And maybe something with Tensorboard defaults to lower storage footprint from that too? Right now, training TAN in the example cifar script, get: ``` 170M ./plots 1.5M ./checkpoints 170M ./logs 341M . ```
And maybe something with Tensorboard defaults to lower storage footprint from that too? Right now, training TAN in the example cifar script, get: