Inconsistent documentation?
The documentation at [https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/parallelisms.html] states that

`NeMo Megatron supports 4 types of parallelisms (can be mixed together arbitraritly)`

The documentation at [https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/megatron.html#model-parallelism] states that

`Currently, NeMo only supports tensor model parallelism.`

This seems inconsistent. What kind of parallelisms are supported for training and eval? Thanks!