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PaddleDetection
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1a0fc5d8
P
PaddleDetection
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体验新版 GitCode,发现更多精彩内容 >>
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1a0fc5d8
编写于
12月 21, 2017
作者:
F
fengjiayi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add the simple support of no_grad_set
上级
278ac7be
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
51 addition
and
23 deletion
+51
-23
paddle/pybind/pybind.cc
paddle/pybind/pybind.cc
+2
-1
python/paddle/v2/fluid/backward.py
python/paddle/v2/fluid/backward.py
+49
-22
未找到文件。
paddle/pybind/pybind.cc
浏览文件 @
1a0fc5d8
...
...
@@ -314,7 +314,8 @@ All parameter, weight, gradient are variables in Paddle.
InferenceOptimize
(
*
(
origin
.
Proto
()),
&
pruned_desc
);
return
new
ProgramDescBind
(
pruned_desc
);
});
m
.
def
(
"get_empty_var_name"
,
[]()
{
return
framework
::
kEmptyVarName
;
});
m
.
def
(
"empty_var_name"
,
[]()
{
return
framework
::
kEmptyVarName
;
});
m
.
def
(
"grad_var_suffix"
,
[]()
{
return
framework
::
kGradVarSuffix
;
});
m
.
def_submodule
(
"var_names"
,
"The module will return special predefined variable name in Paddle"
)
...
...
python/paddle/v2/fluid/backward.py
浏览文件 @
1a0fc5d8
...
...
@@ -32,12 +32,27 @@ def _create_op_desc_(op_type, inputs, outputs, attrs):
return
op_desc
def
backward_impl
(
target
,
block
,
target_block
,
no_grad_set
,
grad_info_map
,
callback
=
None
):
def
_is_all_in_set_
(
cands
,
s
):
for
c
in
cands
:
if
not
c
in
s
:
return
False
return
True
def
_strip_grad_suffix_
(
name
):
return
name
[:
name
.
find
(
core
.
grad_var_suffix
())]
def
_append_grad_suffix_
(
name
):
return
name
+
core
.
grad_var_suffix
()
def
_backward_impl_
(
target
,
block
,
target_block
,
no_grad_set
,
grad_info_map
,
callback
=
None
):
grad_op_descs
=
[]
grad_to_var
=
dict
()
program
=
block
.
program
...
...
@@ -47,8 +62,8 @@ def backward_impl(target,
sub_block_idx
=
each_op
.
block_attr
(
"sub_block"
)
sub_block
=
program
.
block
(
sub_block_idx
)
grad_sub_block
=
program
.
create_block
(
parent_idx
=
sub_block_idx
)
backward_impl
(
target
,
sub_block
,
grad_sub_block
,
no_grad_set
,
grad_info_map
,
callback
)
_backward_impl_
(
target
,
sub_block
,
grad_sub_block
,
no_grad_set
,
grad_info_map
,
callback
)
grad_sub_block_list
.
append
(
grad_sub_block
)
grad_op_desc
,
op_grad_to_var
=
core
.
get_grad_op_desc
(
each_op
.
desc
,
no_grad_set
[
block
.
idx
],
grad_sub_block_list
)
...
...
@@ -61,14 +76,14 @@ def backward_impl(target,
pending_sum_ops
=
[]
var_rename_count
=
collections
.
defaultdict
(
int
)
var_inputs
=
collections
.
defaultdict
(
list
)
for
pos
,
op_desc
in
enumerate
(
grad_op_descs
):
for
idx
,
op_desc
in
enumerate
(
grad_op_descs
):
for
var_name
in
op_desc
.
input_arg_names
():
if
len
(
var_inputs
[
var_name
])
>
1
:
pending_sum_ops
.
append
((
_create_op_desc_
(
op_type
=
"sum_op"
,
inputs
=
var_inputs
[
var_name
],
outputs
=
[
var_name
],
attrs
=
{}),
pos
))
attrs
=
{}),
idx
))
var_inputs
[
var_name
]
=
[
var_name
]
for
var_name
in
op_desc
.
output_arg_names
():
if
len
(
var_inputs
[
var_name
])
==
0
:
...
...
@@ -81,7 +96,7 @@ def backward_impl(target,
var_rename_count
[
var_name
]
=
var_rename_count
[
var_name
]
+
1
# rename original var_name
var_inputs
[
var_name
][
0
]
=
new_name
_rename_arg_
(
grad_op_descs
,
var_name
,
new_name
,
0
,
pos
)
_rename_arg_
(
grad_op_descs
,
var_name
,
new_name
,
0
,
idx
)
_rename_arg_
(
pending_sum_ops
,
var_name
,
new_name
)
new_name
=
var_name
+
"@RENAME@"
+
\
...
...
@@ -96,18 +111,31 @@ def backward_impl(target,
inputs
=
{
"X"
:
inputs
},
outputs
=
{
"Out"
:
var_name
},
attrs
=
{}),
len
(
grad_op_descs
)))
# TODO: remove op in no grad set
# 根据append的顺序可以看出pending_sum_ops一定是根据sum_op的插入位置排序的
for
p
in
reversed
(
pending_sum_ops
):
grad_op_descs
.
insert
(
p
[
1
],
p
[
0
])
# Remove ops whose outputs are all in no_grad_set
grad_op_descs
=
filter
(
lambda
op_desc
:
not
_is_all_in_set_
(
op_desc
.
output_arg_names
(),
no_grad_set
[
block
.
idx
]),
grad_op_descs
)
# Insert fill_zeros_like_op
to_insert
=
[]
for
idx
,
op_desc
in
enumerate
(
grad_op_descs
):
for
arg
in
op_desc
.
input_arg_names
():
if
arg
in
no_grad_set
[
block
.
idx
]:
to_insert
.
append
((
arg
,
idx
))
for
ele
in
reversed
(
to_insert
):
arg
=
ele
[
0
]
fill_zeros_like_op
=
_create_op_desc_
(
"fill_zeros_like"
,
{
"X"
:
[
_strip_grad_suffix_
(
arg
)]},
{
"Y"
:
[
arg
]},
{})
grad_op_descs
.
insert
(
ele
[
1
],
fill_zeros_like_op
)
# create new gradient variables in the target block desc
for
op_desc
in
grad_op_descs
:
for
grad_var_name
in
op_desc
.
output_arg_names
():
grad_var_name
=
grad_var_name
.
encode
(
"ascii"
)
if
target_block
.
desc
.
has_var
(
grad_var_name
)
or
grad_var_name
==
core
.
get_empty_var_name
(
):
grad_var_name
)
or
grad_var_name
==
core
.
empty_var_name
():
continue
target_block
.
desc
.
var
(
grad_var_name
)
if
not
grad_to_var
.
has_key
(
grad_var_name
):
...
...
@@ -115,8 +143,8 @@ def backward_impl(target,
grad_info_map
[
grad_to_var
[
grad_var_name
]]
=
(
grad_var_name
,
target_block
)
if
target_block
.
idx
==
0
:
grad_target_name
=
(
target
.
name
+
"@GRAD"
)
target_block
.
desc
.
var
(
grad_target_name
)
grad_target_name
=
_append_grad_suffix_
(
target
.
name
)
target_block
.
desc
.
var
(
grad_target_name
.
encode
(
"ascii"
)
)
grad_op_descs
.
insert
(
0
,
_create_op_desc_
(
...
...
@@ -134,7 +162,6 @@ def backward_impl(target,
op_desc
.
infer_shape
(
target_block
.
desc
)
target_block
.
desc
.
append_allocated_op
(
op_desc
)
pdb
.
set_trace
()
target_block
.
sync_with_cpp
()
...
...
@@ -165,14 +192,14 @@ def append_backward_ops(loss, parameter_list=None, no_grad_set=None):
for
var
in
block
.
vars
.
itervalues
():
assert
isinstance
(
var
,
framework
.
Variable
)
if
var
.
stop_gradient
:
block_no_grad_set
.
add
(
var
.
name
)
block_no_grad_set
.
add
(
_append_grad_suffix_
(
var
.
name
)
)
no_grad_set
[
block
.
idx
]
=
block_no_grad_set
grad_info_map
=
dict
()
root_block
=
loss
.
block
.
program
.
block
(
0
)
pdb
.
set_trace
()
backward_impl
(
loss
,
root_block
,
root_block
,
no_grad_set
,
grad_info_map
)
pdb
.
set_trace
()
_backward_impl_
(
loss
,
root_block
,
root_block
,
no_grad_set
,
grad_info_map
)
if
parameter_list
is
not
None
:
parameters
=
parameter_list
else
:
...
...
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