renwei2024/nemo-github-issues huggingface dataset:
cherrypick-10852
State: closed | Pull request: yes
Labels: name: Run CICD

* fix param gather overlap



* Apply isort and black reformatting



---------

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ci: Use Slack group
State: closed | Pull request: yes
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ci: Add compat
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[🤖]: Hi @ko3n1g 👋,

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Bump `Dockerfile.ci` (2024-10-12)
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/11301008470) for this PR just finished successfully

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[Cherry pick #10632] add SFT/PEFT CI tests and fix checkpointing
State: closed | Pull request: yes
Labels: name: cherry-pick

name: CI

name: Run CICD

# What does this PR do ?

Cherry-picking fixes for recent changes that broke PEFT checkpointing.
Also cherry-picking CI tests here for peace of mind

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Add registry to register all needed classes with artifacts in nemo.lightning.io
State: closed | Pull request: yes
Labels: name: common

name: Run CICD

name: r2.0.0

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Use trainer.local_rank/global_rank
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

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Update experiment dir to /tmp in CI tests
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

# What does this PR do ?

Follow up PR to #10632. Change CI test experiment dir to /tmp 

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[DRAFT] NeVA 1.0 Mcore Dist Opt Support
State: closed | Pull request: yes
Labels: name: stale

name: NLP

name: Multi Modal

# What does this PR do ?

Refreshing [PR#9267](https://github.com/NVIDIA/NeMo/pull/9267/files) from @yaoyu-33.

Currently working with mcore dist opt and not apex dist opt. 

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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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[Draft] Inference autoconfigurator using GenAI-Perf
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

PR adds a script that will test different combinations of TRTLLM parameters using the GenAI-Perf utility, and return a ranking of which combinations perform best.

As part of the support for GenAI-Perf, the TRTLLM deployable has been modified to additionally support Triton-standard names for input and output fields.  It should still be compatible with all existing usages with the non-standard field names as well.

**Collection**: [Note which collection this PR will affect]
examples/
nemo/export/

# Changelog 
- Add auto_config_triton.py script which generates the combinations to compare, and runs them through GenAI-perf
- Modify TRTLLM pytriton deployable to support Triton-standard input/output field names

# Usage
```
python auto_config_triton.py -nc /workspace/checkpoints/Nemotron-3-8B-Base-4k.nemo -mt gptnext --test_paged_kv_cache
```
This example will run the benchmark on the Nemotron3-8B model twice, once with the paged kv cache enabled, and once with it disabled, then compare the results.

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Cherry pick `ub configs (for performance) (10762)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

[🤖]: Hi @malay-nagda 👋,<br><br>we've cherry picked #10762 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
ci: Teardown of container (#10817)
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Upgrade transformers
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Upgrade transformers to 4.45 in preparation for llama 3.2 PR. Test in advance if anything would break with this.

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enable vboost and set LM SM margin
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

enable vboost slider to boost performance

**Collection**: [llm]

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This is just an example. If we want this behavior to be used by default (or easy to include in a custom recipe), we should create a NeMo Run plugin for this, correct? @hemildesai 

> This is just an example. If we want this behavior to be used by default (or easy to include in a custom recipe), we should create a NeMo Run plugin for this, correct? @hemildesai

Thanks @maanug-nv , I refactored it into a NeMo-Run plugin
[nemo-ux] fix param gather overlap
State: closed | Pull request: yes
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name: r2.0.0

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We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11302367768) for this PR just finished successfully

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build: add ipython to ASR requirements
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

This should fix the issue with `plot` and `plot_sample_from_rttm` in `nemo/collections/asr/parts/utils/vad_utils.py` 


**Collection**: ASR

# Changelog 
- Add ipython back to ASR Requirements

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# Additional Information
* FIXES: #10772


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.
Augmenting NeMo 2.0 LoRA implementation 
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Adding small fix for NeMo 2.0 LoRA to support TELayerNormColumnParallelLinear besides TEColumnParallelLinear.

**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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# Add a code snippet demonstrating how to use this 
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[🤖]: Hi @huvunvidia 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11294084989) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

I'm just a bot so I'll leave it you what to do next.

//cc @pablo-garay @ko3n1g
build: Set `NUMBA_FORCE_CUDA_CC`
State: closed | Pull request: yes
Labels: 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 @ko3n1g 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11294027038) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

I'm just a bot so I'll leave it you what to do next.

//cc @pablo-garay @ko3n1g
Cherry pick `NeVA tutorial updates (10836)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Multi Modal

name: Run CICD

[🤖]: Hi @paul-gibbons 👋,<br><br>we've cherry picked #10836 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
Fix VPP bug in MegatronStep
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

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* You can potentially add a usage example below

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[🤖]: Hi @marcromeyn 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11289059272) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

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//cc @pablo-garay @ko3n1g

Should this go into release branch as well?
Fix 2.0 recipe default `num_nodes` and docstrings
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Fix 2.0 recipe default `num_nodes` and docstrings

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# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
* You can potentially add a usage example below

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Closing this in favor of https://github.com/NVIDIA/NeMo/pull/10915
add to init
State: closed | Pull request: yes
Labels: name: ASR

# What does this PR do ?

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# Changelog 
- Add specific line by line info of high level changes in this PR.

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* You can potentially add a usage example below

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# Add a code snippet demonstrating how to use this 
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Diffusion Transformer Training Pipeline
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Implements end-to-end diffusion transformer (DiT) pretraining / fine-tuning. 

**Collection**: diffusion

# Changelog 
- Adds DiT model implementation with cross attention functionality.
- Adds EDM diffusion sampler for higher-order sampling.
- Adds training script to train DiT models on text/image datasets.

# Usage
Readme contains instructions on how to launch training.

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can you fix "
Isort and Black Formatting / reformat_with_isort_and_black (pull_request_target) "?

> can you fix " Isort and Black Formatting / reformat_with_isort_and_black (pull_request_target) "?

@ethanhe42 this is fixed now, it should be ready to merge.

seems that one is still failing "Code scanning results / CodeQL"
add world_size/pp_size runtime check
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

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# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

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[🤖]: Hi @akoumpa 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11338652460) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

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//cc @pablo-garay @ko3n1g
training code for hybrid-autoregressive inference model
State: closed | Pull request: yes
Labels: name: ASR

name: Run CICD

# What does this PR do ?

Modify TDT model code for HAINAN-model training, described in https://arxiv.org/pdf/2410.02597.

**Collection**:
ASR

# Changelog 
masking out the decoder output probabilistically for RNNT Joint network computation.

# Usage
Add the following config in the joint network params to train HAINAN model.

```python
python $NEMO_DIR/examples/asr/asr_transducer/speech_to_text_rnnt_bpe.py \
$YOUR_EXISTING_CONFIGS \
++model.joint.masking_prob=0.5
```

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[Cherry pick #10811] fix model import
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

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