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体验新版 GitCode,发现更多精彩内容 >>
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提交
39ac9e39
编写于
7月 30, 2018
作者:
D
dzhwinter
提交者:
GitHub
7月 30, 2018
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
float16 type support enhance (#12181)
* cherry picked * "cherry picked platform" * "add comment" * "fix ci"
上级
19ef4bab
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
334 addition
and
7 deletion
+334
-7
paddle/fluid/platform/CMakeLists.txt
paddle/fluid/platform/CMakeLists.txt
+4
-0
paddle/fluid/platform/cuda_device_function.h
paddle/fluid/platform/cuda_device_function.h
+21
-0
paddle/fluid/platform/cuda_helper_test.cu
paddle/fluid/platform/cuda_helper_test.cu
+118
-0
paddle/fluid/platform/cuda_primitives.h
paddle/fluid/platform/cuda_primitives.h
+69
-6
paddle/fluid/platform/float16.h
paddle/fluid/platform/float16.h
+27
-0
paddle/fluid/platform/float16_test.cc
paddle/fluid/platform/float16_test.cc
+26
-0
paddle/fluid/platform/float16_test.cu
paddle/fluid/platform/float16_test.cu
+69
-1
未找到文件。
paddle/fluid/platform/CMakeLists.txt
浏览文件 @
39ac9e39
...
@@ -60,3 +60,7 @@ cc_test(profiler_test SRCS profiler_test.cc DEPS profiler)
...
@@ -60,3 +60,7 @@ cc_test(profiler_test SRCS profiler_test.cc DEPS profiler)
nv_test
(
float16_gpu_test SRCS float16_test.cu DEPS lod_tensor
)
nv_test
(
float16_gpu_test SRCS float16_test.cu DEPS lod_tensor
)
cc_test
(
float16_test SRCS float16_test.cc DEPS lod_tensor
)
cc_test
(
float16_test SRCS float16_test.cc DEPS lod_tensor
)
IF
(
WITH_GPU
)
nv_test
(
cuda_helper_test SRCS cuda_helper_test.cu
)
ENDIF
()
paddle/fluid/platform/cuda_device_function.h
浏览文件 @
39ac9e39
...
@@ -14,6 +14,10 @@ limitations under the License. */
...
@@ -14,6 +14,10 @@ limitations under the License. */
#pragma once
#pragma once
#include <cuda.h>
#include <cuda.h>
// NOTE(): support float16 to half in header file.
#define PADDLE_CUDA_FP16
#include <cuda_fp16.h>
#include "paddle/fluid/platform/float16.h"
namespace
paddle
{
namespace
paddle
{
namespace
platform
{
namespace
platform
{
...
@@ -36,6 +40,18 @@ __forceinline__ __device__ T CudaShuffleDownSync(unsigned mask, T val,
...
@@ -36,6 +40,18 @@ __forceinline__ __device__ T CudaShuffleDownSync(unsigned mask, T val,
#endif
#endif
}
}
// CUDA 9.0 have native compatible float16 shfl_down
#if CUDA_VERSION < 9000
template
<
>
__forceinline__
__device__
float16
CudaShuffleDownSync
(
unsigned
mask
,
float16
val
,
int
delta
,
int
width
)
{
half
tmp
=
static_cast
<
half
>
(
val
);
__shfl_down
(
tmp
,
static_cast
<
unsigned
>
(
delta
),
width
);
return
float16
(
tmp
);
}
#endif
template
<
typename
T
>
template
<
typename
T
>
__forceinline__
__device__
T
CudaShuffleSync
(
unsigned
mask
,
T
val
,
int
src_line
,
__forceinline__
__device__
T
CudaShuffleSync
(
unsigned
mask
,
T
val
,
int
src_line
,
int
width
=
32
)
{
int
width
=
32
)
{
...
@@ -46,6 +62,11 @@ __forceinline__ __device__ T CudaShuffleSync(unsigned mask, T val, int src_line,
...
@@ -46,6 +62,11 @@ __forceinline__ __device__ T CudaShuffleSync(unsigned mask, T val, int src_line,
#endif
#endif
}
}
template
<
typename
T
>
HOSTDEVICE
T
Infinity
()
{
return
INFINITY
;
}
template
<
typename
T
>
template
<
typename
T
>
__device__
T
reduceSum
(
T
val
,
int
tid
,
int
len
)
{
__device__
T
reduceSum
(
T
val
,
int
tid
,
int
len
)
{
// NOTE(zcd): The warp size should be taken from the
// NOTE(zcd): The warp size should be taken from the
...
...
paddle/fluid/platform/cuda_helper_test.cu
0 → 100644
浏览文件 @
39ac9e39
// Copyright (c) 2018 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.
#include <gtest/gtest.h>
#include <bitset>
#include <iostream>
#include <random>
#define PADDLE_CUDA_FP16
#include "paddle/fluid/platform/cuda_device_function.h"
#include "paddle/fluid/platform/cuda_primitives.h"
#include "paddle/fluid/platform/float16.h"
using
paddle
::
platform
::
PADDLE_CUDA_NUM_THREADS
;
using
paddle
::
platform
::
float16
;
#define CUDA_ATOMIC_KERNEL(op, T) \
__global__ void op##Kernel(const T* data_a, T* data_b, size_t num) { \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < num; \
i += blockDim.x * gridDim.x) { \
paddle::platform::CudaAtomic##op(&data_b[i], data_a[i]); \
} \
}
template
<
typename
T
>
struct
AddFunctor
{
T
operator
()(
const
T
&
a
,
const
T
&
b
)
{
return
a
+
b
;
}
};
template
<
typename
T
>
struct
SubFunctor
{
T
operator
()(
const
T
&
a
,
const
T
&
b
)
{
return
a
-
b
;
}
};
// NOTE(dzhwinter): the float16 add has small underflow/overflow
// so we use EXPECT_NEAR to check the result.
#define ARITHMETIC_KERNEL_LAUNCH(op, T) \
void Test##T##op(size_t num) { \
T *in1, *in2, *out; \
T *d_in1, *d_in2; \
size_t size = sizeof(T) * num; \
cudaMalloc(reinterpret_cast<void**>(&d_in1), size); \
cudaMalloc(reinterpret_cast<void**>(&d_in2), size); \
in1 = reinterpret_cast<T*>(malloc(size)); \
in2 = reinterpret_cast<T*>(malloc(size)); \
out = reinterpret_cast<T*>(malloc(size)); \
std::minstd_rand engine; \
std::uniform_real_distribution<double> dist(0.0, 1.0); \
for (size_t i = 0; i < num; ++i) { \
in1[i] = static_cast<T>(dist(engine)); \
in2[i] = static_cast<T>(dist(engine)); \
} \
cudaMemcpy(d_in1, in1, size, cudaMemcpyHostToDevice); \
cudaMemcpy(d_in2, in2, size, cudaMemcpyHostToDevice); \
op##Kernel<<<1, PADDLE_CUDA_NUM_THREADS>>>(d_in1, d_in2, num); \
cudaDeviceSynchronize(); \
cudaMemcpy(out, d_in2, size, cudaMemcpyDeviceToHost); \
cudaDeviceSynchronize(); \
for (size_t i = 0; i < num; ++i) { \
EXPECT_NEAR(static_cast<float>(out[i]), \
static_cast<float>(op##Functor<T>()(in1[i], in2[i])), \
0.001); \
} \
free(in1); \
free(in2); \
free(out); \
cudaFree(d_in1); \
cudaFree(d_in2); \
}
CUDA_ATOMIC_KERNEL
(
Add
,
float
);
CUDA_ATOMIC_KERNEL
(
Add
,
double
);
CUDA_ATOMIC_KERNEL
(
Add
,
float16
);
ARITHMETIC_KERNEL_LAUNCH
(
Add
,
float
);
ARITHMETIC_KERNEL_LAUNCH
(
Add
,
double
);
ARITHMETIC_KERNEL_LAUNCH
(
Add
,
float16
);
namespace
paddle
{
namespace
platform
{
USE_CUDA_ATOMIC
(
Sub
,
int
);
};
};
CUDA_ATOMIC_KERNEL
(
Sub
,
int
);
ARITHMETIC_KERNEL_LAUNCH
(
Sub
,
int
);
// cuda primitives
TEST
(
CudaAtomic
,
Add
)
{
TestfloatAdd
(
static_cast
<
size_t
>
(
10
));
TestfloatAdd
(
static_cast
<
size_t
>
(
1024
*
1024
));
TestdoubleAdd
(
static_cast
<
size_t
>
(
10
));
TestdoubleAdd
(
static_cast
<
size_t
>
(
1024
*
1024
));
}
TEST
(
CudaAtomic
,
Sub
)
{
TestintSub
(
static_cast
<
size_t
>
(
10
));
TestintSub
(
static_cast
<
size_t
>
(
1024
*
1024
));
}
TEST
(
CudaAtomic
,
float16
)
{
using
paddle
::
platform
::
float16
;
Testfloat16Add
(
static_cast
<
size_t
>
(
1
));
Testfloat16Add
(
static_cast
<
size_t
>
(
2
));
Testfloat16Add
(
static_cast
<
size_t
>
(
3
));
Testfloat16Add
(
static_cast
<
size_t
>
(
10
));
Testfloat16Add
(
static_cast
<
size_t
>
(
1024
*
1024
));
}
paddle/fluid/platform/cuda_primitives.h
浏览文件 @
39ac9e39
...
@@ -14,12 +14,14 @@ limitations under the License. */
...
@@ -14,12 +14,14 @@ limitations under the License. */
#pragma once
#pragma once
#include <cuda.h>
#include <cuda.h>
#include <stdio.h>
#include "paddle/fluid/platform/float16.h"
namespace
paddle
{
namespace
paddle
{
namespace
platform
{
namespace
platform
{
#define CUDA_ATOMIC_WRAPPER(op, T) \
#define CUDA_ATOMIC_WRAPPER(op, T) \
__device__ __forceinline__ T CudaAtomic##op(T
*
address, const T val)
__device__ __forceinline__ T CudaAtomic##op(T
*
address, const T val)
#define USE_CUDA_ATOMIC(op, T) \
#define USE_CUDA_ATOMIC(op, T) \
CUDA_ATOMIC_WRAPPER(op, T) { return atomic##op(address, val); }
CUDA_ATOMIC_WRAPPER(op, T) { return atomic##op(address, val); }
...
@@ -42,17 +44,17 @@ CUDA_ATOMIC_WRAPPER(Add, int64_t) {
...
@@ -42,17 +44,17 @@ CUDA_ATOMIC_WRAPPER(Add, int64_t) {
static_assert
(
sizeof
(
int64_t
)
==
sizeof
(
long
long
int
),
// NOLINT
static_assert
(
sizeof
(
int64_t
)
==
sizeof
(
long
long
int
),
// NOLINT
"long long should be int64"
);
"long long should be int64"
);
return
CudaAtomicAdd
(
return
CudaAtomicAdd
(
reinterpret_cast
<
unsigned
long
long
int
*>
(
address
),
// NOLINT
reinterpret_cast
<
unsigned
long
long
int
*>
(
address
),
// NOLINT
static_cast
<
unsigned
long
long
int
>
(
val
));
// NOLINT
static_cast
<
unsigned
long
long
int
>
(
val
));
// NOLINT
}
}
#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
USE_CUDA_ATOMIC
(
Add
,
double
);
USE_CUDA_ATOMIC
(
Add
,
double
);
#else
#else
CUDA_ATOMIC_WRAPPER
(
Add
,
double
)
{
CUDA_ATOMIC_WRAPPER
(
Add
,
double
)
{
unsigned
long
long
int
*
address_as_ull
=
// NOLINT
unsigned
long
long
int
*
address_as_ull
=
// NOLINT
reinterpret_cast
<
unsigned
long
long
int
*>
(
address
);
// NOLINT
reinterpret_cast
<
unsigned
long
long
int
*>
(
address
);
// NOLINT
unsigned
long
long
int
old
=
*
address_as_ull
,
assumed
;
// NOLINT
unsigned
long
long
int
old
=
*
address_as_ull
,
assumed
;
// NOLINT
do
{
do
{
assumed
=
old
;
assumed
=
old
;
...
@@ -64,6 +66,67 @@ CUDA_ATOMIC_WRAPPER(Add, double) {
...
@@ -64,6 +66,67 @@ CUDA_ATOMIC_WRAPPER(Add, double) {
return
__longlong_as_double
(
old
);
return
__longlong_as_double
(
old
);
}
}
#endif
#ifdef PADDLE_CUDA_FP16
// NOTE(dzhwinter): cuda do not have atomicCAS for half.
// Just use the half address as a unsigned value address and
// do the atomicCAS. According to the value store at high 16 bits
// or low 16 bits, then do a different sum and CAS.
// Given most warp-threads will failed on the atomicCAS, so this
// implemented should be avoided in high concurrency. It's will be
// slower than the way convert value into 32bits and do a full atomicCAS.
// convert the value into float and do the add arithmetic.
// then store the result into a uint32.
inline
__device__
uint32_t
add_to_low_half
(
uint32_t
val
,
float
x
)
{
float16
low_half
;
// the float16 in lower 16bits
low_half
.
x
=
static_cast
<
uint16_t
>
(
val
&
0xffffu
);
low_half
=
static_cast
<
float16
>
(
static_cast
<
float
>
(
low_half
)
+
x
);
return
(
val
&
0xffff0000u
)
|
low_half
.
x
;
}
inline
__device__
uint32_t
add_to_high_half
(
uint32_t
val
,
float
x
)
{
float16
high_half
;
// the float16 in higher 16bits
high_half
.
x
=
static_cast
<
uint16_t
>
(
val
>>
16
);
high_half
=
static_cast
<
float16
>
(
static_cast
<
float
>
(
high_half
)
+
x
);
return
(
val
&
0xffffu
)
|
(
static_cast
<
uint32_t
>
(
high_half
.
x
)
<<
16
);
}
CUDA_ATOMIC_WRAPPER
(
Add
,
float16
)
{
// concrete packed float16 value may exsits in lower or higher 16bits
// of the 32bits address.
uint32_t
*
address_as_ui
=
reinterpret_cast
<
uint32_t
*>
(
reinterpret_cast
<
char
*>
(
address
)
-
(
reinterpret_cast
<
size_t
>
(
address
)
&
2
));
float
val_f
=
static_cast
<
float
>
(
val
);
uint32_t
old
=
*
address_as_ui
;
uint32_t
sum
;
uint32_t
newval
;
uint32_t
assumed
;
if
(((
size_t
)
address
&
2
)
==
0
)
{
// the float16 value stay at lower 16 bits of the address.
do
{
assumed
=
old
;
old
=
atomicCAS
(
address_as_ui
,
assumed
,
add_to_low_half
(
assumed
,
val_f
));
}
while
(
old
!=
assumed
);
float16
ret
;
ret
.
x
=
old
&
0xffffu
;
return
ret
;
}
else
{
// the float16 value stay at higher 16 bits of the address.
do
{
assumed
=
old
;
old
=
atomicCAS
(
address_as_ui
,
assumed
,
add_to_high_half
(
assumed
,
val_f
));
}
while
(
old
!=
assumed
);
float16
ret
;
ret
.
x
=
old
>>
16
;
return
ret
;
}
}
#endif
#endif
}
// namespace platform
}
// namespace platform
}
// namespace paddle
}
// namespace paddle
paddle/fluid/platform/float16.h
浏览文件 @
39ac9e39
...
@@ -67,8 +67,11 @@ struct float16;
...
@@ -67,8 +67,11 @@ struct float16;
}
// namespace platform
}
// namespace platform
}
// namespace paddle
}
// namespace paddle
// NOTE():
// Do not move the eigen.h header, otherwise the eigen_vector<bool> will failed.
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/platform/hostdevice.h"
#include "paddle/fluid/platform/hostdevice.h"
#include "unsupported/Eigen/CXX11/Tensor"
namespace
paddle
{
namespace
paddle
{
namespace
platform
{
namespace
platform
{
...
@@ -898,6 +901,30 @@ struct is_pod<paddle::platform::float16> {
...
@@ -898,6 +901,30 @@ struct is_pod<paddle::platform::float16> {
is_standard_layout
<
paddle
::
platform
::
float16
>::
value
;
is_standard_layout
<
paddle
::
platform
::
float16
>::
value
;
};
};
template
<
>
struct
is_floating_point
<
paddle
::
platform
::
float16
>
:
std
::
integral_constant
<
bool
,
std
::
is_same
<
paddle
::
platform
::
float16
,
typename
std
::
remove_cv
<
paddle
::
platform
::
float16
>::
type
>::
value
>
{};
template
<
>
struct
is_signed
<
paddle
::
platform
::
float16
>
{
static
const
bool
value
=
true
;
};
template
<
>
struct
is_unsigned
<
paddle
::
platform
::
float16
>
{
static
const
bool
value
=
false
;
};
inline
bool
isnan
(
const
paddle
::
platform
::
float16
&
a
)
{
return
paddle
::
platform
::
isnan
(
a
);
}
inline
bool
isinf
(
const
paddle
::
platform
::
float16
&
a
)
{
return
paddle
::
platform
::
isinf
(
a
);
}
template
<
>
template
<
>
struct
numeric_limits
<
paddle
::
platform
::
float16
>
{
struct
numeric_limits
<
paddle
::
platform
::
float16
>
{
static
const
bool
is_specialized
=
true
;
static
const
bool
is_specialized
=
true
;
...
...
paddle/fluid/platform/float16_test.cc
浏览文件 @
39ac9e39
...
@@ -141,10 +141,36 @@ TEST(float16, lod_tensor_cpu) {
...
@@ -141,10 +141,36 @@ TEST(float16, lod_tensor_cpu) {
}
}
}
}
TEST
(
float16
,
floating
)
{
// compile time assert.
PADDLE_ASSERT
(
std
::
is_floating_point
<
float16
>::
value
);
}
TEST
(
float16
,
print
)
{
TEST
(
float16
,
print
)
{
float16
a
=
float16
(
1.0
f
);
float16
a
=
float16
(
1.0
f
);
std
::
cout
<<
a
<<
std
::
endl
;
std
::
cout
<<
a
<<
std
::
endl
;
}
}
// CPU test
TEST
(
float16
,
isinf
)
{
float16
a
;
a
.
x
=
0x7c00
;
float16
b
=
float16
(
INFINITY
);
float16
c
=
static_cast
<
float16
>
(
INFINITY
);
EXPECT_EQ
(
std
::
isinf
(
a
),
true
);
EXPECT_EQ
(
std
::
isinf
(
b
),
true
);
EXPECT_EQ
(
std
::
isinf
(
c
),
true
);
}
TEST
(
float16
,
isnan
)
{
float16
a
;
a
.
x
=
0x7fff
;
float16
b
=
float16
(
NAN
);
float16
c
=
static_cast
<
float16
>
(
NAN
);
EXPECT_EQ
(
std
::
isnan
(
a
),
true
);
EXPECT_EQ
(
std
::
isnan
(
b
),
true
);
EXPECT_EQ
(
std
::
isnan
(
c
),
true
);
}
}
// namespace platform
}
// namespace platform
}
// namespace paddle
}
// namespace paddle
paddle/fluid/platform/float16_test.cu
浏览文件 @
39ac9e39
...
@@ -11,11 +11,13 @@ limitations under the License. */
...
@@ -11,11 +11,13 @@ limitations under the License. */
#include "paddle/fluid/platform/float16.h"
#include "paddle/fluid/platform/float16.h"
#include <glog/logging.h>
#include <gtest/gtest.h>
#include <gtest/gtest.h>
#include <bitset>
#include <iostream>
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/tensor_util.h"
#include "paddle/fluid/framework/tensor_util.h"
#include "paddle/legacy/utils/Logging.h"
#define ARITHMETIC_KERNEL(op_type, sign) \
#define ARITHMETIC_KERNEL(op_type, sign) \
__global__ void op_type(const half* in1, const half* in2, half* out) { \
__global__ void op_type(const half* in1, const half* in2, half* out) { \
...
@@ -241,6 +243,72 @@ TEST(float16, lod_tensor_on_gpu) {
...
@@ -241,6 +243,72 @@ TEST(float16, lod_tensor_on_gpu) {
}
}
}
}
template
<
typename
T
>
struct
Functor
{
bool
operator
()(
const
T
&
val
)
{
return
std
::
type_index
(
typeid
(
T
))
==
std
::
type_index
(
typeid
(
platform
::
float16
));
}
};
TEST
(
float16
,
typeid
)
{
// the framework heavily used typeid hash
Functor
<
float16
>
functor
;
float16
a
=
float16
(
.0
f
);
Functor
<
int
>
functor2
;
int
b
(
0
);
// compile time assert
PADDLE_ASSERT
(
functor
(
a
)
==
true
);
PADDLE_ASSERT
(
functor2
(
b
)
==
false
);
}
// GPU test
TEST
(
float16
,
isinf
)
{
float16
a
;
a
.
x
=
0x7c00
;
float16
b
=
float16
(
INFINITY
);
// underflow to 0
float16
native_a
(
5e-40
f
);
// overflow to inf
float16
native_b
(
5e40
f
);
EXPECT_EQ
(
std
::
isinf
(
a
),
true
);
EXPECT_EQ
(
std
::
isinf
(
b
),
true
);
EXPECT_EQ
(
std
::
isinf
(
native_b
),
true
);
EXPECT_EQ
(
native_a
,
float16
(
0
));
}
TEST
(
float16
,
isnan
)
{
float16
a
;
a
.
x
=
0x7fff
;
float16
b
=
float16
(
NAN
);
float16
c
=
float16
(
5e40
);
// inf * +-0 will get a nan
float16
d
=
c
*
float16
(
0
);
EXPECT_EQ
(
std
::
isnan
(
a
),
true
);
EXPECT_EQ
(
std
::
isnan
(
b
),
true
);
EXPECT_EQ
(
std
::
isnan
(
d
),
true
);
}
TEST
(
float16
,
cast
)
{
float16
a
;
a
.
x
=
0x0070
;
auto
b
=
a
;
{
// change semantic, keep the same value
float16
c
=
reinterpret_cast
<
float16
&>
(
reinterpret_cast
<
unsigned
&>
(
b
));
EXPECT_EQ
(
b
,
c
);
}
{
// use uint32 low 16 bit store float16
uint32_t
c
=
reinterpret_cast
<
uint32_t
&>
(
b
);
float16
d
;
d
.
x
=
c
;
EXPECT_EQ
(
b
,
d
);
}
}
}
// namespace platform
}
// namespace platform
}
// namespace paddle
}
// namespace paddle
#endif // PADDLE_CUDA_FP16
#endif // PADDLE_CUDA_FP16
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