Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle
提交
11fb8a1c
P
Paddle
项目概览
PaddlePaddle
/
Paddle
大约 1 年 前同步成功
通知
2298
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
11fb8a1c
编写于
8月 31, 2020
作者:
G
GaoWei8
提交者:
GitHub
8月 31, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Refine cudnn softmax (#25757)
* refine cudnn softmax
上级
885c61f0
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
155 addition
and
45 deletion
+155
-45
paddle/fluid/operators/softmax_cudnn_op.cu.cc
paddle/fluid/operators/softmax_cudnn_op.cu.cc
+68
-38
paddle/fluid/operators/softmax_op.cc
paddle/fluid/operators/softmax_op.cc
+0
-7
python/paddle/fluid/tests/unittests/test_softmax_op.py
python/paddle/fluid/tests/unittests/test_softmax_op.py
+87
-0
未找到文件。
paddle/fluid/operators/softmax_cudnn_op.cu.cc
浏览文件 @
11fb8a1c
...
...
@@ -12,60 +12,90 @@ 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. */
#include "paddle/fluid/operators/math/softmax.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/softmax_op.h"
#include "paddle/fluid/platform/cudnn_desc.h"
#include "paddle/fluid/platform/cudnn_helper.h"
namespace
paddle
{
namespace
operators
{
using
ScopedTensorDescriptor
=
platform
::
ScopedTensorDescriptor
;
using
DataLayout
=
platform
::
DataLayout
;
using
Tensor
=
framework
::
Tensor
;
static
inline
int
SizeOutAxis
(
const
int
axis
,
DDim
dims
)
{
int
size
=
1
;
for
(
int
i
=
axis
+
1
;
i
<
dims
.
size
();
i
++
)
{
size
*=
dims
[
i
];
}
return
size
;
}
template
<
typename
T
>
class
SoftmaxCUDNNKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
X
=
context
.
Input
<
Tensor
>
(
"X"
);
auto
*
Out
=
context
.
Output
<
Tensor
>
(
"Out"
);
// allocate memory on device.
Out
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
dims
=
X
->
dims
();
auto
flattened_dims
=
framework
::
flatten_to_2d
(
dims
,
dims
.
size
()
-
1
);
framework
::
LoDTensor
flattened_x
;
framework
::
LoDTensor
flattened_out
;
flattened_x
.
ShareDataWith
(
*
X
).
Resize
(
flattened_dims
);
flattened_out
.
ShareDataWith
(
*
Out
).
Resize
(
flattened_dims
);
math
::
SoftmaxCUDNNFunctor
<
T
>
()(
context
.
template
device_context
<
platform
::
CUDADeviceContext
>(),
&
flattened_x
,
&
flattened_out
);
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
x
=
ctx
.
Input
<
Tensor
>
(
"X"
);
auto
*
out
=
ctx
.
Output
<
Tensor
>
(
"Out"
);
out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
*
out_data
=
out
->
data
<
T
>
();
auto
dims
=
x
->
dims
();
const
int
rank
=
dims
.
size
();
const
int
axis
=
CanonicalAxis
(
ctx
.
Attr
<
int
>
(
"axis"
),
rank
);
const
int
dim
=
dims
[
axis
];
const
int
N
=
SizeToAxis
(
axis
,
dims
);
const
int
D
=
SizeOutAxis
(
axis
,
dims
);
ScopedTensorDescriptor
desc
;
std
::
vector
<
int
>
tensor_dims
=
{
N
,
dim
,
D
,
1
};
DataLayout
layout
=
DataLayout
::
kNCHW
;
cudnnTensorDescriptor_t
desc_
=
desc
.
descriptor
<
T
>
(
layout
,
tensor_dims
);
auto
&
dev_ctx
=
ctx
.
template
device_context
<
platform
::
CUDADeviceContext
>();
auto
handle
=
dev_ctx
.
cudnn_handle
();
auto
mode
=
axis
==
rank
-
1
?
CUDNN_SOFTMAX_MODE_INSTANCE
:
CUDNN_SOFTMAX_MODE_CHANNEL
;
PADDLE_ENFORCE_CUDA_SUCCESS
(
platform
::
dynload
::
cudnnSoftmaxForward
(
handle
,
CUDNN_SOFTMAX_ACCURATE
,
mode
,
platform
::
CudnnDataType
<
T
>::
kOne
(),
desc_
,
x
->
data
<
T
>
(),
platform
::
CudnnDataType
<
T
>::
kZero
(),
desc_
,
out_data
));
}
};
template
<
typename
T
>
class
SoftmaxGradCUDNNKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
Out
=
context
.
Input
<
Tensor
>
(
"Out"
);
auto
*
dOut
=
context
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
*
dX
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
));
// allocate memory on device.
dX
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
dims
=
Out
->
dims
();
auto
flattened_dims
=
framework
::
flatten_to_2d
(
dims
,
dims
.
size
()
-
1
);
framework
::
LoDTensor
flattened_out
;
framework
::
LoDTensor
flattened_d_out
;
framework
::
LoDTensor
flattened_d_x
;
flattened_out
.
ShareDataWith
(
*
Out
).
Resize
(
flattened_dims
);
flattened_d_out
.
ShareDataWith
(
*
dOut
).
Resize
(
flattened_dims
);
flattened_d_x
.
ShareDataWith
(
*
dX
).
Resize
(
flattened_dims
);
math
::
SoftmaxGradCUDNNFunctor
<
T
>
()(
context
.
template
device_context
<
platform
::
CUDADeviceContext
>(),
&
flattened_out
,
&
flattened_d_out
,
&
flattened_d_x
);
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
out
=
ctx
.
Input
<
Tensor
>
(
"Out"
);
auto
*
dout
=
ctx
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
*
dx
=
ctx
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
));
dx
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
*
dx_data
=
dx
->
data
<
T
>
();
auto
dims
=
out
->
dims
();
const
int
rank
=
dims
.
size
();
const
int
axis
=
CanonicalAxis
(
ctx
.
Attr
<
int
>
(
"axis"
),
rank
);
const
int
dim
=
dims
[
axis
];
const
int
N
=
SizeToAxis
(
axis
,
dims
);
const
int
D
=
SizeOutAxis
(
axis
,
dims
);
ScopedTensorDescriptor
desc
;
std
::
vector
<
int
>
tensor_dims
=
{
N
,
dim
,
D
,
1
};
DataLayout
layout
=
DataLayout
::
kNCHW
;
cudnnTensorDescriptor_t
desc_
=
desc
.
descriptor
<
T
>
(
layout
,
tensor_dims
);
auto
&
dev_ctx
=
ctx
.
template
device_context
<
platform
::
CUDADeviceContext
>();
auto
handle
=
dev_ctx
.
cudnn_handle
();
auto
mode
=
axis
==
rank
-
1
?
CUDNN_SOFTMAX_MODE_INSTANCE
:
CUDNN_SOFTMAX_MODE_CHANNEL
;
PADDLE_ENFORCE_CUDA_SUCCESS
(
platform
::
dynload
::
cudnnSoftmaxBackward
(
handle
,
CUDNN_SOFTMAX_ACCURATE
,
mode
,
platform
::
CudnnDataType
<
T
>::
kOne
(),
desc_
,
out
->
data
<
T
>
(),
desc_
,
dout
->
data
<
T
>
(),
platform
::
CudnnDataType
<
T
>::
kZero
(),
desc_
,
dx_data
));
}
};
...
...
paddle/fluid/operators/softmax_op.cc
浏览文件 @
11fb8a1c
...
...
@@ -53,13 +53,6 @@ class SoftmaxOp : public framework::OperatorWithKernel {
"Attr(axis) value should be in range [-R, R-1], "
"R is the rank of Input(X)."
));
auto
use_cudnn
=
ctx
->
Attrs
().
Get
<
bool
>
(
"use_cudnn"
);
if
(
axis
!=
rank_x
-
1
&&
axis
!=
-
1
)
{
PADDLE_ENFORCE_EQ
(
use_cudnn
,
false
,
platform
::
errors
::
InvalidArgument
(
"CUDNN kernel only support axis as -1."
));
}
ctx
->
SetOutputDim
(
"Out"
,
ctx
->
GetInputDim
(
"X"
));
ctx
->
ShareLoD
(
"X"
,
/*->*/
"Out"
);
}
...
...
python/paddle/fluid/tests/unittests/test_softmax_op.py
浏览文件 @
11fb8a1c
...
...
@@ -153,16 +153,103 @@ class TestSoftmaxCUDNNOp2(TestSoftmaxCUDNNOp):
return
[
2
,
3
,
4
,
5
]
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp3
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
]
def
get_axis
(
self
):
return
0
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp4
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
]
def
get_axis
(
self
):
return
1
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp5
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
]
def
get_axis
(
self
):
return
2
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp6
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
]
def
get_axis
(
self
):
return
3
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp7
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
,
6
]
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp8
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
,
6
]
def
get_axis
(
self
):
return
0
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp9
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
,
6
]
def
get_axis
(
self
):
return
1
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp10
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
,
6
]
def
get_axis
(
self
):
return
2
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp11
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
,
6
]
def
get_axis
(
self
):
return
3
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxCUDNNOp12
(
TestSoftmaxCUDNNOp
):
def
get_x_shape
(
self
):
return
[
2
,
3
,
4
,
5
,
6
]
def
get_axis
(
self
):
return
4
@
unittest
.
skipIf
(
not
core
.
is_compiled_with_cuda
(),
"core is not compiled with CUDA"
)
class
TestSoftmaxFP16Op
(
TestSoftmaxOp
):
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录