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463c72c2
编写于
10月 20, 2020
作者:
W
wangchaochaohu
提交者:
GitHub
10月 20, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
refine gpu kernel config for Paddle (#28085)
上级
2cb1ecb9
变更
14
隐藏空白更改
内联
并排
Showing
14 changed file
with
173 addition
and
208 deletion
+173
-208
paddle/fluid/operators/bce_loss_op.cu
paddle/fluid/operators/bce_loss_op.cu
+8
-8
paddle/fluid/operators/bilateral_slice_op.cu
paddle/fluid/operators/bilateral_slice_op.cu
+18
-12
paddle/fluid/operators/cumsum_op.cu
paddle/fluid/operators/cumsum_op.cu
+1
-1
paddle/fluid/operators/interpolate_op.cu
paddle/fluid/operators/interpolate_op.cu
+22
-20
paddle/fluid/operators/interpolate_v2_op.cu
paddle/fluid/operators/interpolate_v2_op.cu
+22
-20
paddle/fluid/operators/math/segment_pooling.cu
paddle/fluid/operators/math/segment_pooling.cu
+1
-1
paddle/fluid/operators/mish_op.cu
paddle/fluid/operators/mish_op.cu
+12
-8
paddle/fluid/operators/mv_op.cu
paddle/fluid/operators/mv_op.cu
+1
-1
paddle/fluid/operators/segment_pool_op.cu
paddle/fluid/operators/segment_pool_op.cu
+1
-1
paddle/fluid/operators/stack_op.cu
paddle/fluid/operators/stack_op.cu
+1
-1
paddle/fluid/operators/transpose_op.cu
paddle/fluid/operators/transpose_op.cu
+1
-1
paddle/fluid/operators/where_op.cu
paddle/fluid/operators/where_op.cu
+1
-1
paddle/fluid/platform/gpu_launch_config.h
paddle/fluid/platform/gpu_launch_config.h
+84
-30
paddle/fluid/platform/gpu_launch_param_config.h
paddle/fluid/platform/gpu_launch_param_config.h
+0
-103
未找到文件。
paddle/fluid/operators/bce_loss_op.cu
浏览文件 @
463c72c2
...
...
@@ -70,7 +70,7 @@ class BCELossCUDAKernel : public framework::OpKernel<T> {
auto
x_numel
=
x
->
numel
();
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
x_numel
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
x_numel
);
Tensor
x_cpu
;
framework
::
TensorCopy
(
*
x
,
platform
::
CPUPlace
(),
&
x_cpu
);
...
...
@@ -89,9 +89,9 @@ class BCELossCUDAKernel : public framework::OpKernel<T> {
auto
&
dev_ctx
=
ctx
.
cuda_device_context
();
GPUBCELossForward
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
dev_ctx
.
stream
()
>>>
(
x_data
,
labels
->
data
<
T
>
(),
out_data
,
x_numel
);
GPUBCELossForward
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
dev_ctx
.
stream
()
>>>
(
x_data
,
labels
->
data
<
T
>
(),
out_data
,
x_numel
);
}
};
...
...
@@ -106,12 +106,12 @@ class BCELossGradCUDAKernel : public framework::OpKernel<T> {
auto
dx_data
=
dx
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
int
x_numel
=
x
->
numel
();
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
x_numel
,
ctx
);
auto
&
dev_ctx
=
ctx
.
cuda_device_context
();
platform
::
GpuLaunchConfig
config
=
platform
::
GetGpuLaunchConfig1D
(
dev_ctx
,
x_numel
);
GPUBCELossBackward
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
dev_ctx
.
stream
()
>>>
(
GPUBCELossBackward
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
dev_ctx
.
stream
()
>>>
(
x
->
data
<
T
>
(),
labels
->
data
<
T
>
(),
dout
->
data
<
T
>
(),
dx_data
,
x_numel
);
}
};
...
...
paddle/fluid/operators/bilateral_slice_op.cu
浏览文件 @
463c72c2
...
...
@@ -165,10 +165,11 @@ class BilateralSliceOpCUDAKernel : public framework::OpKernel<T> {
int
total_count
=
batch_size
*
h
*
w
*
output_dims
[
1
];
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
total_count
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
total_count
);
BilateralSliceCudaForwardKernel
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
BilateralSliceCudaForwardKernel
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
output_data
,
grid_data
,
guide_data
,
input_data
,
grid_sizes
,
has_offset
,
total_count
,
output_dims
[
1
]);
}
...
...
@@ -472,24 +473,29 @@ class BilateralSliceGradOpCUDAKernel : public framework::OpKernel<T> {
grid_sizes
.
input_chans
=
input_chans
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
grid_count
,
ctx
,
512
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
grid_count
);
BilateralSliceCudaGridGradKernel
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
BilateralSliceCudaGridGradKernel
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
grid_grad_data
,
output_grad_data
,
guide_data
,
input_data
,
grid_sizes
,
has_offset
,
grid_count
,
output_chans
);
config
=
platform
::
getGpuLaunchConfig
(
guide_count
,
ctx
,
512
);
config
=
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
guide_count
);
BilateralSliceCudaGuideGradKernel
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
BilateralSliceCudaGuideGradKernel
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
guide_grad_data
,
output_grad_data
,
grid_data
,
guide_data
,
input_data
,
grid_sizes
,
has_offset
,
guide_count
,
output_chans
);
config
=
platform
::
getGpuLaunchConfig
(
input_count
,
ctx
,
512
);
config
=
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
input_count
);
BilateralSliceCudaInputGradKernel
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
BilateralSliceCudaInputGradKernel
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
output_grad_data
,
grid_data
,
guide_data
,
grid_sizes
,
has_offset
,
input_count
,
output_chans
);
}
...
...
paddle/fluid/operators/cumsum_op.cu
浏览文件 @
463c72c2
...
...
@@ -17,7 +17,7 @@ limitations under the License. */
#include <thrust/reverse.h>
#include <thrust/scan.h>
#include "paddle/fluid/operators/cum_op.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
using
Tensor
=
paddle
::
framework
::
Tensor
;
using
LoDTensor
=
paddle
::
framework
::
LoDTensor
;
...
...
paddle/fluid/operators/interpolate_op.cu
浏览文件 @
463c72c2
...
...
@@ -887,10 +887,10 @@ static void Interpolate1DCUDAFwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"linear"
==
interp_method
)
{
KeLinearInterpFw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeLinearInterpFw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_w
,
in_cw
,
output_data
,
out_w
,
n
,
out_cw
,
c
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
...
...
@@ -981,21 +981,22 @@ static void Interpolate2DCUDAFwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_chw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"nearest"
==
interp_method
)
{
KeNearestNeighborInterpFw
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeNearestNeighborInterpFw
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
else
if
(
"bilinear"
==
interp_method
)
{
KeBilinearInterpFw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeBilinearInterpFw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
}
else
if
(
"bicubic"
==
interp_method
)
{
KeBicubicInterpFw
<
T
><<<
config
.
blocks
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeBicubicInterpFw
<
T
><<<
config
.
block_per_grid
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
...
...
@@ -1097,10 +1098,10 @@ static void Interpolate3DCUDAFwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cdhw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"trilinear"
==
interp_method
)
{
KeTrilinearInterpFw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeTrilinearInterpFw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_d
,
in_h
,
in_w
,
n
,
in_cdhw
,
output_data
,
out_d
,
out_h
,
out_w
,
n
,
out_cdhw
,
c
,
ratio_d
,
ratio_h
,
ratio_w
,
align_corners
,
...
...
@@ -1176,10 +1177,10 @@ static void Interpolate1DCUDABwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"linear"
==
interp_method
)
{
KeLinearInterpBw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeLinearInterpBw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_w
,
in_cw
,
output_grad_data
,
out_w
,
n
,
out_cw
,
c
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
...
...
@@ -1267,22 +1268,23 @@ static void Interpolate2DCUDABwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_chw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"nearest"
==
interp_method
)
{
KeNearestNeighborInterpBw
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeNearestNeighborInterpBw
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_grad_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
else
if
(
"bilinear"
==
interp_method
)
{
KeBilinearInterpBw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeBilinearInterpBw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_grad_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
}
else
if
(
"bicubic"
==
interp_method
)
{
KeBicubicInterpBw
<
T
><<<
config
.
blocks
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeBicubicInterpBw
<
T
><<<
config
.
block_per_grid
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_grad_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
...
...
@@ -1378,10 +1380,10 @@ static void Interpolate3DCUDABwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cdhw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"trilinear"
==
interp_method
)
{
KeTrilinearInterpBw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeTrilinearInterpBw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_d
,
in_h
,
in_w
,
n
,
in_cdhw
,
output_grad_data
,
out_d
,
out_h
,
out_w
,
n
,
out_cdhw
,
c
,
ratio_d
,
ratio_h
,
ratio_w
,
align_corners
,
...
...
paddle/fluid/operators/interpolate_v2_op.cu
浏览文件 @
463c72c2
...
...
@@ -899,10 +899,10 @@ static void Interpolate1DCUDAFwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"linear"
==
interp_method
)
{
KeLinearInterpFw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeLinearInterpFw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_w
,
in_cw
,
output_data
,
out_w
,
n
,
out_cw
,
c
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
...
...
@@ -1018,21 +1018,22 @@ static void Interpolate2DCUDAFwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_chw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"nearest"
==
interp_method
)
{
KeNearestNeighborInterpFw
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeNearestNeighborInterpFw
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
else
if
(
"bilinear"
==
interp_method
)
{
KeBilinearInterpFw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeBilinearInterpFw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
}
else
if
(
"bicubic"
==
interp_method
)
{
KeBicubicInterpFw
<
T
><<<
config
.
blocks
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeBicubicInterpFw
<
T
><<<
config
.
block_per_grid
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
...
...
@@ -1167,10 +1168,10 @@ static void Interpolate3DCUDAFwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cdhw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"trilinear"
==
interp_method
)
{
KeTrilinearInterpFw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeTrilinearInterpFw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_data
,
in_d
,
in_h
,
in_w
,
n
,
in_cdhw
,
output_data
,
out_d
,
out_h
,
out_w
,
n
,
out_cdhw
,
c
,
ratio_d
,
ratio_h
,
ratio_w
,
align_corners
,
...
...
@@ -1259,10 +1260,10 @@ static void Interpolate1DCUDABwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"linear"
==
interp_method
)
{
KeLinearInterpBw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeLinearInterpBw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_w
,
in_cw
,
output_grad_data
,
out_w
,
n
,
out_cw
,
c
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
...
...
@@ -1376,22 +1377,23 @@ static void Interpolate2DCUDABwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_chw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"nearest"
==
interp_method
)
{
KeNearestNeighborInterpBw
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeNearestNeighborInterpBw
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_grad_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
else
if
(
"bilinear"
==
interp_method
)
{
KeBilinearInterpBw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeBilinearInterpBw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_grad_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
align_mode
,
data_layout
);
}
else
if
(
"bicubic"
==
interp_method
)
{
KeBicubicInterpBw
<
T
><<<
config
.
blocks
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
KeBicubicInterpBw
<
T
><<<
config
.
block_per_grid
,
512
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_h
,
in_w
,
n
,
in_chw
,
output_grad_data
,
out_h
,
out_w
,
n
,
out_chw
,
c
,
ratio_h
,
ratio_w
,
align_corners
,
data_layout
);
}
...
...
@@ -1520,10 +1522,10 @@ static void Interpolate3DCUDABwd(const framework::ExecutionContext& ctx,
int
pixelNum
=
n
*
out_cdhw
;
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
pixelNum
,
ctx
);
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
pixelNum
);
if
(
"trilinear"
==
interp_method
)
{
KeTrilinearInterpBw
<
T
><<<
config
.
block
s
,
config
.
threads
,
0
,
KeTrilinearInterpBw
<
T
><<<
config
.
block
_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
input_grad_data
,
in_d
,
in_h
,
in_w
,
n
,
in_cdhw
,
output_grad_data
,
out_d
,
out_h
,
out_w
,
n
,
out_cdhw
,
c
,
ratio_d
,
ratio_h
,
ratio_w
,
align_corners
,
...
...
paddle/fluid/operators/math/segment_pooling.cu
浏览文件 @
463c72c2
...
...
@@ -17,7 +17,7 @@ limitations under the License. */
#include "paddle/fluid/operators/math/math_function.h"
#include "paddle/fluid/operators/math/segment_pooling.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace
paddle
{
namespace
operators
{
...
...
paddle/fluid/operators/mish_op.cu
浏览文件 @
463c72c2
...
...
@@ -87,8 +87,9 @@ class MishCUDAKernel : public framework::OpKernel<T> {
const
int
numel
=
x
->
numel
();
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
numel
,
ctx
);
KeMishFw
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
platform
::
GpuLaunchConfig
config
=
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
numel
);
KeMishFw
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
x_data
,
out_data
,
numel
,
threshold
);
}
...
...
@@ -108,8 +109,9 @@ class MishFP32CUDAKernel : public framework::OpKernel<float> {
const
int
numel
=
x
->
numel
();
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
numel
,
ctx
);
KeMishFwFP32
<<<
config
.
blocks
,
config
.
threads
,
0
,
platform
::
GpuLaunchConfig
config
=
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
numel
);
KeMishFwFP32
<<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
x_data
,
out_data
,
numel
,
threshold
);
}
...
...
@@ -131,8 +133,9 @@ class MishGradCUDAKernel : public framework::OpKernel<T> {
const
int
numel
=
x
->
numel
();
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
numel
,
ctx
);
KeMishBw
<
T
><<<
config
.
blocks
,
config
.
threads
,
0
,
platform
::
GpuLaunchConfig
config
=
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
numel
);
KeMishBw
<
T
><<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
x_data
,
dout_data
,
dx_data
,
numel
,
threshold
);
}
...
...
@@ -154,8 +157,9 @@ class MishGradFP32CUDAKernel : public framework::OpKernel<float> {
const
int
numel
=
x
->
numel
();
platform
::
GpuLaunchConfig
config
=
platform
::
getGpuLaunchConfig
(
numel
,
ctx
);
KeMishBwFP32
<<<
config
.
blocks
,
config
.
threads
,
0
,
platform
::
GpuLaunchConfig
config
=
platform
::
GetGpuLaunchConfig1D
(
ctx
.
cuda_device_context
(),
numel
);
KeMishBwFP32
<<<
config
.
block_per_grid
,
config
.
thread_per_block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
x_data
,
dout_data
,
dx_data
,
numel
,
threshold
);
}
...
...
paddle/fluid/operators/mv_op.cu
浏览文件 @
463c72c2
...
...
@@ -13,7 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/fluid/operators/mv_op.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace
paddle
{
namespace
operators
{
...
...
paddle/fluid/operators/segment_pool_op.cu
浏览文件 @
463c72c2
...
...
@@ -15,7 +15,7 @@ limitations under the License. */
#include "paddle/fluid/operators/gather.cu.h"
#include "paddle/fluid/operators/segment_pool_op.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_CUDA_KERNEL
(
...
...
paddle/fluid/operators/stack_op.cu
浏览文件 @
463c72c2
...
...
@@ -16,7 +16,7 @@
#include <limits>
#include <vector>
#include "paddle/fluid/operators/stack_op.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace
plat
=
paddle
::
platform
;
namespace
ops
=
paddle
::
operators
;
...
...
paddle/fluid/operators/transpose_op.cu
浏览文件 @
463c72c2
...
...
@@ -20,7 +20,7 @@ limitations under the License. */
#include "paddle/fluid/operators/transpose_op.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/float16.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace
paddle
{
namespace
operators
{
...
...
paddle/fluid/operators/where_op.cu
浏览文件 @
463c72c2
...
...
@@ -13,7 +13,7 @@
// limitations under the License.
#include "paddle/fluid/operators/where_op.h"
#include "paddle/fluid/platform/gpu_launch_
param_
config.h"
#include "paddle/fluid/platform/gpu_launch_config.h"
namespace
platform
=
paddle
::
platform
;
...
...
paddle/fluid/platform/gpu_launch_config.h
100644 → 100755
浏览文件 @
463c72c2
/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
// Copyright (c) 2019 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.
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. */
// Used for compute gpu launch parameter
#pragma once
#i
nclude <algorithm>
#i
fdef PADDLE_WITH_CUDA
#include "paddle/fluid/platform/cuda_primitives.h"
#include <cuda_runtime.h>
#include <stddef.h>
#include <algorithm>
#include <string>
#include <vector>
namespace
paddle
{
namespace
platform
{
struct
GpuLaunchConfig
{
// Number of threads per block.
int
threads
;
// Number of blocks for GPU kernel launch.
int
blocks
;
inline
int
DivUp
(
int
a
,
int
b
)
{
return
(
a
+
b
-
1
)
/
b
;
}
GpuLaunchConfig
(
int
threads
,
int
blocks
)
:
threads
(
threads
),
blocks
(
blocks
)
{}
struct
GpuLaunchConfig
{
dim3
theory_thread_count
=
dim3
(
1
,
1
,
1
);
dim3
thread_per_block
=
dim3
(
1
,
1
,
1
);
dim3
block_per_grid
=
dim3
(
1
,
1
,
1
);
};
inline
GpuLaunchConfig
getGpuLaunchConfig
(
const
int
N
,
const
framework
::
ExecutionContext
&
ctx
,
int
max_threads
=
1024
)
{
int
threads
=
std
::
min
(
max_threads
,
ctx
.
cuda_device_context
().
GetMaxThreadsPerBlock
());
int
physical_thread_count
=
std
::
min
(
ctx
.
cuda_device_context
().
GetMaxPhysicalThreadCount
(),
N
);
int
blocks
=
std
::
min
((
physical_thread_count
+
threads
-
1
)
/
threads
,
ctx
.
cuda_device_context
().
GetSMCount
());
inline
GpuLaunchConfig
GetGpuLaunchConfig1D
(
const
platform
::
CUDADeviceContext
&
context
,
int
element_count
)
{
PADDLE_ENFORCE_GT
(
element_count
,
0
,
platform
::
errors
::
InvalidArgument
(
"element count should greater than 0,"
" but received value is %d."
,
element_count
));
const
int
theory_thread_count
=
element_count
;
// Get Max threads in all SM
int
max_pyhsical_threads
=
context
.
GetMaxPhysicalThreadCount
();
int
sm
=
context
.
GetSMCount
();
// Compute pyhsical threads we need, should small than max sm threads
const
int
physical_thread_count
=
std
::
min
(
max_pyhsical_threads
,
theory_thread_count
);
// Need get from device
const
int
thread_per_block
=
std
::
min
(
1024
,
context
.
GetMaxThreadsPerBlock
());
// Suppose block count small than factor * sm, factor is a experiments value.
int
factor
=
4
;
const
int
block_count
=
std
::
min
(
DivUp
(
physical_thread_count
,
thread_per_block
),
factor
*
sm
);
GpuLaunchConfig
config
(
threads
,
blocks
);
GpuLaunchConfig
config
;
config
.
theory_thread_count
.
x
=
theory_thread_count
;
config
.
thread_per_block
.
x
=
thread_per_block
;
config
.
block_per_grid
.
x
=
block_count
;
return
config
;
}
inline
GpuLaunchConfig
GetGpuLaunchConfig2D
(
const
platform
::
CUDADeviceContext
&
context
,
int
xdim
,
int
ydim
)
{
PADDLE_ENFORCE_GT
(
xdim
,
0
,
platform
::
errors
::
InvalidArgument
(
"x dim number should greater than 0,"
" but received value is:%d"
,
xdim
));
PADDLE_ENFORCE_GT
(
ydim
,
0
,
platform
::
errors
::
InvalidArgument
(
"y dim number should greater than 0,"
" but received value is:%d"
,
ydim
));
const
int
kThreadsPerBlock
=
256
;
int
block_cols
=
std
::
min
(
xdim
,
kThreadsPerBlock
);
int
block_rows
=
std
::
max
(
kThreadsPerBlock
/
block_cols
,
1
);
int
max_physical_threads
=
context
.
GetMaxPhysicalThreadCount
();
const
int
max_blocks
=
std
::
max
(
max_physical_threads
/
kThreadsPerBlock
,
1
);
GpuLaunchConfig
config
;
// Noticed, block size is not align to 32, if needed do it yourself.
config
.
theory_thread_count
=
dim3
(
xdim
,
ydim
,
1
);
config
.
thread_per_block
=
dim3
(
block_cols
,
block_rows
,
1
);
int
grid_x
=
std
::
min
(
DivUp
(
xdim
,
block_cols
),
max_blocks
);
int
grid_y
=
std
::
min
(
max_blocks
/
grid_x
,
std
::
max
(
ydim
/
block_rows
,
1
));
config
.
block_per_grid
=
dim3
(
grid_x
,
grid_y
,
1
);
return
config
;
}
// TODO(wangchaochaohu): 3D will add later
}
// namespace platform
}
// namespace paddle
#endif
paddle/fluid/platform/gpu_launch_param_config.h
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// Copyright (c) 2019 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.
// Used for compute gpu launch parameter
#pragma once
#ifdef PADDLE_WITH_CUDA
#include <cuda_runtime.h>
#include <stddef.h>
#include <algorithm>
#include <string>
#include <vector>
namespace
paddle
{
namespace
platform
{
inline
int
DivUp
(
int
a
,
int
b
)
{
return
(
a
+
b
-
1
)
/
b
;
}
struct
GpuLaunchParamConfig
{
dim3
theory_thread_count
=
dim3
(
0
,
0
,
0
);
dim3
thread_per_block
=
dim3
(
0
,
0
,
0
);
dim3
block_per_grid
=
dim3
(
0
,
0
,
0
);
};
inline
GpuLaunchParamConfig
GetGpuLaunchConfig1D
(
const
platform
::
CUDADeviceContext
&
context
,
int
element_count
)
{
PADDLE_ENFORCE_GT
(
element_count
,
0
,
platform
::
errors
::
InvalidArgument
(
"element count should greater than 0,"
" but received value is %d."
,
element_count
));
const
int
theory_thread_count
=
element_count
;
// Get Max threads in all SM
int
max_pyhsical_threads
=
context
.
GetMaxPhysicalThreadCount
();
int
sm
=
context
.
GetSMCount
();
// Compute pyhsical threads we need, should small than max sm threads
const
int
physical_thread_count
=
std
::
min
(
max_pyhsical_threads
,
theory_thread_count
);
// Need get from device
const
int
thread_per_block
=
std
::
min
(
1024
,
context
.
GetMaxThreadsPerBlock
());
// Suppose block count small than factor * sm, factor is a experiments value.
int
factor
=
4
;
const
int
block_count
=
std
::
min
(
DivUp
(
physical_thread_count
,
thread_per_block
),
factor
*
sm
);
GpuLaunchParamConfig
config
;
config
.
theory_thread_count
.
x
=
theory_thread_count
;
config
.
thread_per_block
.
x
=
thread_per_block
;
config
.
block_per_grid
.
x
=
block_count
;
return
config
;
}
inline
GpuLaunchParamConfig
GetGpuLaunchConfig2D
(
const
platform
::
CUDADeviceContext
&
context
,
int
xdim
,
int
ydim
)
{
PADDLE_ENFORCE_GT
(
xdim
,
0
,
platform
::
errors
::
InvalidArgument
(
"x dim number should greater than 0,"
" but received value is:%d"
,
xdim
));
PADDLE_ENFORCE_GT
(
ydim
,
0
,
platform
::
errors
::
InvalidArgument
(
"y dim number should greater than 0,"
" but received value is:%d"
,
ydim
));
const
int
kThreadsPerBlock
=
256
;
int
block_cols
=
std
::
min
(
xdim
,
kThreadsPerBlock
);
int
block_rows
=
std
::
max
(
kThreadsPerBlock
/
block_cols
,
1
);
int
max_physical_threads
=
context
.
GetMaxPhysicalThreadCount
();
const
int
max_blocks
=
std
::
max
(
max_physical_threads
/
kThreadsPerBlock
,
1
);
GpuLaunchParamConfig
config
;
// Noticed, block size is not align to 32, if needed do it yourself.
config
.
theory_thread_count
=
dim3
(
xdim
,
ydim
,
1
);
config
.
thread_per_block
=
dim3
(
block_cols
,
block_rows
,
1
);
int
grid_x
=
std
::
min
(
DivUp
(
xdim
,
block_cols
),
max_blocks
);
int
grid_y
=
std
::
min
(
max_blocks
/
grid_x
,
std
::
max
(
ydim
/
block_rows
,
1
));
config
.
block_per_grid
=
dim3
(
grid_x
,
grid_y
,
1
);
return
config
;
}
// 3D will add later
}
// namespace platform
}
// namespace paddle
#endif
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