_op (#20106)
* elu input check test=develop * test=develop
上级
98acfe97
变更
2
隐藏空白更改
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2 changed file
with
25 addition
and
0 deletion
+25
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+11
-0
python/paddle/fluid/tests/unittests/test_activation_op.py
python/paddle/fluid/tests/unittests/test_activation_op.py
+14
-0
未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
318d5bba
...
...
@@ -10883,6 +10883,17 @@ def elu(x, alpha=1.0, name=None):
y = fluid.layers.elu(x, alpha=0.2)
"""
helper = LayerHelper('elu', **locals())
if not isinstance(x, Variable):
raise TypeError(
"The type of 'x' in elu must be Variable, but received %s" %
(type(x)))
if convert_dtype(x.dtype) in ['float16']:
warnings.warn(
"The data type of 'x' in elu only support float16 in GPU now.")
if convert_dtype(x.dtype) not in ['float16', 'float32', 'float64']:
raise TypeError(
"The data type of 'x' in elu must be float16 (only support on GPU), float32 or float64, but received %s."
% (convert_dtype(x.dtype)))
out = helper.create_variable_for_type_inference(dtype=x.dtype)
helper.append_op(
type='elu',
...
...
python/paddle/fluid/tests/unittests/test_activation_op.py
浏览文件 @
318d5bba
...
...
@@ -19,6 +19,8 @@ import numpy as np
import
paddle.fluid.core
as
core
from
op_test
import
OpTest
from
scipy.special
import
expit
,
erf
import
paddle.fluid
as
fluid
from
paddle.fluid
import
compiler
,
Program
,
program_guard
class
TestActivation
(
OpTest
):
...
...
@@ -519,6 +521,18 @@ class TestELU(TestActivation):
self
.
check_grad
([
'X'
],
'Out'
,
max_relative_error
=
0.02
)
class
TestELUOpError
(
OpTest
):
def
test_errors
(
self
):
with
program_guard
(
Program
(),
Program
()):
# The input type of elu_op must be Variable.
x1
=
fluid
.
create_lod_tensor
(
np
.
array
([[
-
1
]]),
[[
1
]],
fluid
.
CPUPlace
())
self
.
assertRaises
(
TypeError
,
fluid
.
layers
.
elu
,
x1
)
# The input dtype of elu_op must be float16 float32 or float64.
x2
=
fluid
.
layers
.
data
(
name
=
'x2'
,
shape
=
[
4
],
dtype
=
"int32"
)
self
.
assertRaises
(
TypeError
,
fluid
.
layers
.
elu
,
x2
)
class
TestReciprocal
(
TestActivation
):
def
setUp
(
self
):
self
.
op_type
=
"reciprocal"
...
...
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