renwei2024/nemo-github-issues huggingface dataset:
Sridhar1ga/multi wer
State: closed | Pull request: yes
Labels: name: stale

name: ASR

# What does this PR do ?

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**Collection**: [Note which collection this PR will affect]

# Changelog 
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# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
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# Before your PR is "Ready for review"
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# Additional Information
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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 rope scaling and convertor
State: closed | Pull request: yes
Labels: name: NLP

name: common

name: Run CICD

# 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]

# 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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# Before your PR is "Ready for review"
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[NeMo-UX] Log `val_loss`
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.

**Collection**: [Note which collection this PR will affect]

# 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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Update megatron trainer builder to create s3_checkpoint_io, and add example script and config
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

This PR updates the megatron trainer builder to handle the creation of the s3_checkpoint_io plugin, which allows legacy checkpoints to be written to S3. 
**Collection**: [Note which collection this PR will affect]
NLP

# Changelog 
- Add specific line by line info of high level changes in this PR.


`MegatronTrainerBuilder::_plugins()`
- Check if dirpath is an s3 dirpath
- If so, creates an s3_checkpoint_io instance and appends it to the trainer plugins to be used by the strategy. 


`megatron_gpt_pretraining_s3_checkpointing.py`
- Example script which uses s3_checkpointing


`megatron_gpt_config_s3_checkpointing.yaml`
- Example config
- Has s3 dirpath in checkpoint_callback config
- Sets mcore_gpt=False
- -When true, model adds `sharded_state_dict` to checkpoint, which uses dist_checkpointing module instead of s3_checkpoint_io. 

# Usage
See example script

```python
# Add a code snippet demonstrating how to use this 
```

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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 was closed because it has been inactive for 7 days since being marked as stale.
akoumparouli/add_check_param_hashes_across_dp_replicas
State: closed | Pull request: yes
Labels: name: core

name: ASR

name: CI

name: Run CICD

# 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]

# 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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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.

The `MegatronStrategy` is started to have a lot of input args. I wonder if we should move the functionality of this PR into a specific Callback that can be passed to the trainer?

@marcromeyn I see, if a callback is the best way to provide this core functionality, more than happy to do it. Please let me know what's the best way to proceed. 

Edit: I will proceed with the callback. Thanks.
fix lita bugs
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

# What does this PR do ?

Fix lita bugs
1. fix script warnings
2. fix lita tutorial nemo version

**Collection**: [Note which collection this PR will affect]

# 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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add rope scaling
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.

**Collection**: [Note which collection this PR will affect]

# 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 
```

# GitHub Actions CI

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Closing in favor of #9815
Fix few issues and docs for neva and clip in r2.0.0rc1
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Multi Modal

name: Run CICD

# What does this PR do ?

Fix few issues and docs for neva and clip in r2.0.0rc1

**Collection**: [Note which collection this PR will affect]

# 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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[NeMo-UX] Fix some dataloading bugs
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.

**Collection**: [Note which collection this PR will affect]

# 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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# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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- [ ] Bugfix
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# Additional Information
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Fix hf hub for 0.24+
State: closed | Pull request: yes
Labels: name: core

name: Run CICD

# What does this PR do ?

Fix the deprecation of ModelFilter

**Collection**: [Core]

# Changelog 
- Add specific line by line info of high level changes in this PR.



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**Pre checks**:
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
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- [ ] Bugfix
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upper bound hf-hub
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.

**Collection**: [Note which collection this PR will affect]

# 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 
```

# GitHub Actions CI

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**Pre checks**:
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# Additional Information
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add reference cycle detector
State: closed | Pull request: yes
Labels: name: core

name: stale

name: Run CICD

# What does this PR do ?

Add a CLI/config option to enable reference cycle detection of tensors.


**Collection**: [Note which collection this PR will affect]

# 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 
```

# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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**PR Type**:
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## Who can review?

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# Additional Information
* Related to # (issue)


TODO nemo 2.0

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.
[Audio] Remove torchaudio from spectrogram transforms
State: closed | Pull request: yes
Labels: name: Run CICD

name: audio

# What does this PR do ?

This PR removes use of `torchaudio` from `AudioToSpectrogram` and `SpectrogramToAudio`.
Classes using `torchaudio` are kept under `AudioToSpectrogamTA` and `SpectrogramToAudioTA`, similarly to `FilterbankFeatures` and `FilterbankFeaturesTA`.

**Collection**: audio

# Changelog 
- Removed `torchaudio` requirement for `AudioToSpectrogram` and `SpectrogramToAudio`
- Added unit tests to check analysis, synthesis, and reconstruction
- Added unit tests to check the update is matching `torchaudio` version

# Usage
* You can potentially add a usage example below

```python
# Prepare analysis and synthesis transforms
encoder = AudioToSpectrogram(fft_length=fft_length, hop_length=hop_length)
decoder = SpectrogramToAudio(fft_length=fft_length, hop_length=hop_length)

# Analysis transform, input shape (B, C, T)
X, _ = encoder(input=x)

# Synthesis transform, output shape (B, C, T)
y, _ = decoder(input=Y)
```

# GitHub Actions CI

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# Additional Information
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Overall LGTM, but needs documenting of all reshapes (e.g. via `einops`)
[NeMo-UX] Use single instance of loss reductions in GPTModel
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Uses a singleton for `training_loss_reduction` and `validation_loss_reduction` in `GPTModel`.

**Collection**: llm

# 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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- [x] Bugfix
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# Additional Information
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[NeMo-UX] Set async_save from strategy rather than ModelCheckpoint
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Makes checkpointing more robust by setting `async_save` from the strategy. This allows us to avoid the restriction that the strategy be set up before attempting to access the the `checkpoint_io` attribute. 

**Collection**: llm

# 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 
```

# GitHub Actions CI

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**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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# Additional Information
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upper bound huggingface-hub version to 0.24.0 (exc.)
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Issue: hf-hub v.0.24.0 removed `ModelFilter`, resulting in the following error:
ImportError: cannot import name 'ModelFilter' from 'huggingface_hub'

Temp fix: Upper bound hf-hub to <0.24.0

Goal is to unblock PRs until ModelFilter's v.0.24.0 equivalent has been added to NeMo. 

**Collection**: [Note which collection this PR will affect]

# 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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# Add a code snippet demonstrating how to use this 
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# Additional Information
* Related to # (issue)
Adds Tiktoken tokenizer for Nemotron-Mistral 12B
State: closed | Pull request: yes
Labels: name: NLP

name: common

name: Run CICD

name: audio

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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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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# Before your PR is "Ready for review"
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## Who can review?

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# Additional Information
* Related to # (issue)
Add OpenAI format response to r2.0.0rc1
State: closed | Pull request: yes
Labels: name: bug

name: Run CICD

# What does this PR do ?

Replica of PR: [https://github.com/NVIDIA/NeMo/pull/9726](https://github.com/NVIDIA/NeMo/pull/9726) which has been merged to main. This PR adds it to https://github.com/NVIDIA/NeMo/tree/r2.0.0rc1 branch as its required for 24.07 release.

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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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# GitHub Actions CI

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# Before your PR is "Ready for review"
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## Who can review?

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# Additional Information
* Related to # (issue)
[NeMo-UX] Add more NeMo Logger tests
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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# 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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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.

# Additional Information
* Related to # (issue)
[NeMo-UX] Add distributed checkpointing unit tests
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.

**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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# GitHub Actions CI

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# Before your PR is "Ready for review"
**Pre checks**:
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

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## Who can review?

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# Additional Information
* Related to # (issue)
ImportError: cannot import name 'ModelFilter' from 'huggingface_hub' while importing from nemo.collections.asr.models import EncDecMultiTaskModel
State: closed | Pull request: no
Labels: name: bug

I am attempting to use the tutorial code found on huggingface's ''. While importing from nemo.collections.asr.models import EncDecMultiTaskModel I produce the following code. ImportError: cannot import name 'ModelFilter' from 'huggingface_hub'. I have matched the HF package in the requirements documents.


File --------------------[lib/python3.10/site-packages/nemo/core/classes/common.py:31](http://localhost:8888/home/colton/anaconda3/envs/beer_crawl/lib/python3.10/site-packages/nemo/core/classes/common.py#line=30)
     29 import torch
     30 import wrapt
---> 31 from huggingface_hub import HfApi, HfFolder, ModelFilter, hf_hub_download
     32 from huggingface_hub.hf_api import ModelInfo
     33 from omegaconf import DictConfig, OmegaConf

ImportError: cannot import name 'ModelFilter' from 'huggingface_hub'

NeMo is notorious for not pinning their versions (`huggingface_hub>=0.20.3` in requirements.txt). `huggingface_hub` released an new version 2 days ago ([release notes](https://github.com/huggingface/huggingface_hub/releases/tag/v0.24.0)). That might be whats causing the issue, especially if you did a fresh install of the `nemo-toolkit` from pip. I recommend doing a forced reinstall of `huggingface_hub` to its previous version and see if that helps. 

I am also running into this problem but at the time of writing this message, I have not tried out the recommended solution. Hope this helps! 

**This issue is likely caused by a version mismatch between the nemo_toolkit and the huggingface_hub package.** 

> ModelFilter and DatasetFilter are completely removed

By matching the `huggingface_hub` version to `0.22.0`, I was able to resolve the import error. If you are using `nemo_toolkit==1.23.0`, this version of `huggingface_hub` should work.

I hope this helps others facing the same issue!


When I install `huggingface-hub==0.22.0` it says
```
ImportError: huggingface-hub>=0.23.2,<1.0 is required for a normal functioning of this module, but found huggingface-hub==0.22.0.
Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main
```

I guess you could use `huggingface-hub==0.23.2`, so that it works

Thanks @vygodisgreat -  that fix worked for me (huggingface-hub==0.23.2)

Again it doesn't work with the out of the box version (huggingface-hub==0.23.2) works though

Install huggingface-hub<0.24.0 works for me.

Has anyone successfully solved this can you please share your env.yaml or requirements.txt along with python version please 

After trying a bunch of configurations, this set seems to work for me without any version mismatch error.
```bash
!pip install transformers==4.40.0
!pip install huggingface_hub==0.21.3
!pip install tokenizers>=0.21
!pip install datasets==2.19.0
```
fix small bugs
State: closed | Pull request: yes
Labels: name: Multi Modal

# What does this PR do ?

Fix warnings for the dataset conversion scripts.
Fix lita 1.0 variable bug.

**Collection**: [Note which collection this PR will affect]

# 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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# GitHub Actions CI

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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
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# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
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If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

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# Additional Information
* Related to # (issue)
Editing mcore T5 initialization interface to compatible with latest M-LM
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Run CICD

# 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]

# 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 
```

# GitHub Actions CI

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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".

# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
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If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

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# Additional Information
* Related to # (issue)
Question: Difference of paths2audio_files param and path in manifest file for speaker diarization with ClusteringDiarizer
State: closed | Pull request: no
Labels: name: stale

Hello,
First I used the ClusteringDiarizer just like shown in the provided tutorial https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Diarization_Inference.ipynb.
I provided the path to my audio file in the manifest file with the audio_filepath key. The file was getting diarized with a good result. 

```
from nemo.collections.asr.models import ClusteringDiarizer
config = OmegaConf.load(path/to/config)
sd_model = ClusteringDiarizer(cfg=config)
sd_model.diarize()

```

However I just tried to use the .diarize() method with the paths2audio_files functionality to provide the file path to my file directly as a parameter in the diarize method.

```
paths = [„path/to/audio/file/1“]
sd_model.diarize(paths)
```

The results of the same files diarized with the paths2audio_files functionality are significantly worse than diarizing them, providing the path in the manifest file.
Sadly I can’t find much documentation on  what the differences between the two possibilities are in terms of the actual speaker diarization. 

Furthermore I noticed when providing more than one file to the paths2audio_files, the computation time when diarizing the files is much faster compared to manually diarizing them after each other and changing the path in the manifest file. 

So the question is what differences are there between the two approaches, and what influences the result of the diarization of the same audio file?



Hei, I have the same issue! Im getting frustrated

Thanks for bringing this. Looks like the path followed when providing audio_files is being diverged compared to manifests. 

@weiqingw4ng pls have a look at this issue. 

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.
ci: Fix changelog-config
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

This fixes the template such that collapsable sections are properly rendered.

**Collection**: [Note which collection this PR will affect]

# 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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# GitHub Actions CI

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The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
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# Before your PR is "Ready for review"
**Pre checks**:
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- [ ] Did you write any new necessary tests?
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
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## Who can review?

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[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.

# Additional Information
* Related to # (issue)