forked from open-mmlab/mmrazor
-
Notifications
You must be signed in to change notification settings - Fork 0
/
metafile.yml
60 lines (60 loc) · 2.75 KB
/
metafile.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Collections:
- Name: AutoSlim
Metadata:
Training Data:
- ImageNet-1k
Paper:
URL: https://arxiv.org/abs/1903.11728
Title: AutoSlim:Towards One-Shot Architecture Search for Channel Numbers
README: configs/nas/spos/README.md
Code:
URL: https://github.com/open-mmlab/mmrazor/blob/v0.1.0/mmrazor/models/algorithms/autoslim.py
Version: v0.1.0
Converted From:
Code: https://github.com/JiahuiYu/slimmable_networks
Models:
- Name: autoslim_mbv2_subnet_8xb256_in1k
In Collection: AutoSlim
Metadata:
Flops(G): 0.53
Params(M): 6.5
Supernet: MobileNet v2(x1.5)
Channel: https://download.openmmlab.com/mmrazor/v0.1/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k/autoslim_mbv2_subnet_8xb256_in1k_flops-0.53M_acc-74.23_20211222-e5208bbd_channel_cfg.yaml
Results:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 74.23
Top 5 Accuracy: 91.74
Config: configs/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k.py
Weights: https://download.openmmlab.com/mmrazor/v0.1/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k/autoslim_mbv2_subnet_8xb256_in1k_flops-0.53M_acc-74.23_20211222-e5208bbd.pth
- Name: autoslim_mbv2_subnet_8xb256_in1k
In Collection: AutoSlim
Metadata:
Flops(G): 0.32
Params(M): 5.77
Supernet: MobileNet v2(x1.5)
Channel: https://download.openmmlab.com/mmrazor/v0.1/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k/autoslim_mbv2_subnet_8xb256_in1k_flops-0.32M_acc-72.73_20211222-b5b0b33c_channel_cfg.yaml
Results:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 72.73
Top 5 Accuracy: 90.83
Config: configs/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k.py
Weights: https://download.openmmlab.com/mmrazor/v0.1/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k/autoslim_mbv2_subnet_8xb256_in1k_flops-0.32M_acc-72.73_20211222-b5b0b33c.pth
- Name: autoslim_mbv2_subnet_8xb256_in1k
In Collection: AutoSlim
Metadata:
Flops(G): 0.22
Params(M): 4.13
Supernet: MobileNet v2(x1.5)
Channel: https://download.openmmlab.com/mmrazor/v0.1/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k/autoslim_mbv2_subnet_8xb256_in1k_flops-0.22M_acc-71.39_20211222-43117c7b_channel_cfg.yaml.?
Results:
- Task: Image Classification
Dataset: ImageNet-1k
Metrics:
Top 1 Accuracy: 74.23
Top 5 Accuracy: 91.74
Config: configs/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k.py
Weights: https://download.openmmlab.com/mmrazor/v0.1/pruning/autoslim/autoslim_mbv2_subnet_8xb256_in1k/autoslim_mbv2_subnet_8xb256_in1k_flops-0.22M_acc-71.39_20211222-43117c7b.pth