mmaction
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Training with a single GPU
Heads up that validate doesn't do anything in train_recognizer.py
if it's not distributed training. The keyword arg isn't used in the function and trying to use it in the config will fail because there aren't enough data loaders.
Actually, this is really a problem with workflow
. When it is has more than one array item like in https://github.com/open-mmlab/mmaction/blob/master/configs/TSN/tsn_kinetics400_2d_rgb_r50_seg3_f1s1.py#L110, it fails because we aren't building the dataloaders for the later ones.
I see that there is a commented out one below that with just one dataloader (for 'train'). Is this meant to be the approach?