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体验新版 GitCode,发现更多精彩内容 >>
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提交
a9f7cd34
编写于
1月 07, 2018
作者:
Y
Yang yaming
提交者:
GitHub
1月 07, 2018
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差异文件
Merge pull request #7278 from pkuyym/fix-7216
Bug fix when inserting fill_zeros_like_op.
上级
691b5cac
05c08214
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
5 addition
and
5 deletion
+5
-5
python/paddle/v2/fluid/backward.py
python/paddle/v2/fluid/backward.py
+5
-5
未找到文件。
python/paddle/v2/fluid/backward.py
浏览文件 @
a9f7cd34
...
@@ -7,7 +7,7 @@ __all__ = ['append_backward']
...
@@ -7,7 +7,7 @@ __all__ = ['append_backward']
def
_rename_arg_
(
op_descs
,
old_name
,
new_name
,
begin_idx
=
None
,
end_idx
=
None
):
def
_rename_arg_
(
op_descs
,
old_name
,
new_name
,
begin_idx
=
None
,
end_idx
=
None
):
"""
"""
Traverse all ops in op_descs[begin_idx : end_idx],
Traverse all ops in op_descs[begin_idx : end_idx],
if any op has inputs/outputs named "old_name", rename it as 'new_name'
if any op has inputs/outputs named "old_name", rename it as 'new_name'
"""
"""
if
begin_idx
is
None
:
if
begin_idx
is
None
:
...
@@ -162,7 +162,7 @@ def _remove_no_grad_branch_(op_descs, no_grad_set):
...
@@ -162,7 +162,7 @@ def _remove_no_grad_branch_(op_descs, no_grad_set):
if
core
.
grad_var_suffix
()
in
arg
and
arg
in
no_grad_set
:
if
core
.
grad_var_suffix
()
in
arg
and
arg
in
no_grad_set
:
to_insert
.
append
((
_create_op_desc_
(
"fill_zeros_like"
,
{
to_insert
.
append
((
_create_op_desc_
(
"fill_zeros_like"
,
{
"X"
:
[
_strip_grad_suffix_
(
arg
)]
"X"
:
[
_strip_grad_suffix_
(
arg
)]
},
{
"
Y
"
:
[
arg
]},
{}),
idx
))
},
{
"
Out
"
:
[
arg
]},
{}),
idx
))
map
(
lambda
p
:
op_descs
.
insert
(
p
[
1
],
p
[
0
]),
reversed
(
to_insert
))
map
(
lambda
p
:
op_descs
.
insert
(
p
[
1
],
p
[
0
]),
reversed
(
to_insert
))
...
@@ -182,7 +182,7 @@ def _append_backward_ops_(target,
...
@@ -182,7 +182,7 @@ def _append_backward_ops_(target,
target(Variable): the target variable of forward pass
target(Variable): the target variable of forward pass
block(Block): the block where forward ops are
block(Block): the block where forward ops are
target_block(Block): the block which is going to hold new generated grad ops
target_block(Block): the block which is going to hold new generated grad ops
no_grad_dict(dict):
no_grad_dict(dict):
key(int) block index
key(int) block index
val(set) a set of varibale names. These varibales have no gradient
val(set) a set of varibale names. These varibales have no gradient
grad_to_var(dict)(output argument):
grad_to_var(dict)(output argument):
...
@@ -276,8 +276,8 @@ def append_backward(loss, parameter_list=None, no_grad_set=None):
...
@@ -276,8 +276,8 @@ def append_backward(loss, parameter_list=None, no_grad_set=None):
loss(Variable): The variable generated by cost function.
loss(Variable): The variable generated by cost function.
parameter_list(list): Parameters that need to be updated by optimizer.
parameter_list(list): Parameters that need to be updated by optimizer.
If None, it means all parameters need to be updated.
If None, it means all parameters need to be updated.
no_grad_set(set): Variables that have no gradients in Block 0.
no_grad_set(set): Variables that have no gradients in Block 0.
If None, the set will be generated inside the function and
If None, the set will be generated inside the function and
contains all variables with `step_gradient=True` from all blocks.
contains all variables with `step_gradient=True` from all blocks.
Return:
Return:
...
...
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