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体验新版 GitCode,发现更多精彩内容 >>
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b6ca6a55
编写于
4月 29, 2021
作者:
W
WeiXin
提交者:
GitHub
4月 29, 2021
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
forward return any type. (#32661)
上级
b7ddd7d7
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
52 addition
and
20 deletion
+52
-20
paddle/fluid/imperative/py_layer_fwd.h
paddle/fluid/imperative/py_layer_fwd.h
+12
-8
paddle/fluid/operators/py_layer_op.cc
paddle/fluid/operators/py_layer_op.cc
+6
-0
python/paddle/fluid/tests/unittests/test_pylayer_op.py
python/paddle/fluid/tests/unittests/test_pylayer_op.py
+34
-12
未找到文件。
paddle/fluid/imperative/py_layer_fwd.h
浏览文件 @
b6ca6a55
...
...
@@ -115,12 +115,12 @@ py::object PyLayerApply(const platform::Place& place, const py::object& cls,
tuple_result
[
i
].
cast
<
std
::
shared_ptr
<
imperative
::
VarBase
>>
();
output_vars
.
push_back
(
temp_out
);
}
catch
(
py
::
cast_error
&
)
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"The output of `PyLayer.forward` should be `Tensor`."
));
// Only collect Tensor type in 'kwargs' and pass them to backward.
// Ignore other types of input temporarily.
}
}
else
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"The output of `PyLayer.forward` can not be `None`."
));
// Only collect Tensor type in 'kwargs' and pass them to backward.
// Ignore other types of input temporarily.
}
}
}
else
{
...
...
@@ -130,14 +130,18 @@ py::object PyLayerApply(const platform::Place& place, const py::object& cls,
result_forward
.
cast
<
std
::
shared_ptr
<
imperative
::
VarBase
>>
();
output_vars
.
push_back
(
temp_out
);
}
catch
(
py
::
cast_error
&
)
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"The output of `PyLayer.forward` should be `Tensor`."
));
// Only collect Tensor type in 'kwargs' and pass them to backward.
// Ignore other types of input temporarily.
}
}
else
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"The output of `PyLayer.forward` can not be `None`."
));
// Only collect Tensor type in 'kwargs' and pass them to backward.
// Ignore other types of input temporarily.
}
}
if
(
output_vars
.
size
()
==
0
)
{
PADDLE_THROW
(
platform
::
errors
::
InvalidArgument
(
"At least one output of `PyLayer.forward` is a `Tensor`."
));
}
NameVarBaseMap
outs
=
{{
"Out"
,
output_vars
}};
...
...
paddle/fluid/operators/py_layer_op.cc
浏览文件 @
b6ca6a55
...
...
@@ -86,6 +86,12 @@ void RunPyObject(py::object *py_object,
}
}
}
else
{
if
(
1
!=
outs
->
size
())
{
PADDLE_THROW
(
platform
::
errors
::
InvalidArgument
(
"The number of outputs of `PyLayer.backward` should be %d, but "
"received 1."
,
outs
->
size
()));
}
if
((
*
outs
)[
0
]
!=
nullptr
)
{
if
(
Py_None
!=
py_result
.
ptr
())
{
try
{
...
...
python/paddle/fluid/tests/unittests/test_pylayer_op.py
浏览文件 @
b6ca6a55
...
...
@@ -30,7 +30,7 @@ class TestPyLayer(unittest.TestCase):
y1
=
func1
(
x1
)
y2
=
func1
(
x2
)
ctx
.
save_for_backward
(
y1
,
y2
)
return
y1
,
y2
return
y1
,
1
,
y2
,
None
@
staticmethod
def
backward
(
ctx
,
dy1
,
dy2
):
...
...
@@ -44,7 +44,7 @@ class TestPyLayer(unittest.TestCase):
input1
.
stop_gradient
=
False
input2
.
stop_gradient
=
False
z
=
tanh
.
apply
(
input1
,
input1
,
paddle
.
tanh
,
paddle
.
square
)
z
=
z
[
0
]
+
z
[
1
]
z
=
z
[
0
]
+
z
[
2
]
z
.
mean
().
backward
()
z2
=
paddle
.
tanh
(
input2
)
+
paddle
.
tanh
(
input2
)
...
...
@@ -61,7 +61,7 @@ class TestPyLayer(unittest.TestCase):
y1
=
func1
(
x1
)
y2
=
func1
(
x2
)
ctx
.
save_for_backward
(
y1
,
y2
)
return
y1
,
y2
return
1
,
None
,
y1
,
y2
,
''
@
staticmethod
def
backward
(
ctx
,
dy1
,
dy2
):
...
...
@@ -79,7 +79,7 @@ class TestPyLayer(unittest.TestCase):
input3
.
stop_gradient
=
True
input4
.
stop_gradient
=
True
z
=
tanh
.
apply
(
input1
,
input3
,
paddle
.
tanh
,
paddle
.
square
)
z
=
z
[
0
]
+
z
[
1
]
z
=
z
[
2
]
+
z
[
3
]
z
.
mean
().
backward
()
z2
=
paddle
.
tanh
(
input2
)
+
paddle
.
tanh
(
input4
)
...
...
@@ -115,6 +115,27 @@ class TestPyLayer(unittest.TestCase):
self
.
assertTrue
(
np
.
max
(
np
.
abs
((
input1
.
grad
.
numpy
()
-
input2
.
grad
.
numpy
())))
<
1e-10
)
def
test_pylayer_num_output_match
(
self
):
class
tanh
(
PyLayer
):
@
staticmethod
def
forward
(
ctx
,
x1
,
x2
,
):
return
x1
+
x2
@
staticmethod
def
backward
(
ctx
,
dy1
):
return
dy1
+
1
input1
=
paddle
.
randn
([
2
,
3
]).
astype
(
"float64"
)
input2
=
input1
.
detach
().
clone
()
input1
.
stop_gradient
=
False
input2
.
stop_gradient
=
False
z
=
tanh
.
apply
(
input1
,
input2
)
with
self
.
assertRaises
(
ValueError
):
z
.
mean
().
backward
()
def
test_pylayer_dtype
(
self
):
class
tanh
(
PyLayer
):
@
staticmethod
...
...
@@ -150,21 +171,21 @@ class TestPyLayer(unittest.TestCase):
return
args
input1
=
paddle
.
randn
([
2
,
3
]).
astype
(
"float64"
)
with
self
.
assertRaises
(
NotImplemented
Error
):
with
self
.
assertRaises
(
Value
Error
):
z
=
Layer_None1
.
apply
(
input1
)
class
Layer_None2
(
PyLayer
):
@
staticmethod
def
forward
(
ctx
,
*
args
):
return
[
None
,
None
]
return
[
None
,
args
[
0
]
]
@
staticmethod
def
backward
(
ctx
,
*
args
):
return
args
input1
=
paddle
.
randn
([
2
,
3
]).
astype
(
"float64"
)
with
self
.
assertRaises
(
NotImplementedError
):
z
=
Layer_None2
.
apply
(
input1
)
# return None
z
=
Layer_None2
.
apply
(
input1
)
class
Layer_one1
(
PyLayer
):
@
staticmethod
...
...
@@ -176,21 +197,22 @@ class TestPyLayer(unittest.TestCase):
return
args
input1
=
paddle
.
randn
([
2
,
3
]).
astype
(
"float64"
)
with
self
.
assertRaises
(
NotImplementedError
):
# At least one output of `PyLayer.backward` is a `Tensor`
with
self
.
assertRaises
(
ValueError
):
z
=
Layer_one1
.
apply
(
input1
)
class
Layer_one2
(
PyLayer
):
@
staticmethod
def
forward
(
ctx
,
*
args
):
return
[
1
,
2
]
return
[
1
,
2
,
args
[
0
]
]
@
staticmethod
def
backward
(
ctx
,
*
args
):
return
args
input1
=
paddle
.
randn
([
2
,
3
]).
astype
(
"float64"
)
with
self
.
assertRaises
(
NotImplementedError
):
z
=
Layer_one2
.
apply
(
input1
)
# return int
z
=
Layer_one2
.
apply
(
input1
)
class
Layer_no_fw
(
PyLayer
):
@
staticmethod
...
...
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