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体验新版 GitCode,发现更多精彩内容 >>
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604b7a53
编写于
3月 20, 2023
作者:
J
Jiabin Yang
提交者:
GitHub
3月 20, 2023
浏览文件
操作
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电子邮件补丁
差异文件
support relue custom vjp (#51742)
上级
702fc894
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
137 addition
and
0 deletion
+137
-0
paddle/fluid/prim/api/api.yaml
paddle/fluid/prim/api/api.yaml
+1
-0
paddle/fluid/prim/api/composite_backward/composite_backward_api.h
...luid/prim/api/composite_backward/composite_backward_api.h
+12
-0
paddle/phi/api/yaml/backward.yaml
paddle/phi/api/yaml/backward.yaml
+1
-0
python/paddle/fluid/tests/unittests/prim/composite_ops/test_composite_relu_custom_vjp.py
...ests/prim/composite_ops/test_composite_relu_custom_vjp.py
+122
-0
python/paddle/incubate/autograd/composite_rules.py
python/paddle/incubate/autograd/composite_rules.py
+1
-0
未找到文件。
paddle/fluid/prim/api/api.yaml
浏览文件 @
604b7a53
...
...
@@ -39,3 +39,4 @@
-
put_along_axis
-
greater_than
-
less_equal
-
where
paddle/fluid/prim/api/composite_backward/composite_backward_api.h
浏览文件 @
604b7a53
...
...
@@ -30,6 +30,18 @@ using Tensor = paddle::Tensor;
using
IntArray
=
paddle
::
experimental
::
IntArrayBase
<
paddle
::
Tensor
>
;
// This function should have as same signature as phi, which defined in
// paddle/phi/api/backward/backward_api.h
template
<
typename
T
>
void
relu_grad
(
const
Tensor
&
out
,
const
Tensor
&
out_grad
,
Tensor
*
x_grad
)
{
if
(
x_grad
)
{
auto
condition
=
greater_than
<
T
>
(
out
,
full
<
T
>
(
phi
::
vectorize
(
out
.
dims
()),
0.0
,
out
.
dtype
()));
auto
res
=
where
<
T
>
(
condition
,
out_grad
,
full
<
T
>
(
phi
::
vectorize
(
out
.
dims
()),
0.0
,
out
.
dtype
()));
set_output
<
T
>
(
res
,
x_grad
);
}
}
template
<
typename
T
>
void
softmax_grad
(
const
Tensor
&
out
,
const
Tensor
&
out_grad
,
...
...
paddle/phi/api/yaml/backward.yaml
浏览文件 @
604b7a53
...
...
@@ -1142,6 +1142,7 @@
kernel
:
func
:
relu_grad
backward
:
relu_double_grad
composite
:
relu_grad(out, out_grad, x_grad)
inplace
:
(out_grad -> x_grad)
-
backward_op
:
renorm_grad
...
...
python/paddle/fluid/tests/unittests/prim/composite_ops/test_composite_relu_custom_vjp.py
0 → 100644
浏览文件 @
604b7a53
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import
unittest
import
numpy
as
np
from
utils
import
TOLERANCE
import
paddle
import
paddle.nn.functional
as
F
from
paddle.fluid
import
core
def
generate_data
(
shape
,
dtype
=
"float32"
):
np_data
=
np
.
random
.
random
(
shape
).
astype
(
dtype
)
return
np_data
class
Attr
:
def
__init__
(
self
)
->
None
:
self
.
dtype
=
None
self
.
shape
=
None
def
set_dtype
(
self
,
dtype
)
->
None
:
self
.
dtype
=
dtype
return
def
set_shape
(
self
,
shape
)
->
None
:
self
.
shape
=
shape
return
def
get_rtol
(
self
,
flag
):
rtol
=
TOLERANCE
[
self
.
dtype
][
flag
].
get
(
"rtol"
)
return
rtol
def
get_atol
(
self
,
flag
):
atol
=
TOLERANCE
[
self
.
dtype
][
flag
].
get
(
"atol"
)
return
atol
attrs
=
Attr
()
def
fn
(
x
):
return
F
.
relu
(
x
)
def
expect_grad
(
inputs
):
paddle
.
disable_static
()
inputs
.
stop_gradient
=
False
res
=
fn
(
inputs
)
gradients
=
paddle
.
grad
(
res
,
inputs
)
return
gradients
class
TestCompositeSoftmaxPrimBackward
(
unittest
.
TestCase
):
"test composite softmax and prim backward"
def
setUp
(
self
):
core
.
_set_prim_backward_enabled
(
True
)
self
.
dtypes
=
[
"float16"
,
"float32"
,
"float64"
]
self
.
shapes
=
[[
2
,
3
,
4
],
[
2
,
3
]]
def
cal_composite_grad
(
self
,
inputs
):
paddle
.
enable_static
()
core
.
_set_prim_all_enabled
(
True
)
startup_program
=
paddle
.
static
.
Program
()
main_program
=
paddle
.
static
.
Program
()
with
paddle
.
static
.
program_guard
(
main_program
,
startup_program
):
x
=
paddle
.
static
.
data
(
'x'
,
shape
=
inputs
.
shape
,
dtype
=
str
(
inputs
.
dtype
)
)
x
.
stop_gradient
=
False
y
=
fn
(
x
)
blocks
=
main_program
.
blocks
z
=
paddle
.
static
.
gradients
([
y
],
x
)
paddle
.
incubate
.
autograd
.
primapi
.
to_prim
(
blocks
)
exe
=
paddle
.
static
.
Executor
()
exe
.
run
(
startup_program
)
res
=
exe
.
run
(
main_program
,
feed
=
{
'x'
:
inputs
},
fetch_list
=
[
z
])
paddle
.
disable_static
()
core
.
_set_prim_all_enabled
(
False
)
return
res
def
compare_backward
(
self
):
np_data
=
generate_data
(
attrs
.
shape
)
tensor_data
=
paddle
.
to_tensor
(
np_data
)
expect
=
expect_grad
(
tensor_data
)[
0
].
numpy
()
actual
=
self
.
cal_composite_grad
(
np_data
)[
0
]
assert
expect
.
dtype
==
actual
.
dtype
np
.
testing
.
assert_allclose
(
expect
,
actual
,
rtol
=
attrs
.
get_rtol
(
"prim_backward"
),
atol
=
attrs
.
get_rtol
(
"prim_backward"
),
)
def
test_prim_backward
(
self
):
for
j
in
self
.
dtypes
:
for
t
in
self
.
shapes
:
attrs
.
set_dtype
(
j
)
attrs
.
set_shape
(
t
)
self
.
compare_backward
()
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/incubate/autograd/composite_rules.py
浏览文件 @
604b7a53
...
...
@@ -97,6 +97,7 @@ def composite_batchnorm(
batch_mean
=
zeros
(
run_mean
.
shape
,
run_mean
.
dtype
)
batch_var
=
zeros
(
run_var
.
shape
,
run_var
.
dtype
)
if
not
use_run_stat
:
batch_mean
=
mean
(
x
,
reduce_axes
,
keepdim
=
True
)
temp
=
mean
(
x
*
x
,
reduce_axes
,
keepdim
=
True
)
batch_var
=
temp
-
batch_mean
*
batch_mean
...
...
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