Add Pytorch Tensor Parallel support for Mistral
Author: VladOS95-cyber
Pull request: yes
Labels: name: Tensor Parallel

# What does this PR do?

This PR uses the torch.distributed.tensor.parallel subpackage to implement Tensor Parallel for Mistral.

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Comments:
cc @arthurzucker since I think he was handling the tensor parallelism issue - let me know if I should have pinged someone else instead!

@VladOS95-cyber @ArthurZucker Hi guys, I had a small doubt. Why aren't the changes in the query_states, key_states and value_states applied to other attention classes (like `MistralFlashAttention2`, `MistralSdpaAttention`) as well?

> @VladOS95-cyber @ArthurZucker Hi guys, I had a small doubt. Why aren't the changes in the query_states, key_states and value_states applied to other attention classes (like `MistralFlashAttention2`, `MistralSdpaAttention`) as well?

Hey @DebarshiChanda! Thanks for noticed that, i think you are right and we should apply the same infer logic for other attention classes. I am going to fix it in another PR https://github.com/huggingface/transformers/pull/35007