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00d3afbc
编写于
12月 13, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add gru refer functions, test and benchmark
上级
6eec4617
变更
10
隐藏空白更改
内联
并排
Showing
10 changed file
with
274 addition
and
52 deletion
+274
-52
paddle/fluid/operators/jit/README.md
paddle/fluid/operators/jit/README.md
+3
-1
paddle/fluid/operators/jit/benchmark.cc
paddle/fluid/operators/jit/benchmark.cc
+84
-0
paddle/fluid/operators/jit/helper.cc
paddle/fluid/operators/jit/helper.cc
+3
-0
paddle/fluid/operators/jit/kernel_base.h
paddle/fluid/operators/jit/kernel_base.h
+11
-1
paddle/fluid/operators/jit/kernel_key.cc
paddle/fluid/operators/jit/kernel_key.cc
+10
-1
paddle/fluid/operators/jit/refer/CMakeLists.txt
paddle/fluid/operators/jit/refer/CMakeLists.txt
+3
-0
paddle/fluid/operators/jit/refer/refer.cc
paddle/fluid/operators/jit/refer/refer.cc
+4
-0
paddle/fluid/operators/jit/refer/refer.h
paddle/fluid/operators/jit/refer/refer.h
+53
-1
paddle/fluid/operators/jit/test.cc
paddle/fluid/operators/jit/test.cc
+102
-0
paddle/fluid/operators/math/jit_kernel_refer.h
paddle/fluid/operators/math/jit_kernel_refer.h
+1
-48
未找到文件。
paddle/fluid/operators/jit/README.md
浏览文件 @
00d3afbc
...
...
@@ -45,4 +45,6 @@ PaddlePaddle/Paddle/paddle/fluid/
-
在
`KernelType`
中添加
`your_key`
.
-
实现Reference 的逻辑,每个jitkernel的Reference 实现是必须的。不要依赖任何第三方库。并在
`refer/CmakeLists.txt`
中
`USE_JITKERNEL_REFER(your_key)`
.
-
必要时可以添加新的
`KernelTuples`
,可以参考
`XYZNTuples`
.
-
必要时可以添加新的
`KernelTuples`
,可以参考
`XYZNTuples`
,新加的Attr类型需要特例化
`JitCodeKey`
方法。
-
添加unit test,需要测试float和double
-
添加benchmark确保get得到的速度是最快。
paddle/fluid/operators/jit/benchmark.cc
浏览文件 @
00d3afbc
...
...
@@ -364,6 +364,85 @@ void BenchLSTMKernel() {
}
}
// return this function avg time
template
<
typename
T
,
typename
KernelTuples
>
double
BenchGRUFunc
(
const
typename
KernelTuples
::
func_type
tgt
,
const
paddle
::
operators
::
jit
::
gru_attr_t
*
attr
,
paddle
::
operators
::
jit
::
gru_t
*
step
)
{
for
(
int
i
=
0
;
i
<
FLAGS_burning
;
++
i
)
{
tgt
(
step
,
attr
);
}
auto
start
=
GetCurrentUS
();
for
(
int
i
=
0
;
i
<
FLAGS_repeat
;
++
i
)
{
tgt
(
step
,
attr
);
}
auto
end
=
GetCurrentUS
();
return
(
end
-
start
)
/
FLAGS_repeat
;
}
template
<
paddle
::
operators
::
jit
::
KernelType
KT
,
typename
T
,
typename
PlaceType
>
void
BenchGRUKernel
()
{
namespace
jit
=
paddle
::
operators
::
jit
;
for
(
int
d
:
TestSizes
())
{
const
jit
::
gru_attr_t
attr
(
d
,
jit
::
vsigmoid
,
jit
::
vtanh
);
std
::
vector
<
std
::
pair
<
std
::
string
,
double
>>
infos
;
std
::
vector
<
T
>
x
(
3
*
d
),
ht_1
(
d
),
ht
(
d
);
RandomVec
<
T
>
(
3
*
d
,
x
.
data
(),
-
2.
f
,
2.
f
);
RandomVec
<
T
>
(
d
,
ht_1
.
data
(),
-
2.
f
,
2.
f
);
const
T
*
ht_1_data
=
ht_1
.
data
();
T
*
x_data
=
x
.
data
();
T
*
ht_data
=
ht
.
data
();
jit
::
gru_t
step
;
step
.
gates
=
x_data
;
step
.
ht_1
=
ht_1_data
;
step
.
ht
=
ht_data
;
// test refer
auto
refer
=
jit
::
GetRefer
<
KT
,
jit
::
GRUTuples
<
T
>>
();
if
(
refer
)
{
auto
res
=
BenchGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
refer
,
&
attr
,
&
step
);
infos
.
push_back
(
std
::
make_pair
(
"Refer"
,
res
));
}
// test jitcode
auto
jitcode
=
jit
::
GetJitCode
<
KT
,
jit
::
GRUTuples
<
T
>
,
PlaceType
>
(
attr
);
if
(
jitcode
)
{
auto
res
=
BenchGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
jitcode
,
&
attr
,
&
step
);
infos
.
push_back
(
std
::
make_pair
(
"JitCode"
,
res
));
}
// test all impls in more
jit
::
KernelKey
kkey
(
KT
,
PlaceType
());
auto
&
pool
=
jit
::
KernelPool
().
Instance
().
AllKernels
();
auto
iter
=
pool
.
find
(
kkey
);
if
(
iter
!=
pool
.
end
())
{
auto
&
impls
=
iter
->
second
;
for
(
auto
&
impl
:
impls
)
{
auto
i
=
dynamic_cast
<
const
jit
::
KernelImpl
<
jit
::
GRUTuples
<
T
>>*>
(
impl
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
auto
more
=
i
->
GetFunc
();
auto
res
=
BenchGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
more
,
&
attr
,
&
step
);
infos
.
push_back
(
std
::
make_pair
(
"More"
,
res
));
}
}
}
// Test result from Get function
auto
tgt
=
jit
::
Get
<
KT
,
jit
::
GRUTuples
<
T
>
,
PlaceType
>
(
attr
);
if
(
!
tgt
)
{
LOG
(
ERROR
)
<<
"Target can not be empty!"
;
}
auto
res
=
BenchGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
tgt
,
&
attr
,
&
step
);
infos
.
push_back
(
std
::
make_pair
(
"Target"
,
res
));
// print
std
::
ostringstream
loginfos
;
loginfos
<<
"Kernel Type: "
<<
jit
::
to_string
(
KT
)
<<
", Sigmoid,Tanh, size "
<<
d
<<
": "
;
for
(
auto
pair
:
infos
)
{
loginfos
<<
pair
.
first
<<
" takes "
<<
pair
.
second
<<
" us; "
;
}
LOG
(
INFO
)
<<
loginfos
.
str
();
}
}
// Benchmark all jit kernels including jitcode, mkl and refer.
// To use this tool, run command: ./benchmark [options...]
// Options:
...
...
@@ -396,4 +475,9 @@ int main(int argc, char* argv[]) {
// lstm and peephole
BenchLSTMKernel
<
jit
::
lstmctht
,
T
,
PlaceType
>
();
BenchLSTMKernel
<
jit
::
lstmc1h1
,
T
,
PlaceType
>
();
// gru functions
BenchGRUKernel
<
jit
::
gruh1
,
T
,
PlaceType
>
();
BenchGRUKernel
<
jit
::
gruhtpart1
,
T
,
PlaceType
>
();
BenchGRUKernel
<
jit
::
gruhtpart2
,
T
,
PlaceType
>
();
}
paddle/fluid/operators/jit/helper.cc
浏览文件 @
00d3afbc
...
...
@@ -39,6 +39,9 @@ const char* to_string(KernelType kt) {
ONE_CASE
(
vtanh
);
ONE_CASE
(
lstmctht
);
ONE_CASE
(
lstmc1h1
);
ONE_CASE
(
gruh1
);
ONE_CASE
(
gruhtpart1
);
ONE_CASE
(
gruhtpart2
);
default:
PADDLE_THROW
(
"Not support type: %d"
,
kt
);
return
"NOT JITKernel"
;
...
...
paddle/fluid/operators/jit/kernel_base.h
浏览文件 @
00d3afbc
...
...
@@ -33,7 +33,10 @@ typedef enum {
vsigmoid
,
vtanh
,
lstmctht
,
lstmc1h1
lstmc1h1
,
gruh1
,
gruhtpart1
,
gruhtpart2
}
KernelType
;
template
<
typename
T
>
...
...
@@ -98,6 +101,13 @@ struct LSTMTuples {
typedef
void
(
*
func_type
)(
lstm_t
*
,
const
lstm_attr_t
*
);
};
template
<
typename
T
>
struct
GRUTuples
{
typedef
T
data_type
;
typedef
gru_attr_t
attr_type
;
typedef
void
(
*
func_type
)(
gru_t
*
,
const
gru_attr_t
*
);
};
// Just for adding to kernel pool without template
class
Kernel
{
public:
...
...
paddle/fluid/operators/jit/kernel_key.cc
浏览文件 @
00d3afbc
...
...
@@ -23,9 +23,10 @@ size_t JitCodeKey<int>(const int& d) {
return
d
;
}
constexpr
int
act_type_shift
=
3
;
// suppot 2^3 act types
template
<
>
size_t
JitCodeKey
<
lstm_attr_t
>
(
const
lstm_attr_t
&
attr
)
{
constexpr
int
act_type_shift
=
3
;
// suppot 2^3 act types
size_t
key
=
attr
.
d
;
int
gate_key
=
static_cast
<
int
>
(
attr
.
act_gate
)
<<
1
;
int
cand_key
=
static_cast
<
int
>
(
attr
.
act_cand
)
<<
(
1
+
act_type_shift
);
...
...
@@ -33,6 +34,14 @@ size_t JitCodeKey<lstm_attr_t>(const lstm_attr_t& attr) {
return
(
key
<<
(
1
+
act_type_shift
*
3
))
+
gate_key
+
cand_key
+
cell_key
+
attr
.
use_peephole
;
}
template
<
>
size_t
JitCodeKey
<
gru_attr_t
>
(
const
gru_attr_t
&
attr
)
{
size_t
key
=
attr
.
d
;
return
(
key
<<
(
act_type_shift
*
2
))
+
static_cast
<
int
>
(
attr
.
act_gate
)
+
(
static_cast
<
int
>
(
attr
.
act_cand
)
<<
act_type_shift
);
}
}
// namespace jit
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/jit/refer/CMakeLists.txt
浏览文件 @
00d3afbc
...
...
@@ -20,3 +20,6 @@ USE_JITKERNEL_REFER(vsigmoid)
USE_JITKERNEL_REFER
(
vtanh
)
USE_JITKERNEL_REFER
(
lstmctht
)
USE_JITKERNEL_REFER
(
lstmc1h1
)
USE_JITKERNEL_REFER
(
gruh1
)
USE_JITKERNEL_REFER
(
gruhtpart1
)
USE_JITKERNEL_REFER
(
gruhtpart2
)
paddle/fluid/operators/jit/refer/refer.cc
浏览文件 @
00d3afbc
...
...
@@ -38,4 +38,8 @@ REGISTER_REFER_KERNEL(vtanh, VTanh);
REGISTER_REFER_KERNEL
(
lstmctht
,
LSTMCtHt
);
REGISTER_REFER_KERNEL
(
lstmc1h1
,
LSTMC1H1
);
REGISTER_REFER_KERNEL
(
gruh1
,
GRUH1
);
REGISTER_REFER_KERNEL
(
gruhtpart1
,
GRUHtPart1
);
REGISTER_REFER_KERNEL
(
gruhtpart2
,
GRUHtPart2
);
#undef REGISTER_REFER_KERNEL
paddle/fluid/operators/jit/refer/refer.h
浏览文件 @
00d3afbc
...
...
@@ -125,6 +125,8 @@ void (*getActFunc(KernelType type))(const T*, T*, int) { // NOLINT
return
nullptr
;
}
// TODO(TJ): add refer gemm and make LSTM kernels combine as same GRU kernels
// compute ct and ht
template
<
typename
T
>
void
LSTMCtHt
(
lstm_t
*
step
,
const
lstm_attr_t
*
attr
)
{
...
...
@@ -195,6 +197,51 @@ void LSTMC1H1(lstm_t* step, const lstm_attr_t* attr) {
VMul
(
gates
+
d2
,
gates
+
d3
,
ht
,
d
);
}
// compute h1 without h0
template
<
typename
T
>
void
GRUH1
(
gru_t
*
step
,
const
gru_attr_t
*
attr
)
{
T
*
gates
=
reinterpret_cast
<
T
*>
(
step
->
gates
);
T
*
ht
=
reinterpret_cast
<
T
*>
(
step
->
ht
);
auto
act_gate
=
getActFunc
<
T
>
(
attr
->
act_gate
);
auto
act_cand
=
getActFunc
<
T
>
(
attr
->
act_cand
);
int
d
=
attr
->
d
;
int
d2
=
d
*
2
;
act_gate
(
gates
,
gates
,
d
);
act_cand
(
gates
+
d2
,
gates
+
d2
,
d
);
VMul
(
gates
,
gates
+
d2
,
ht
,
d
);
}
// compute the first part of GRU: ht = act_gate(r) * ht_1
template
<
typename
T
>
void
GRUHtPart1
(
gru_t
*
step
,
const
gru_attr_t
*
attr
)
{
// W: {W_update, W_reset; W_state}
T
*
gates
=
reinterpret_cast
<
T
*>
(
step
->
gates
);
T
*
ht
=
reinterpret_cast
<
T
*>
(
step
->
ht
);
const
T
*
ht_1
=
reinterpret_cast
<
const
T
*>
(
step
->
ht_1
);
auto
act_gate
=
getActFunc
<
T
>
(
attr
->
act_gate
);
act_gate
(
gates
+
attr
->
d
,
gates
+
attr
->
d
,
attr
->
d
);
VMul
(
ht_1
,
gates
+
attr
->
d
,
ht
,
attr
->
d
);
}
// compute the second part of GRU:
// ht = act_gate(u) * act_cand(s) + (1-act_gate(u)) * ht_1
template
<
typename
T
>
void
GRUHtPart2
(
gru_t
*
step
,
const
gru_attr_t
*
attr
)
{
T
*
gates
=
reinterpret_cast
<
T
*>
(
step
->
gates
);
T
*
ht
=
reinterpret_cast
<
T
*>
(
step
->
ht
);
const
T
*
ht_1
=
reinterpret_cast
<
const
T
*>
(
step
->
ht_1
);
auto
act_gate
=
getActFunc
<
T
>
(
attr
->
act_gate
);
auto
act_cand
=
getActFunc
<
T
>
(
attr
->
act_cand
);
int
d
=
attr
->
d
;
T
*
y
=
gates
+
d
*
2
;
act_gate
(
gates
,
gates
,
d
);
act_cand
(
y
,
y
,
d
);
// out = zt*ht~ + (1-zt)*ht_1
for
(
int
i
=
0
;
i
<
d
;
++
i
)
{
ht
[
i
]
=
gates
[
i
]
*
y
[
i
]
+
(
static_cast
<
T
>
(
1
)
-
gates
[
i
])
*
ht_1
[
i
];
}
}
#define DECLARE_REFER_KERNEL(name, tuples) \
template <typename T> \
class name##Kernel : public ReferKernel<tuples<T>> { \
...
...
@@ -219,10 +266,15 @@ DECLARE_REFER_KERNEL(VExp, XYNTuples);
DECLARE_REFER_KERNEL
(
VSigmoid
,
XYNTuples
);
DECLARE_REFER_KERNEL
(
VTanh
,
XYNTuples
);
// lstm_t*
, const lstm_attr_t*
// lstm_t*, const lstm_attr_t*
DECLARE_REFER_KERNEL
(
LSTMCtHt
,
LSTMTuples
);
DECLARE_REFER_KERNEL
(
LSTMC1H1
,
LSTMTuples
);
// gru_t*, const gru_attr_t*
DECLARE_REFER_KERNEL
(
GRUH1
,
GRUTuples
);
DECLARE_REFER_KERNEL
(
GRUHtPart1
,
GRUTuples
);
DECLARE_REFER_KERNEL
(
GRUHtPart2
,
GRUTuples
);
#undef DECLARE_REFER_KERNEL
}
// namespace refer
...
...
paddle/fluid/operators/jit/test.cc
浏览文件 @
00d3afbc
...
...
@@ -485,6 +485,108 @@ TEST(JITKernel, lstmc1h1) {
TestLSTMKernel
<
jit
::
lstmc1h1
,
double
,
paddle
::
platform
::
CPUPlace
>
();
}
template
<
typename
T
,
typename
KernelTuples
>
void
TestGRUFunc
(
const
typename
KernelTuples
::
func_type
tgt
,
const
std
::
vector
<
T
>&
xsrc
,
const
std
::
vector
<
T
>&
ht_1
,
const
std
::
vector
<
T
>&
ht_ref
,
const
paddle
::
operators
::
jit
::
gru_attr_t
&
attr
)
{
EXPECT_TRUE
(
tgt
!=
nullptr
);
EXPECT_EQ
(
ht_1
.
size
(),
ht_ref
.
size
());
EXPECT_EQ
(
xsrc
.
size
(),
3
*
ht_ref
.
size
());
// x could be changed after compute, so copy to save src
int
d
=
ht_ref
.
size
();
std
::
vector
<
T
>
x
(
xsrc
.
size
()),
ht
(
ht_ref
.
size
());
std
::
copy
(
xsrc
.
begin
(),
xsrc
.
end
(),
x
.
begin
());
const
T
*
ht_1_data
=
ht_1
.
data
();
const
T
*
ht_ref_data
=
ht_ref
.
data
();
T
*
x_data
=
x
.
data
();
T
*
ht_data
=
ht
.
data
();
paddle
::
operators
::
jit
::
gru_t
step
;
step
.
gates
=
x_data
;
step
.
ht_1
=
ht_1_data
;
step
.
ht
=
ht_data
;
tgt
(
&
step
,
&
attr
);
ExpectEQ
<
T
>
(
ht_data
,
ht_ref_data
,
d
);
}
template
<
paddle
::
operators
::
jit
::
KernelType
KT
,
typename
T
,
typename
PlaceType
>
void
TestGRUKernel
()
{
namespace
jit
=
paddle
::
operators
::
jit
;
VLOG
(
10
)
<<
"===== Test JITKernel "
<<
jit
::
to_string
(
KT
);
std
::
vector
<
std
::
string
>
all_acts
=
{
"sigmoid"
,
"tanh"
,
"relu"
,
"identity"
};
for
(
int
d
:
TestSizes
())
{
for
(
auto
&
act_gate
:
all_acts
)
{
for
(
auto
&
act_cand
:
all_acts
)
{
std
::
string
info
=
act_gate
+
act_cand
+
"size_"
+
std
::
to_string
(
d
);
const
jit
::
gru_attr_t
attr
(
d
,
jit
::
to_kerneltype
(
act_gate
),
jit
::
to_kerneltype
(
act_cand
));
auto
ref
=
jit
::
GetRefer
<
KT
,
jit
::
GRUTuples
<
T
>>
();
EXPECT_TRUE
(
ref
!=
nullptr
);
std
::
vector
<
T
>
xsrc
(
3
*
d
),
ht_1
(
d
),
ht_ref
(
d
);
RandomVec
<
T
>
(
3
*
d
,
xsrc
.
data
(),
-
2.
f
,
2.
f
);
RandomVec
<
T
>
(
d
,
ht_1
.
data
(),
-
2.
f
,
2.
f
);
// x could be changed after compute, so copy to save src
std
::
vector
<
T
>
x
(
xsrc
.
size
());
std
::
copy
(
xsrc
.
begin
(),
xsrc
.
end
(),
x
.
begin
());
const
T
*
ht_1_data
=
ht_1
.
data
();
T
*
x_data
=
x
.
data
();
T
*
ht_ref_data
=
ht_ref
.
data
();
jit
::
gru_t
step
;
step
.
gates
=
x_data
;
step
.
ht_1
=
ht_1_data
;
step
.
ht
=
ht_ref_data
;
ref
(
&
step
,
&
attr
);
// test jitcode
auto
jitcode
=
jit
::
GetJitCode
<
KT
,
jit
::
GRUTuples
<
T
>
,
PlaceType
>
(
attr
);
if
(
jitcode
)
{
VLOG
(
10
)
<<
"Test Jitcode Kernel "
<<
info
;
TestGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
jitcode
,
xsrc
,
ht_1
,
ht_ref
,
attr
);
}
// test all impls in more
jit
::
KernelKey
kkey
(
KT
,
PlaceType
());
auto
&
pool
=
jit
::
KernelPool
().
Instance
().
AllKernels
();
auto
iter
=
pool
.
find
(
kkey
);
if
(
iter
!=
pool
.
end
())
{
auto
&
impls
=
iter
->
second
;
for
(
auto
&
impl
:
impls
)
{
auto
i
=
dynamic_cast
<
const
jit
::
KernelImpl
<
jit
::
GRUTuples
<
T
>>*>
(
impl
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
auto
more
=
i
->
GetFunc
();
VLOG
(
10
)
<<
"Test More Kernel "
<<
info
;
TestGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
more
,
xsrc
,
ht_1
,
ht_ref
,
attr
);
}
}
}
// Test result from Get function
auto
tgt
=
jit
::
Get
<
KT
,
jit
::
GRUTuples
<
T
>
,
PlaceType
>
(
attr
);
TestGRUFunc
<
T
,
jit
::
GRUTuples
<
T
>>
(
tgt
,
xsrc
,
ht_1
,
ht_ref
,
attr
);
}
}
}
}
TEST
(
JITKernel
,
gruh1
)
{
namespace
jit
=
paddle
::
operators
::
jit
;
TestGRUKernel
<
jit
::
gruh1
,
float
,
paddle
::
platform
::
CPUPlace
>
();
TestGRUKernel
<
jit
::
gruh1
,
double
,
paddle
::
platform
::
CPUPlace
>
();
}
TEST
(
JITKernel
,
gruhtpart1
)
{
namespace
jit
=
paddle
::
operators
::
jit
;
TestGRUKernel
<
jit
::
gruhtpart1
,
float
,
paddle
::
platform
::
CPUPlace
>
();
TestGRUKernel
<
jit
::
gruhtpart1
,
double
,
paddle
::
platform
::
CPUPlace
>
();
}
TEST
(
JITKernel
,
gruhtpart2
)
{
namespace
jit
=
paddle
::
operators
::
jit
;
TestGRUKernel
<
jit
::
gruhtpart2
,
float
,
paddle
::
platform
::
CPUPlace
>
();
TestGRUKernel
<
jit
::
gruhtpart2
,
double
,
paddle
::
platform
::
CPUPlace
>
();
}
// TODO(TJ): refine the tests template
TEST
(
JITKernel
,
pool
)
{
...
...
paddle/fluid/operators/math/jit_kernel_refer.h
浏览文件 @
00d3afbc
...
...
@@ -22,54 +22,7 @@ namespace paddle {
namespace
operators
{
namespace
math
{
namespace
jitkernel
{
namespace
refer
{
// compute h1 without h0
template
<
typename
T
>
void
GRUH1
(
gru_t
*
step
,
const
gru_attr_t
*
attr
)
{
T
*
gates
=
reinterpret_cast
<
T
*>
(
step
->
gates
);
T
*
ht
=
reinterpret_cast
<
T
*>
(
step
->
ht
);
auto
act_gate
=
getActFunc
<
T
>
(
attr
->
act_gate
);
auto
act_cand
=
getActFunc
<
T
>
(
attr
->
act_cand
);
int
d
=
attr
->
d
;
int
d2
=
d
*
2
;
act_gate
(
gates
,
gates
,
d
);
act_cand
(
gates
+
d2
,
gates
+
d2
,
d
);
VMul
(
gates
,
gates
+
d2
,
ht
,
d
);
}
// compute the first part of GRU: ht = act_gate(r) * ht_1
template
<
typename
T
>
void
GRUHtPart1
(
gru_t
*
step
,
const
gru_attr_t
*
attr
)
{
// W: {W_update, W_reset; W_state}
T
*
gates
=
reinterpret_cast
<
T
*>
(
step
->
gates
);
T
*
ht
=
reinterpret_cast
<
T
*>
(
step
->
ht
);
const
T
*
ht_1
=
reinterpret_cast
<
const
T
*>
(
step
->
ht_1
);
auto
act_gate
=
getActFunc
<
T
>
(
attr
->
act_gate
);
act_gate
(
gates
+
attr
->
d
,
gates
+
attr
->
d
,
attr
->
d
);
VMul
(
ht_1
,
gates
+
attr
->
d
,
ht
,
attr
->
d
);
}
// compute the second part of GRU:
// ht = act_gate(u) * act_cand(s) + (1-act_gate(u)) * ht_1
template
<
typename
T
>
void
GRUHtPart2
(
gru_t
*
step
,
const
gru_attr_t
*
attr
)
{
T
*
gates
=
reinterpret_cast
<
T
*>
(
step
->
gates
);
T
*
ht
=
reinterpret_cast
<
T
*>
(
step
->
ht
);
const
T
*
ht_1
=
reinterpret_cast
<
const
T
*>
(
step
->
ht_1
);
auto
act_gate
=
getActFunc
<
T
>
(
attr
->
act_gate
);
auto
act_cand
=
getActFunc
<
T
>
(
attr
->
act_cand
);
int
d
=
attr
->
d
;
T
*
y
=
gates
+
d
*
2
;
act_gate
(
gates
,
gates
,
d
);
act_cand
(
y
,
y
,
d
);
// out = zt*ht~ + (1-zt)*ht_1
for
(
int
i
=
0
;
i
<
d
;
++
i
)
{
ht
[
i
]
=
gates
[
i
]
*
y
[
i
]
+
(
static_cast
<
T
>
(
1
)
-
gates
[
i
])
*
ht_1
[
i
];
}
}
}
// namespace refer
namespace
refer
{}
// namespace refer
}
// namespace jitkernel
}
// namespace math
}
// namespace operators
...
...
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