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c7eb199b
编写于
1月 10, 2018
作者:
Y
Yang Yu
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python/paddle/v2/fluid/tests/test_parallel_op.py
python/paddle/v2/fluid/tests/test_parallel_op.py
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python/paddle/v2/fluid/tests/test_parallel_op.py
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c7eb199b
import
unittest
import
paddle.v2.fluid.layers
as
layers
import
paddle.v2.fluid
as
fluid
from
paddle.v2.fluid.framework
import
Program
from
paddle.v2.fluid.executor
import
Executor
from
paddle.v2.fluid.backward
import
append_backward
import
numpy
as
np
import
paddle.v2.fluid.core
as
core
class
ParallelOpTest
(
unittest
.
TestCase
):
def
setUp
(
self
):
x
=
layers
.
data
(
shape
=
[
-
1
,
30
,
40
],
dtype
=
'float32'
,
name
=
'x'
,
append_batch_size
=
False
,
stop_gradient
=
False
)
places
=
layers
.
get_places
(
device_count
=
4
)
pd
=
layers
.
ParallelDo
(
places
=
places
)
with
pd
.
do
():
data
=
pd
.
read_input
(
x
)
hidden
=
layers
.
fc
(
input
=
data
,
size
=
7
)
pd
.
write_output
(
hidden
)
data
=
pd
()
loss
=
layers
.
mean
(
x
=
data
)
sgd_optimizer
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.001
)
sgd_optimizer
.
minimize
(
loss
)
exe
=
fluid
.
Executor
(
fluid
.
CPUPlace
())
exe
.
run
(
fluid
.
default_startup_program
())
exe
.
run
(
fluid
.
default_main_program
(),
feed
=
{
x
.
name
:
np
.
random
.
uniform
(
0.1
,
0.6
,
(
20
,
30
,
40
)).
astype
(
"float32"
)
})
def
test_forward
(
self
):
pass
import
numpy
class
BaseParallelForTest
(
unittest
.
TestCase
):
def
main
(
self
,
callback
,
feed
,
fetch
):
cpu
=
fluid
.
CPUPlace
()
result_cpu
=
self
.
_main_impl_
(
callback
=
callback
,
feed
=
feed
,
fetch
=
fetch
,
place
=
cpu
,
use_parallel
=
False
)
print
result_cpu
def
_main_impl_
(
self
,
callback
,
feed
,
fetch
,
place
,
use_parallel
=
False
):
main
=
fluid
.
Program
()
startup
=
fluid
.
Program
()
# Fix seed
main
.
random_seed
=
10
startup
.
random_seed
=
10
with
fluid
.
program_guard
(
main
,
startup
):
generator
=
callback
()
# Automatically insert parallel do if use_parallel = True
if
use_parallel
:
places
=
fluid
.
layers
.
get_places
()
pd
=
fluid
.
layers
.
ParallelDo
(
places
)
data
=
next
(
generator
)
if
isinstance
(
data
,
fluid
.
Variable
):
data
=
[
data
]
with
pd
.
do
():
ins
=
map
(
pd
.
read_input
,
data
)
if
len
(
ins
)
==
1
:
ins
=
ins
[
0
]
generator
.
send
(
ins
)
# patch input
loss
=
next
(
generator
)
pd
.
write_output
(
loss
)
loss
=
pd
()
else
:
data
=
next
(
generator
)
generator
.
send
(
data
)
loss
=
next
(
generator
)
avg_loss
=
fluid
.
layers
.
mean
(
x
=
loss
)
fluid
.
backward
.
append_backward
(
loss
=
avg_loss
)
exe
=
fluid
.
Executor
(
place
)
exe
.
run
(
startup
)
return
exe
.
run
(
main
,
feed
=
feed
,
fetch_list
=
fetch
)
class
ParallelOpTest
(
BaseParallelForTest
):
def
test_simple_fc
(
self
):
def
__network__
():
x
=
fluid
.
layers
.
data
(
shape
=
[
784
],
dtype
=
'float32'
,
name
=
'img'
)
x
=
yield
x
hidden
=
fluid
.
layers
.
fc
(
input
=
x
,
size
=
200
,
param_attr
=
'fc1.w'
)
loss
=
fluid
.
layers
.
mean
(
x
=
hidden
)
yield
loss
self
.
main
(
callback
=
__network__
,
feed
=
{
'img'
:
numpy
.
random
.
random
(
size
=
(
128
,
784
)).
astype
(
'float32'
)
},
fetch
=
'fc1.w@GRAD'
)
if
__name__
==
'__main__'
:
...
...
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