GitLab

- Split a model's computation into multiple virtual stages as needed,
and schedule communication correctly between these virtual stages
- Move schedule code into `schedules.py` and communication code into
`p2p_communication.py`
- Use hyphens instead of spaces in all time logging for consistency
- Factor out code in megatron/training.py into helper functions
- Refactor evaluate() function: make it use forward_backward_schedule
functions

Move rearranging query_key_value and key_value values in old checkpoints to when the checkpoint is loaded instead of runtime..

Add the option for fp32 residual connection (fp32 residual connection machinery still needs to be added)

Small bugfix in bert_model.py: make sure word_embeddings is initialized before instantiating lm_head

Refactor code according to Jared's comments: move pipelining and non-pipelining training loops into separate methods

Also, use mpu.get_*_model_parallel_size() instead of args.*_model_parallel_size