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体验新版 GitCode,发现更多精彩内容 >>
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4acc87be
编写于
4月 01, 2021
作者:
Z
Zhang Zheng
提交者:
GitHub
4月 01, 2021
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电子邮件补丁
差异文件
Optimize the perf of SameDimsAdd CUDA Kernel (#31872)
上级
980227f9
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
125 addition
and
55 deletion
+125
-55
paddle/fluid/operators/elementwise/elementwise_add_op.cu
paddle/fluid/operators/elementwise/elementwise_add_op.cu
+62
-26
paddle/fluid/operators/elementwise/elementwise_div_op.cu
paddle/fluid/operators/elementwise/elementwise_div_op.cu
+1
-1
paddle/fluid/operators/elementwise/elementwise_mul_op.cu
paddle/fluid/operators/elementwise/elementwise_mul_op.cu
+1
-1
paddle/fluid/operators/elementwise/elementwise_op_function.cu.h
.../fluid/operators/elementwise/elementwise_op_function.cu.h
+60
-26
paddle/fluid/operators/elementwise/elementwise_sub_op.cu
paddle/fluid/operators/elementwise/elementwise_sub_op.cu
+1
-1
未找到文件。
paddle/fluid/operators/elementwise/elementwise_add_op.cu
浏览文件 @
4acc87be
...
...
@@ -24,7 +24,10 @@ namespace paddle {
namespace
operators
{
template
<
typename
T
>
struct
SameDimsElemwiseAdd
<
platform
::
CUDADeviceContext
,
T
>
{
struct
SameDimsElemwiseAdd
<
platform
::
CUDADeviceContext
,
T
,
typename
std
::
enable_if
<!
std
::
is_same
<
T
,
platform
::
float16
>::
value
&&
!
std
::
is_same
<
T
,
float
>::
value
>::
type
>
{
void
operator
()(
const
framework
::
ExecutionContext
&
ctx
,
const
framework
::
Tensor
*
x
,
const
framework
::
Tensor
*
y
,
framework
::
Tensor
*
z
)
{
...
...
@@ -36,38 +39,68 @@ struct SameDimsElemwiseAdd<platform::CUDADeviceContext, T> {
}
};
template
<
>
struct
SameDimsElemwiseAdd
<
platform
::
CUDADeviceContext
,
platform
::
float16
>
{
template
<
typename
T
>
struct
SameDimsElemwiseAdd
<
platform
::
CUDADeviceContext
,
T
,
typename
std
::
enable_if
<
std
::
is_same
<
T
,
platform
::
float16
>::
value
||
std
::
is_same
<
T
,
float
>::
value
>::
type
>
{
void
operator
()(
const
framework
::
ExecutionContext
&
ctx
,
const
framework
::
Tensor
*
x
,
const
framework
::
Tensor
*
y
,
framework
::
Tensor
*
z
)
{
auto
size
=
x
->
numel
();
dim3
grid_size
=
dim3
(((
size
+
1
)
/
2
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
int
vec_size
=
sizeof
(
float4
)
/
sizeof
(
T
);
dim3
grid_size
=
dim3
(((
size
+
vec_size
-
1
)
/
vec_size
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
dim3
block_size
=
dim3
(
PADDLE_CUDA_THREAD_SIZE
,
1
);
const
half
*
x2
=
reinterpret_cast
<
const
half
*>
(
x
->
data
<
platform
::
float16
>
());
const
half
*
y2
=
reinterpret_cast
<
const
half
*>
(
y
->
data
<
platform
::
float16
>
());
half
*
z2
=
reinterpret_cast
<
half
*>
(
z
->
data
<
platform
::
float16
>
());
SameDimsElemwiseAddCUDAKernel
<<<
grid_size
,
block_size
,
0
,
ctx
.
template
device_context
<
platform
::
CUDADeviceContext
>().
stream
()
>>>
(
x2
,
y2
,
z2
,
size
);
if
(
std
::
is_same
<
T
,
float
>::
value
)
{
SameDimsElemwiseAddCUDAKernel
<<<
grid_size
,
block_size
,
0
,
ctx
.
template
device_context
<
platform
::
CUDADeviceContext
>()
.
stream
()
>>>
(
x
->
data
<
float
>
(),
y
->
data
<
float
>
(),
z
->
data
<
float
>
(),
size
);
}
else
{
const
half
*
x2
=
reinterpret_cast
<
const
half
*>
(
x
->
data
<
platform
::
float16
>
());
const
half
*
y2
=
reinterpret_cast
<
const
half
*>
(
y
->
data
<
platform
::
float16
>
());
half
*
z2
=
reinterpret_cast
<
half
*>
(
z
->
data
<
platform
::
float16
>
());
SameDimsElemwiseAddCUDAKernel
<<<
grid_size
,
block_size
,
0
,
ctx
.
template
device_context
<
platform
::
CUDADeviceContext
>()
.
stream
()
>>>
(
x2
,
y2
,
z2
,
size
);
}
}
};
template
<
typename
T
>
static
__global__
void
SimpleElemwiseAddGradCUDAKernel
(
const
T
*
dout
,
int64_t
size
,
T
*
dx
,
T
*
dy
)
{
int
col
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
static
__global__
void
SimpleElemwiseAddGradCUDAKernel
(
const
T
*
__restrict__
dout
,
int
size
,
int
vec_size
,
T
*
dx
,
T
*
dy
)
{
int
tid
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
int
stride
=
gridDim
.
x
*
blockDim
.
x
;
int
loop
=
size
/
vec_size
;
int
remainder
=
size
%
vec_size
;
const
float4
*
dout_vec
=
reinterpret_cast
<
const
float4
*>
(
dout
);
float4
*
dx_vec
=
reinterpret_cast
<
float4
*>
(
dx
);
float4
*
dy_vec
=
reinterpret_cast
<
float4
*>
(
dy
);
float4
tmp_loop
;
for
(
int
i
=
tid
;
i
<
loop
;
i
+=
stride
)
{
tmp_loop
=
dout_vec
[
i
];
dx_vec
[
i
]
=
tmp_loop
;
dy_vec
[
i
]
=
tmp_loop
;
}
while
(
col
<
size
)
{
dx
[
col
]
=
dout
[
col
];
dy
[
col
]
=
dout
[
col
];
col
+=
blockDim
.
x
*
gridDim
.
x
;
if
(
tid
==
loop
&&
remainder
!=
0
)
{
T
tmp_rem
;
while
(
remainder
)
{
int
idx
=
size
-
remainder
;
remainder
--
;
tmp_rem
=
dout
[
idx
];
dx
[
idx
]
=
tmp_rem
;
dy
[
idx
]
=
tmp_rem
;
}
}
}
...
...
@@ -79,14 +112,17 @@ elementwise_add_grad(const framework::ExecutionContext& ctx,
const
framework
::
Tensor
*
out
,
const
framework
::
Tensor
*
dout
,
framework
::
Tensor
*
dx
,
framework
::
Tensor
*
dy
)
{
dim3
block_size
=
dim3
(
PADDLE_CUDA_THREAD_SIZE
,
1
);
auto
size
=
x
->
numel
();
int
vec_size
=
max
(
static_cast
<
int
>
(
sizeof
(
float4
)
/
sizeof
(
T
)),
1
);
dim3
block_size
=
dim3
(
PADDLE_CUDA_THREAD_SIZE
,
1
);
dim3
grid_size
=
dim3
((
size
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
dim3
(((
size
+
vec_size
-
1
)
/
vec_size
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
SimpleElemwiseAddGradCUDAKernel
<
T
><<<
grid_size
,
block_size
,
0
,
ctx
.
template
device_context
<
plat
::
CUDADeviceContext
>().
stream
()
>>>
(
dout
->
data
<
T
>
(),
size
,
dx
->
mutable_data
<
T
>
(
ctx
.
GetPlace
()),
dout
->
data
<
T
>
(),
size
,
vec_size
,
dx
->
mutable_data
<
T
>
(
ctx
.
GetPlace
()),
dy
->
mutable_data
<
T
>
(
ctx
.
GetPlace
()));
}
...
...
paddle/fluid/operators/elementwise/elementwise_div_op.cu
浏览文件 @
4acc87be
...
...
@@ -43,7 +43,7 @@ struct SameDimsElemwiseDiv<platform::CUDADeviceContext, platform::float16> {
const
framework
::
Tensor
*
x
,
const
framework
::
Tensor
*
y
,
framework
::
Tensor
*
z
)
{
auto
size
=
x
->
numel
();
dim3
grid_size
=
dim3
(((
size
+
1
)
/
2
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
dim3
grid_size
=
dim3
(((
size
+
7
)
/
8
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
dim3
block_size
=
dim3
(
PADDLE_CUDA_THREAD_SIZE
,
1
);
...
...
paddle/fluid/operators/elementwise/elementwise_mul_op.cu
浏览文件 @
4acc87be
...
...
@@ -43,7 +43,7 @@ struct SameDimsElemwiseMul<platform::CUDADeviceContext, platform::float16> {
const
framework
::
Tensor
*
x
,
const
framework
::
Tensor
*
y
,
framework
::
Tensor
*
z
)
{
auto
size
=
x
->
numel
();
dim3
grid_size
=
dim3
(((
size
+
1
)
/
2
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
dim3
grid_size
=
dim3
(((
size
+
7
)
/
8
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
dim3
block_size
=
dim3
(
PADDLE_CUDA_THREAD_SIZE
,
1
);
...
...
paddle/fluid/operators/elementwise/elementwise_op_function.cu.h
浏览文件 @
4acc87be
...
...
@@ -18,7 +18,11 @@ limitations under the License. */
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/platform/float16.h"
#include "paddle/fluid/platform/hostdevice.h"
#ifdef __HIPCC__
#define PADDLE_CUDA_THREAD_SIZE 256
#else
#define PADDLE_CUDA_THREAD_SIZE 512
#endif
#ifdef PADDLE_WITH_CUDA
#include <cuda.h>
...
...
@@ -158,32 +162,62 @@ inline DEVICE half2 half2_div(const half2& a, const half2& b) {
#endif
}
#define DEFINE_SIMPLE_CUDA_BINARY_KERNEL(Func, expr, FP16Function) \
template <typename T> \
__global__ void SameDimsElemwise##Func##CUDAKernel(const T* x, const T* y, \
T* z, int64_t size) { \
int col = blockIdx.x * blockDim.x + threadIdx.x; \
while (col < size) { \
z[col] = x[col] expr y[col]; \
col += blockDim.x * gridDim.x; \
} \
} \
template <> \
inline __global__ void SameDimsElemwise##Func##CUDAKernel<half>( \
const half* x, const half* y, half* z, int64_t size) { \
int start = threadIdx.x + blockDim.x * blockIdx.x; \
int stride = blockDim.x * gridDim.x; \
int n2 = size / 2; \
const half2* x2 = reinterpret_cast<const half2*>(x); \
const half2* y2 = reinterpret_cast<const half2*>(y); \
half2* z2 = reinterpret_cast<half2*>(z); \
for (int i = start; i < n2; i += stride) { \
z2[i] = FP16Function(x2[i], y2[i]); \
} \
if (start == 0 && (size % 2)) { \
z[size - 1] = __float2half(__half2float(x[size - 1]) \
expr __half2float(y[size - 1])); \
} \
#define DEFINE_SIMPLE_CUDA_BINARY_KERNEL(Func, expr, FP16Function) \
inline __global__ void SameDimsElemwise##Func##CUDAKernel( \
const float* __restrict__ x, const float* __restrict__ y, float* z, \
int64_t size) { \
int tid = blockIdx.x * blockDim.x + threadIdx.x; \
int stride = gridDim.x * blockDim.x; \
int loop = size / 4; \
int remainder = size % 4; \
const float4* x_vec = reinterpret_cast<const float4*>(x); \
const float4* y_vec = reinterpret_cast<const float4*>(y); \
float4* z_vec = reinterpret_cast<float4*>(z); \
float4 x_f4, y_f4; \
for (int i = tid; i < loop; i += stride) { \
x_f4 = x_vec[i]; \
y_f4 = y_vec[i]; \
z_vec[i] = make_float4(x_f4.x expr y_f4.x, x_f4.y expr y_f4.y, \
x_f4.z expr y_f4.z, x_f4.w expr y_f4.w); \
} \
if (tid == loop && remainder != 0) { \
while (remainder) { \
int idx = size - remainder; \
remainder--; \
z[idx] = x[idx] expr y[idx]; \
} \
} \
} \
inline __global__ void SameDimsElemwise##Func##CUDAKernel( \
const half* __restrict__ x, const half* __restrict__ y, half* z, \
int64_t size) { \
int tid = blockIdx.x * blockDim.x + threadIdx.x; \
int stride = gridDim.x * blockDim.x; \
int loop = size / 8; \
int remainder = size % 8; \
const float4* x_vec = reinterpret_cast<const float4*>(x); \
const float4* y_vec = reinterpret_cast<const float4*>(y); \
float4* z_vec = reinterpret_cast<float4*>(z); \
float4 x_h8, y_h8, z_h8; \
for (int i = tid; i < loop; i += stride) { \
x_h8 = x_vec[i]; \
y_h8 = y_vec[i]; \
half2* x_h2 = reinterpret_cast<half2*>(&x_h8); \
half2* y_h2 = reinterpret_cast<half2*>(&y_h8); \
half2* z_h2 = reinterpret_cast<half2*>(&z_h8); \
z_h2[0] = FP16Function(x_h2[0], y_h2[0]); \
z_h2[1] = FP16Function(x_h2[1], y_h2[1]); \
z_h2[2] = FP16Function(x_h2[2], y_h2[2]); \
z_h2[3] = FP16Function(x_h2[3], y_h2[3]); \
z_vec[i] = z_h8; \
} \
if (tid == loop && remainder != 0) { \
while (remainder) { \
int idx = size - remainder; \
remainder--; \
z[idx] = __float2half(__half2float(x[idx]) expr __half2float(y[idx])); \
} \
} \
}
DEFINE_SIMPLE_CUDA_BINARY_KERNEL
(
Add
,
+
,
half2_add
)
DEFINE_SIMPLE_CUDA_BINARY_KERNEL
(
Sub
,
-
,
half2_sub
)
...
...
paddle/fluid/operators/elementwise/elementwise_sub_op.cu
浏览文件 @
4acc87be
...
...
@@ -43,7 +43,7 @@ struct SameDimsElemwiseSub<platform::CUDADeviceContext, platform::float16> {
const
framework
::
Tensor
*
x
,
const
framework
::
Tensor
*
y
,
framework
::
Tensor
*
z
)
{
auto
size
=
x
->
numel
();
dim3
grid_size
=
dim3
(((
size
+
1
)
/
2
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
dim3
grid_size
=
dim3
(((
size
+
7
)
/
8
+
PADDLE_CUDA_THREAD_SIZE
-
1
)
/
PADDLE_CUDA_THREAD_SIZE
,
1
);
dim3
block_size
=
dim3
(
PADDLE_CUDA_THREAD_SIZE
,
1
);
...
...
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