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7ed457e7
编写于
4月 10, 2018
作者:
K
Kexin Zhao
提交者:
qingqing01
4月 11, 2018
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差异文件
Fix cuda 7.5 error with cublas GEMM (#9811)
* fix gemm error for cuda 7.5 * fix version number
上级
20f202ac
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
37 addition
and
12 deletion
+37
-12
paddle/fluid/operators/math/math_function.cu
paddle/fluid/operators/math/math_function.cu
+17
-4
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
+16
-8
未找到文件。
paddle/fluid/operators/math/math_function.cu
浏览文件 @
7ed457e7
...
...
@@ -39,13 +39,14 @@ void gemm<platform::CUDADeviceContext, float16>(
cublasOperation_t
cuTransB
=
(
transB
==
CblasNoTrans
)
?
CUBLAS_OP_N
:
CUBLAS_OP_T
;
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 fp16 gemm requires GPU compute capability >= 53"
);
#if CUDA_VERSION >= 8000
float
h_alpha
=
static_cast
<
float
>
(
alpha
);
float
h_beta
=
static_cast
<
float
>
(
beta
);
cublasGemmAlgo_t
algo
=
CUBLAS_GEMM_DFALT
;
#if CUDA_VERSION >= 9000
if
(
context
.
GetComputeCapability
()
>=
70
)
{
...
...
@@ -56,7 +57,7 @@ void gemm<platform::CUDADeviceContext, float16>(
PADDLE_ENFORCE
(
platform
::
dynload
::
cublasSetMathMode
(
context
.
cublas_handle
(),
CUBLAS_DEFAULT_MATH
));
}
#endif
#endif
// CUDA_VERSION >= 9000
// cublasHgemm does true FP16 computation which is slow for non-Volta
// GPUs. So use cublasGemmEx instead which does pesudo FP16 computation:
...
...
@@ -66,6 +67,18 @@ void gemm<platform::CUDADeviceContext, float16>(
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
));
#else
// CUDA 7.5 does not support cublasGemmEx, hence we fall back to use hgemm
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
);
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
));
#endif // CUDA_VERSION >= 8000
}
template
<
>
...
...
paddle/fluid/platform/dynload/cublas.cc
浏览文件 @
7ed457e7
...
...
@@ -28,6 +28,10 @@ CUBLAS_BLAS_ROUTINE_EACH(DEFINE_WRAP);
CUBLAS_BLAS_ROUTINE_EACH_R2
(
DEFINE_WRAP
);
#endif
#ifdef CUBLAS_BLAS_ROUTINE_EACH_R3
CUBLAS_BLAS_ROUTINE_EACH_R3
(
DEFINE_WRAP
);
#endif
}
// namespace dynload
}
// namespace platform
}
// namespace paddle
paddle/fluid/platform/dynload/cublas.h
浏览文件 @
7ed457e7
...
...
@@ -71,7 +71,6 @@ extern void *cublas_dso_handle;
__macro(cublasDgemm_v2); \
__macro(cublasHgemm); \
__macro(cublasSgemmEx); \
__macro(cublasGemmEx); \
__macro(cublasSgeam_v2); \
__macro(cublasDgeam_v2); \
__macro(cublasCreate_v2); \
...
...
@@ -83,11 +82,6 @@ extern void *cublas_dso_handle;
__macro(cublasDgemmBatched); \
__macro(cublasCgemmBatched); \
__macro(cublasZgemmBatched); \
__macro(cublasSgemmStridedBatched); \
__macro(cublasDgemmStridedBatched); \
__macro(cublasCgemmStridedBatched); \
__macro(cublasZgemmStridedBatched); \
__macro(cublasHgemmStridedBatched); \
__macro(cublasSgetrfBatched); \
__macro(cublasSgetriBatched); \
__macro(cublasDgetrfBatched); \
...
...
@@ -95,10 +89,24 @@ extern void *cublas_dso_handle;
CUBLAS_BLAS_ROUTINE_EACH
(
DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
)
// APIs available after CUDA 8.0
#if CUDA_VERSION >= 8000
#define CUBLAS_BLAS_ROUTINE_EACH_R2(__macro) \
__macro(cublasGemmEx); \
__macro(cublasSgemmStridedBatched); \
__macro(cublasDgemmStridedBatched); \
__macro(cublasCgemmStridedBatched); \
__macro(cublasZgemmStridedBatched); \
__macro(cublasHgemmStridedBatched);
CUBLAS_BLAS_ROUTINE_EACH_R2
(
DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
)
#endif
// 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
)
#define CUBLAS_BLAS_ROUTINE_EACH_R3(__macro) __macro(cublasSetMathMode);
CUBLAS_BLAS_ROUTINE_EACH_R3
(
DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
)
#endif
#undef DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP
...
...
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