renwei2024/nemo-github-issues huggingface dataset:
add check if num layers is divisible by pp size
State: closed | Pull request: yes
Labels: name: cherry-pick

name: NLP

name: Run CICD

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Fix P-tuning for Llama based models
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Fixes inference with P-tuning.

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# Changelog 
- Added the BOS token for Llama, Mistral and Mixtral.
  
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
Update neva conversion script from and to HF
State: closed | Pull request: yes
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name: Run CICD

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Update neva conversion script from and to HF

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@yaoyu-33 which enroot version did you use? somewhat like

`nvcr.io+nvidia+nemo+24.03.framework.sqsh`
or `nvcr.io+nvidia+nemo+24.03.01.framework.sqsh`

please specify your environment. Thanks!!
neva media_type + text generation default fix
State: closed | Pull request: yes
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Fix trainer builder when exp_manager is not in config
State: closed | Pull request: yes
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name: Run CICD

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Fix trainer builder when exp_manager is not in config

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Fix circular import for MM dataprep notebook
State: closed | Pull request: yes
Labels: name: cherry-pick

name: NLP

name: Multi Modal

name: Run CICD

# What does this PR do ?

- Fix circular import of `nemo.collections.multimodal.models.text_to_image.stable_diffusion.ldm.autoencoder.AutoencoderKL`
- Rename NeMo-Megatron-Launcher to NeMo-Framework-Launcher

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Fix circular import for MM dataprep notebook
State: closed | Pull request: yes
Labels: name: NLP

name: Multi Modal

name: Run CICD

# What does this PR do ?

- Fix circular import of `nemo.collections.multimodal.models.text_to_image.stable_diffusion.ldm.autoencoder.AutoencoderKL`
- Rename NeMo-Megatron-Launcher to NeMo-Framework-Launcher

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Alit/bert convert fix
State: closed | Pull request: yes
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name: Run CICD

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setuptools 70.0.0 results in ImportError: cannot import name 'packaging' from 'pkg_resources' 
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**

NeMo uses the deprecated pkg_resources component of setuptools in the [Megatron GPT model](https://github.com/NVIDIA/NeMo/blob/v1.23.0/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L28). As of yesterday's v70.0.0 release of Setuptools, [this change](https://github.com/pypa/setuptools/commit/e9995828311c5e0c843622ca2be85e7f09f1ff0d)
 removes packaging from being imported by pkg_resouces and results in the above ImportError

**Steps/Code to reproduce bug**

1. install setuptools v70.0.0
2. install NeMo 1.23
3. Attempt to import nemo.collections.nlp.models.language_modeling import MegatronGPTPromptLearningModel

**Expected behavior**

Model to import with no ImportError

**Environment overview (please complete the following information)**

 - Environment location: Cloud (GCP Vertex Workbench instance)
 - Method of NeMo install: pip install nemo-toolkit[all]==1.23

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version: Debian 11
- PyTorch version: 2.0.1
- Python version: 3.10.9


Did you find a solution for this error

> Did you find a solution for this error

Just pin the setuptools version, e.g. `python3 -m pip install setuptools==69.5.1`

why not switching to [`packaging`](https://pypi.org/project/packaging/)?

This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.

This issue was closed because it has been inactive for 7 days since being marked as stale.
Fix loading github raw images on notebook
State: closed | Pull request: yes
Labels: name: cherry-pick

name: ASR

# What does this PR do ?

Fix image loading in tutorial notebook

**Collection**: ASR

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Fix loading github raw images on notebook
State: closed | Pull request: yes
Labels: name: ASR

# What does this PR do ?

Fix image loading in tutorial notebook

**Collection**: ASR

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# Additional Information
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Remove .nemo instead of renaming
State: closed | Pull request: yes
Labels: name: bug

name: core

name: ASR

name: Run CICD

# What does this PR do ?

This is a fix to #9015 which resulted in creating too many .nemo files.

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Docstring needs to be updated but overall ok 

added the test from repro: https://github.com/NVIDIA/NeMo/pull/9281/files#diff-b1e596fcfe12238f95a6145a309dfbcdcee6bd67f68505aa42f8865d759f377bR461
also added removing existing .nemo checkpoints in safe way (rename existing, save new, remove old)

@titu1994 CI on `main` branch is failing so I added a fix which is unrelated to this PR so that CI passes:
https://github.com/NVIDIA/NeMo/pull/9281/files#diff-efe139cc50f2253e4a5f2b5a268dff86f1094531de824da4067590243be7f928R25

There are some issues with the CI, @pablo-garay can you take a look?

@titu1994 I assume it needs to go to 2.0.0.rc as well?

Yup needs to be cherry picked into 2.0 as well
Remove some duplicate code. 
State: closed | Pull request: yes
Labels: name: stale

name: NLP

Remove some duplicate code.

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jenkins

jenkins

jenkins

jenkins

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.
Modelopt Refactor for SDXL Quantization
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

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# Additional Information
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Accept None as an argument to decoder_lengths in GreedyBatchedCTCInfer::forward
State: closed | Pull request: yes
Labels: name: cherry-pick

name: ASR

name: Run CICD

GreedyCTCInfer::forward already allowed for this, so they did not implement the exact same interface. Now, they do.

Also warn about not passing in the decoder_lengths argument. It is likely an error on the user's part not to pass it in explicitly.

# What does this PR do ?

Accept None as an argument to decoder_lengths in GreedyBatchedCTCInfer::forward

**Collection**: ASR

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[Nemo-UX] Move code to collections + fix some small bugs
State: closed | Pull request: yes
Labels: name: Run CICD

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# Additional Information
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Refactor Quantizer for reusing in QAT
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Run CICD

# What does this PR do ?

This PR refactors the Quantizer class used for PTQ so it can be reused for QAT as well (follow-up PR)

Note that functionally wise it is same as before

**Collection**: N/A

# Changelog 
- N/A

# Usage

- N/A

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Could you demostrate/link how do you want to use that refactored `Quantizer`?


Note that changes will need to be unstreamed to another project as well here https://github.com/NVIDIA/NeMo-Framework-Launcher/blob/main/launcher_scripts/conf/ptq/model/quantization.yaml. I think we'll need to chop this slightly

> Could you demostrate/link how do you want to use that refactored `Quantizer`?

Its used in https://github.com/NVIDIA/NeMo/pull/9276

We'll need to do follow up MRs to:
* https://github.com/NVIDIA/NeMo-Framework-Launcher/blob/main/launcher_scripts/conf/ptq/model/quantization.yaml 
* https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/llm_ptq/nemo_ptq.py
(I know it's duplication but it is what it is)

@janekl should I rename `alpha` to `sq_alpha` so it is clear alpha is used only for SQ?

> @janekl should I rename `alpha` to `sq_alpha` so it is clear alpha is used only for SQ?

OK, good idea (same applies to Launcher ofc.)
call set_expert_model_parallel_world_size instead of set_cpu_expert_m…
State: closed | Pull request: yes
Labels: name: bug

name: Run CICD

…odel_parallel_world_size

# What does this PR do ?

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Any tts models in nemo that can simulated human laughter and other human sounds?
State: closed | Pull request: no
Labels: name: stale

Are there any tts models in nemo that support human laughter and other human sounds? If so which ones and how do I use them in python code?

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Pin transformers
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

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Refactor Sequence Packing Script
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

- Pull out core sequence packing logic to nemo.utils so they can be used elsewhere (e.g. NeMo-Aligner)
- Change to loading only tokenizer instead of loading the entire model
- Add docstrings

**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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TRT-LLM Export Code Cleanup
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Cleaning all of the unused functions, classes, etc, after the TRT-LLM API integration.


[get_tensor_parallel_group](https://github.com/oyilmaz-nvidia/NeMo/blob/export-cleanup/nemo/export/trt_llm/tensor_utils.py#L47C5-L47C30) is not used anymore.

I think [this one too](https://github.com/oyilmaz-nvidia/NeMo/blob/export-cleanup/nemo/export/trt_llm/tensor_utils.py#L24C5-L24C30):

I believe [cpu_map_location](https://github.com/oyilmaz-nvidia/NeMo/blob/export-cleanup/nemo/export/trt_llm/utils.py#L63)
is duplicated with [this](https://github.com/oyilmaz-nvidia/NeMo/blob/export-cleanup/nemo/export/trt_llm/nemo/convert.py#L26) 

Also it seems to me `cpu_map_location` and `gpu_map_location` should be in `trt_llm/nemo/nemo.py` since thats where they're only used

[This function ](https://github.com/oyilmaz-nvidia/NeMo/blob/export-cleanup/nemo/export/trt_llm/nemo/convert.py#L418) is only used by `build` and `refit` so it can be removed, eventually though we'll have to add it back as well when `build` and `refit` are moved onto the new API

Thanks @jiemingz for your review. Updating the code per your comments.
Fix T5 G2P Input and Output Types
State: closed | Pull request: yes
Labels: name: TTS

name: cherry-pick

name: Run CICD

# What does this PR do ?

Fix T5 G2P Input and Output Types

**Collection**: tts

# Changelog 
- Fix T5 G2P Input and Output Types

**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


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.
Can't launch NeMo containers with CUDA support
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**
After pulling the image and starting the container, I get the following error:
```
ERROR: The NVIDIA Driver is present, but CUDA failed to initialize.  GPU functionality will not be available.
   [[ Forward compatibility was attempted on non supported HW (error 804) ]]
```

**Steps/Code to reproduce bug**

The command I use to start the container:
```
docker run -it --gpus '"device=1,2"' --ulimit stack=67108864 --runtime nvidia nvcr.io/nvidia/nemo:24.03.01.framework
```

I've also tried the `nvcr.io/nvidia/nemo:dev.framework` image.

**Expected behavior**

CUDA should initialize properly.

**Environment overview (please complete the following information)**

GPU: RTX 2080 Ti
NVIDIA driver version: 535.154.05
CUDA version: 12.2
OS: Ubuntu 20.04.5 LTS (amd64)


This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.

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Per Token Loss Support in NeVA
State: closed | Pull request: yes
Labels: name: core

name: stale

name: NLP

name: Multi Modal

# What does this PR do ?

add Per Token Loss Support in NeVA

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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.

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.
add deprecation warnings
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Multi Modal

name: Run CICD

# What does this PR do ?

1) Adds deprecation warnings for models that will soon be removed.
2) Remove deprecated tests from unit tests and ci/cd.

**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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Hyena Operator
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Add Hyena operator (https://arxiv.org/abs/2302.10866)

**Collection**: NLP

# Changelog 
- Add specific line by line info of high level changes in this PR.

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Audio model collection
State: closed | Pull request: yes
Labels: name: ASR

name: CI

name: Multi Modal

name: Run CICD

name: audio

# What does this PR do ?

This PR moves audio-specific models to a separate collection.

**Collection**: ASR, audio

# Changelog 
- Moved audio-specific models from ASR collection into a separate audio collection
- Moved corresponding tests
- Updated scripts and tutorials

# Usage
n/a

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LGTM besides a couple of little nitpicks

> LGTM overall. We could also rename `https://github.com/anteju/NeMo/blob/pr/audio-collection/examples/audio/speech_enhancement.py` to `https://github.com/anteju/NeMo/blob/pr/audio-collection/examples/audio/audio_to_audio_train.py` to align with rest of the filenames in the examples folder

Done.
sum-reduce grad_norm in DP+CP domain
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Sum-reduce grad_norm in DP+CP domains

# Changelog 
- Sum-reduce grad_norm in DP+CP domains

# Usage
n/a

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passed ci here: https://github.com/NVIDIA/NeMo/actions/runs/9178365706