Dev by gu #32
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Dev by gu #32
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2 lines in metrics.py
… weight_path I know it implies that weights can only be put in root path but I DONT CARE
… batch computation requirement
Add a `ignore_label` argument to MultiClassSampler. Now the sampler randomly sample from non-ignored area. Modify the CS dataset file, first points now use the random sampled ones.
Now the number of iter in training can be modified through running args.
Add collate_fn, make a dict in trainer itself
first_return_points='init' instead of True
ignore data folder, maybe should commit before I really mv the folder
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