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体验新版 GitCode,发现更多精彩内容 >>
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7c42aad4
编写于
8月 02, 2017
作者:
Y
Yu Yang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Initialize Gradient Checker
Add get_numeric_gradient API and its unittest.
上级
f70e8077
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
79 addition
and
3 deletion
+79
-3
paddle/pybind/pybind.cc
paddle/pybind/pybind.cc
+8
-2
python/paddle/v2/framework/tests/CMakeLists.txt
python/paddle/v2/framework/tests/CMakeLists.txt
+2
-1
python/paddle/v2/framework/tests/gradient_checker.py
python/paddle/v2/framework/tests/gradient_checker.py
+69
-0
未找到文件。
paddle/pybind/pybind.cc
浏览文件 @
7c42aad4
...
...
@@ -77,8 +77,14 @@ PYBIND11_PLUGIN(core) {
})
.
def
(
"set"
,
paddle
::
pybind
::
PyTensorSetFromArray
<
float
>
)
.
def
(
"set"
,
paddle
::
pybind
::
PyTensorSetFromArray
<
int
>
)
.
def
(
"shape"
,
[](
pd
::
Tensor
&
self
)
{
return
pd
::
vectorize
(
self
.
dims
());
});
.
def
(
"shape"
,
[](
pd
::
Tensor
&
self
)
{
return
pd
::
vectorize
(
self
.
dims
());
})
.
def
(
"set_float_element"
,
[](
pd
::
Tensor
&
self
,
size_t
offset
,
float
f
)
{
self
.
data
<
float
>
()[
offset
]
=
f
;
})
.
def
(
"get_float_element"
,
[](
pd
::
Tensor
&
self
,
size_t
offset
)
->
float
{
return
self
.
data
<
float
>
()[
offset
];
});
py
::
class_
<
pd
::
Variable
>
(
m
,
"Variable"
,
R"DOC(Variable Class.
...
...
python/paddle/v2/framework/tests/CMakeLists.txt
浏览文件 @
7c42aad4
...
...
@@ -13,4 +13,5 @@ add_python_test(test_framework
test_sigmoid_op.py
test_softmax_op.py
test_rowwise_add_op.py
test_network.py
)
test_network.py
gradient_checker.py
)
python/paddle/v2/framework/tests/gradient_checker.py
0 → 100644
浏览文件 @
7c42aad4
import
paddle.v2.framework.core
as
core
from
paddle.v2.framework.create_op_creation_methods
import
op_creations
import
numpy
import
unittest
def
get_numeric_gradient
(
op
,
input_values
,
output_name
,
input_to_check
,
delta
=
1e-5
,
local_scope
=
None
):
if
local_scope
is
None
:
local_scope
=
core
.
Scope
()
for
var_name
in
input_values
:
var
=
local_scope
.
new_var
(
var_name
)
tensor
=
var
.
get_tensor
()
tensor
.
set_dims
(
input_values
[
var_name
].
shape
)
tensor
.
alloc_float
()
tensor
.
set
(
input_values
[
var_name
])
for
output
in
op
.
outputs
():
local_scope
.
new_var
(
output
).
get_tensor
()
op
.
infer_shape
(
local_scope
)
for
output
in
op
.
outputs
():
local_scope
.
find_var
(
output
).
get_tensor
().
alloc_float
()
cpu_ctx
=
core
.
DeviceContext
.
cpu_context
()
def
get_output
():
op
.
run
(
local_scope
,
cpu_ctx
)
return
numpy
.
array
(
local_scope
.
find_var
(
output_name
).
get_tensor
()).
sum
()
def
product
(
dim
):
return
reduce
(
lambda
a
,
b
:
a
*
b
,
dim
,
1
)
tensor_to_check
=
local_scope
.
find_var
(
input_to_check
).
get_tensor
()
tensor_size
=
product
(
tensor_to_check
.
get_dims
())
gradient_flat
=
numpy
.
zeros
(
shape
=
(
tensor_size
,
),
dtype
=
'float32'
)
for
i
in
xrange
(
tensor_size
):
origin
=
tensor_to_check
.
get_float_element
(
i
)
x_pos
=
origin
+
delta
tensor_to_check
.
set_float_element
(
i
,
x_pos
)
y_pos
=
get_output
()
x_neg
=
origin
-
delta
tensor_to_check
.
set_float_element
(
i
,
x_neg
)
y_neg
=
get_output
()
tensor_to_check
.
set_float_element
(
i
,
origin
)
# restore old value
gradient_flat
[
i
]
=
(
y_pos
-
y_neg
)
/
delta
/
2
return
gradient_flat
.
reshape
(
tensor_to_check
.
get_dims
())
if
__name__
==
'__main__'
:
class
GetNumericGradientTest
(
unittest
.
TestCase
):
def
test_add_op
(
self
):
add_op
=
op_creations
.
add_two
(
X
=
"X"
,
Y
=
"Y"
,
Out
=
"Z"
)
x
=
numpy
.
random
.
random
((
10
,
1
)).
astype
(
"float32"
)
y
=
numpy
.
random
.
random
((
10
,
1
)).
astype
(
"float32"
)
arr
=
get_numeric_gradient
(
add_op
,
{
'X'
:
x
,
"Y"
:
y
},
'Z'
,
'X'
)
self
.
assertAlmostEqual
(
arr
.
mean
(),
1.0
,
delta
=
1e-2
)
unittest
.
main
()
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