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Efficient Learning of Augmentation Policy Schedules

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- I see you have clearly stated that pba has been tested with tensorflow 1.10.0 and 1.11.0 and so is the case with ray which has been tested with 0.7.0...

Hi PBA Team, Spotted this warning in my IDE when looking through your code: https://github.com/arcelien/pba/blob/a9cc308d936dee488aab7e3582ab7a47167b587a/pba/augmentation_transforms.py#L224 > `getargspec()` has been deprecated since Python 3.0 in favour of `getfullargspec()` It may be...

I have 4 GPUs, when I run train.py with --num_samples 1 --gpu 4,there is only one GPU has utilization. Is it because the model does not support multiple GPUs? But...

Hi, thanks for providing the nice code. I've tried to reproduce the results in table3 with "bash scripts/table_3_rcifar10.sh wrn_28_10". The highest test acc is 87.42% among twice trial, which is...

hello everyone, can you show me any guide to run augmentation on my own dataset.

Does this code work on multi-gpu?

Hi, As I know, in python 3.5.X or python 2.X , 'dict' structure has random keys order. For example, If I do this a = {'one' : 1, 'two' :...

@arcelien I came across an issue when extending PBA to my own network structure. **The error is like this: ERROR worker.py:1612 -- Possible unhandled error from worker: ray_RayModel:restore_from_object() (pid=49849, host=XXX)...

Is there anyway to pause/resume the pba search? I know that the checkpoints are saved, but how could we resume by command line, for cases when the search is for...

Hi everyone, did you tried PBA on a dataset with bounding boxes? If not what part of the code should I change to work with this type of data?