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70540b26
编写于
3月 04, 2022
作者:
F
Feiyu Chan
提交者:
GitHub
3月 04, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
[phi] move cpu_vec (#39714)
move cpu_vec.h to phi/kernels/funcs.
上级
880dec0f
变更
7
展开全部
隐藏空白更改
内联
并排
Showing
7 changed file
with
756 addition
and
64 deletion
+756
-64
paddle/fluid/operators/attention_lstm_op.cc
paddle/fluid/operators/attention_lstm_op.cc
+9
-9
paddle/fluid/operators/fused/fused_embedding_fc_lstm_op.cc
paddle/fluid/operators/fused/fused_embedding_fc_lstm_op.cc
+3
-3
paddle/fluid/operators/fused/fusion_seqexpand_concat_fc_op.cc
...le/fluid/operators/fused/fusion_seqexpand_concat_fc_op.cc
+3
-3
paddle/fluid/operators/math/CMakeLists.txt
paddle/fluid/operators/math/CMakeLists.txt
+0
-1
paddle/phi/kernels/funcs/cpu_vec.h
paddle/phi/kernels/funcs/cpu_vec.h
+675
-0
paddle/phi/tests/kernels/CMakeLists.txt
paddle/phi/tests/kernels/CMakeLists.txt
+2
-0
paddle/phi/tests/kernels/test_cpu_vec.cc
paddle/phi/tests/kernels/test_cpu_vec.cc
+64
-48
未找到文件。
paddle/fluid/operators/attention_lstm_op.cc
浏览文件 @
70540b26
...
...
@@ -14,10 +14,10 @@ limitations under the License. */
#include "paddle/fluid/operators/attention_lstm_op.h"
#include <string>
#include "paddle/fluid/operators/math/cpu_vec.h"
#include "paddle/fluid/operators/math/fc.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/kernels/funcs/cpu_vec.h"
namespace
paddle
{
namespace
operators
{
...
...
@@ -269,10 +269,10 @@ use lstm_x_t as input and compute as standard LSTM.
template
<
typename
T
>
inline
void
bias_relu
(
const
int
n
,
const
T
*
x
,
const
T
*
bias
,
T
*
y
)
{
if
(
bias
)
{
math
::
vec_add_bias
<
T
,
platform
::
avx
>
(
n
,
*
bias
,
x
,
y
);
math
::
vec_relu
<
T
,
platform
::
avx
>
(
n
,
y
,
y
);
phi
::
funcs
::
vec_add_bias
<
T
,
platform
::
avx
>
(
n
,
*
bias
,
x
,
y
);
phi
::
funcs
::
vec_relu
<
T
,
platform
::
avx
>
(
n
,
y
,
y
);
}
else
{
math
::
vec_relu
<
T
,
platform
::
avx
>
(
n
,
x
,
y
);
phi
::
funcs
::
vec_relu
<
T
,
platform
::
avx
>
(
n
,
x
,
y
);
}
}
...
...
@@ -283,14 +283,14 @@ inline void vec_softmax(const int n, const T* x, T* y) {
for
(
int
i
=
1
;
i
<
n
;
++
i
)
{
scalar
=
scalar
<
x
[
i
]
?
x
[
i
]
:
scalar
;
}
math
::
vec_add_bias
<
T
,
platform
::
avx
>
(
n
,
-
scalar
,
x
,
y
);
// sub
math
::
vec_exp
<
T
>
(
n
,
y
,
y
);
// exp
phi
::
funcs
::
vec_add_bias
<
T
,
platform
::
avx
>
(
n
,
-
scalar
,
x
,
y
);
// sub
phi
::
funcs
::
vec_exp
<
T
>
(
n
,
y
,
y
);
// exp
// sum
scalar
=
T
(
0
);
for
(
int
i
=
0
;
i
<
n
;
++
i
)
{
scalar
+=
y
[
i
];
}
math
::
vec_scal
<
T
>
(
n
,
static_cast
<
T
>
(
1
)
/
scalar
,
y
);
// scale
phi
::
funcs
::
vec_scal
<
T
>
(
n
,
static_cast
<
T
>
(
1
)
/
scalar
,
y
);
// scale
}
template
<
typename
T
>
...
...
@@ -344,12 +344,12 @@ class AttentionLSTMKernel : public framework::OpKernel<T> {
auto
&
act_cell_str
=
ctx
.
Attr
<
std
::
string
>
(
"cell_activation"
);
auto
&
act_cand_str
=
ctx
.
Attr
<
std
::
string
>
(
"candidate_activation"
);
if
(
platform
::
MayIUse
(
platform
::
avx
))
{
math
::
VecActivations
<
T
,
platform
::
avx
>
act_functor
;
phi
::
funcs
::
VecActivations
<
T
,
platform
::
avx
>
act_functor
;
act_gate
=
act_functor
(
act_gate_str
);
act_cell
=
act_functor
(
act_cell_str
);
act_cand
=
act_functor
(
act_cand_str
);
}
else
{
math
::
VecActivations
<
T
,
platform
::
isa_any
>
act_functor
;
phi
::
funcs
::
VecActivations
<
T
,
platform
::
isa_any
>
act_functor
;
act_gate
=
act_functor
(
act_gate_str
);
act_cell
=
act_functor
(
act_cell_str
);
act_cand
=
act_functor
(
act_cand_str
);
...
...
paddle/fluid/operators/fused/fused_embedding_fc_lstm_op.cc
浏览文件 @
70540b26
...
...
@@ -14,9 +14,9 @@ limitations under the License. */
#include "paddle/fluid/operators/fused/fused_embedding_fc_lstm_op.h"
#include <string>
#include "paddle/fluid/operators/math/cpu_vec.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/kernels/funcs/cpu_vec.h"
#include "paddle/phi/kernels/funcs/sequence2batch.h"
namespace
paddle
{
...
...
@@ -243,12 +243,12 @@ class FusedEmbeddingFCLSTMKernel : public framework::OpKernel<T> {
auto& act_cell_str = ctx.Attr<std::string>("cell_activation"); \
auto& act_cand_str = ctx.Attr<std::string>("candidate_activation"); \
if (platform::MayIUse(platform::avx)) { \
math::VecActivations<T, platform::avx> act_functor;
\
phi::funcs::VecActivations<T, platform::avx> act_functor;
\
act_gate = act_functor(act_gate_str); \
act_cell = act_functor(act_cell_str); \
act_cand = act_functor(act_cand_str); \
} else { \
math::VecActivations<T, platform::isa_any> act_functor;
\
phi::funcs::VecActivations<T, platform::isa_any> act_functor;
\
act_gate = act_functor(act_gate_str); \
act_cell = act_functor(act_cell_str); \
act_cand = act_functor(act_cand_str); \
...
...
paddle/fluid/operators/fused/fusion_seqexpand_concat_fc_op.cc
浏览文件 @
70540b26
...
...
@@ -14,10 +14,10 @@ limitations under the License. */
#include "paddle/fluid/operators/fused/fusion_seqexpand_concat_fc_op.h"
#include <string>
#include "paddle/fluid/operators/math/cpu_vec.h"
#include "paddle/fluid/operators/math/fc.h"
#include "paddle/fluid/platform/cpu_info.h"
#include "paddle/phi/kernels/funcs/blas/blas.h"
#include "paddle/phi/kernels/funcs/cpu_vec.h"
namespace
paddle
{
namespace
operators
{
...
...
@@ -196,10 +196,10 @@ class FusionSeqExpandConcatFCOpKernel : public framework::OpKernel<T> {
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
fc_act
;
auto
&
fc_act_str
=
ctx
.
Attr
<
std
::
string
>
(
"fc_activation"
);
if
(
platform
::
MayIUse
(
platform
::
avx
))
{
math
::
VecActivations
<
T
,
platform
::
avx
>
act_functor
;
phi
::
funcs
::
VecActivations
<
T
,
platform
::
avx
>
act_functor
;
fc_act
=
act_functor
(
fc_act_str
);
}
else
{
math
::
VecActivations
<
T
,
platform
::
isa_any
>
act_functor
;
phi
::
funcs
::
VecActivations
<
T
,
platform
::
isa_any
>
act_functor
;
fc_act
=
act_functor
(
fc_act_str
);
}
...
...
paddle/fluid/operators/math/CMakeLists.txt
浏览文件 @
70540b26
...
...
@@ -70,7 +70,6 @@ if(WITH_GPU AND (NOT WITH_ROCM))
endif
()
endif
()
cc_test
(
cpu_vec_test SRCS cpu_vec_test.cc DEPS blas cpu_info
)
if
(
WITH_TESTING AND TEST im2col_test
)
set_tests_properties
(
im2col_test PROPERTIES TIMEOUT 120
)
endif
()
paddle/phi/kernels/funcs/cpu_vec.h
0 → 100644
浏览文件 @
70540b26
此差异已折叠。
点击以展开。
paddle/phi/tests/kernels/CMakeLists.txt
浏览文件 @
70540b26
...
...
@@ -22,3 +22,5 @@ endif()
if
(
WITH_ROCM
)
hip_test
(
test_math_function_gpu SRCS test_math_function.cu DEPS math_function
)
endif
()
cc_test
(
test_cpu_vec SRCS test_cpu_vec.cc DEPS blas cpu_info
)
paddle/
fluid/operators/math/cpu_vec_test
.cc
→
paddle/
phi/tests/kernels/test_cpu_vec
.cc
浏览文件 @
70540b26
...
...
@@ -18,7 +18,10 @@ limitations under the License. */
#include "glog/logging.h"
#include "gtest/gtest.h"
#include "paddle/fluid/operators/math/cpu_vec.h"
#include "paddle/phi/kernels/funcs/cpu_vec.h"
namespace
phi
{
namespace
tests
{
inline
double
GetCurrentUS
()
{
struct
timeval
time
;
...
...
@@ -62,7 +65,9 @@ void ref_relu(const int n, const T* x, T* y) {
}
template
<
typename
T
>
void
RandomVec
(
const
int
n
,
T
*
a
,
const
T
lower
=
static_cast
<
T
>
(
-
20.
f
),
void
RandomVec
(
const
int
n
,
T
*
a
,
const
T
lower
=
static_cast
<
T
>
(
-
20.
f
),
const
T
upper
=
static_cast
<
T
>
(
20.
f
))
{
static
unsigned
int
seed
=
100
;
std
::
mt19937
rng
(
seed
++
);
...
...
@@ -73,7 +78,8 @@ void RandomVec(const int n, T* a, const T lower = static_cast<T>(-20.f),
}
template
<
typename
T
>
void
TestAndBench
(
const
int
n
,
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
tgt
,
void
TestAndBench
(
const
int
n
,
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
tgt
,
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
ref
)
{
std
::
vector
<
T
>
x
(
n
);
std
::
vector
<
T
>
ytgt
(
n
),
yref
(
n
);
...
...
@@ -101,47 +107,48 @@ void TestAndBench(const int n, std::function<void(const int, const T*, T*)> tgt,
TEST
(
CpuVecTest
,
sigmoid
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
auto
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
>
,
ref_sigmoid
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx
>
,
ref_sigmoid
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx2
>
,
ref_sigmoid
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx512f
>
,
ref_sigmoid
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx
>
,
ref_sigmoid
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx2
>
,
ref_sigmoid
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx512f
>
,
ref_sigmoid
<
float
>
);
}
TestAndBench
<
double
>
(
30
,
vec_sigmoid
<
double
>
,
ref_sigmoid
<
double
>
);
}
TEST
(
CpuVecTest
,
tanh
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
auto
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
TestAndBench
<
float
>
(
sz
,
vec_tanh
<
float
>
,
ref_tanh
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_tanh
<
float
,
platform
::
avx
>
,
ref_tanh
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_tanh
<
float
,
platform
::
avx2
>
,
ref_tanh
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_tanh
<
float
,
platform
::
avx512f
>
,
ref_tanh
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_tanh
<
float
,
platform
::
avx512f
>
,
ref_tanh
<
float
>
);
}
TestAndBench
<
double
>
(
30
,
vec_tanh
<
double
>
,
ref_tanh
<
double
>
);
}
TEST
(
CpuVecTest
,
relu
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
auto
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
TestAndBench
<
float
>
(
sz
,
vec_relu
<
float
>
,
ref_relu
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_relu
<
float
,
platform
::
avx
>
,
ref_relu
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_relu
<
float
,
platform
::
avx2
>
,
ref_relu
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_relu
<
float
,
platform
::
avx512f
>
,
ref_relu
<
float
>
);
TestAndBench
<
float
>
(
sz
,
vec_relu
<
float
,
platform
::
avx512f
>
,
ref_relu
<
float
>
);
}
TestAndBench
<
double
>
(
30
,
vec_relu
<
double
>
,
ref_relu
<
double
>
);
}
template
<
typename
T
>
void
compare_sum
(
size_t
n
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
T
*
)
>
tgt
,
void
compare_sum
(
size_t
n
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
T
*
)
>
tgt
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
T
*
)
>
ref
)
{
std
::
vector
<
T
>
x
(
n
);
T
ytgt_data
,
yref_data
;
...
...
@@ -155,18 +162,19 @@ void compare_sum(size_t n, std::function<void(const size_t, const T*, T*)> tgt,
TEST
(
CpuVecTest
,
vec_sum
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
size_t
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
compare_sum
<
float
>
(
sz
,
vec_sum
<
float
>
,
vec_sum
<
float
,
platform
::
isa_any
>
);
compare_sum
<
float
>
(
sz
,
vec_sum
<
float
,
platform
::
avx
>
,
vec_sum
<
float
,
platform
::
isa_any
>
);
compare_sum
<
float
>
(
sz
,
vec_sum
<
float
,
platform
::
avx
>
,
vec_sum
<
float
,
platform
::
isa_any
>
);
}
compare_sum
<
double
>
(
30U
,
vec_sum
<
double
>
,
vec_sum
<
double
,
platform
::
isa_any
>
);
}
template
<
typename
T
>
void
compare_clip
(
size_t
n
,
T
threshold
,
size_t
n
,
T
threshold
,
std
::
function
<
void
(
const
size_t
,
const
T
,
const
T
*
,
T
*
)
>
tgt
,
std
::
function
<
void
(
const
size_t
,
const
T
,
const
T
*
,
T
*
)
>
ref
)
{
std
::
vector
<
T
>
x
(
n
);
...
...
@@ -185,20 +193,23 @@ void compare_clip(
TEST
(
CpuVecTest
,
vec_clip
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
size_t
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
compare_clip
<
float
>
(
sz
,
-
4.
f
,
vec_clip
<
float
>
,
vec_clip
<
float
,
platform
::
isa_any
>
);
compare_clip
<
float
>
(
sz
,
-
1.1
f
,
vec_clip
<
float
,
platform
::
avx
>
,
compare_clip
<
float
>
(
sz
,
-
4.
f
,
vec_clip
<
float
>
,
vec_clip
<
float
,
platform
::
isa_any
>
);
compare_clip
<
float
>
(
sz
,
-
1.1
f
,
vec_clip
<
float
,
platform
::
avx
>
,
vec_clip
<
float
,
platform
::
isa_any
>
);
}
compare_clip
<
double
>
(
30U
,
1.0
,
vec_clip
<
double
>
,
vec_clip
<
double
,
platform
::
isa_any
>
);
compare_clip
<
double
>
(
30U
,
1.0
,
vec_clip
<
double
>
,
vec_clip
<
double
,
platform
::
isa_any
>
);
}
template
<
typename
T
>
void
compare_mul
(
size_t
n
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
const
T
*
,
T
*
)
>
tgt
,
size_t
n
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
const
T
*
,
T
*
)
>
tgt
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
const
T
*
,
T
*
)
>
ref
)
{
std
::
vector
<
T
>
x
(
n
),
y
(
n
);
std
::
vector
<
T
>
ztgt
(
n
),
zref
(
n
);
...
...
@@ -220,18 +231,19 @@ void compare_mul(
TEST
(
CpuVecTest
,
vec_mul
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
size_t
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
compare_mul
<
float
>
(
sz
,
vec_mul
<
float
>
,
vec_mul
<
float
,
platform
::
isa_any
>
);
compare_mul
<
float
>
(
sz
,
vec_mul
<
float
,
platform
::
avx
>
,
vec_mul
<
float
,
platform
::
isa_any
>
);
compare_mul
<
float
>
(
sz
,
vec_mul
<
float
,
platform
::
avx
>
,
vec_mul
<
float
,
platform
::
isa_any
>
);
}
compare_mul
<
double
>
(
30U
,
vec_mul
<
double
>
,
vec_mul
<
double
,
platform
::
isa_any
>
);
}
template
<
typename
T
>
void
compare_mul_reduce
(
size_t
n
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
const
T
*
,
T
*
)
>
tgt
,
size_t
n
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
const
T
*
,
T
*
)
>
tgt
,
std
::
function
<
void
(
const
size_t
,
const
T
*
,
const
T
*
,
T
*
)
>
ref
)
{
std
::
vector
<
T
>
x
(
n
),
y
(
n
);
T
ztgt_data
,
zref_data
;
...
...
@@ -249,19 +261,21 @@ void compare_mul_reduce(
TEST
(
CpuVecTest
,
vec_mul_reduce
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
size_t
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
compare_mul_reduce
<
float
>
(
sz
,
vec_mul_reduce
<
float
>
,
vec_mul_reduce
<
float
,
platform
::
isa_any
>
);
compare_mul_reduce
<
float
>
(
sz
,
vec_mul_reduce
<
float
,
platform
::
avx
>
,
compare_mul_reduce
<
float
>
(
sz
,
vec_mul_reduce
<
float
>
,
vec_mul_reduce
<
float
,
platform
::
isa_any
>
);
compare_mul_reduce
<
float
>
(
sz
,
vec_mul_reduce
<
float
,
platform
::
avx
>
,
vec_mul_reduce
<
float
,
platform
::
isa_any
>
);
}
compare_mul_reduce
<
double
>
(
30U
,
vec_mul_reduce
<
double
>
,
vec_mul_reduce
<
double
,
platform
::
isa_any
>
);
compare_mul_reduce
<
double
>
(
30U
,
vec_mul_reduce
<
double
>
,
vec_mul_reduce
<
double
,
platform
::
isa_any
>
);
}
template
<
typename
T
>
void
TestInplace
(
const
int
n
,
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
tgt
,
void
TestInplace
(
const
int
n
,
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
tgt
,
std
::
function
<
void
(
const
int
,
const
T
*
,
T
*
)
>
ref
)
{
std
::
vector
<
T
>
x
(
n
);
std
::
vector
<
T
>
ytgt
(
n
),
yref
(
n
);
...
...
@@ -283,22 +297,22 @@ void TestInplace(const int n, std::function<void(const int, const T*, T*)> tgt,
TEST
(
CpuVecTest
,
inplace_sigmoid
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
auto
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
>
,
ref_sigmoid
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx
>
,
ref_sigmoid
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx2
>
,
ref_sigmoid
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx512f
>
,
ref_sigmoid
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx
>
,
ref_sigmoid
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx2
>
,
ref_sigmoid
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_sigmoid
<
float
,
platform
::
avx512f
>
,
ref_sigmoid
<
float
>
);
}
TestInplace
<
double
>
(
30
,
vec_sigmoid
<
double
>
,
ref_sigmoid
<
double
>
);
}
TEST
(
CpuVecTest
,
inplace_tanh
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
auto
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
TestInplace
<
float
>
(
sz
,
vec_tanh
<
float
>
,
ref_tanh
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_tanh
<
float
,
platform
::
avx
>
,
ref_tanh
<
float
>
);
...
...
@@ -310,7 +324,7 @@ TEST(CpuVecTest, inplace_tanh) {
TEST
(
CpuVecTest
,
inplace_relu
)
{
namespace
platform
=
paddle
::
platform
;
using
namespace
p
addle
::
operators
::
math
;
// NOLINT
using
namespace
p
hi
::
funcs
;
// NOLINT
for
(
auto
sz
:
{
1
,
2
,
15
,
16
,
30
,
32
,
128
,
200
,
512
})
{
TestInplace
<
float
>
(
sz
,
vec_relu
<
float
>
,
ref_relu
<
float
>
);
TestInplace
<
float
>
(
sz
,
vec_relu
<
float
,
platform
::
avx
>
,
ref_relu
<
float
>
);
...
...
@@ -319,3 +333,5 @@ TEST(CpuVecTest, inplace_relu) {
}
TestInplace
<
double
>
(
30
,
vec_relu
<
double
>
,
ref_relu
<
double
>
);
}
}
// namespace tests
}
// namespace phi
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