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dd04b160
编写于
9月 25, 2020
作者:
C
Chen Weihang
提交者:
GitHub
9月 25, 2020
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差异文件
fix test imperative se resnext failed (#27538)
上级
e550fc02
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
20 addition
and
5 deletion
+20
-5
python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py
...addle/fluid/tests/unittests/test_imperative_se_resnext.py
+20
-5
未找到文件。
python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py
浏览文件 @
dd04b160
...
...
@@ -25,6 +25,9 @@ from paddle.fluid.dygraph.nn import Conv2D, Pool2D, BatchNorm, Linear
from
paddle.fluid.dygraph.base
import
to_variable
from
test_imperative_base
import
new_program_scope
if
fluid
.
is_compiled_with_cuda
():
fluid
.
set_flags
({
'FLAGS_cudnn_deterministic'
:
True
})
batch_size
=
8
train_parameters
=
{
"input_size"
:
[
3
,
224
,
224
],
...
...
@@ -340,7 +343,9 @@ class TestImperativeResneXt(unittest.TestCase):
label
.
stop_gradient
=
True
out
=
se_resnext
(
img
)
loss
=
fluid
.
layers
.
cross_entropy
(
input
=
out
,
label
=
label
)
softmax_out
=
fluid
.
layers
.
softmax
(
out
,
use_cudnn
=
False
)
loss
=
fluid
.
layers
.
cross_entropy
(
input
=
softmax_out
,
label
=
label
)
avg_loss
=
fluid
.
layers
.
mean
(
x
=
loss
)
dy_out
=
avg_loss
.
numpy
()
...
...
@@ -386,7 +391,8 @@ class TestImperativeResneXt(unittest.TestCase):
name
=
'pixel'
,
shape
=
[
3
,
224
,
224
],
dtype
=
'float32'
)
label
=
fluid
.
layers
.
data
(
name
=
'label'
,
shape
=
[
1
],
dtype
=
'int64'
)
out
=
se_resnext
(
img
)
loss
=
fluid
.
layers
.
cross_entropy
(
input
=
out
,
label
=
label
)
softmax_out
=
fluid
.
layers
.
softmax
(
out
,
use_cudnn
=
False
)
loss
=
fluid
.
layers
.
cross_entropy
(
input
=
softmax_out
,
label
=
label
)
avg_loss
=
fluid
.
layers
.
mean
(
x
=
loss
)
optimizer
.
minimize
(
avg_loss
)
...
...
@@ -443,7 +449,9 @@ class TestImperativeResneXt(unittest.TestCase):
static_grad_value
[
static_grad_name_list
[
i
-
grad_start_pos
]]
=
out
[
i
]
self
.
assertTrue
(
np
.
allclose
(
static_out
,
dy_out
))
self
.
assertTrue
(
np
.
allclose
(
static_out
,
dy_out
),
"
\n
static_out: {}
\n
dy_out: {}"
.
format
(
static_out
,
dy_out
))
self
.
assertEqual
(
len
(
dy_param_init_value
),
len
(
static_param_init_value
))
...
...
@@ -455,16 +463,23 @@ class TestImperativeResneXt(unittest.TestCase):
self
.
assertEqual
(
len
(
dy_grad_value
),
len
(
static_grad_value
))
for
key
,
value
in
six
.
iteritems
(
static_grad_value
):
self
.
assertTrue
(
np
.
allclose
(
value
,
dy_grad_value
[
key
]))
self
.
assertTrue
(
np
.
allclose
(
value
,
dy_grad_value
[
key
]),
"
\n
static_grad_value: {}
\n
dy_grad_value: {}"
.
format
(
value
,
dy_grad_value
[
key
]))
self
.
assertTrue
(
np
.
isfinite
(
value
.
all
()))
self
.
assertFalse
(
np
.
isnan
(
value
.
any
()))
self
.
assertEqual
(
len
(
dy_param_value
),
len
(
static_param_value
))
for
key
,
value
in
six
.
iteritems
(
static_param_value
):
self
.
assertTrue
(
np
.
allclose
(
value
,
dy_param_value
[
key
]))
self
.
assertTrue
(
np
.
allclose
(
value
,
dy_param_value
[
key
]),
"
\n
static_param_value: {}
\n
dy_param_value: {}"
.
format
(
value
,
dy_param_value
[
key
]))
self
.
assertTrue
(
np
.
isfinite
(
value
.
all
()))
self
.
assertFalse
(
np
.
isnan
(
value
.
any
()))
if
__name__
==
'__main__'
:
paddle
.
enable_static
()
unittest
.
main
()
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