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9eeb8fde
编写于
7年前
作者:
Q
qingqing01
提交者:
GitHub
7年前
浏览文件
操作
浏览文件
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差异文件
Merge pull request #3238 from qingqing01/unit_test
Refine unit test in op_test_util
上级
2f71f828
f72cefab
6 合并请求
!11636
[IMPORTANT] MKLDNN layout: Support for sum operator
,
!8482
Release/0.11.0
,
!8190
Release/0.11.0
,
!8189
Release/0.11.0
,
!6633
给线性回归的get-started代码加上了预测的示例~~
,
!4615
Feature/tensor array add python binding
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
49 addition
and
31 deletion
+49
-31
python/paddle/v2/framework/tests/op_test_util.py
python/paddle/v2/framework/tests/op_test_util.py
+13
-8
python/paddle/v2/framework/tests/test_add_two_op.py
python/paddle/v2/framework/tests/test_add_two_op.py
+5
-3
python/paddle/v2/framework/tests/test_cross_entropy_op.py
python/paddle/v2/framework/tests/test_cross_entropy_op.py
+6
-4
python/paddle/v2/framework/tests/test_mean_op.py
python/paddle/v2/framework/tests/test_mean_op.py
+2
-2
python/paddle/v2/framework/tests/test_mul_op.py
python/paddle/v2/framework/tests/test_mul_op.py
+5
-3
python/paddle/v2/framework/tests/test_rowwise_add_op.py
python/paddle/v2/framework/tests/test_rowwise_add_op.py
+5
-3
python/paddle/v2/framework/tests/test_sgd_op.py
python/paddle/v2/framework/tests/test_sgd_op.py
+7
-4
python/paddle/v2/framework/tests/test_sigmoid_op.py
python/paddle/v2/framework/tests/test_sigmoid_op.py
+2
-2
python/paddle/v2/framework/tests/test_softmax_op.py
python/paddle/v2/framework/tests/test_softmax_op.py
+4
-2
未找到文件。
python/paddle/v2/framework/tests/op_test_util.py
浏览文件 @
9eeb8fde
...
...
@@ -33,23 +33,28 @@ class OpTestMeta(type):
for
place
in
places
:
for
in_name
in
func
.
all_input_args
:
if
hasattr
(
self
,
in_name
)
:
if
hasattr
(
self
,
"inputs"
)
and
in_name
in
self
.
inputs
:
kwargs
[
in_name
]
=
in_name
var
=
scope
.
new_var
(
in_name
).
get_tensor
()
arr
=
getattr
(
self
,
in_name
)
arr
=
self
.
inputs
[
in_name
]
var
.
set_dims
(
arr
.
shape
)
var
.
set
(
arr
,
place
)
else
:
kwargs
[
in_name
]
=
"@EMPTY@"
for
out_name
in
func
.
all_output_args
:
if
hasattr
(
self
,
out_name
):
kwargs
[
out_name
]
=
out_name
scope
.
new_var
(
out_name
).
get_tensor
()
if
not
hasattr
(
self
,
"outputs"
):
raise
ValueError
(
"The test op must set self.outputs dict."
)
if
out_name
not
in
self
.
outputs
:
raise
ValueError
(
"The %s is not in self.outputs dict."
%
(
out_name
))
kwargs
[
out_name
]
=
out_name
scope
.
new_var
(
out_name
).
get_tensor
()
for
attr_name
in
func
.
all_attr_args
:
if
hasattr
(
self
,
attr_name
)
:
kwargs
[
attr_name
]
=
getattr
(
self
,
attr_name
)
if
hasattr
(
self
,
"attrs"
)
and
attr_name
in
self
.
attrs
:
kwargs
[
attr_name
]
=
self
.
attrs
[
attr_name
]
op
=
func
(
**
kwargs
)
...
...
@@ -60,7 +65,7 @@ class OpTestMeta(type):
for
out_name
in
func
.
all_output_args
:
actual
=
numpy
.
array
(
scope
.
find_var
(
out_name
).
get_tensor
())
expect
=
getattr
(
self
,
out_name
)
expect
=
self
.
outputs
[
out_name
]
numpy
.
isclose
(
actual
,
expect
)
obj
.
test_all
=
test_all
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_add_two_op.py
浏览文件 @
9eeb8fde
...
...
@@ -12,9 +12,11 @@ class TestAddOp(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"add_two"
self
.
X
=
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
self
.
Y
=
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
self
.
Out
=
self
.
X
+
self
.
Y
self
.
inputs
=
{
'X'
:
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
),
'Y'
:
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
}
self
.
outputs
=
{
'Out'
:
self
.
inputs
[
'X'
]
+
self
.
inputs
[
'Y'
]}
class
TestAddGradOp
(
unittest
.
TestCase
):
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_cross_entropy_op.py
浏览文件 @
9eeb8fde
...
...
@@ -7,15 +7,17 @@ class TestSGD(unittest.TestCase):
__metaclass__
=
OpTestMeta
def
setUp
(
self
):
# TODO this unit test is not passed
self
.
type
=
"onehot_cross_entropy"
batch_size
=
100
class_num
=
10
self
.
X
=
numpy
.
random
.
random
((
batch_size
,
class_num
)).
astype
(
"float32"
)
self
.
label
=
5
*
numpy
.
ones
(
batch_size
).
astype
(
"int32"
)
X
=
numpy
.
random
.
random
((
batch_size
,
class_num
)).
astype
(
"float32"
)
label
=
5
*
numpy
.
ones
(
batch_size
).
astype
(
"int32"
)
self
.
inputs
=
{
'X'
:
X
,
'label'
:
label
}
Y
=
[]
for
i
in
range
(
0
,
batch_size
):
Y
.
append
(
-
numpy
.
log
(
self
.
X
[
i
][
self
.
label
[
i
]]))
self
.
Y
=
numpy
.
array
(
Y
).
astype
(
"float32"
)
Y
.
append
(
-
numpy
.
log
(
X
[
i
][
label
[
i
]]))
self
.
outputs
=
{
'Y'
:
numpy
.
array
(
Y
).
astype
(
"float32"
)}
# TODO(superjom) add gradient check
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_mean_op.py
浏览文件 @
9eeb8fde
...
...
@@ -8,8 +8,8 @@ class TestMeanOp(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"mean"
self
.
X
=
np
.
random
.
random
((
32
,
784
)).
astype
(
"float32"
)
self
.
Out
=
np
.
mean
(
self
.
X
)
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
32
,
784
)).
astype
(
"float32"
)}
self
.
outputs
=
{
'Out'
:
np
.
mean
(
self
.
inputs
[
'X'
])}
if
__name__
==
'__main__'
:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_mul_op.py
浏览文件 @
9eeb8fde
...
...
@@ -8,9 +8,11 @@ class TestMulOp(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"mul"
self
.
X
=
np
.
random
.
random
((
32
,
84
)).
astype
(
"float32"
)
self
.
Y
=
np
.
random
.
random
((
84
,
100
)).
astype
(
"float32"
)
self
.
Out
=
np
.
dot
(
self
.
X
,
self
.
Y
)
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
32
,
84
)).
astype
(
"float32"
),
'Y'
:
np
.
random
.
random
((
84
,
100
)).
astype
(
"float32"
)
}
self
.
outputs
=
{
'Out'
:
np
.
dot
(
self
.
inputs
[
'X'
],
self
.
inputs
[
'Y'
])}
if
__name__
==
'__main__'
:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_rowwise_add_op.py
浏览文件 @
9eeb8fde
...
...
@@ -8,9 +8,11 @@ class TestRowwiseAddOp(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"rowwise_add"
self
.
X
=
np
.
random
.
random
((
32
,
84
)).
astype
(
"float32"
)
self
.
b
=
np
.
random
.
random
(
84
).
astype
(
"float32"
)
self
.
Out
=
np
.
add
(
self
.
X
,
self
.
b
)
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
32
,
84
)).
astype
(
"float32"
),
'b'
:
np
.
random
.
random
(
84
).
astype
(
"float32"
)
}
self
.
outputs
=
{
'Out'
:
np
.
add
(
self
.
inputs
[
'X'
],
self
.
inputs
[
'b'
])}
if
__name__
==
'__main__'
:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_sgd_op.py
浏览文件 @
9eeb8fde
...
...
@@ -8,10 +8,13 @@ class TestSGD(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"sgd"
self
.
param
=
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
self
.
grad
=
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
self
.
learning_rate
=
0.1
self
.
param_out
=
self
.
param
-
self
.
learning_rate
*
self
.
grad
w
=
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
g
=
numpy
.
random
.
random
((
102
,
105
)).
astype
(
"float32"
)
lr
=
0.1
self
.
inputs
=
{
'param'
:
w
,
'grad'
:
g
}
self
.
attrs
=
{
'learning_rate'
:
lr
}
self
.
outputs
=
{
'param_out'
:
w
-
lr
*
g
}
if
__name__
==
"__main__"
:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_sigmoid_op.py
浏览文件 @
9eeb8fde
...
...
@@ -8,8 +8,8 @@ class TestSigmoidOp(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"sigmoid"
self
.
X
=
np
.
random
.
random
((
32
,
100
)).
astype
(
"float32"
)
self
.
Y
=
1
/
(
1
+
np
.
exp
(
-
self
.
X
))
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
32
,
100
)).
astype
(
"float32"
)}
self
.
outputs
=
{
'Y'
:
1
/
(
1
+
np
.
exp
(
-
self
.
inputs
[
'X'
]))}
if
__name__
==
'__main__'
:
...
...
This diff is collapsed.
Click to expand it.
python/paddle/v2/framework/tests/test_softmax_op.py
浏览文件 @
9eeb8fde
...
...
@@ -19,8 +19,10 @@ class TestSoftmaxOp(unittest.TestCase):
def
setUp
(
self
):
self
.
type
=
"softmax"
self
.
X
=
np
.
random
.
random
((
32
,
100
)).
astype
(
"float32"
)
self
.
Y
=
np
.
apply_along_axis
(
stable_softmax
,
1
,
self
.
X
)
self
.
inputs
=
{
'X'
:
np
.
random
.
random
((
32
,
100
)).
astype
(
"float32"
)}
self
.
outputs
=
{
'Y'
:
np
.
apply_along_axis
(
stable_softmax
,
1
,
self
.
inputs
[
'X'
])
}
class
TestSoftmaxGradOp
(
unittest
.
TestCase
):
...
...
This diff is collapsed.
Click to expand it.
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