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体验新版 GitCode,发现更多精彩内容 >>
提交
d00bd9eb
编写于
4月 06, 2018
作者:
K
Kexin Zhao
提交者:
Yi Wang
4月 06, 2018
浏览文件
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差异文件
Update the cuda API and enable tensor core for GEMM (#9622)
* change from hgemm to gemmEx * fix cpplint
上级
517f6195
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
39 addition
and
12 deletion
+39
-12
paddle/fluid/operators/math/math_function.cu
paddle/fluid/operators/math/math_function.cu
+24
-9
paddle/fluid/platform/dynload/cublas.cc
paddle/fluid/platform/dynload/cublas.cc
+4
-0
paddle/fluid/platform/dynload/cublas.h
paddle/fluid/platform/dynload/cublas.h
+11
-3
未找到文件。
paddle/fluid/operators/math/math_function.cu
浏览文件 @
d00bd9eb
...
...
@@ -39,18 +39,33 @@ void gemm<platform::CUDADeviceContext, float16>(
cublasOperation_t
cuTransB
=
(
transB
==
CblasNoTrans
)
?
CUBLAS_OP_N
:
CUBLAS_OP_T
;
const
half
h_alpha
=
static_cast
<
const
half
>
(
alpha
);
const
half
h_beta
=
static_cast
<
const
half
>
(
beta
);
const
half
*
h_A
=
reinterpret_cast
<
const
half
*>
(
A
);
const
half
*
h_B
=
reinterpret_cast
<
const
half
*>
(
B
);
half
*
h_C
=
reinterpret_cast
<
half
*>
(
C
);
float
h_alpha
=
static_cast
<
float
>
(
alpha
);
float
h_beta
=
static_cast
<
float
>
(
beta
);
// TODO(kexinzhao): add processing code for compute capability < 53 case
PADDLE_ENFORCE_GE
(
context
.
GetComputeCapability
(),
53
,
"cublas Hgemm requires GPU compute capability >= 53"
);
PADDLE_ENFORCE
(
platform
::
dynload
::
cublasHgemm
(
context
.
cublas_handle
(),
cuTransB
,
cuTransA
,
N
,
M
,
K
,
&
h_alpha
,
h_B
,
ldb
,
h_A
,
lda
,
&
h_beta
,
h_C
,
N
));
"cublas fp16 gemm requires GPU compute capability >= 53"
);
cublasGemmAlgo_t
algo
=
CUBLAS_GEMM_DFALT
;
#if CUDA_VERSION >= 9000
if
(
context
.
GetComputeCapability
()
>=
70
)
{
PADDLE_ENFORCE
(
platform
::
dynload
::
cublasSetMathMode
(
context
.
cublas_handle
(),
CUBLAS_TENSOR_OP_MATH
));
algo
=
CUBLAS_GEMM_DFALT_TENSOR_OP
;
}
else
{
PADDLE_ENFORCE
(
platform
::
dynload
::
cublasSetMathMode
(
context
.
cublas_handle
(),
CUBLAS_DEFAULT_MATH
));
}
#endif
// cublasHgemm does true FP16 computation which is slow for non-Volta
// GPUs. So use cublasGemmEx instead which does pesudo FP16 computation:
// input/output in fp16, computation in fp32, which can also be accelerated
// using tensor cores in volta GPUs.
PADDLE_ENFORCE
(
platform
::
dynload
::
cublasGemmEx
(
context
.
cublas_handle
(),
cuTransB
,
cuTransA
,
N
,
M
,
K
,
&
h_alpha
,
B
,
CUDA_R_16F
,
ldb
,
A
,
CUDA_R_16F
,
lda
,
&
h_beta
,
C
,
CUDA_R_16F
,
N
,
CUDA_R_32F
,
algo
));
}
template
<
>
...
...
paddle/fluid/platform/dynload/cublas.cc
浏览文件 @
d00bd9eb
...
...
@@ -24,6 +24,10 @@ void *cublas_dso_handle = nullptr;
CUBLAS_BLAS_ROUTINE_EACH
(
DEFINE_WRAP
);
#ifdef CUBLAS_BLAS_ROUTINE_EACH_R2
CUBLAS_BLAS_ROUTINE_EACH_R2
(
DEFINE_WRAP
);
#endif
}
// namespace dynload
}
// namespace platform
}
// namespace paddle
paddle/fluid/platform/dynload/cublas.h
浏览文件 @
d00bd9eb
...
...
@@ -15,8 +15,9 @@ limitations under the License. */
#pragma once
#include <cublas_v2.h>
#include <cuda.h>
#include <dlfcn.h>
#include <mutex>
#include <mutex>
// NOLINT
#include "paddle/fluid/platform/dynload/dynamic_loader.h"
namespace
paddle
{
...
...
@@ -70,6 +71,7 @@ extern void *cublas_dso_handle;
__macro(cublasDgemm_v2); \
__macro(cublasHgemm); \
__macro(cublasSgemmEx); \
__macro(cublasGemmEx); \
__macro(cublasSgeam_v2); \
__macro(cublasDgeam_v2); \
__macro(cublasCreate_v2); \
...
...
@@ -89,9 +91,15 @@ extern void *cublas_dso_handle;
__macro(cublasSgetrfBatched); \
__macro(cublasSgetriBatched); \
__macro(cublasDgetrfBatched); \
__macro(cublasDgetriBatched)
__macro(cublasDgetriBatched)
;
CUBLAS_BLAS_ROUTINE_EACH
(
DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
);
CUBLAS_BLAS_ROUTINE_EACH
(
DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
)
// APIs available after CUDA 9.0
#if CUDA_VERSION >= 9000
#define CUBLAS_BLAS_ROUTINE_EACH_R2(__macro) __macro(cublasSetMathMode);
CUBLAS_BLAS_ROUTINE_EACH_R2
(
DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
)
#endif
#undef DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
}
// namespace dynload
...
...
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