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Developer Documents for mcore RETRO (#9026)
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* update branch

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* Add dist ckpt support for regular optimizers (#7749)

* Add dist ckpt support for regular optimizers

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* [tutorial] fixed missing RIR scripts file. (#8257)

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* Pin lhotse=1.19.2 in r1.23.0 (#8303)

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* Cache Aware Streaming tutorial notebook (#8296)

* add notebook

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* rename old notebook to Buffered_Streaming

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* call setup_streaming_params in set_default_att_context_size method

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* update links in docs

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* update links to tutorials in docs

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* remove hard-coding

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* rename var

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* fix path location and branch (#8304)

* fix path location and branch

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* change to a floating point number

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* add deallocate pipeline output optimization

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* Fix memory leak caused by context parallelism hanging references by omegaconf (#8299)

* save cp_size to self

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* use parallel_state instead of self

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* remove assertion (#8302)

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* Update PEFT Doc (#8262)

* update peft doc

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* remove old prompt learning doc and notebook

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* fix table

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* fix table

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* fix table

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* Merge branch 'r1.23.0' into chcui/update_peft_doc

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* revert accidental changes

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* revert accidental changes

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* Attention encoder-decoder models for multiple speech-to-text tasks  (#8242) (#8324)

* Rebasing canary changes at current main

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* Move the changes from asr transformer to nlp transformer as originally intended

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* update eval to strip spaces before punctuations

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* update pc strip

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* [canary] Refactor: `PromptedAudioToTextLhotseDataset` and `EncDecMultiTaskModel` (#8247)

* Create a separate CanaryDataset and use it inside `transformer_bpe_models.py`. Ditches `token_sequence_format`.

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* [canary] Refactor: move changes in transformer_bpe_models.py to Canar… (#8252)

* [canary] Refactor: move changes in transformer_bpe_models.py to CanaryModel

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* Rename `CanaryModel` to `EncDecMultiTaskModel` and remove inheritance from `EncDecTransfModelBPE`; add a separate config for this model

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* Rename `CanaryDataset` to `PromptedAudioToTextLhotseDataset`; add `prompt_format_fn` argument; clean-up the `_canary_prompt_format` function a bit

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* Move tokenization into `prompt_format_fn`, fix usage, add docs

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* Backward-compatible utterance validation

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* Improve type annotations

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* config and prompt_fn registration changes from review

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* fix transcribe config

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* Refactor Canary to follow schema of remaining ASR models (#8260)

* Initial draft of multi task beam decoding strategy

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* Stabilize inference

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* Cleanup

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* Cleanup

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* remove asr transformer dependency on nlp

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* clean up

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* copy token_classifier from nlp to asr

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* Address comments

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* Add typing to beam decoding

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* fix transcribe, update asr evaluator

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* Extend the docs for the canary prompt_fn

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* Incorporate changes from Nithin's code review

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* training bug fix and adding launch script for speech_multitask (#8270)

* bug fix and adding launch script for speech_multitask

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* Fix: drop_last must be true in validation/test otherwise the training will hang

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* revert to current transcribe API

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* Remove DALI; rename compute_audio_loss to compute_loss

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* set default use_model_transcribe=False

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* change os.path.dirname to pathlib

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* [canary] Test for CanaryTokenizer + refactoring (#8285)

* Test for CanaryTokenizer

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* Attempt at refactor...

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* Update config for AED models (#8294)

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* Document compute_loss

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(cherry picked from commit d10726d)

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* add code for calling mcore_retro in NeMo

* add code for calling mcore_retro in NeMo

* runnable, training curve match retro mcore and nemo

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* revert to original eval code files

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* revert to original eval code files 3

* revert to original eval code files 4

* clean code

* clean code

* update my code to support changes from lastest main

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* copy paste files from r1.23.0

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* Fixes for MoE parameter passing & use of AutoTokenizer/Model for mistral. (#8272)

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* Keep max_seqlen and cu_seqlens_argmin for later micro-batches when PP>1 (#8334)

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* Change default (#8371)

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* Enable megatron core loggers for GPT pretraining (#8354)

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* mcore ds fix (#8283)

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* addressing Eric's reviews

* adding existing implementation RETRO files

* adding existing implementation RETRO files

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* MCore dataset compatibility for tokenizers (#8390)

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