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体验新版 GitCode,发现更多精彩内容 >>
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7c370e42
编写于
4月 22, 2019
作者:
C
chengduo
提交者:
GitHub
4月 22, 2019
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差异文件
Fix test_recurrent_op (#17001)
* fix ramdom fail test=develop
上级
73a360b5
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
19 addition
and
12 deletion
+19
-12
python/paddle/fluid/tests/unittests/test_recurrent_op.py
python/paddle/fluid/tests/unittests/test_recurrent_op.py
+8
-2
python/paddle/fluid/tests/unittests/test_weight_decay.py
python/paddle/fluid/tests/unittests/test_weight_decay.py
+11
-10
未找到文件。
python/paddle/fluid/tests/unittests/test_recurrent_op.py
浏览文件 @
7c370e42
...
@@ -182,7 +182,7 @@ class RecurrentOpTest1(unittest.TestCase):
...
@@ -182,7 +182,7 @@ class RecurrentOpTest1(unittest.TestCase):
fetch_list
=
fetch_list
,
fetch_list
=
fetch_list
,
return_numpy
=
False
)
return_numpy
=
False
)
def
test_backward
(
self
):
def
test_backward
(
self
,
rtol
=
0.1
):
self
.
check_forward
()
self
.
check_forward
()
with
fluid
.
program_guard
(
self
.
main_program
,
self
.
startup_program
):
with
fluid
.
program_guard
(
self
.
main_program
,
self
.
startup_program
):
...
@@ -195,7 +195,10 @@ class RecurrentOpTest1(unittest.TestCase):
...
@@ -195,7 +195,10 @@ class RecurrentOpTest1(unittest.TestCase):
self
.
assertEqual
(
num_grad
[
idx
].
shape
,
ana_grad
[
idx
].
shape
)
self
.
assertEqual
(
num_grad
[
idx
].
shape
,
ana_grad
[
idx
].
shape
)
self
.
assertTrue
(
self
.
assertTrue
(
np
.
isclose
(
np
.
isclose
(
num_grad
[
idx
],
ana_grad
[
idx
],
rtol
=
0.1
).
all
())
num_grad
[
idx
],
ana_grad
[
idx
],
rtol
=
rtol
).
all
(),
"num_grad ("
+
name
+
") has diff at "
+
str
(
self
.
place
)
+
"
\n
Expect "
+
str
(
num_grad
[
idx
])
+
"
\n
"
+
"But Got"
+
str
(
ana_grad
[
idx
])
+
" in class "
+
self
.
__class__
.
__name__
)
def
check_forward
(
self
):
def
check_forward
(
self
):
pd_output
=
self
.
forward
()
pd_output
=
self
.
forward
()
...
@@ -287,6 +290,9 @@ class RecurrentOpTest2(RecurrentOpTest1):
...
@@ -287,6 +290,9 @@ class RecurrentOpTest2(RecurrentOpTest1):
return
rnn
()
return
rnn
()
def
test_backward
(
self
):
super
(
RecurrentOpTest2
,
self
).
test_backward
(
rtol
=
0.2
)
class
RecurrentOpMultipleMemoryTest
(
RecurrentOpTest1
):
class
RecurrentOpMultipleMemoryTest
(
RecurrentOpTest1
):
'''
'''
...
...
python/paddle/fluid/tests/unittests/test_weight_decay.py
浏览文件 @
7c370e42
...
@@ -95,7 +95,6 @@ class TestWeightDecay(unittest.TestCase):
...
@@ -95,7 +95,6 @@ class TestWeightDecay(unittest.TestCase):
place
,
place
,
feed_list
,
feed_list
,
loss
,
loss
,
use_cuda
=
True
,
use_reduce
=
False
,
use_reduce
=
False
,
use_fast_executor
=
False
,
use_fast_executor
=
False
,
use_ir_memory_optimize
=
False
):
use_ir_memory_optimize
=
False
):
...
@@ -136,11 +135,9 @@ class TestWeightDecay(unittest.TestCase):
...
@@ -136,11 +135,9 @@ class TestWeightDecay(unittest.TestCase):
startup_prog
=
fluid
.
framework
.
Program
()
startup_prog
=
fluid
.
framework
.
Program
()
startup_prog
.
random_seed
=
1
startup_prog
.
random_seed
=
1
with
prog_scope_guard
(
main_prog
=
main_prog
,
startup_prog
=
startup_prog
):
with
prog_scope_guard
(
main_prog
=
main_prog
,
startup_prog
=
startup_prog
):
data
=
fluid
.
layers
.
data
(
data
=
fluid
.
layers
.
data
(
name
=
"words"
,
shape
=
[
1
],
dtype
=
"int64"
,
lod_level
=
1
)
name
=
"words"
,
shape
=
[
1
],
dtype
=
"int64"
,
lod_level
=
1
)
label
=
fluid
.
layers
.
data
(
name
=
"label"
,
shape
=
[
1
],
dtype
=
"int64"
)
label
=
fluid
.
layers
.
data
(
name
=
"label"
,
shape
=
[
1
],
dtype
=
"int64"
)
avg_cost
=
model
(
data
,
label
,
len
(
self
.
word_dict
))
avg_cost
=
model
(
data
,
label
,
len
(
self
.
word_dict
))
param_list
=
[(
var
,
var
*
self
.
learning_rate
)
param_list
=
[(
var
,
var
*
self
.
learning_rate
)
...
@@ -148,7 +145,6 @@ class TestWeightDecay(unittest.TestCase):
...
@@ -148,7 +145,6 @@ class TestWeightDecay(unittest.TestCase):
optimizer
=
fluid
.
optimizer
.
Adagrad
(
optimizer
=
fluid
.
optimizer
.
Adagrad
(
learning_rate
=
self
.
learning_rate
)
learning_rate
=
self
.
learning_rate
)
optimizer
.
minimize
(
avg_cost
)
optimizer
.
minimize
(
avg_cost
)
for
params
in
param_list
:
for
params
in
param_list
:
...
@@ -158,10 +154,7 @@ class TestWeightDecay(unittest.TestCase):
...
@@ -158,10 +154,7 @@ class TestWeightDecay(unittest.TestCase):
if
use_parallel_exe
:
if
use_parallel_exe
:
loss
=
self
.
run_parallel_exe
(
loss
=
self
.
run_parallel_exe
(
place
,
[
data
,
label
],
place
,
[
data
,
label
],
loss
=
avg_cost
,
use_reduce
=
use_reduce
)
loss
=
avg_cost
,
use_cuda
=
True
,
use_reduce
=
use_reduce
)
else
:
else
:
loss
=
self
.
run_executor
(
place
,
[
data
,
label
],
loss
=
avg_cost
)
loss
=
self
.
run_executor
(
place
,
[
data
,
label
],
loss
=
avg_cost
)
...
@@ -176,13 +169,21 @@ class TestWeightDecay(unittest.TestCase):
...
@@ -176,13 +169,21 @@ class TestWeightDecay(unittest.TestCase):
place
,
model
,
use_parallel_exe
=
True
,
use_reduce
=
False
)
place
,
model
,
use_parallel_exe
=
True
,
use_reduce
=
False
)
for
i
in
range
(
len
(
loss
)):
for
i
in
range
(
len
(
loss
)):
assert
np
.
isclose
(
a
=
loss
[
i
],
b
=
loss2
[
i
],
rtol
=
5e-5
)
self
.
assertTrue
(
np
.
isclose
(
a
=
loss
[
i
],
b
=
loss2
[
i
],
rtol
=
5e-5
),
"Expect "
+
str
(
loss
[
i
])
+
"
\n
"
+
"But Got"
+
str
(
loss2
[
i
])
+
" in class "
+
self
.
__class__
.
__name__
)
loss3
=
self
.
check_weight_decay
(
loss3
=
self
.
check_weight_decay
(
place
,
model
,
use_parallel_exe
=
True
,
use_reduce
=
True
)
place
,
model
,
use_parallel_exe
=
True
,
use_reduce
=
True
)
for
i
in
range
(
len
(
loss
)):
for
i
in
range
(
len
(
loss
)):
assert
np
.
isclose
(
a
=
loss
[
i
],
b
=
loss3
[
i
],
rtol
=
5e-5
)
self
.
assertTrue
(
np
.
isclose
(
a
=
loss
[
i
],
b
=
loss3
[
i
],
rtol
=
5e-5
),
"Expect "
+
str
(
loss
[
i
])
+
"
\n
"
+
"But Got"
+
str
(
loss2
[
i
])
+
" in class "
+
self
.
__class__
.
__name__
)
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
...
...
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