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体验新版 GitCode,发现更多精彩内容 >>
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bd636a9e
编写于
4月 03, 2019
作者:
L
luotao1
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
test_analyzer_int8 tests use default pass order
test=develop
上级
229dc932
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
17 addition
and
21 deletion
+17
-21
paddle/fluid/inference/api/paddle_pass_builder.cc
paddle/fluid/inference/api/paddle_pass_builder.cc
+7
-4
paddle/fluid/inference/tests/api/analyzer_int8_image_classification_tester.cc
...ce/tests/api/analyzer_int8_image_classification_tester.cc
+4
-11
paddle/fluid/inference/tests/api/tester_helper.h
paddle/fluid/inference/tests/api/tester_helper.h
+6
-6
未找到文件。
paddle/fluid/inference/api/paddle_pass_builder.cc
浏览文件 @
bd636a9e
...
...
@@ -86,7 +86,8 @@ const std::vector<std::string> kAnakinSubgraphPasses({
GpuPassStrategy
::
GpuPassStrategy
()
:
PassStrategy
({})
{
passes_
.
assign
({
"infer_clean_graph_pass"
,
//
"infer_clean_graph_pass"
,
//
"runtime_context_cache_pass"
,
//
// "identity_scale_op_clean_pass", //
"conv_affine_channel_fuse_pass"
,
//
"conv_eltwiseadd_affine_channel_fuse_pass"
,
//
...
...
@@ -96,7 +97,6 @@ GpuPassStrategy::GpuPassStrategy() : PassStrategy({}) {
"conv_elementwise_add_act_fuse_pass"
,
//
"conv_elementwise_add2_act_fuse_pass"
,
//
"conv_elementwise_add_fuse_pass"
,
//
"runtime_context_cache_pass"
,
//
#endif //
"transpose_flatten_concat_fuse_pass"
,
});
...
...
@@ -116,7 +116,11 @@ CpuPassStrategy::CpuPassStrategy() : PassStrategy({}) {
// NOTE the large fusions should be located in the front, so that they will
// not be damaged by smaller ones.
passes_
.
assign
({
"infer_clean_graph_pass"
,
//
"infer_clean_graph_pass"
,
//
// TODO(luotao): runtime_context_cache_pass should be located in the
// front, see https://github.com/PaddlePaddle/Paddle/issues/16609,
// will enhance this pass later.
"runtime_context_cache_pass"
,
//
"attention_lstm_fuse_pass"
,
//
"seqpool_concat_fuse_pass"
,
//
"seqconv_eltadd_relu_fuse_pass"
,
//
...
...
@@ -132,7 +136,6 @@ CpuPassStrategy::CpuPassStrategy() : PassStrategy({}) {
"conv_bn_fuse_pass"
,
//
"conv_eltwiseadd_bn_fuse_pass"
,
//
"is_test_pass"
,
//
"runtime_context_cache_pass"
,
//
});
use_gpu_
=
false
;
...
...
paddle/fluid/inference/tests/api/analyzer_int8_image_classification_tester.cc
浏览文件 @
bd636a9e
...
...
@@ -23,18 +23,11 @@ namespace analysis {
void
SetConfig
(
AnalysisConfig
*
cfg
)
{
cfg
->
SetModel
(
FLAGS_infer_model
);
cfg
->
SetProgFile
(
"__model__"
);
cfg
->
DisableGpu
();
cfg
->
SwitchIrOptim
();
cfg
->
SwitchSpecifyInputNames
(
false
);
cfg
->
SwitchSpecifyInputNames
();
cfg
->
SetCpuMathLibraryNumThreads
(
FLAGS_paddle_num_threads
);
cfg
->
EnableMKLDNN
();
cfg
->
pass_builder
()
->
SetPasses
(
{
"infer_clean_graph_pass"
,
"mkldnn_placement_pass"
,
"depthwise_conv_mkldnn_pass"
,
"conv_bn_fuse_pass"
,
"conv_eltwiseadd_bn_fuse_pass"
,
"conv_bias_mkldnn_fuse_pass"
,
"conv_elementwise_add_mkldnn_fuse_pass"
,
"conv_relu_mkldnn_fuse_pass"
,
"fc_fuse_pass"
,
"is_test_pass"
});
}
template
<
typename
T
>
...
...
@@ -84,13 +77,13 @@ std::shared_ptr<std::vector<PaddleTensor>> GetWarmupData(
std
::
to_string
(
num_images
)
+
" is bigger than all test data size."
);
PaddleTensor
images
;
images
.
name
=
"i
nput
"
;
images
.
name
=
"i
mage
"
;
images
.
shape
=
{
num_images
,
3
,
224
,
224
};
images
.
dtype
=
PaddleDType
::
FLOAT32
;
images
.
data
.
Resize
(
sizeof
(
float
)
*
num_images
*
3
*
224
*
224
);
PaddleTensor
labels
;
labels
.
name
=
"label
s
"
;
labels
.
name
=
"label"
;
labels
.
shape
=
{
num_images
,
1
};
labels
.
dtype
=
PaddleDType
::
INT64
;
labels
.
data
.
Resize
(
sizeof
(
int64_t
)
*
num_images
);
...
...
@@ -132,7 +125,7 @@ void SetInput(std::vector<std::vector<PaddleTensor>> *inputs,
images_offset_in_file
+
sizeof
(
float
)
*
total_images
*
3
*
224
*
224
;
TensorReader
<
float
>
image_reader
(
file
,
images_offset_in_file
,
image_batch_shape
,
"i
nput
"
);
image_batch_shape
,
"i
mage
"
);
TensorReader
<
int64_t
>
label_reader
(
file
,
labels_offset_in_file
,
label_batch_shape
,
"label"
);
...
...
paddle/fluid/inference/tests/api/tester_helper.h
浏览文件 @
bd636a9e
...
...
@@ -316,7 +316,8 @@ void PredictionRun(PaddlePredictor *predictor,
int
num_threads
,
int
tid
)
{
int
num_times
=
FLAGS_repeat
;
int
iterations
=
inputs
.
size
();
// process the whole dataset ...
if
(
FLAGS_iterations
>
0
&&
FLAGS_iterations
<
inputs
.
size
())
if
(
FLAGS_iterations
>
0
&&
FLAGS_iterations
<
static_cast
<
int64_t
>
(
inputs
.
size
()))
iterations
=
FLAGS_iterations
;
// ... unless the number of iterations is set
outputs
->
resize
(
iterations
);
...
...
@@ -329,14 +330,14 @@ void PredictionRun(PaddlePredictor *predictor,
#endif
if
(
!
FLAGS_zero_copy
)
{
run_timer
.
tic
();
for
(
size_
t
i
=
0
;
i
<
iterations
;
i
++
)
{
for
(
in
t
i
=
0
;
i
<
iterations
;
i
++
)
{
for
(
int
j
=
0
;
j
<
num_times
;
j
++
)
{
predictor
->
Run
(
inputs
[
i
],
&
(
*
outputs
)[
i
],
FLAGS_batch_size
);
}
}
elapsed_time
=
run_timer
.
toc
();
}
else
{
for
(
size_
t
i
=
0
;
i
<
iterations
;
i
++
)
{
for
(
in
t
i
=
0
;
i
<
iterations
;
i
++
)
{
ConvertPaddleTensorToZeroCopyTensor
(
predictor
,
inputs
[
i
]);
run_timer
.
tic
();
for
(
int
j
=
0
;
j
<
num_times
;
j
++
)
{
...
...
@@ -366,9 +367,8 @@ void TestOneThreadPrediction(
const
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
&
inputs
,
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
*
outputs
,
bool
use_analysis
=
true
)
{
auto
predictor
=
CreateTestPredictor
(
config
,
use_analysis
);
PredictionWarmUp
(
predictor
.
get
(),
inputs
,
outputs
,
FLAGS_paddle_num_threads
,
0
);
PredictionRun
(
predictor
.
get
(),
inputs
,
outputs
,
FLAGS_paddle_num_threads
,
0
);
PredictionWarmUp
(
predictor
.
get
(),
inputs
,
outputs
,
1
,
0
);
PredictionRun
(
predictor
.
get
(),
inputs
,
outputs
,
1
,
0
);
}
void
TestMultiThreadPrediction
(
...
...
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