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6caea459
编写于
6月 18, 2018
作者:
Q
qiaolongfei
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add TestFtrlOptimizer
上级
ca341db2
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1 changed file
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python/paddle/fluid/tests/unittests/test_optimizer.py
python/paddle/fluid/tests/unittests/test_optimizer.py
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未找到文件。
python/paddle/fluid/tests/unittests/test_optimizer.py
浏览文件 @
6caea459
...
...
@@ -434,5 +434,71 @@ class TestDecayedAdagradOptimizer(unittest.TestCase):
self
.
assertAlmostEqual
(
init_ops
[
1
].
attr
(
'value'
),
0.0
)
class
TestFtrlOptimizer
(
unittest
.
TestCase
):
class
MockFtrl
(
optimizer
.
FtrlOptimizer
):
def
get_accumulators
(
self
):
return
self
.
_accumulators
def
get_squared_str
(
self
):
return
self
.
_squared_acc_str
def
get_linear_str
(
self
):
return
self
.
_linear_acc_str
def
test_ftrl_optimizer
(
self
):
init_program
=
framework
.
Program
()
program
=
framework
.
Program
()
block
=
program
.
global_block
()
mul_x
=
block
.
create_parameter
(
dtype
=
"float32"
,
shape
=
[
5
,
10
],
lod_level
=
0
,
name
=
"mul.x"
,
optimize_attr
=
{
'learning_rate'
:
1.1
})
mul_y
=
block
.
create_var
(
dtype
=
"float32"
,
shape
=
[
10
,
8
],
lod_level
=
0
,
name
=
"mul.y"
)
mul_out
=
block
.
create_var
(
dtype
=
"float32"
,
shape
=
[
5
,
8
],
lod_level
=
0
,
name
=
"mul.out"
)
block
.
append_op
(
type
=
"mul"
,
inputs
=
{
"X"
:
mul_x
,
"Y"
:
mul_y
},
outputs
=
{
"Out"
:
mul_out
},
attrs
=
{
"x_num_col_dims"
:
1
})
mean_out
=
block
.
create_var
(
dtype
=
"float32"
,
shape
=
[
1
],
lod_level
=
0
,
name
=
"mean.out"
)
block
.
append_op
(
type
=
"mean"
,
inputs
=
{
"X"
:
mul_out
},
outputs
=
{
"Out"
:
mean_out
})
learning_rate
=
0.01
ftrl_optimizer
=
self
.
MockFtrl
(
learning_rate
=
learning_rate
,
l1
=
0.0
,
l2
=
0.0
,
lr_power
=-
0.5
)
params_grads
=
append_backward
(
mean_out
)
self
.
assertEqual
(
len
(
params_grads
),
1
)
self
.
assertEqual
(
len
(
ftrl_optimizer
.
get_accumulators
()),
0
)
opts
=
ftrl_optimizer
.
create_optimization_pass
(
params_grads
,
mul_out
,
init_program
)
self
.
assertEqual
(
len
(
opts
),
3
)
self
.
assertEqual
([
op
.
type
for
op
in
opts
],
[
"fill_constant"
,
"elementwise_mul"
,
"ftrl"
])
# Check accumulators
accumulators
=
ftrl_optimizer
.
get_accumulators
()
self
.
assertEqual
(
len
(
accumulators
),
2
)
self
.
assertTrue
(
ftrl_optimizer
.
get_squared_str
()
in
accumulators
)
self
.
assertTrue
(
ftrl_optimizer
.
get_linear_str
()
in
accumulators
)
squared_acc
=
accumulators
[
ftrl_optimizer
.
get_squared_str
()]
linear_acc
=
accumulators
[
ftrl_optimizer
.
get_linear_str
()]
self
.
assertEqual
(
len
(
squared_acc
),
1
)
self
.
assertEqual
(
len
(
linear_acc
),
1
)
self
.
assertTrue
(
mul_x
.
name
in
squared_acc
)
self
.
assertTrue
(
mul_x
.
name
in
linear_acc
)
# Check init_program
init_ops
=
init_program
.
global_block
().
ops
self
.
assertEqual
(
len
(
init_ops
),
3
)
self
.
assertEqual
(
init_ops
[
0
].
type
,
"fill_constant"
)
self
.
assertAlmostEqual
(
init_ops
[
0
].
attr
(
'value'
),
learning_rate
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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