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FL1623863129
YOLOX
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e685457f
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体验新版 GitCode,发现更多精彩内容 >>
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e685457f
编写于
3月 21, 2022
作者:
F
Feng Wang
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电子邮件补丁
差异文件
fix(model): compatible meshgrid and CUDA OOM error
上级
d18f5e82
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
25 addition
and
5 deletion
+25
-5
hubconf.py
hubconf.py
+1
-1
yolox/models/yolo_head.py
yolox/models/yolo_head.py
+8
-4
yolox/utils/__init__.py
yolox/utils/__init__.py
+1
-0
yolox/utils/compat.py
yolox/utils/compat.py
+15
-0
未找到文件。
hubconf.py
浏览文件 @
e685457f
...
...
@@ -8,7 +8,7 @@ Usage example:
"""
dependencies
=
[
"torch"
]
from
yolox.models
import
(
# noqa: F401, E402
from
yolox.models
import
(
#
isort:skip #
noqa: F401, E402
yolox_tiny
,
yolox_nano
,
yolox_s
,
...
...
yolox/models/yolo_head.py
浏览文件 @
e685457f
...
...
@@ -9,7 +9,7 @@ import torch
import
torch.nn
as
nn
import
torch.nn.functional
as
F
from
yolox.utils
import
bboxes_iou
from
yolox.utils
import
bboxes_iou
,
meshgrid
from
.losses
import
IOUloss
from
.network_blocks
import
BaseConv
,
DWConv
...
...
@@ -220,7 +220,7 @@ class YOLOXHead(nn.Module):
n_ch
=
5
+
self
.
num_classes
hsize
,
wsize
=
output
.
shape
[
-
2
:]
if
grid
.
shape
[
2
:
4
]
!=
output
.
shape
[
2
:
4
]:
yv
,
xv
=
torch
.
meshgrid
([
torch
.
arange
(
hsize
),
torch
.
arange
(
wsize
)],
indexing
=
"ij"
)
yv
,
xv
=
meshgrid
([
torch
.
arange
(
hsize
),
torch
.
arange
(
wsize
)]
)
grid
=
torch
.
stack
((
xv
,
yv
),
2
).
view
(
1
,
1
,
hsize
,
wsize
,
2
).
type
(
dtype
)
self
.
grids
[
k
]
=
grid
...
...
@@ -237,7 +237,7 @@ class YOLOXHead(nn.Module):
grids
=
[]
strides
=
[]
for
(
hsize
,
wsize
),
stride
in
zip
(
self
.
hw
,
self
.
strides
):
yv
,
xv
=
torch
.
meshgrid
([
torch
.
arange
(
hsize
),
torch
.
arange
(
wsize
)],
indexing
=
"ij"
)
yv
,
xv
=
meshgrid
([
torch
.
arange
(
hsize
),
torch
.
arange
(
wsize
)]
)
grid
=
torch
.
stack
((
xv
,
yv
),
2
).
view
(
1
,
-
1
,
2
)
grids
.
append
(
grid
)
shape
=
grid
.
shape
[:
2
]
...
...
@@ -321,7 +321,11 @@ class YOLOXHead(nn.Module):
labels
,
imgs
,
)
except
RuntimeError
:
except
RuntimeError
as
e
:
# TODO: the string might change, consider a better way
if
"CUDA out of memory. "
not
in
str
(
e
):
raise
# RuntimeError might not caused by CUDA OOM
logger
.
error
(
"OOM RuntimeError is raised due to the huge memory cost during label assignment.
\
CPU mode is applied in this batch. If you want to avoid this issue,
\
...
...
yolox/utils/__init__.py
浏览文件 @
e685457f
...
...
@@ -5,6 +5,7 @@
from
.allreduce_norm
import
*
from
.boxes
import
*
from
.checkpoint
import
load_ckpt
,
save_checkpoint
from
.compat
import
meshgrid
from
.demo_utils
import
*
from
.dist
import
*
from
.ema
import
*
...
...
yolox/utils/compat.py
0 → 100644
浏览文件 @
e685457f
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
import
torch
_TORCH_VER
=
[
int
(
x
)
for
x
in
torch
.
__version__
.
split
(
"."
)[:
2
]]
__all__
=
[
"meshgrid"
]
def
meshgrid
(
*
tensors
):
if
_TORCH_VER
>=
[
1
,
10
]:
return
torch
.
meshgrid
(
*
tensors
,
indexing
=
"ij"
)
else
:
return
torch
.
meshgrid
(
*
tensors
)
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