fast-autoaugment-efficientnet-pytorch

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HI,Thanks a lot for your code.And i met this error as the titile shown(AttributeError: 'Args' object has no attribute 'use_seblock') when i trained the network. [+] Create network Traceback (most...

jeffreygaoo

Hi. Thank you for the code. I couldn't find any mentions about the license used for this repository, could you please clarify it?

creafz

Hi, now I can run your code,thank your for your work, but I want to search on my own dataset, in your utils.py, there is no other dataset to choose,...

endy-see

resnet34 results can be shown: python train.py --seed=24 --scale=5 --optimizer=sgd --fast_auto_augment=True ......... [+] Training step: 62000/64000 Training epoch: 0/351 Elapsed time: 318.71min Learning rate: 0.0011729701340847298 Acc@1 : 88.281% Acc@5 :...

gogo03

visualization of found policy

1

Excuse me, could you tell me how do you visualize the found policy? Because there are many sub-policy, which consists of two op, and each op has its prob and...

zhifanwu

Number of transformation in subpolicy

3

Thanks for your work on pytorch. In the searching space, you find two of extra [transformations](https://github.com/JunYeopLee/fast-autoaugment-efficientnet-pytorch/blob/master/fast_auto_augment.py#L17) [here](https://github.com/JunYeopLee/fast-autoaugment-efficientnet-pytorch/blob/master/fast_auto_augment.py#L136). Why two? It's better to find the combination of arbitrary transformations, isn't it?...

kakusikun

Warning semaphore_tracker: There appear to be 1 leaked semaphores to clean up at shutdown

1

Hello，I run `python train.py --seed=24 --scale=3 --optimizer=sgd --fast_auto_augment=True `. A warning is reported as follow: `/disk1/jinlin2/anaconda3/envs/fast-auto-aug/lib/python3.7/multiprocessing/semaphore_tracker.py:144: UserWarning: semaphore_tracker: There appear to be 1 leaked semaphores to clean up at shutdown...

yichuan9527