renwei2024/nemo-github-issues huggingface dataset:
Add a build option to load_context
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

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

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11494978487) 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
nemotron perf recipes
State: closed | Pull request: yes

# What does this PR do ?

Nemotron recipeswith performance optimizations. 

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- Add specific line by line info of high level changes in this PR.

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Support `tie_word_embeddings=True` in `convert_mistral_7b_nemo_to_hf.py`
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

`convert_mistral_7b_nemo_to_hf.py` does not support tied embeddings. In other words,

- `share_embeddings_and_output_weights: true` in `model_config.yaml` in a .nemo checkpoint should be converted to `tie_word_embeddings": true` in `config.json` in an HF checkpoint. 


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ci: Disable feedback on forks
State: closed | Pull request: yes
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ci: Restore docker cache
State: closed | Pull request: yes
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name: Run CICD

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[McoreDistOptim] fix the naming to match apex.dist
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Change the `overlap_param_gather` to `overlap_param_sync` to match with apex.dist.

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Cherry pick `Update NeVA Mixtral Tutorial (10669)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

[🤖]: Hi @paul-gibbons 👋,<br><br>we've cherry picked #10669 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
Mixtral set seq_length=4k
State: closed | Pull request: yes
Labels: name: Run CICD

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this needs the 'r2.0.0' tag right?


@maanug-nv I have it on https://github.com/NVIDIA/NeMo/pull/10526

[🤖]: Hi @akoumpa 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) 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

[🤖]: Hi @akoumpa 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) 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
Remove finetuning recipes for Long Context 
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Removed finetuning recipes due to no use cases

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hey @BoxiangW, this PR broke the test [L0_Unit_Tests_GPU_LLM](https://github.com/NVIDIA/NeMo/actions/runs/11149877529/job/30989881442). Can you help us fixing it?
[MoE] Add FP8 arg for MoE Sequential Gemm
State: closed | Pull request: yes
Labels: name: ASR

name: NLP

name: CI

name: Run CICD

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@pablo-garay I saw the failure test OPTIONAL_L0_Unit_Tests_CPU_ASR / main but it seem not related to my change. Not sure if these are expected?

Close this and move to https://github.com/NVIDIA/NeMo/pull/10748
to avoid CI issues
a few fixes for the new prompt template based dataloader and lora+distributed fused adam
State: closed | Pull request: yes
Labels: name: NLP

name: common

name: Multi Modal

1. tokenize_with_prompt (from Piotr)
2. keep the previous behavior of truncating input_ids when the length is larger than max_seq_length
3. add gemma support
4. make the prompt template compatible with our data which has `context`, `question`, or `default_context` in the manifest
5. support distributed fused adam on lora
6. fix lora ckpt loading and storing issue in naming

verified speechllm-develop can train with `/lustre/fs8/portfolios/llmservice/users/zhehuaic/works/mod_speech_llm/scripts/oci_canary_gpt_gemma_prompt_lorac_lhmerge6_p2h_d5.sh`
add diffusion energon dataloader
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

# What does this PR do ?

add diffusion energon dataloader


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[🤖]: Hi @ethanhe42 👋,

I just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11166294773) for this PR just finished successfully ✨

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

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

Have a great day! 

//cc @ko3n1g

lgtm
Allow logging memory profile on interval
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

Allow logging memory profile via the interval constructor arg.

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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.
Vllm 0.6.0 integration test
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Add integrations to update vllm to 0.6.0

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ci: Add workflow for scheduled VM reboot
State: closed | Pull request: yes
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ci: Stability to CI/CD
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

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[🤖]: Hi @ko3n1g 👋,

I just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11120821848) for this PR just finished successfully ✨

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

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

Have a great day! 

//cc @ko3n1g
MCore Partial DistOpt Feature
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

This PR adds an interface argument to support the MCore Partial DistOpt feature. The argument `num_distributed_optimizer_instances` determines the the level of sharding that can be done on the MCore DistOpt across the DP domain.

The setting need to be set as `training.model.optim. num_distributed_optimizer_instances =2` in the configuration YAML file.

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.

[🤖]: Hi @sanandaraj5597 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/12659627818) 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
mixtral bitexact ci test
State: closed | Pull request: yes
Labels: name: CI

name: Run CICD

# What does this PR do ?

Run Mini-Mixtral (3M) pretraining with Mcore & NeMo and compare bitexactness of checkpoints.
**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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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**:
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- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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## Who can review?

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# Additional Information
* Related to # (issue)


[🤖]: Hi @akoumpa 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11280794259) 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
Add assertion for always save nemo add model parallel size
State: closed | Pull request: yes
Labels: name: core

name: Run CICD

# What does this PR do ?

`always_save_nemo` option is not supported yet to work with model parallel. Added assertions to avoid future confusions.

**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?
- [ ] Did you add or update any necessary documentation?
- [ ] 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)


Seems like we don't have the ability to save '.nemo' in 2.0 right?

Yes, this was an NVbug about NeMo 1.0. We are not going to save .nemo in 2.0 right now

One last request, can we add a test in `test_exp_manager.py` to ensure this configuration will fail?

@maanug-nv  Can you help approve this again? It just passed all tests.
DAPT with NeMo FW
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

Tutorial for DAPT with NeMo Framework

**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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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**:
- [Y ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [N ] Did you write any new necessary tests?
- [N ] Did you add or update any necessary documentation?
- [N ] 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**:
- [ Y] New Feature
- [ ] Bugfix
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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
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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.

Finalizing reviews and comments this week


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.

Reopening this one
Require setuptools>=70 and update deprecated api (#10659)
State: closed | Pull request: yes
Labels: name: NLP

name: Multi Modal

name: Run CICD

* Require setuptools>=70 and update deprecated api



* Apply isort and black reformatting



---------

# 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

The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.

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?
- [ ] Did you add or update any necessary documentation?
- [ ] 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)
Cherry pick `DB tutorial ckpt path update (10662)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Multi Modal

name: Run CICD

name: r2.0.0

[🤖]: Hi @Victor49152 👋,<br><br>we've cherry picked #10662 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!

Failure: https://github.com/NVIDIA/NeMo/actions/runs/11177438116/job/31073124510
Cherry pick `Akoumparouli/fix get tokenizer list (10596)` into `r2.0.0`
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Run CICD

[🤖]: Hi @akoumpa 👋,<br><br>we've cherry picked #10596 into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience\!
Multimodal conversation format dataloading
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.

**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?
- [ ] Did you add or update any necessary documentation?
- [ ] 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)


> 1. what do we still need in dataset code?

Roughly the following:

```python
def __getitem__(self, cuts):

    # existing audio / text processing code

    multimodal_convo_examples = cuts.filter(lambda c: isinstance(c, NeMoMultimodalConversation))
    if multimodal_convo_examples:
        audio_turn_cuts  = []
        formatted_chats = []
        for example in multimodal_convo_examples:
            # input_ids / context_ids / etc. will be pre-populated when you specify train_ds.prompt_format
            formatted_chats.append({"input_ids": example.input_ids, "context_ids": example.context_ids, ...})
            audio_turn_cuts.extend([turn.cut for turn in example.turns])
        audio, audio_lens = self.load_audio(audio_turn_cuts)
        batch["multimodal_conversation"] = {"audio": audio, "audio_lens": audio_lens, "input_ids": collate([c["input_ids"] for c in formatted_chats), ...}
```

> 2. we need to add model code for i) fprop multiple audios ii) replacing audio_locator_tag with audios

Yes. 

> 3. Tar the audios

Yes.
Using MSDD model with a different speaker embedding model
State: closed | Pull request: no
Labels: name: stale

Hello, is it possible to replace the TitaNet embedding model that is used along with MSDD? and if yes, does that require retraining?
I want to construct a pipeline with a different VAD and embedding model but still use the MSDD model

It would still work to a certain degree without re-training, but you will get much better result if you retrain a new model.
Not only MSDD model, optimizing the clustering algorithm on the scale length and scale weights on the new embedding  would also affect a lot on the performance.

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.
Unable to decode using canary 1b model
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**

A clear and concise description of what the bug is.

I am using nemo inside docker environment, with single GPU, unable to get the ASR ouput using canary 1b model

```
Error executing job with overrides: ['pretrained_name=nvidia/canary-1b', 'audio_dir=/opt/workspace/es_test', 'output_filename=canary_output.txt', 'clean_groundtruth_text=True', 'langid=es', 'batch_size=1', 'compute_timestamps=False', 'compute_langs=False', 'cuda=0', 'amp=True', 'append_pred=False', 'pred_name_postfix=canary']
Traceback (most recent call last):
  File "/opt/asr_ensemble/repo/nemo/examples/asr/transcribe_speech.py", line 290, in main
    asr_model.change_decoding_strategy(cfg.ctc_decoding)
  File "/usr/local/lib/python3.10/dist-packages/nemo/collections/asr/models/aed_multitask_models.py", line 203, in change_decoding_strategy
    self.decoding = MultiTaskDecoding(
  File "/usr/local/lib/python3.10/dist-packages/nemo/collections/asr/parts/submodules/multitask_decoding.py", line 377, in __init__
    super().__init__(
  File "/usr/local/lib/python3.10/dist-packages/nemo/collections/asr/parts/submodules/multitask_decoding.py", line 124, in __init__
    raise NotImplementedError("Greedy decoding is not implemented yet.")
NotImplementedError: Greedy decoding is not implemented yet.

```


**Steps/Code to reproduce bug**

    python3 nemo/examples/asr/transcribe_speech.py \
    pretrained_name="nvidia/canary-1b" \
    audio_dir="/opt/workspace/es_test" \
    output_filename="canary_output.txt" \
    clean_groundtruth_text=True \
    langid='es' \
    batch_size=1 \
    compute_timestamps=False \
    compute_langs=False \
    cuda=0 \
    amp=True \
    append_pred=False \
    pred_name_postfix="canary"


**Expected behavior**

A clear and concise description of what you expected to happen.

**Environment overview (please complete the following information)**

 - Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
 - Method of NeMo install: [pip install or from source]. Please specify exact commands you used to install.
 - If method of install is [Docker], provide `docker pull` & `docker run` commands used

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version Ubuntu 20
- PyTorch version
- Python version 3.10

**Additional context**

Add any other context about the problem here.
Example: GPU model


Which NeMo version is this? Greedy decoding for Canary should work if you install the latest 2.0 pre-release, or the latest `main` branch.

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.
Punctuation and Capitalization Model: how to add custom Punctuation marks to prepare data script?
State: closed | Pull request: no
Labels: name: stale

Dear Team,

Please help me to add custom Punctuation marks to following script.

python examples/nlp/token_classification/data/prepare_data_for_punctuation_capitalization.py \
       -s <PATH/TO/THE/SOURCE/FILE> \
       -o <PATH/TO/THE/OUTPUT/DIRECTORY>
       -p ? --marks ?

I can not add.
Thank you in advance!

It seems there is a bug in  create_text_and_labels function of 
.local/lib/python3.10/site-packages/nemo/collections/nlp/data/token_classification

I had tried to run it directly 
`
create_text_and_labels("/tmp", "/punct/src/test.txt", "՞,․՜՝«»՛․։…")
`
But no any result!


The reason is an absent of punctuation marks (punct_marks) in "remove_punctuation" function
`
def remove_punctuation(word: str):
`

The software developer forgot to use them

```
Removes all punctuation marks from a word except for '
that is often a part of word: don't, it's, and so on

all_punct_marks = string.punctuation.replace("'", '')

```

Finally my troubles with this product ended successfully after 10 days of struggling and I am ready to close this issue, but  many questions remain open.
Firstly it is hard and long to install this modul which demands NVIDIA's Transformer Engine.
It requires CUDA and CUDNN, but how can we intall them on the usage machines without GPU? 
It is a serious trouble, because we are not always ready to buy machine with expensive GPU-s to use this function/utility, which is not a core.
I remind you that we are able to use NEMO ASR in none-GPU environment.
 

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 typo in rnnt_bpe_models.py: tokenier -> tokenizer
State: closed | Pull request: yes
Labels: name: stale

name: ASR

# What does this PR do ?
Fix a typo in the `nemo/collections/asr/models/rnnt_bpe_models.py` file. 

**Collection**: ASR

# Changelog 
- Fixed typo `tokenier` to `tokenizer` in `rnnt_bpe_models.py`. 

# Usage
N/A

# GitHub Actions CI

The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.

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**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] 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
- [x] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

Anyone in the community is free to review the PR once the checks have passed. 
[Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas.

# Additional Information
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@pzelasko Could you check the content of this PR? It's been a week since I created the PR, and no one has reviewed it. 

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.