renwei2024/nemo-github-issues huggingface dataset:
Resiliency features update
State: closed | Pull request: yes
Labels: name: core

name: Run CICD

# What does this PR do ?

Changes for the updated version of resiliency features:
- Fault Tolerance
- Straggler Detection

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Updated/clarified documentation
- Removed duplicated "straggler detection" section from the documentation
- Updated straggler detection unit test
- Do not pass logger instance to the straggler det. callback
- Exposed `safety_factor` FT param 
- Pass `exp_dir` to the FT callback

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jenkins
[DRAFT] Lita refactor
State: closed | Pull request: yes
Labels: name: stale

name: Multi Modal

# What does this PR do ?

Refactor LITA part

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- Add specific line by line info of high level changes in this PR.

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refactor: README
State: closed | Pull request: yes

# What does this PR do ?

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refactor: notebook branch release
State: closed | Pull request: yes
Labels: name: TTS

name: ASR

name: NLP

name: Speaker Tasks

name: Multi Modal

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- Add specific line by line info of high level changes in this PR.

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refactor: Uniform BRANCH for notebooks
State: closed | Pull request: yes
Labels: name: ASR

name: NLP

name: audio

# What does this PR do ?

Refactor Notebook `BRANCH = 'main'` to be uniformly the same across all notebooks

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# Changelog 
- Add specific line by line info of high level changes in this PR.

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Gemma 2
State: closed | Pull request: yes
Labels: name: cherry-pick

name: NLP

name: Run CICD

# What does this PR do ?

Duplicate of #9587 for release branch
Also includes transformers version update from #9606

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This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.
[NeMo-UX] Match nemo 1's default behavior for drop_last and pad_samples_to_global_batch_size
State: closed | Pull request: yes
Labels: name: Run CICD

This PR updates the default behavior of NeMo-UX's dataloader to match NeMo 1's. See https://github.com/NVIDIA/NeMo/blob/d4d03857f432a9248e6d58ecea12b17870e112eb/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L1552-L1579.

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chore: Pin branch in notebooks
State: closed | Pull request: yes
Labels: name: TTS

name: cherry-pick

name: stale

name: ASR

name: NLP

name: Speaker Tasks

name: Multi Modal

name: audio

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This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.
[TTS] Add fullband mel codec checkpoints
State: closed | Pull request: yes
Labels: name: TTS

name: Run CICD

# What does this PR do ?

Add fullband mel codec checkpoints to pretrained model list and documentation.

**Collection**: [TTS]

# Changelog 
- Add documentation for fullband mel codec

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[NeMo-UX] Fix non-distributed optimizer save
State: closed | Pull request: yes
Labels: name: Run CICD

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add documentation for reset_lr feature
State: closed | Pull request: yes
Labels: name: cherry-pick

name: stale

name: NLP

name: Run CICD

# What does this PR do ?

Adds a doc file for reset_lr feature.

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- Add specific line by line info of high level changes in this PR.

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This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.

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add dummy vision and text transformer config (assumed mcore to be false)
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

# What does this PR do ?

Add parameters to CLIP model loading for SD training.

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- Add specific line by line info of high level changes in this PR.

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@yaoyu-33
Update the test checking for cooperative kernels in conditional nodes.
State: closed | Pull request: yes
Labels: name: core

name: stale

name: ASR

Now we conditionally xfail only when a cuda driver version less than 12.5 is installed. CUDA 12.5 fixes this issue. Before it, cooperative kernels could not be used within the body of a conditional node.

Those internal can look at internal nvbug 4452698.

This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.

This PR was closed because it has been inactive for 7 days since being marked as stale.
chore: Pin branch in notebooks
State: closed | Pull request: yes
Labels: name: TTS

name: ASR

name: NLP

name: Speaker Tasks

name: Multi Modal

name: audio

# What does this PR do ?

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- Add specific line by line info of high level changes in this PR.

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Alit/mamba
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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- Add specific line by line info of high level changes in this PR.

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Question: Which decoder are we supposed to use on parakeet-tdt_ctc-1.1b model?
State: closed | Pull request: no

The default seems to be rnnt but it fails if we specify compute_timestamps=True in decoding config. 
If I switch the decoder on this model to ctc, it works and also provides timestamps, but i see worse performace in terms of WERs.

That is expected, currently we don't support getting timestamps from tdt/rnnt decoder, so if you are looking for timestamps you could get through CTC, however performance with CTC decoder is a bit degraded compared to tdt decoder but shouldn't be worse. 

I have created this space that gets timestamps from CTC and combines with output from TDT, It might help for your use case. https://huggingface.co/spaces/nvidia/parakeet-tdt_ctc-1.1b

Thanks for your answer, @nithinraok . Is getting timestamps from tdt decoding something that will be released later? 

Unfortunately, no plans for it yet!
[NeMo-UX] Fix imports so local configuration of runs works again
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

# What does this PR do ?

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Updating num_weights check in unit_test of RETRO
State: closed | Pull request: yes
Labels: name: stale

name: NLP

name: Run CICD

Due to underlying changes in MLM mcore RETRO, the total number of parameters slightly changed.
We update the `assert num_weights ` accordingly in unit test for RETRO.

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[Nemo-UX] Including all trainable-params in a PEFT-checkpoint
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

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[NeMo-UX] Fix imports so local configuration of runs works again
State: closed | Pull request: yes
Labels: name: Run CICD

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NeVa::forward - remove device syncs (torch.where) and vectorize over batch dimensions
State: closed | Pull request: yes
Labels: name: stale

name: Multi Modal

name: Run CICD

The following patch modifies the forward of the NeVa model (the `replace_media_embeddings` method) by introducing the following improvements:

- Elimination of `torch.where` with a single argument. That call introduces device synchronizations when run on GPUs.
- Media index selection manipulation in the construction of `padded_media_indices` can be done  in a single vectorized call.
- Reduction in the overall number of kernel launches.
- Elimination of calls to `all`. This also causes device syncs. We can leave it, or run it in debug mode only. It is best to have a dedicated test instead of that assert, imho.

@yaoyu-33 , could you please have another look and let the workflow be run?

FWIW, I ran our little test (a `neva_pretrain.py` invocation) with `NEMO_TESTING=1` and things ran fine there.

@yaoyu-33 , @ericharper , could you please run the workflow again? Thank you!

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bump to kill 'stale'.
i checked that i have access to an internal cluster today, will check convergence soon

Thanks you, @tfogal ! FWIW, the very last CI run turned out to be green

This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.

Is it possible to move it forward? Commenting to remove the current stale status.

This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.

> Remove stale label or comment or update or this will be closed in 7 days.

comment

@yaoyu-33 , could you please enable the workflow so that we could merge it once the tests are green?

This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.

"
Wait it out
Gonna wait it out
Wait it out (be patient)
" The Patient, Tool

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Is there an interest in reviving this PR? I assume it is rather low impact with perf benefits assuming the tests are green. And green they were the last time CIs were run.
add auto configurator to NeMo
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: Speaker Tasks

name: CI

name: Multi Modal

name: Run CICD

name: audio

# What does this PR do ?

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General comment: NeMo uses google-style docstrings so please use that format.

This is already a big PR which in this particular case is OK I feel like since it's a port of functionality that exists in the launcher now. But it seems like it's not rebased correctly and therefore it contains many un-related changes. Can this be fixed @dimapihtar ?

> This is already a big PR which in this particular case is OK I feel like since it's a port of functionality that exists in the launcher now. But it seems like it's not rebased correctly and therefore it contains many un-related changes. Can this be fixed @dimapihtar ?

@marcromeyn @ko3n1g 
no worries about that. It was my try to rebase PR to main branch but it still has a lot of conflicts so I've already created new one based on main branch. I keep this PR opened in order to not to miss @marcromeyn comments. I'll close this PR a bit later.

New PR:
https://github.com/NVIDIA/NeMo/pull/10270
Release automation
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

Adds two workflows:

* "NeMo Code freeze"
* "NeMo Code release"

# "NeMo Code freeze"

Started via workflow dispatch. Input is the next version number. Does the following:

* Reads $CURRENT_VERSION from main, check out new branch `r$CURRENT_VERSION` and pushes to origin and opens PR. Comments in that PR serve as platform for documenting changelog
* Bumps `package_info.py` with $NEXT_VERSION and pushes to `main`

# "NeMo Code release"

Started via comment to PR. Creates GH release/tag, builds and pushes the wheel, closes PR

# Additional Information

This automation requires a couple of secrets like Twine credentials or Personal Access Tokens. We an environment `main` and couple these secrets to it such that they are only exposed when running on that protected branch. Secrets are secure as only code-owners permit changes to `main` and on other branches the secrets are not interpolated.
Cherry pick: LITA Integration
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Multi Modal

name: Run CICD

# What does this PR do ?
To cherry pick https://github.com/NVIDIA/NeMo/pull/9578 LITA integration into 2.0.0rc1. That PR was already merged. See details there.

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NLP and multimodal

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CI passed: https://github.com/NVIDIA/NeMo/actions/runs/9895230553

CI passed: https://github.com/NVIDIA/NeMo/actions/runs/9895230553
[NeMo-UX] Added Megatron loss function and LR scheduler
State: closed | Pull request: yes
Labels: name: core

name: stale

# What does this PR do ?

The PR adds Megatron loss function and LR scheduler for GPT pretrain.

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LLM

# Changelog 
- Parametrized GPT model loss function
- Added `MegatronAnnealing` learning rate and weight decay scheduler
- Added `MegatronMaskedTokenLossReduction` loss function

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Speeds up copying of necessary artifact files with SaveRestoreConnector
State: closed | Pull request: yes
Labels: name: core

name: NLP

name: Run CICD

# What does this PR do ?

Previously, the SaveRestoreConnector would copy and untar entire
checkpoints just to copy out a tokenizer. For models in the >100GB, this
led to timeouts since only rank=0 did this work, while other ranks moved
on and waited at an all-gather barrier (observed NCCL timeout at 10min).

Revision of #9299 that keeps most of the core logic surrounding tempdir creation

I'm looking into the test failures. Very bizarre since running the complete suite locally hangs and I cannot reproduce the failures by running the failed cases individually

I figured out the test failure issue. It turned out in my unit test I `os.chdir` into a temporary directory and don't `os.chdir` back into the CWD. This causes failures for tests in different scopes. So I wasn't seeing the issue when running just the failed tests by themselves, but instead saw it only when running the entire suite together.
Fix few issues and docs for neva and clip in r2.0.0rc1
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

# What does this PR do ?

Fix few issues and docs for neva and clip in r2.0.0rc1

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LGTM. Thanks.