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53 Open 22 Closed
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Issues list

Additional requirements for running the notebool
#91 opened Jan 28, 2024 by EladCoding
LatencyTable Target Hardware Error
#89 opened Dec 5, 2023 by hasanberatsoke-cy
Resnet50 Access Denied
#88 opened Nov 29, 2023 by hasanberatsoke-cy
How do i specialize OFA for cifar10
#85 opened Nov 10, 2023 by amitpant7
[Easy fix] OFA Tutorial On colab
#81 opened May 30, 2023 by IHIaadj
imagenet_1k.zip
#80 opened Apr 21, 2023 by atdovas
1
Missing dependency numpy
#78 opened Apr 13, 2023 by radomirbosak
About the pre-trained hypernetwork used for the results in Table 1, is it ofa_mbv3_d234_e346_k357_w1.0 or ofa_mbv3_d234_e346_k357_w1.2？
#76 opened Feb 2, 2023 by yuny220
Each network in the child pool has the same architecture？
#75 opened Feb 1, 2023 by Ansor-ZJJ
Using Once-for-all for a custom CNN
#72 opened Sep 5, 2022 by just-an-intern
1
expand_ratio BUG？
#71 opened Jun 19, 2022 by zhanglei1172
KeyError: <InterpolationMode.BILINEAR: 'bilinear'>
#70 opened May 17, 2022 by talenz
4
How to cal calculate the mobile_trim.yaml?
#69 opened Apr 15, 2022 by TomHsu-MIddle
All memory on one card
#68 opened Jan 18, 2022 by Hukongtao
How to train my own acc predictor and efficiency predictor
#67 opened Jan 4, 2022 by Xingxu1996
2
ImportError: cannot import name 'MyRandomResizedCrop'
#66 opened Dec 18, 2021 by dongzhang2021
1
KeyError from MBv3LatencyTable in EvolutionFinder
#65 opened Dec 17, 2021 by akvallapuram
cannot run colab example code
#61 opened Sep 15, 2021 by mistake0316
4
Which evolution algorithm do you use?
#59 opened Aug 12, 2021 by ifed-ucsd
NoneType error when run torch.jit.script()
#58 opened Aug 8, 2021 by YuantianGao
1
What should I do after train_ofa_net
#57 opened Jul 20, 2021 by detectRecog
5
what does MACs mean?
#56 opened Jul 8, 2021 by Edwardmark
1
How many subnets does knowledge distillation optimize?
#54 opened May 14, 2021 by swapnilsayansaha
3
Some doubts about the predictior
#53 opened May 12, 2021 by qiuqi1207
2
Use for our Custom Dataset
#52 opened Apr 28, 2021 by Darshcg
2
ProTip! Follow long discussions with comments:>50.