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体验新版 GitCode,发现更多精彩内容 >>
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03b1e4be
编写于
8月 30, 2018
作者:
F
fengjiayi
提交者:
GitHub
8月 30, 2018
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差异文件
Merge pull request #13047 from JiayiFeng/dev_mem_analyse
refine memory usage calc
上级
0a97d24b
d2d082db
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
26 addition
and
12 deletion
+26
-12
python/paddle/fluid/contrib/memory_usage_calc.py
python/paddle/fluid/contrib/memory_usage_calc.py
+26
-12
未找到文件。
python/paddle/fluid/contrib/memory_usage_calc.py
浏览文件 @
03b1e4be
...
@@ -70,23 +70,37 @@ def memory_usage(program, batch_size):
...
@@ -70,23 +70,37 @@ def memory_usage(program, batch_size):
if
not
isinstance
(
program
,
Program
):
if
not
isinstance
(
program
,
Program
):
raise
TypeError
(
raise
TypeError
(
"Calculating Memory Usage requires Program as its Parameter."
"Calculating Memory Usage requires Program as its Parameter."
"But you passed in %s"
%
(
type
(
prgram
)))
"But you passed in %s"
%
(
type
(
pr
o
gram
)))
if
batch_size
<=
0
:
if
batch_size
<=
0
:
raise
ValueError
(
"The batch size need to be positive."
)
raise
ValueError
(
"The batch size need to be positive."
)
# Get the var_name list of first block and calculate
# Get the var_name list of first block and calculate
total_memory
=
0.0
total_memory
=
0.0
for
var
in
six
.
itervalues
(
program
.
global_block
().
vars
):
processed_var_names
=
set
()
data_count
=
1
for
op
in
program
.
global_block
().
ops
:
for
x
in
var
.
shape
:
for
var_name
in
op
.
output_arg_names
:
if
x
==
-
1
:
if
var_name
in
processed_var_names
:
data_count
*=
batch_size
continue
else
:
processed_var_names
.
add
(
var_name
)
data_count
*=
x
var
=
program
.
global_block
().
vars
[
var_name
]
var_memory
=
data_count
*
dtype_to_size
[
var
.
dtype
]
if
var
.
desc
.
type
()
!=
core
.
VarDesc
.
VarType
.
LOD_TENSOR
:
if
DEBUG
:
continue
print
(
"%s memory usage: %d"
%
(
var
.
name
,
var_memory
))
total_memory
+=
var_memory
data_count
=
1
neg_dim_count
=
0
for
x
in
var
.
shape
:
if
x
<
0
:
if
neg_dim_count
>=
1
:
raise
ValueError
(
"Var %s has more than one negtive dim."
%
(
var_name
))
neg_dim_count
+=
1
data_count
*=
batch_size
*
(
-
x
)
else
:
data_count
*=
x
var_memory
=
data_count
*
dtype_to_size
[
var
.
dtype
]
if
DEBUG
:
print
(
"%s memory usage: %d"
%
(
var
.
name
,
var_memory
))
total_memory
+=
var_memory
if
DEBUG
:
if
DEBUG
:
print
(
"total memory usage: %.2f"
%
(
total_memory
))
print
(
"total memory usage: %.2f"
%
(
total_memory
))
...
...
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