v0.6.1

• rtg.fork accepts multiple to_dir; thus supports cloning multiple times at once
• Bug fix: early stopping on distributed parallel training
• rtg.tool.augment to support data augmentations
• Add attention visualization in rtg.serve; powered by plotly
• rtg.pipeline and rtg.fork: uses relative symlinks instead of absolute paths
• rtg.decode shows decoding speed (segs, src_toks, hyp_toks)
• batch_size is auto adjusted based on number of workers and gradient_accum (huh! finally)
• batch_size normalizer in distributed training setting (fix! faster convergence now)
• support for byte encoding added