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be7fcc0b
编写于
2月 07, 2018
作者:
H
helinwang
提交者:
Abhinav Arora
2月 07, 2018
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差异文件
long running training tests: fail when got NaN loss (#8169)
上级
8e5bc804
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
25 addition
and
0 deletion
+25
-0
python/paddle/v2/fluid/tests/book/test_fit_a_line.py
python/paddle/v2/fluid/tests/book/test_fit_a_line.py
+4
-0
python/paddle/v2/fluid/tests/book/test_image_classification_train.py
...le/v2/fluid/tests/book/test_image_classification_train.py
+4
-0
python/paddle/v2/fluid/tests/book/test_recognize_digits.py
python/paddle/v2/fluid/tests/book/test_recognize_digits.py
+4
-0
python/paddle/v2/fluid/tests/book/test_recommender_system.py
python/paddle/v2/fluid/tests/book/test_recommender_system.py
+4
-0
python/paddle/v2/fluid/tests/book/test_understand_sentiment.py
...n/paddle/v2/fluid/tests/book/test_understand_sentiment.py
+4
-0
python/paddle/v2/fluid/tests/book/test_word2vec.py
python/paddle/v2/fluid/tests/book/test_word2vec.py
+5
-0
未找到文件。
python/paddle/v2/fluid/tests/book/test_fit_a_line.py
浏览文件 @
be7fcc0b
...
...
@@ -16,6 +16,8 @@ import paddle.v2 as paddle
import
paddle.v2.fluid
as
fluid
import
contextlib
import
unittest
import
math
import
sys
def
main
(
use_cuda
):
...
...
@@ -58,6 +60,8 @@ def main(use_cuda):
print
(
avg_loss_value
)
if
avg_loss_value
[
0
]
<
10.0
:
return
if
math
.
isnan
(
float
(
avg_loss_value
)):
sys
.
exit
(
"got NaN loss, training failed."
)
raise
AssertionError
(
"Fit a line cost is too large, {0:2.2}"
.
format
(
avg_loss_value
[
0
]))
...
...
python/paddle/v2/fluid/tests/book/test_image_classification_train.py
浏览文件 @
be7fcc0b
...
...
@@ -17,6 +17,8 @@ from __future__ import print_function
import
paddle.v2
as
paddle
import
paddle.v2.fluid
as
fluid
import
contextlib
import
math
import
sys
import
numpy
import
unittest
...
...
@@ -145,6 +147,8 @@ def train(net_type, use_cuda, save_dirname):
loss_t
,
acc_t
=
exe
.
run
(
program
=
test_program
,
feed
=
feeder
.
feed
(
test_data
),
fetch_list
=
[
avg_cost
,
acc
])
if
math
.
isnan
(
float
(
loss_t
)):
sys
.
exit
(
"got NaN loss, training failed."
)
acc_list
.
append
(
float
(
acc_t
))
avg_loss_list
.
append
(
float
(
loss_t
))
break
# Use 1 segment for speeding up CI
...
...
python/paddle/v2/fluid/tests/book/test_recognize_digits.py
浏览文件 @
be7fcc0b
...
...
@@ -18,6 +18,8 @@ import paddle.v2 as paddle
import
sys
import
numpy
import
unittest
import
math
import
sys
def
parse_arg
():
...
...
@@ -148,6 +150,8 @@ def train(nn_type, use_cuda, parallel, save_dirname):
'PassID {0:1}, BatchID {1:04}, Test Loss {2:2.2}, Acc {3:2.2}'
.
format
(
pass_id
,
batch_id
+
1
,
float
(
avg_loss_val
),
float
(
acc_val
)))
if
math
.
isnan
(
float
(
avg_loss_val
)):
sys
.
exit
(
"got NaN loss, training failed."
)
raise
AssertionError
(
"Loss of recognize digits is too large"
)
...
...
python/paddle/v2/fluid/tests/book/test_recommender_system.py
浏览文件 @
be7fcc0b
...
...
@@ -12,6 +12,8 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import
math
import
sys
import
numpy
as
np
import
paddle.v2
as
paddle
import
paddle.v2.fluid.core
as
core
...
...
@@ -217,6 +219,8 @@ def main():
if
out
[
0
]
<
6.0
:
# if avg cost less than 6.0, we think our code is good.
exit
(
0
)
if
math
.
isnan
(
float
(
out
[
0
])):
sys
.
exit
(
"got NaN loss, training failed."
)
main
()
python/paddle/v2/fluid/tests/book/test_understand_sentiment.py
浏览文件 @
be7fcc0b
...
...
@@ -16,6 +16,8 @@ import unittest
import
paddle.v2.fluid
as
fluid
import
paddle.v2
as
paddle
import
contextlib
import
math
import
sys
def
convolution_net
(
data
,
label
,
input_dim
,
class_dim
=
2
,
emb_dim
=
32
,
...
...
@@ -115,6 +117,8 @@ def main(word_dict, net_method, use_cuda):
print
(
"cost="
+
str
(
cost_val
)
+
" acc="
+
str
(
acc_val
))
if
cost_val
<
0.4
and
acc_val
>
0.8
:
return
if
math
.
isnan
(
float
(
cost_val
)):
sys
.
exit
(
"got NaN loss, training failed."
)
raise
AssertionError
(
"Cost is too large for {0}"
.
format
(
net_method
.
__name__
))
...
...
python/paddle/v2/fluid/tests/book/test_word2vec.py
浏览文件 @
be7fcc0b
...
...
@@ -16,6 +16,8 @@ import paddle.v2 as paddle
import
paddle.v2.fluid
as
fluid
import
unittest
import
os
import
math
import
sys
def
main
(
use_cuda
,
is_sparse
,
parallel
):
...
...
@@ -112,6 +114,9 @@ def main(use_cuda, is_sparse, parallel):
fetch_list
=
[
avg_cost
])
if
avg_cost_np
[
0
]
<
5.0
:
return
if
math
.
isnan
(
float
(
avg_cost_np
[
0
])):
sys
.
exit
(
"got NaN loss, training failed."
)
raise
AssertionError
(
"Cost is too large {0:2.2}"
.
format
(
avg_cost_np
[
0
]))
...
...
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