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体验新版 GitCode,发现更多精彩内容 >>
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1785605f
编写于
5月 15, 2020
作者:
J
Jason
提交者:
GitHub
5月 15, 2020
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Merge pull request #53 from SunAhong1993/syf_slim
add quant log
上级
843495f8
2df3f722
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
86 addition
and
8 deletion
+86
-8
paddlex/cv/models/slim/post_quantization.py
paddlex/cv/models/slim/post_quantization.py
+86
-8
未找到文件。
paddlex/cv/models/slim/post_quantization.py
浏览文件 @
1785605f
...
@@ -19,6 +19,9 @@ from paddle.fluid.contrib.slim.quantization import PostTrainingQuantization
...
@@ -19,6 +19,9 @@ from paddle.fluid.contrib.slim.quantization import PostTrainingQuantization
import
paddlex.utils.logging
as
logging
import
paddlex.utils.logging
as
logging
import
paddle.fluid
as
fluid
import
paddle.fluid
as
fluid
import
os
import
os
import
re
import
numpy
as
np
import
time
class
PaddleXPostTrainingQuantization
(
PostTrainingQuantization
):
class
PaddleXPostTrainingQuantization
(
PostTrainingQuantization
):
...
@@ -123,28 +126,37 @@ class PaddleXPostTrainingQuantization(PostTrainingQuantization):
...
@@ -123,28 +126,37 @@ class PaddleXPostTrainingQuantization(PostTrainingQuantization):
the program of quantized model.
the program of quantized model.
'''
'''
self
.
_preprocess
()
self
.
_preprocess
()
batch_ct
=
0
for
data
in
self
.
_data_loader
():
batch_ct
+=
1
if
self
.
_batch_nums
and
batch_ct
>=
self
.
_batch_nums
:
break
batch_id
=
0
batch_id
=
0
logging
.
info
(
"Start to run batch!"
)
for
data
in
self
.
_data_loader
():
for
data
in
self
.
_data_loader
():
start
=
time
.
time
()
self
.
_executor
.
run
(
self
.
_executor
.
run
(
program
=
self
.
_program
,
program
=
self
.
_program
,
feed
=
data
,
feed
=
data
,
fetch_list
=
self
.
_fetch_list
,
fetch_list
=
self
.
_fetch_list
,
return_numpy
=
False
)
return_numpy
=
False
)
self
.
_sample_data
(
batch_id
)
self
.
_sample_data
(
batch_id
)
end
=
time
.
time
()
if
batch_id
%
5
==
0
:
logging
.
debug
(
'[Run batch data] Batch={}/{}, time_each_batch={} s.'
.
format
(
logging
.
info
(
"run batch: {}"
.
format
(
batch_id
))
str
(
batch_id
+
1
),
str
(
batch_ct
),
str
(
end
-
start
)))
batch_id
+=
1
batch_id
+=
1
if
self
.
_batch_nums
and
batch_id
>=
self
.
_batch_nums
:
if
self
.
_batch_nums
and
batch_id
>=
self
.
_batch_nums
:
break
break
logging
.
info
(
"
a
ll run batch: "
.
format
(
batch_id
))
logging
.
info
(
"
A
ll run batch: "
.
format
(
batch_id
))
logging
.
info
(
"
c
alculate scale factor ..."
)
logging
.
info
(
"
C
alculate scale factor ..."
)
self
.
_calculate_scale_factor
()
self
.
_calculate_scale_factor
()
logging
.
info
(
"
u
pdate the program ..."
)
logging
.
info
(
"
U
pdate the program ..."
)
self
.
_update_program
()
self
.
_update_program
()
logging
.
info
(
"Save ..."
)
self
.
_save_output_scale
()
self
.
_save_output_scale
()
logging
.
info
(
"Finish quant!"
)
return
self
.
_program
return
self
.
_program
def
save_quantized_model
(
self
,
save_model_path
):
def
save_quantized_model
(
self
,
save_model_path
):
...
@@ -221,3 +233,69 @@ class PaddleXPostTrainingQuantization(PostTrainingQuantization):
...
@@ -221,3 +233,69 @@ class PaddleXPostTrainingQuantization(PostTrainingQuantization):
for
var
in
self
.
_program
.
list_vars
():
for
var
in
self
.
_program
.
list_vars
():
if
var
.
name
in
self
.
_quantized_act_var_name
:
if
var
.
name
in
self
.
_quantized_act_var_name
:
var
.
persistable
=
True
var
.
persistable
=
True
def
_calculate_scale_factor
(
self
):
'''
Calculate the scale factor of quantized variables.
'''
# apply channel_wise_abs_max quantization for weights
ct
=
1
for
var_name
in
self
.
_quantized_weight_var_name
:
start
=
time
.
time
()
data
=
self
.
_sampling_data
[
var_name
]
scale_factor_per_channel
=
[]
for
i
in
range
(
data
.
shape
[
0
]):
abs_max_value
=
np
.
max
(
np
.
abs
(
data
[
i
]))
scale_factor_per_channel
.
append
(
abs_max_value
)
self
.
_quantized_var_scale_factor
[
var_name
]
=
scale_factor_per_channel
end
=
time
.
time
()
logging
.
debug
(
'[Calculate weight] Weight_id={}/{}, time_each_weight={} s.'
.
format
(
str
(
ct
),
str
(
len
(
self
.
_quantized_weight_var_name
)),
str
(
end
-
start
)))
ct
+=
1
ct
=
1
# apply kl quantization for activation
if
self
.
_is_use_cache_file
:
for
var_name
in
self
.
_quantized_act_var_name
:
start
=
time
.
time
()
sampling_data
=
[]
filenames
=
[
f
for
f
in
os
.
listdir
(
self
.
_cache_dir
)
\
if
re
.
match
(
var_name
+
'_[0-9]+.npy'
,
f
)]
for
filename
in
filenames
:
file_path
=
os
.
path
.
join
(
self
.
_cache_dir
,
filename
)
sampling_data
.
append
(
np
.
load
(
file_path
))
os
.
remove
(
file_path
)
sampling_data
=
np
.
concatenate
(
sampling_data
)
if
self
.
_algo
==
"KL"
:
self
.
_quantized_var_scale_factor
[
var_name
]
=
\
self
.
_get_kl_scaling_factor
(
np
.
abs
(
sampling_data
))
else
:
self
.
_quantized_var_scale_factor
[
var_name
]
=
\
np
.
max
(
np
.
abs
(
sampling_data
))
end
=
time
.
time
()
logging
.
debug
(
'[Calculate activation] Activation_id={}/{}, time_each_activation={} s.'
.
format
(
str
(
ct
),
str
(
len
(
self
.
_quantized_act_var_name
)),
str
(
end
-
start
)))
ct
+=
1
else
:
for
var_name
in
self
.
_quantized_act_var_name
:
start
=
time
.
time
()
self
.
_sampling_data
[
var_name
]
=
np
.
concatenate
(
self
.
_sampling_data
[
var_name
])
if
self
.
_algo
==
"KL"
:
self
.
_quantized_var_scale_factor
[
var_name
]
=
\
self
.
_get_kl_scaling_factor
(
np
.
abs
(
self
.
_sampling_data
[
var_name
]))
else
:
self
.
_quantized_var_scale_factor
[
var_name
]
=
\
np
.
max
(
np
.
abs
(
self
.
_sampling_data
[
var_name
]))
end
=
time
.
time
()
logging
.
debug
(
'[Calculate activation] Activation_id={}/{}, time_each_activation={} s.'
.
format
(
str
(
ct
),
str
(
len
(
self
.
_quantized_act_var_name
)),
str
(
end
-
start
)))
ct
+=
1
\ No newline at end of file
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