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de972c50
编写于
8月 15, 2021
作者:
H
HydrogenSulfate
提交者:
chajchaj
8月 27, 2021
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差异文件
Update loss.py
上级
c61027e8
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
25 addition
and
22 deletion
+25
-22
python/paddle/nn/functional/loss.py
python/paddle/nn/functional/loss.py
+25
-22
未找到文件。
python/paddle/nn/functional/loss.py
浏览文件 @
de972c50
...
@@ -1650,6 +1650,24 @@ def cross_entropy(input,
...
@@ -1650,6 +1650,24 @@ def cross_entropy(input,
if
input_dims
-
1
==
label_dims
:
if
input_dims
-
1
==
label_dims
:
label
=
paddle
.
unsqueeze
(
label
,
axis
=
axis
)
label
=
paddle
.
unsqueeze
(
label
,
axis
=
axis
)
if
in_dygraph_mode
():
if
in_dygraph_mode
():
if
soft_label
==
False
:
valid_label
=
paddle
.
where
(
label
==
ignore_index
,
paddle
.
zeros_like
(
label
),
label
)
if
len
(
paddle
.
nonzero
(
valid_label
<
0
))
>
0
:
invalid_label
=
paddle
.
gather_nd
(
valid_label
,
paddle
.
nonzero
(
valid_label
<
0
))
raise
ValueError
(
"Target({}) is out of class_dimension's lower bound({})"
.
format
(
invalid_label
[
0
],
0
))
if
len
(
paddle
.
nonzero
(
valid_label
>=
input
.
shape
[
-
1
]))
>
0
:
invalid_label
=
paddle
.
gather_nd
(
valid_label
,
paddle
.
nonzero
(
valid_label
>=
input
.
shape
[
-
1
]))
raise
ValueError
(
"Target({}) is out of class_dimension's upper bound({})"
.
format
(
invalid_label
[
0
],
input
.
shape
[
-
1
]
-
1
))
_
,
out
=
_C_ops
.
softmax_with_cross_entropy
(
_
,
out
=
_C_ops
.
softmax_with_cross_entropy
(
input
,
label
,
'soft_label'
,
soft_label
,
'ignore_index'
,
input
,
label
,
'soft_label'
,
soft_label
,
'ignore_index'
,
ignore_index
,
'numeric_stable_mode'
,
True
,
'axis'
,
axis
,
ignore_index
,
'numeric_stable_mode'
,
True
,
'axis'
,
axis
,
...
@@ -1681,27 +1699,6 @@ def cross_entropy(input,
...
@@ -1681,27 +1699,6 @@ def cross_entropy(input,
weight's class_dimension({})
\
weight's class_dimension({})
\
when weight is provided"
when weight is provided"
.
format
(
input
.
shape
[
-
1
],
weight
.
shape
[
-
1
]))
.
format
(
input
.
shape
[
-
1
],
weight
.
shape
[
-
1
]))
valid_label
=
paddle
.
where
(
label
==
ignore_index
,
paddle
.
to_tensor
(
0
,
dtype
=
label
.
dtype
),
label
)
if
(
len
(
paddle
.
nonzero
(
valid_label
<
0
))
>
0
)
or
(
len
(
paddle
.
nonzero
(
valid_label
>=
input
.
shape
[
-
1
]))
>
0
):
invalid_label
=
paddle
.
gather_nd
(
input
,
paddle
.
nonzero
(
valid_label
<
0
))
if
invalid_label
.
numel
()
>
0
:
raise
ValueError
(
"Target({}) is out of class_dimension's lower bound({})"
.
format
(
invalid_label
[
0
],
0
))
invalid_label
=
paddle
.
gather_nd
(
input
,
paddle
.
nonzero
(
valid_label
>=
input
.
shape
[
-
1
]))
if
invalid_label
.
numel
()
>
0
:
raise
ValueError
(
"Target({}) is out of class_dimension's upper bound({})"
.
format
(
invalid_label
[
0
],
input
.
shape
[
-
1
]))
ignore_weight_mask
=
paddle
.
cast
((
label
!=
ignore_index
),
ignore_weight_mask
=
paddle
.
cast
((
label
!=
ignore_index
),
out
.
dtype
)
out
.
dtype
)
...
@@ -1709,7 +1706,7 @@ def cross_entropy(input,
...
@@ -1709,7 +1706,7 @@ def cross_entropy(input,
-
1
]
==
1
:
-
1
]
==
1
:
ignore_weight_mask
.
squeeze_
(
-
1
)
ignore_weight_mask
.
squeeze_
(
-
1
)
weight_gather
=
_C_ops
.
gather_nd
(
weight_gather
=
_C_ops
.
gather_nd
(
weight
,
valid_label
)
# ignore的位置暂时用label0的权重代替
weight
,
valid_label
)
weight_gather
=
_C_ops
.
elementwise_mul
(
weight_gather
,
weight_gather
=
_C_ops
.
elementwise_mul
(
weight_gather
,
ignore_weight_mask
)
ignore_weight_mask
)
input_shape
=
list
(
label
.
shape
)
input_shape
=
list
(
label
.
shape
)
...
@@ -1804,6 +1801,12 @@ def cross_entropy(input,
...
@@ -1804,6 +1801,12 @@ def cross_entropy(input,
weight_gather_reshape
=
reshape
(
weight_gather
,
shape
=
out_shape
)
weight_gather_reshape
=
reshape
(
weight_gather
,
shape
=
out_shape
)
out
=
paddle
.
cast
(
out
,
weight_gather_reshape
.
dtype
)
out
=
paddle
.
cast
(
out
,
weight_gather_reshape
.
dtype
)
else
:
else
:
if
input
.
shape
[
-
1
]
!=
weight
.
shape
[
-
1
]:
raise
ValueError
(
"input's class_dimension({}) must equal to "
\
"weight's class_dimension({}) "
\
"when weight is provided"
.
format
(
input
.
shape
[
-
1
],
weight
.
shape
[
-
1
]))
weight_gather
=
paddle
.
gather_nd
(
weight_gather
=
paddle
.
gather_nd
(
weight
,
label
)
#trans weight from class to sample, shape:N
weight
,
label
)
#trans weight from class to sample, shape:N
input_shape
=
list
(
label
.
shape
)
input_shape
=
list
(
label
.
shape
)
...
...
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