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b67584a6
编写于
6年前
作者:
T
tensor-tang
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差异文件
jit benchmark use tensor
test=develop
上级
3008fa12
develop
2.0.1-rocm-post
Ligoml-patch-1
OliverLPH-patch-1
OliverLPH-patch-2
PaddlePM-patch-1
PaddlePM-patch-2
ZHUI-patch-1
add_default_att
add_model_benchmark_ci
add_some_yaml_config
addfile
all_new_design_exec
ascendrc
ascendrelease
cherry_undefined_var
compile_windows
cp_2.4_fix_numpy
delete_2.0.1-rocm-post
delete_add_default_att
delete_all_new_design_exec
delete_ascendrc
delete_compile_windows
delete_delete_addfile
delete_disable_iterable_dataset_unittest
delete_fix_dataloader_memory_leak
delete_fix_imperative_dygraph_error
delete_fix_retry_ci
delete_fix_undefined_var
delete_improve_sccache
delete_incubate/lite
delete_paddle_tiny_install
delete_paralleltest
delete_prv-disable-more-cache
delete_revert-31068-fix_conv3d_windows
delete_revert-31562-mean
delete_revert-33630-bug-fix
delete_revert-34159-add_npu_bce_logical_dev
delete_revert-34910-spinlocks_for_allocator
delete_revert-35069-revert-34910-spinlocks_for_allocator
delete_revert-36057-dev/read_flags_in_ut
dingjiaweiww-patch-1
disable_iterable_dataset_unittest
dy2static
enable_eager_model_test
final_state_gen_python_c
final_state_intermediate
fix-numpy-issue
fix_concat_slice
fix_dataloader_memory_leak
fix_dlpack_for
fix_imperative_dygraph_error
fix_npu_ci
fix_op_flops
fix_retry_ci
fix_rnn_docs
fix_tensor_type
fix_undefined_var
fix_var_stop_gradient_error
fixiscan
fixiscan1
fixiscan2
fixiscan3
github/fork/123malin/netifaces
github/fork/123malin/tdm_abacus
github/fork/AshburnLee/dev_unique
github/fork/ForFishes/fix_memory_matmul
github/fork/ForFishes/rm_fluid
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github/fork/seiriosPlus/fix/paddle_errors_fix
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github/fork/shangzhizhou/fix_test_activation_op_random_bug
github/fork/smallv0221/yxp0924
github/fork/smallv0221/yxp0925
github/fork/swtkiwi/del-matplotlib
github/fork/tianshuo78520a/kunlun_test
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github/fork/wawltor/error_message_fix_5
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github/fork/windstamp/momentum_op
github/fork/windstamp/mv_op_5
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github/fork/wojtuss/wojtuss/fusion_gru_quantization
github/fork/wojtuss/wojtuss/quantization-with-shift
github/fork/wzzju/fix_err_info
github/fork/wzzju/pure_fp16
github/fork/xiemoyuan/op_error_message
github/fork/xiemoyuan/optimize_error_message
github/fork/yaoxuefeng6/fix_doc
github/fork/yaoxuefeng6/mod_dataset_v2
github/fork/yongqiangma/lod
github/fork/ysh329/fix-clip-by-norm-error
github/fork/ysh329/fix-error-clip-by-value
github/fork/yukavio/error_info
github/fork/zhangting2020/conv_filter_grad
github/fork/zhangting2020/is_compile_with_cuda
github/fork/zhangting2020/place_doc
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github/fork/zhhsplendid/fix_any
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github/fork/zhhsplendid/refine_api_test_resnet
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github/fork/zhiqiu/dev/refine_initializer
github/fork/zhiqiu/dev/remove_inplace_argument
github/fork/zlsh80826/nvinfer_plugin_var_len_cuda11
improve_sccache
incubate/frl_train_eval
incubate/infrt
incubate/lite
inplace_addto
layer_norm
make_flag_adding_easier
matmul_double_grad
move_embedding_to_phi
move_histogram_to_pten
move_sgd_to_phi
move_slice_to_pten
move_temporal_shift_to_phi
move_yolo_box_to_phi
npu_fix_alloc
numel
paddle_tiny_install
paralleltest
preln_ernie
prv-disable-more-cache
prv-md-even-more
prv-onednn-2.5
prv-reshape-mkldnn-ut2
pten_tensor_refactor
release/1.3
release/1.4
release/1.5
release/1.6
release/1.7
release/1.8
release/2.0
release/2.0-alpha
release/2.0-beta
release/2.0-rc
release/2.0-rc1
release/2.1
release/2.2
release/2.3
release/2.3-fc-ernie-fix
release/2.4
release/lite-0.1
revert-24981-add_device_attr_for_regulization
revert-26856-strategy_example2
revert-27520-disable_pr
revert-31068-fix_conv3d_windows
revert-31562-mean
revert-32290-develop-hardlabel
revert-33037-forci
revert-33475-fix_cifar_label_dimension
revert-33630-bug-fix
revert-34159-add_npu_bce_logical_dev
revert-34406-add_copy_from_tensor
revert-34910-spinlocks_for_allocator
revert-35069-revert-34910-spinlocks_for_allocator
revert-36057-dev/read_flags_in_ut
revert-36201-refine_fast_threaded_ssa_graph_executor
revert-36985-add_license
revert-37318-refactor_dygraph_to_eager
revert-37926-eager_coreops_500
revert-37956-revert-37727-pylayer_support_tuple
revert-38100-mingdong
revert-38301-allocation_rearrange_pr
revert-38703-numpy_bf16_package_reupload
revert-38732-remove_useless_header_in_elementwise_mul_grad
revert-38959-Reduce_Grad
revert-39143-adjust_empty
revert-39227-move_trace_op_to_pten
revert-39268-dev/remove_concat_fluid_kernel
revert-40170-support_partial_grad
revert-41056-revert-40727-move_some_activaion_to_phi
revert-41065-revert-40993-mv_ele_floordiv_pow
revert-41068-revert-40790-phi_new
revert-41944-smaller_inference_api_test
revert-42149-do-not-reset-default-stream-for-stream-safe-cuda-allocator
revert-43155-fix_ut_tempfile
revert-43882-revert-41944-smaller_inference_api_test
revert-45808-phi/simplify_size_op
revert-46827-deform_comment
revert-47325-remove_cudnn_hardcode
revert-47645-add_npu_storage_dims
revert-48815-set_free_when_no_cache_hit_default_value_true
revert-49654-prim_api_gen
revert-49763-fix_static_composite_gen
rocm_dev_0217
support-0D-sort
support_weight_transpose
test_benchmark_ci
test_feature_precision_test_c
test_for_Filtetfiles
test_model_benchmark
test_model_benchmark_ci
zhiqiu-patch-1
v2.4.1
v2.4.0
v2.4.0-rc0
v2.3.2
v2.3.1
v2.3.0
v2.3.0-rc0
v2.2.2
v2.2.1
v2.2.0
v2.2.0-rc0
v2.2.0-bak0
v2.1.3
v2.1.2
v2.1.1
v2.1.0
v2.1.0-rc0
v2.0.2
v2.0.1
v2.0.0
v2.0.0-rc1
v2.0.0-rc0
v2.0.0-beta0
v2.0.0-alpha0
v1.8.5
v1.8.4
v1.8.3
v1.8.2
v1.8.1
v1.8.0
v1.7.2
v1.7.1
v1.7.0
v1.6.3
v1.6.2
v1.6.1
v1.6.0
v1.6.0-rc0
v1.5.2
v1.5.1
v1.5.0
v1.4.1
v1.4.0
v1.3.2
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v1.3.0
lite-v0.1
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paddle/fluid/operators/jit/CMakeLists.txt
paddle/fluid/operators/jit/CMakeLists.txt
+1
-1
paddle/fluid/operators/jit/benchmark.cc
paddle/fluid/operators/jit/benchmark.cc
+70
-37
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paddle/fluid/operators/jit/CMakeLists.txt
浏览文件 @
b67584a6
...
@@ -21,5 +21,5 @@ endif()
...
@@ -21,5 +21,5 @@ endif()
cc_library
(
jit_kernel_helper SRCS
${
jit_kernel_cc_srcs
}
DEPS
${
JIT_KERNEL_DEPS
}
)
cc_library
(
jit_kernel_helper SRCS
${
jit_kernel_cc_srcs
}
DEPS
${
JIT_KERNEL_DEPS
}
)
cc_test
(
jit_kernel_test SRCS test.cc DEPS jit_kernel_helper
)
cc_test
(
jit_kernel_test SRCS test.cc DEPS jit_kernel_helper
)
if
(
NOT WIN32
)
if
(
NOT WIN32
)
cc_binary
(
jit_kernel_benchmark SRCS benchmark.cc DEPS jit_kernel_helper device_tracer
)
cc_binary
(
jit_kernel_benchmark SRCS benchmark.cc DEPS jit_kernel_helper device_tracer
tensor
)
endif
()
endif
()
This diff is collapsed.
Click to expand it.
paddle/fluid/operators/jit/benchmark.cc
浏览文件 @
b67584a6
...
@@ -18,6 +18,7 @@
...
@@ -18,6 +18,7 @@
#include <vector>
#include <vector>
#include "gflags/gflags.h"
#include "gflags/gflags.h"
#include "glog/logging.h"
#include "glog/logging.h"
#include "paddle/fluid/framework/tensor.h"
#include "paddle/fluid/operators/jit/kernels.h"
#include "paddle/fluid/operators/jit/kernels.h"
#include "paddle/fluid/platform/device_tracer.h"
#include "paddle/fluid/platform/device_tracer.h"
#include "paddle/fluid/platform/place.h"
#include "paddle/fluid/platform/place.h"
...
@@ -155,14 +156,22 @@ void BenchAllImpls(const typename KernelTuples::attr_type& attr, Args... args) {
...
@@ -155,14 +156,22 @@ void BenchAllImpls(const typename KernelTuples::attr_type& attr, Args... args) {
LOG
(
INFO
)
<<
loginfos
.
str
();
LOG
(
INFO
)
<<
loginfos
.
str
();
}
}
using
Tensor
=
paddle
::
framework
::
Tensor
;
template
<
paddle
::
operators
::
jit
::
KernelType
KT
,
typename
T
,
typename
PlaceType
>
template
<
paddle
::
operators
::
jit
::
KernelType
KT
,
typename
T
,
typename
PlaceType
>
void
BenchXYZNKernel
()
{
void
BenchXYZNKernel
()
{
for
(
int
d
:
TestSizes
())
{
for
(
int
d
:
TestSizes
())
{
std
::
vector
<
T
>
x
(
d
),
y
(
d
),
z
(
d
);
Tensor
x
,
y
,
z
;
RandomVec
<
T
>
(
d
,
x
.
data
());
x
.
Resize
({
d
});
RandomVec
<
T
>
(
d
,
y
.
data
());
y
.
Resize
({
d
});
BenchAllImpls
<
KT
,
jit
::
XYZNTuples
<
T
>
,
PlaceType
>
(
d
,
x
.
data
(),
y
.
data
(),
z
.
Resize
({
d
});
z
.
data
(),
d
);
T
*
x_data
=
x
.
mutable_data
<
T
>
(
PlaceType
());
T
*
y_data
=
y
.
mutable_data
<
T
>
(
PlaceType
());
T
*
z_data
=
z
.
mutable_data
<
T
>
(
PlaceType
());
RandomVec
<
T
>
(
d
,
x_data
);
RandomVec
<
T
>
(
d
,
y_data
);
BenchAllImpls
<
KT
,
jit
::
XYZNTuples
<
T
>
,
PlaceType
>
(
d
,
x
.
data
<
T
>
(),
y
.
data
<
T
>
(),
z_data
,
d
);
}
}
}
}
...
@@ -170,9 +179,13 @@ template <paddle::operators::jit::KernelType KT, typename T, typename PlaceType>
...
@@ -170,9 +179,13 @@ template <paddle::operators::jit::KernelType KT, typename T, typename PlaceType>
void
BenchAXYNKernel
()
{
void
BenchAXYNKernel
()
{
for
(
int
d
:
TestSizes
())
{
for
(
int
d
:
TestSizes
())
{
const
T
a
=
static_cast
<
T
>
(
3
);
const
T
a
=
static_cast
<
T
>
(
3
);
std
::
vector
<
T
>
x
(
d
),
y
(
d
);
Tensor
x
,
y
;
RandomVec
<
T
>
(
d
,
x
.
data
());
x
.
Resize
({
d
});
BenchAllImpls
<
KT
,
jit
::
AXYNTuples
<
T
>
,
PlaceType
>
(
d
,
&
a
,
x
.
data
(),
y
.
data
(),
y
.
Resize
({
d
});
T
*
x_data
=
x
.
mutable_data
<
T
>
(
PlaceType
());
T
*
y_data
=
y
.
mutable_data
<
T
>
(
PlaceType
());
RandomVec
<
T
>
(
d
,
x_data
);
BenchAllImpls
<
KT
,
jit
::
AXYNTuples
<
T
>
,
PlaceType
>
(
d
,
&
a
,
x
.
data
<
T
>
(),
y_data
,
d
);
d
);
}
}
}
}
...
@@ -180,9 +193,13 @@ void BenchAXYNKernel() {
...
@@ -180,9 +193,13 @@ void BenchAXYNKernel() {
template
<
paddle
::
operators
::
jit
::
KernelType
KT
,
typename
T
,
typename
PlaceType
>
template
<
paddle
::
operators
::
jit
::
KernelType
KT
,
typename
T
,
typename
PlaceType
>
void
BenchXYNKernel
()
{
void
BenchXYNKernel
()
{
for
(
int
d
:
TestSizes
())
{
for
(
int
d
:
TestSizes
())
{
std
::
vector
<
T
>
x
(
d
),
y
(
d
);
Tensor
x
,
y
;
RandomVec
<
T
>
(
d
,
x
.
data
());
x
.
Resize
({
d
});
BenchAllImpls
<
KT
,
jit
::
XYNTuples
<
T
>
,
PlaceType
>
(
d
,
x
.
data
(),
y
.
data
(),
d
);
y
.
Resize
({
d
});
T
*
x_data
=
x
.
mutable_data
<
T
>
(
PlaceType
());
T
*
y_data
=
y
.
mutable_data
<
T
>
(
PlaceType
());
RandomVec
<
T
>
(
d
,
x_data
);
BenchAllImpls
<
KT
,
jit
::
XYNTuples
<
T
>
,
PlaceType
>
(
d
,
x
.
data
<
T
>
(),
y_data
,
d
);
}
}
}
}
...
@@ -192,16 +209,23 @@ void BenchLSTMKernel() {
...
@@ -192,16 +209,23 @@ void BenchLSTMKernel() {
for
(
int
d
:
TestSizes
())
{
for
(
int
d
:
TestSizes
())
{
const
jit
::
lstm_attr_t
attr
(
d
,
jit
::
kVSigmoid
,
jit
::
kVTanh
,
jit
::
kVTanh
,
const
jit
::
lstm_attr_t
attr
(
d
,
jit
::
kVSigmoid
,
jit
::
kVTanh
,
jit
::
kVTanh
,
use_peephole
);
use_peephole
);
std
::
vector
<
T
>
x
(
4
*
d
),
ct_1
(
d
),
ct
(
d
),
ht
(
d
),
wp
(
3
*
d
),
checked
(
2
*
d
);
Tensor
x
,
ct_1
,
ct
,
ht
,
wp
,
checked
;
RandomVec
<
T
>
(
4
*
d
,
x
.
data
(),
-
2.
f
,
2.
f
);
x
.
Resize
({
4
*
d
});
RandomVec
<
T
>
(
3
*
d
,
wp
.
data
(),
-
2.
f
,
2.
f
);
ct_1
.
Resize
({
d
});
RandomVec
<
T
>
(
d
,
ct_1
.
data
(),
-
2.
f
,
2.
f
);
ct
.
Resize
({
d
});
const
T
*
ct_1_data
=
ct_1
.
data
();
ht
.
Resize
({
d
});
const
T
*
wp_data
=
wp
.
data
();
wp
.
Resize
({
3
*
d
});
T
*
x_data
=
x
.
data
();
checked
.
Resize
({
2
*
d
});
T
*
checked_data
=
checked
.
data
();
auto
place
=
PlaceType
();
T
*
ct_data
=
ct
.
data
();
RandomVec
<
T
>
(
x
.
numel
(),
x
.
mutable_data
<
T
>
(
place
),
-
2.
f
,
2.
f
);
T
*
ht_data
=
ht
.
data
();
RandomVec
<
T
>
(
wp
.
numel
(),
wp
.
mutable_data
<
T
>
(
place
),
-
2.
f
,
2.
f
);
RandomVec
<
T
>
(
ct_1
.
numel
(),
ct_1
.
mutable_data
<
T
>
(
place
),
-
2.
f
,
2.
f
);
const
T
*
ct_1_data
=
ct_1
.
data
<
T
>
();
const
T
*
wp_data
=
wp
.
data
<
T
>
();
T
*
x_data
=
x
.
mutable_data
<
T
>
(
place
);
T
*
checked_data
=
checked
.
mutable_data
<
T
>
(
place
);
T
*
ct_data
=
ct
.
mutable_data
<
T
>
(
place
);
T
*
ht_data
=
ht
.
mutable_data
<
T
>
(
place
);
jit
::
lstm_t
step
;
jit
::
lstm_t
step
;
step
.
gates
=
x_data
;
step
.
gates
=
x_data
;
step
.
ct_1
=
ct_1_data
;
step
.
ct_1
=
ct_1_data
;
...
@@ -220,12 +244,16 @@ template <paddle::operators::jit::KernelType KT, typename T, typename PlaceType>
...
@@ -220,12 +244,16 @@ template <paddle::operators::jit::KernelType KT, typename T, typename PlaceType>
void
BenchGRUKernel
()
{
void
BenchGRUKernel
()
{
for
(
int
d
:
TestSizes
())
{
for
(
int
d
:
TestSizes
())
{
const
jit
::
gru_attr_t
attr
(
d
,
jit
::
kVSigmoid
,
jit
::
kVTanh
);
const
jit
::
gru_attr_t
attr
(
d
,
jit
::
kVSigmoid
,
jit
::
kVTanh
);
std
::
vector
<
T
>
x
(
3
*
d
),
ht_1
(
d
),
ht
(
d
);
auto
place
=
PlaceType
();
RandomVec
<
T
>
(
3
*
d
,
x
.
data
(),
-
2.
f
,
2.
f
);
Tensor
x
,
ht_1
,
ht
;
RandomVec
<
T
>
(
d
,
ht_1
.
data
(),
-
2.
f
,
2.
f
);
x
.
Resize
({
3
*
d
});
const
T
*
ht_1_data
=
ht_1
.
data
();
ht_1
.
Resize
({
d
});
T
*
x_data
=
x
.
data
();
ht
.
Resize
({
d
});
T
*
ht_data
=
ht
.
data
();
RandomVec
<
T
>
(
3
*
d
,
x
.
mutable_data
<
T
>
(
place
),
-
2.
f
,
2.
f
);
RandomVec
<
T
>
(
d
,
ht_1
.
mutable_data
<
T
>
(
place
),
-
2.
f
,
2.
f
);
const
T
*
ht_1_data
=
ht_1
.
data
<
T
>
();
T
*
x_data
=
x
.
mutable_data
<
T
>
(
place
);
T
*
ht_data
=
ht
.
mutable_data
<
T
>
(
place
);
jit
::
gru_t
step
;
jit
::
gru_t
step
;
step
.
gates
=
x_data
;
step
.
gates
=
x_data
;
step
.
ht_1
=
ht_1_data
;
step
.
ht_1
=
ht_1_data
;
...
@@ -243,10 +271,12 @@ void BenchSeqPoolKernel() {
...
@@ -243,10 +271,12 @@ void BenchSeqPoolKernel() {
jit
::
seq_pool_attr_t
attr
(
w
,
type
);
jit
::
seq_pool_attr_t
attr
(
w
,
type
);
for
(
int
h
:
TestSizes
())
{
for
(
int
h
:
TestSizes
())
{
attr
.
h
=
h
;
attr
.
h
=
h
;
std
::
vector
<
T
>
x
(
h
*
w
),
y
(
w
);
Tensor
x
,
y
;
RandomVec
<
T
>
(
h
*
w
,
x
.
data
(),
-
2.
f
,
2.
f
);
x
.
Resize
({
h
*
w
});
const
T
*
x_data
=
x
.
data
();
y
.
Resize
({
w
});
T
*
y_data
=
y
.
data
();
RandomVec
<
T
>
(
h
*
w
,
x
.
mutable_data
<
T
>
(
PlaceType
()),
-
2.
f
,
2.
f
);
const
T
*
x_data
=
x
.
data
<
T
>
();
T
*
y_data
=
y
.
mutable_data
<
T
>
(
PlaceType
());
BenchAllImpls
<
KT
,
jit
::
SeqPoolTuples
<
T
>
,
PlaceType
>
(
attr
,
x_data
,
BenchAllImpls
<
KT
,
jit
::
SeqPoolTuples
<
T
>
,
PlaceType
>
(
attr
,
x_data
,
y_data
,
&
attr
);
y_data
,
&
attr
);
}
}
...
@@ -259,12 +289,15 @@ void BenchMatMulKernel() {
...
@@ -259,12 +289,15 @@ void BenchMatMulKernel() {
for
(
int
m
:
{
1
,
2
,
3
,
4
})
{
for
(
int
m
:
{
1
,
2
,
3
,
4
})
{
for
(
int
n
:
TestSizes
())
{
for
(
int
n
:
TestSizes
())
{
for
(
int
k
:
TestSizes
())
{
for
(
int
k
:
TestSizes
())
{
std
::
vector
<
T
>
a
(
m
*
k
),
b
(
k
*
n
),
c
(
m
*
n
);
Tensor
a
,
b
,
c
;
RandomVec
<
T
>
(
m
*
k
,
a
.
data
(),
-
2.
f
,
2.
f
);
a
.
Resize
({
m
*
k
});
RandomVec
<
T
>
(
k
*
n
,
b
.
data
(),
-
2.
f
,
2.
f
);
b
.
Resize
({
k
*
n
});
const
T
*
a_data
=
a
.
data
();
c
.
Resize
({
m
*
n
});
const
T
*
b_data
=
b
.
data
();
RandomVec
<
T
>
(
m
*
k
,
a
.
mutable_data
<
T
>
(
PlaceType
()),
-
2.
f
,
2.
f
);
T
*
c_data
=
c
.
data
();
RandomVec
<
T
>
(
k
*
n
,
b
.
mutable_data
<
T
>
(
PlaceType
()),
-
2.
f
,
2.
f
);
const
T
*
a_data
=
a
.
data
<
T
>
();
const
T
*
b_data
=
b
.
data
<
T
>
();
T
*
c_data
=
c
.
mutable_data
<
T
>
(
PlaceType
());
BenchAllImpls
<
KT
,
jit
::
MatMulTuples
<
T
>
,
PlaceType
>
(
k
,
a_data
,
b_data
,
BenchAllImpls
<
KT
,
jit
::
MatMulTuples
<
T
>
,
PlaceType
>
(
k
,
a_data
,
b_data
,
c_data
,
m
,
n
,
k
);
c_data
,
m
,
n
,
k
);
}
}
...
...
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