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96a0ce60
编写于
1月 31, 2023
作者:
张
张春乔
提交者:
GitHub
1月 31, 2023
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差异文件
fix div 0 error of NoamDecay (#49953)
* fix div 0 error of NoamDecay * add unittest * Update lr.py
上级
7aaaa1c6
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
37 addition
and
0 deletion
+37
-0
python/paddle/fluid/tests/unittests/test_noamdecay_op.py
python/paddle/fluid/tests/unittests/test_noamdecay_op.py
+34
-0
python/paddle/optimizer/lr.py
python/paddle/optimizer/lr.py
+3
-0
未找到文件。
python/paddle/fluid/tests/unittests/test_noamdecay_op.py
0 → 100644
浏览文件 @
96a0ce60
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
unittest
import
paddle
class
TestSparseEmbeddingAPIError
(
unittest
.
TestCase
):
def
test_errors
(
self
):
with
paddle
.
fluid
.
dygraph
.
guard
():
# The size of input in sparse_embedding should not be 0.
def
test_0_d_model
():
schedular
=
paddle
.
optimizer
.
lr
.
NoamDecay
(
d_model
=
0
,
warmup_steps
=
0
)
self
.
assertRaises
(
ValueError
,
test_0_d_model
)
if
__name__
==
'__main__'
:
paddle
.
enable_static
()
unittest
.
main
()
python/paddle/optimizer/lr.py
浏览文件 @
96a0ce60
...
@@ -296,6 +296,9 @@ class NoamDecay(LRScheduler):
...
@@ -296,6 +296,9 @@ class NoamDecay(LRScheduler):
last_epoch
=-
1
,
last_epoch
=-
1
,
verbose
=
False
,
verbose
=
False
,
):
):
if
d_model
<=
0
:
raise
ValueError
(
"d_model should be grater than 0"
)
self
.
d_model
=
d_model
self
.
d_model
=
d_model
self
.
warmup_steps
=
warmup_steps
self
.
warmup_steps
=
warmup_steps
super
().
__init__
(
learning_rate
,
last_epoch
,
verbose
)
super
().
__init__
(
learning_rate
,
last_epoch
,
verbose
)
...
...
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