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体验新版 GitCode,发现更多精彩内容 >>
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ef103a59
编写于
8月 02, 2021
作者:
F
fengshuai03
浏览文件
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change dynameic shape
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tools/infer/utility.py
tools/infer/utility.py
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tools/infer/utility.py
浏览文件 @
ef103a59
...
...
@@ -168,45 +168,45 @@ def create_predictor(args, mode, logger):
if
mode
==
"det"
:
min_input_shape
=
{
"x"
:
[
1
,
3
,
50
,
50
],
"conv2d_92.tmp_0"
:
[
1
,
96
,
20
,
20
],
"conv2d_91.tmp_0"
:
[
1
,
96
,
10
,
10
],
"conv2d_92.tmp_0"
:
[
1
,
120
,
20
,
20
],
"conv2d_91.tmp_0"
:
[
1
,
24
,
10
,
10
],
"conv2d_59.tmp_0"
:
[
1
,
96
,
20
,
20
],
"nearest_interp_v2_1.tmp_0"
:
[
1
,
9
6
,
10
,
10
],
"nearest_interp_v2_2.tmp_0"
:
[
1
,
9
6
,
20
,
20
],
"conv2d_124.tmp_0"
:
[
1
,
9
6
,
20
,
20
],
"nearest_interp_v2_3.tmp_0"
:
[
1
,
2
4
,
20
,
20
],
"nearest_interp_v2_4.tmp_0"
:
[
1
,
2
4
,
20
,
20
],
"nearest_interp_v2_5.tmp_0"
:
[
1
,
2
4
,
20
,
20
],
"nearest_interp_v2_1.tmp_0"
:
[
1
,
25
6
,
10
,
10
],
"nearest_interp_v2_2.tmp_0"
:
[
1
,
25
6
,
20
,
20
],
"conv2d_124.tmp_0"
:
[
1
,
25
6
,
20
,
20
],
"nearest_interp_v2_3.tmp_0"
:
[
1
,
6
4
,
20
,
20
],
"nearest_interp_v2_4.tmp_0"
:
[
1
,
6
4
,
20
,
20
],
"nearest_interp_v2_5.tmp_0"
:
[
1
,
6
4
,
20
,
20
],
"elementwise_add_7"
:
[
1
,
56
,
2
,
2
],
"nearest_interp_v2_0.tmp_0"
:
[
1
,
9
6
,
2
,
2
]
"nearest_interp_v2_0.tmp_0"
:
[
1
,
25
6
,
2
,
2
]
}
max_input_shape
=
{
"x"
:
[
1
,
3
,
2000
,
2000
],
"conv2d_92.tmp_0"
:
[
1
,
96
,
400
,
400
],
"conv2d_91.tmp_0"
:
[
1
,
96
,
200
,
200
],
"conv2d_92.tmp_0"
:
[
1
,
120
,
400
,
400
],
"conv2d_91.tmp_0"
:
[
1
,
24
,
200
,
200
],
"conv2d_59.tmp_0"
:
[
1
,
96
,
400
,
400
],
"nearest_interp_v2_1.tmp_0"
:
[
1
,
9
6
,
200
,
200
],
"nearest_interp_v2_1.tmp_0"
:
[
1
,
25
6
,
200
,
200
],
"conv2d_124.tmp_0"
:
[
1
,
256
,
400
,
400
],
"nearest_interp_v2_2.tmp_0"
:
[
1
,
9
6
,
400
,
400
],
"nearest_interp_v2_3.tmp_0"
:
[
1
,
2
4
,
400
,
400
],
"nearest_interp_v2_4.tmp_0"
:
[
1
,
2
4
,
400
,
400
],
"nearest_interp_v2_5.tmp_0"
:
[
1
,
2
4
,
400
,
400
],
"nearest_interp_v2_2.tmp_0"
:
[
1
,
25
6
,
400
,
400
],
"nearest_interp_v2_3.tmp_0"
:
[
1
,
6
4
,
400
,
400
],
"nearest_interp_v2_4.tmp_0"
:
[
1
,
6
4
,
400
,
400
],
"nearest_interp_v2_5.tmp_0"
:
[
1
,
6
4
,
400
,
400
],
"elementwise_add_7"
:
[
1
,
56
,
400
,
400
],
"nearest_interp_v2_0.tmp_0"
:
[
1
,
9
6
,
400
,
400
]
"nearest_interp_v2_0.tmp_0"
:
[
1
,
25
6
,
400
,
400
]
}
opt_input_shape
=
{
"x"
:
[
1
,
3
,
640
,
640
],
"conv2d_92.tmp_0"
:
[
1
,
96
,
160
,
160
],
"conv2d_91.tmp_0"
:
[
1
,
96
,
80
,
80
],
"conv2d_92.tmp_0"
:
[
1
,
120
,
160
,
160
],
"conv2d_91.tmp_0"
:
[
1
,
24
,
80
,
80
],
"conv2d_59.tmp_0"
:
[
1
,
96
,
160
,
160
],
"nearest_interp_v2_1.tmp_0"
:
[
1
,
9
6
,
80
,
80
],
"nearest_interp_v2_2.tmp_0"
:
[
1
,
9
6
,
160
,
160
],
"nearest_interp_v2_1.tmp_0"
:
[
1
,
25
6
,
80
,
80
],
"nearest_interp_v2_2.tmp_0"
:
[
1
,
25
6
,
160
,
160
],
"conv2d_124.tmp_0"
:
[
1
,
256
,
160
,
160
],
"nearest_interp_v2_3.tmp_0"
:
[
1
,
2
4
,
160
,
160
],
"nearest_interp_v2_4.tmp_0"
:
[
1
,
2
4
,
160
,
160
],
"nearest_interp_v2_5.tmp_0"
:
[
1
,
2
4
,
160
,
160
],
"nearest_interp_v2_3.tmp_0"
:
[
1
,
6
4
,
160
,
160
],
"nearest_interp_v2_4.tmp_0"
:
[
1
,
6
4
,
160
,
160
],
"nearest_interp_v2_5.tmp_0"
:
[
1
,
6
4
,
160
,
160
],
"elementwise_add_7"
:
[
1
,
56
,
40
,
40
],
"nearest_interp_v2_0.tmp_0"
:
[
1
,
9
6
,
40
,
40
]
"nearest_interp_v2_0.tmp_0"
:
[
1
,
25
6
,
40
,
40
]
}
elif
mode
==
"rec"
:
min_input_shape
=
{
"x"
:
[
args
.
rec_batch_num
,
3
,
32
,
10
]}
...
...
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