renwei2024/nemo-github-issues huggingface dataset:
Alit/mamba recipe
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

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[🤖]: Hi @JRD971000 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11408866558) for this PR just finished successfully

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@cuichenx The CodeQL points are addressed in the last commit 


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Cherry pick `Fix artifact saving (10914)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

[🤖]: Hi @hemildesai 👋,<br><br>we've cherry picked #10914 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
Fix requirements for MacOS
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Add environment markers according to [PIP documentation](https://pip.pypa.io/en/stable/reference/requirement-specifiers/) for optional requirements not installable on MacOS.
This fixes `pip install -e ".[all]"` on MacOS.

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CLIP Score Fusion model implementation
State: closed | Pull request: yes
Labels: name: stale

name: Multi Modal

# What does this PR do ?

Implemented ClipScoreFusion model (UniIR) which leverages Clip models for multimodal retrieval tasks

**Collection**: [Note which collection this PR will affect]
multimodal


# Usage

```python
model = MegatronCLIPScoreFusionModel(cfg.model, trainer)
```


# Before your PR is "Ready for review"
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## Who can review?
@JRD971000 




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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adapter merge peft
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

merge base model and lora adapter in nemo2

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- Add specific line by line info of high level changes in this PR.

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EMMeTT support in SpeechLLM + tutorial for Lhotse Multimodal Dataloading
State: closed | Pull request: yes
Labels: name: ASR

name: common

name: Multi Modal

name: Run CICD

# What does this PR do ?

This PR extends NeMo and SpeechLLM with the following:
* EMMeTT (optimized training) support for SpeechLLM
* Support for joint audio and text training for `modular_models.py` and `modular_t5_models.py`
* Dedicated `estimate_token_bins.py` and `oomptimizer.py` in `scripts/speech_llm`.
* Dedicated data types for text and multimodal conversation data
* APIs for registering prompt formatting functions for tuples of (data_type, prompt_formatter_type)
* APIs for sequence length measurement (input, output, total) of various data types, seqlen filtering, and 1D+2D bucketing
* Generally a major cleanup of past messy half-solutions related to the above
* Tutorial about the changes related to data loading

**Collection**: multimodal

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Performance mode
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Add performance optimizations as a param

**Collection**: [llm]

# Changelog 

```
if performance_mode:
    recipe = pretrain_performance_optimizations(recipe)
```

# Usage

```python
from nemo.collections.llm.recipes.llama3_8b import pretrain_recipe

recipe = pretrain_recipe(dir='a/b/c', performance_mode=True)
```

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Cherry pick `Warning for missing FP8 checkpoint support for vLLM deployment (10906)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

[🤖]: Hi @janekl 👋,<br><br>we've cherry picked #10906 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!

cc @oyilmaz-nvidia
Generalizing Inference pipeline in NeMo 2.0 to support encoder-decoder models
State: closed | Pull request: yes
Labels: name: common

name: Run CICD

# What does this PR do ?

Re-organizing inference pipeline in NeMo 2.0 for support both decoder and encoder-decoder (and other models).
Tested with GPT and T5.

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# Changelog 
- Add specific line by line info of high level changes in this PR.

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Mechanism to insert BOS/EOS at the beginning/end of dialog
State: closed | Pull request: yes
Labels: name: common

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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# Changelog 
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remove deprecated ci tests
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Run CICD

# What does this PR do ?

Removes deprecated ci tests and ads a deprecation note for features which are no longer supported in NeMo.

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.

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[🤖]: Hi @dimapihtar 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11412081765) for this PR just finished successfully

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CI passed: https://github.com/NVIDIA/NeMo/actions/runs/11412081765
Config defaults for llama2 in 2.0
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Adds default settings to LlamaConfig and classes which inherit from it for better out-of-the-box perf.

**Collection**: llm

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
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Fix for crash with LoRA + tp_overlap_comm=false + sequence_parallel=true
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

name: r2.0.0

# What does this PR do ?

When running LoRA with NeMo 2.0 and setting tp_overlap_comm=false and sequence_parallel=true, training crashes with `RuntimeError: The size of tensor a (4096) must match the size of tensor b (8192) at non-singleton dimension 0`.  This crash occurs because when `tp_overlap_comm=false`:
- ParallelLinearAdapter checks for `tp_overlap_comm_disable_qkv=false` ([this line](https://github.com/NVIDIA/NeMo/blob/9a66eeeac2aa62541476bb4b66ae375b70d2db83/nemo/collections/nlp/modules/common/megatron/adapters/parallel_adapters.py#L259)) and assumes TP overlap is enabled, so it does not disable `self._sequence_parallel`
- LoRA checks `ub_overlap_ag` instead ([this line](https://github.com/NVIDIA/NeMo/blob/9a66eeeac2aa62541476bb4b66ae375b70d2db83/nemo/collections/llm/peft/lora.py#L150)), finds that it is false so TP overlap is disabled, and enables `return_layernorm_output_gathered` for the module.
- Then with both `_sequence_parallel` and `return_layernorm_output_gathered` enabled for this module, a shape mismatch crash occurs.

This PR edits the line in ParallelLinearAdapter to also disable `self._sequence_parallel` if `tp_comm_overlap` is set to false.

++ Folded in #10921 and #10985.

**Collection**: nlp, llm

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Bump `Dockerfile.ci` (2024-10-17)
State: closed | Pull request: yes
Labels: name: Run CICD

🚀 PR to Bump `Dockerfile.ci`.  

📝 Please remember the following to-do's before merge: 
- [ ] Verify the presubmit CI  

🙏 Please merge this PR only if the CI workflow completed successfully.

[🤖]: Hi @ko3n1g 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11375987495) for this PR just finished successfully

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Lora improvement
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

1. Add wildcard matching to LoRA, so that it is more flexible to select which linear layer LoRA is applied on
2. Make module class type (TE vs Mcore local, column vs row) more explicit inside LoRA
3. Allow users to customize freeze strategy
4. (Bug fix) Set mode to training for frozen lora modules

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
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# Add a code snippet demonstrating how to use this 
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[🤖]: Hi @cuichenx 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11380472592) for this PR just finished successfully

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Cherry pick `Nemo 2.0 ckpt support in TRT-LLM export (10891)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

[🤖]: Hi @oyilmaz-nvidia 👋,<br><br>we've cherry picked #10891 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
Huvu/t5 nemo2.0 peft
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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[🤖]: Hi @huvunvidia 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11378374546) for this PR just finished successfully

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[🤖]: Hi @huvunvidia 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11387037906) for this PR just finished successfully

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Fix nemo 2.0 recipes 
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

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Fix artifact saving
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

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[🤖]: Hi @hemildesai 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11389640557) for this PR just finished successfully

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Change dist ckpt defaults
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Enable async ckpt, ckpt every 15mins and reduce preemption time from 5mins to 1min. Disable async ckpt save for the PEFT test as it is not supported at this time. 

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llm

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[🤖]: Hi @ShriyaPalsamudram 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11501631982) for this PR just finished successfully

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Late import prettytable
State: closed | Pull request: yes
Labels: name: Run CICD

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[🤖]: Hi @maanug-nv 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11372954948) for this PR just finished successfully

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Cherry-pick Add registry to register all needed classes with artifacts in nemo.lightning.io (#10861)
State: closed | Pull request: yes
Labels: name: Run CICD



* Add registry to register all needed classes with artifacts in nemo.lightning.io



* Apply isort and black reformatting



* Fixes



* Apply isort and black reformatting



* Fix



* comments



* Apply isort and black reformatting



* Apply isort and black reformatting



* Remove cyclic import



---------

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

**Collection**: [Note which collection this PR will affect]

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- Add specific line by line info of high level changes in this PR.

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# Add a code snippet demonstrating how to use this 
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Cherry-Pick Save yaml config for model in nemo.lightning.io (#10765)
State: closed | Pull request: yes
Labels: name: Run CICD

* Save yaml config for model in nemo.lightning.io



* Apply isort and black reformatting



* Fix bug



* Fix bug



* fix bug



* Add explicit yaml comparison



* Apply isort and black reformatting



* relax test



---------

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Remove opencc upperbound
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Remove opencc upperbound

**Collection**: [nlp]

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- Add specific line by line info of high level changes in this PR.

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[🤖]: Hi @thomasdhc 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11370923958) for this PR just finished successfully

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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.
Remove upper bound on opencc version
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: Speaker Tasks

name: CI

name: Multi Modal

name: audio

# What does this PR do ?

Remove upper bound on opencc version

**Collection**: [nlp]

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- Add specific line by line info of high level changes in this PR.

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call __post_init__ after altering config values (#10885)
State: closed | Pull request: yes
Labels: name: Run CICD

* call __post_init__ after altering config values



* test fix



* turn off SP



---------

# What does this PR do ?

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# Changelog 
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