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add support for CPU and MPS #188

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add support for CPU and MPS #188

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Commits on Sep 4, 2024

  1. add support for CPU and MPS 

    do not use distributed when not available, instead use CPU or MPS.

This entails a few changes:

--device is now a valid flag to the library since `ilab` can pass CPU, MPS, or default to cuda
when using CPU or MPS, do not initialize DS, instead put the model on the device and initialize `Adafactor` optimizer which is more efficient and than Adam based one
inside of `train` add logic for handling if torch.cuda.is_available and torch.distributed.is_initialized() we dont use distributed torch on consumer systems
the train loop needs some custom step and loss logic for a LlamaForCausalLM model, add that in
when using CPU or MPS we are always world_size == 1 and local_rank == 0

Signed-off-by: Charlie Doern <[email protected]>
    @cdoern
    cdoern committed Sep 4, 2024
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