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体验新版 GitCode,发现更多精彩内容 >>
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87ab93af
编写于
12月 03, 2019
作者:
Z
Zeng Jinle
提交者:
GitHub
12月 03, 2019
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电子邮件补丁
差异文件
fix adam fp64, test=develop (#21423)
上级
060bf8d0
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
66 addition
and
3 deletion
+66
-3
python/paddle/fluid/optimizer.py
python/paddle/fluid/optimizer.py
+0
-3
python/paddle/fluid/tests/unittests/test_adam_optimizer_fp32_fp64.py
...le/fluid/tests/unittests/test_adam_optimizer_fp32_fp64.py
+66
-0
未找到文件。
python/paddle/fluid/optimizer.py
浏览文件 @
87ab93af
...
...
@@ -1628,14 +1628,12 @@ class AdamOptimizer(Optimizer):
self
.
_add_accumulator
(
name
=
self
.
_beta1_pow_acc_str
,
param
=
p
,
dtype
=
'float32'
,
fill_value
=
0.9
if
isinstance
(
self
.
_beta1
,
Variable
)
\
else
self
.
_beta1
,
shape
=
[
1
])
self
.
_add_accumulator
(
name
=
self
.
_beta2_pow_acc_str
,
param
=
p
,
dtype
=
'float32'
,
fill_value
=
0.999
if
isinstance
(
self
.
_beta2
,
Variable
)
\
else
self
.
_beta2
,
shape
=
[
1
])
...
...
@@ -1835,7 +1833,6 @@ class AdamaxOptimizer(Optimizer):
self
.
_add_accumulator
(
name
=
self
.
_beta1_pow_acc_str
,
param
=
p
,
dtype
=
'float32'
,
fill_value
=
self
.
_beta1
,
shape
=
[
1
])
...
...
python/paddle/fluid/tests/unittests/test_adam_optimizer_fp32_fp64.py
0 → 100644
浏览文件 @
87ab93af
# Copyright (c) 2019 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
paddle
import
paddle.fluid
as
fluid
import
unittest
def
get_places
():
places
=
[
fluid
.
CPUPlace
()]
if
fluid
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
return
places
def
main_test_func
(
place
,
dtype
):
main
=
fluid
.
Program
()
startup
=
fluid
.
Program
()
with
fluid
.
program_guard
(
main
,
startup
):
with
fluid
.
scope_guard
(
fluid
.
Scope
()):
x
=
fluid
.
data
(
name
=
'x'
,
shape
=
[
None
,
13
],
dtype
=
dtype
)
y
=
fluid
.
data
(
name
=
'y'
,
shape
=
[
None
,
1
],
dtype
=
dtype
)
y_predict
=
fluid
.
layers
.
fc
(
input
=
x
,
size
=
1
,
act
=
None
)
cost
=
fluid
.
layers
.
square_error_cost
(
input
=
y_predict
,
label
=
y
)
avg_cost
=
fluid
.
layers
.
mean
(
cost
)
adam_optimizer
=
fluid
.
optimizer
.
AdamOptimizer
(
0.01
)
adam_optimizer
.
minimize
(
avg_cost
)
fetch_list
=
[
avg_cost
]
train_reader
=
fluid
.
io
.
batch
(
paddle
.
dataset
.
uci_housing
.
train
(),
batch_size
=
1
)
feeder
=
fluid
.
DataFeeder
(
place
=
place
,
feed_list
=
[
x
,
y
])
exe
=
fluid
.
Executor
(
place
)
exe
.
run
(
fluid
.
default_startup_program
())
for
data
in
train_reader
():
exe
.
run
(
main
,
feed
=
feeder
.
feed
(
data
),
fetch_list
=
fetch_list
)
class
AdamFp32Test
(
unittest
.
TestCase
):
def
setUp
(
self
):
self
.
dtype
=
'float32'
def
test_main
(
self
):
for
p
in
get_places
():
main_test_func
(
p
,
self
.
dtype
)
class
AdamFp64Test
(
AdamFp32Test
):
def
setUp
(
self
):
self
.
dtype
=
'float64'
if
__name__
==
'__main__'
:
unittest
.
main
()
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