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体验新版 GitCode,发现更多精彩内容 >>
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440b96d3
编写于
9月 19, 2022
作者:
C
Charles-hit
提交者:
GitHub
9月 19, 2022
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电子邮件补丁
差异文件
support sign op backward refuse forward (#46002)
上级
491e4df3
变更
3
显示空白变更内容
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并排
Showing
3 changed file
with
85 addition
and
0 deletion
+85
-0
paddle/phi/api/yaml/legacy_backward.yaml
paddle/phi/api/yaml/legacy_backward.yaml
+6
-0
paddle/phi/api/yaml/legacy_ops.yaml
paddle/phi/api/yaml/legacy_ops.yaml
+1
-0
python/paddle/fluid/tests/unittests/test_sign_op.py
python/paddle/fluid/tests/unittests/test_sign_op.py
+78
-0
未找到文件。
paddle/phi/api/yaml/legacy_backward.yaml
浏览文件 @
440b96d3
...
...
@@ -2096,6 +2096,12 @@
optional
:
grad_grad_out_grad
inplace
:
(grad_grad_x -> fwd_grad_out_grad)
-
backward_op
:
sign_grad
forward
:
sign (Tensor x) -> Tensor(out)
args
:
(Tensor out_grad)
output
:
Tensor(x_grad)
invoke
:
scale(out_grad, 0.0, 0.0,
true
)
-
backward_op
:
silu_grad
forward
:
silu (Tensor x) -> Tensor(out)
args
:
(Tensor x, Tensor out_grad)
...
...
paddle/phi/api/yaml/legacy_ops.yaml
浏览文件 @
440b96d3
...
...
@@ -2377,6 +2377,7 @@
func
:
UnchangedInferMeta
kernel
:
func
:
sign
backward
:
sign_grad
-
op
:
silu
args
:
(Tensor x)
...
...
python/paddle/fluid/tests/unittests/test_sign_op.py
浏览文件 @
440b96d3
...
...
@@ -19,7 +19,11 @@ import numpy as np
from
op_test
import
OpTest
import
paddle
import
paddle.fluid
as
fluid
import
paddle.fluid.core
as
core
from
paddle.fluid
import
Program
,
program_guard
import
gradient_checker
from
decorator_helper
import
prog_scope
import
paddle.fluid.layers
as
layers
class
TestSignOp
(
OpTest
):
...
...
@@ -91,6 +95,80 @@ class TestSignAPI(unittest.TestCase):
paddle
.
sign
(
input4
)
class
TestSignDoubleGradCheck
(
unittest
.
TestCase
):
def
sign_wrapper
(
self
,
x
):
return
paddle
.
sign
(
x
[
0
])
@
prog_scope
()
def
func
(
self
,
place
):
# the shape of input variable should be clearly specified, not inlcude -1.
eps
=
0.005
dtype
=
np
.
float32
data
=
layers
.
data
(
'data'
,
[
1
,
4
],
False
,
dtype
)
data
.
persistable
=
True
out
=
paddle
.
sign
(
data
)
data_arr
=
np
.
random
.
uniform
(
-
1
,
1
,
data
.
shape
).
astype
(
dtype
)
gradient_checker
.
double_grad_check
([
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
,
eps
=
eps
)
fluid
.
set_flags
({
"FLAGS_retain_grad_for_all_tensor"
:
True
})
gradient_checker
.
double_grad_check_for_dygraph
(
self
.
sign_wrapper
,
[
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
)
def
test_grad
(
self
):
paddle
.
enable_static
()
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
p
in
places
:
self
.
func
(
p
)
class
TestSignTripleGradCheck
(
unittest
.
TestCase
):
def
sign_wrapper
(
self
,
x
):
return
paddle
.
sign
(
x
[
0
])
@
prog_scope
()
def
func
(
self
,
place
):
# the shape of input variable should be clearly specified, not inlcude -1.
eps
=
0.005
dtype
=
np
.
float32
data
=
layers
.
data
(
'data'
,
[
1
,
4
],
False
,
dtype
)
data
.
persistable
=
True
out
=
paddle
.
sign
(
data
)
data_arr
=
np
.
random
.
uniform
(
-
1
,
1
,
data
.
shape
).
astype
(
dtype
)
gradient_checker
.
triple_grad_check
([
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
,
eps
=
eps
)
fluid
.
set_flags
({
"FLAGS_retain_grad_for_all_tensor"
:
True
})
gradient_checker
.
triple_grad_check_for_dygraph
(
self
.
sign_wrapper
,
[
data
],
out
,
x_init
=
[
data_arr
],
place
=
place
)
def
test_grad
(
self
):
paddle
.
enable_static
()
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
p
in
places
:
self
.
func
(
p
)
if
__name__
==
"__main__"
:
paddle
.
enable_static
()
unittest
.
main
()
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