GitLab

* add RoPe

* don't include padding in rope

* possibly use cross-attn for prompt

* fix rope

* fix cross-attn

* fix self-attn

* fix dummy model

* clean-up rope

* first gqa implementation

* fix wer eval

* feat: add flash attention and spda

* chore: add README for flash attention

* chore: add benchmark script

* chore: add benchmark attention approach

* multi node and fix wer and fix compile

* Update modeling_parler_tts.py

* fix FA2, SDPA and add cross-attn MHA and attention type forcing

* better cross_attention key values number of heads default + add training arguments for attn implementation

* fix audio padding when torch compile or pad_to_max_length=True

* correct multi node

* make rope faster

* fix encoder sdpa

* fix training with cross attention + with FAZ

* use fp32 as default model dtype + fix generation when using FA2 with autocast

* remove redundant passes in generate + clean and fix attentions

* fix edge case in WER evaluation when longform generation

* better multi-node mapping and saving / add eval dataloader num workers

* remove old benchmarks

* faster audio encoding + checkpointing + fix generation step

* better eval + add right padding + fix eval loss compute

* correct README

* correct config docstrings

* remove comment

* make style

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Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: sang-nguyen-ts <sang.nguyen@trustingsocial.com>
Co-authored-by: yoach@huggingface.co <Yoach Lacombe>

[eval] fix trigger for english normaliser 

Fix WER transcription

Fix naming and add min new tokens

[Training] Small nits

[training] compute normalised wer

[fix] Add fixed sampling rate to feature extractor

Pr/wauplin/18

add mps and xpu to examples

Simple re-organization of training script

[generation] use private greedy/sampling methods

Add colab link for fine-tuning