renwei2024/nemo-github-issues huggingface dataset:
nemo-ux cudagraph
State: closed | Pull request: yes
Labels: name: stale

name: Run CICD

# What does this PR do ?

Adds support for cudagraph in NeMo2.0.

Example config:

> gpt_config = llm.GPTConfig(
>        num_layers=1,
>        hidden_size=128,
>        ffn_hidden_size=256,
>        num_attention_heads=1,
>        seq_length=seq_length,
>        init_method_std=0.023,
>        hidden_dropout=0.0,
>        attention_dropout=0.0,
>        layernorm_epsilon=1e-5,
>        make_vocab_size_divisible_by=128,
>        normalization='RMSNorm',
>        masked_softmax_fusion=False,
>        # Cudagraph options
>        enable_cuda_graph=True,
>        use_te_rng_tracker=True,
>        gradient_accumulation_fusion=False,  # This should be false with cudagraphs
> )

**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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[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)


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Akoumparouli/nemo ux cherrypick 10361 & 10441 & 10423
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 
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# Additional Information
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Romeyn/sampler
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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# Additional Information
* Related to # (issue)
remove stacking operation from batched functions
State: closed | Pull request: yes
Labels: name: ASR

name: Run CICD

# What does this PR do ?

PR removed torch.stack calls from batched function yielding to faster decoding

**Collection**:
ASR

# Changelog 
## Changes in `nemo/collections/asr/modules/rnnt.py`

### Refactoring
- **`batch_initialize_states()`** renamed to **`batch_stack_states`**
  - Reason: The function does not initialize any states, so the name was changed for clarity.
- **`batch_initialize_states()`** minimized torch stack calls
  - Reason: Torch stack internally copies the data.
- **`batch_select_state()`**
  - Reason: Function is hard to read, tried to make it clearer.
  
### Argument Removal
- **`batch_initialize_states()`**: Removed the `batch_states` argument as it was unused.
- **`batch_score_hypothesis()`**: Removed the `batch_states` argument as it was unused.

### Removing redundant calculations
- **`batch_score_hypothesis()`**: removed torch.stack calls since they are not needed. Returning python lists instead.
- **`batch_score_hypothesis()`**: removed `lm_tokens` return value as it was not used.

## Changes in `[nemo/collections/asr/modules/rnnt_abstract.py]`
- reflected comments and argument list changes in derived classes here

## Changes in `[nemo/collections/asr/parts/submodules/rnnt_beam_decoding.py]`
- replaced **`batch_select_state()`** calls with index access as now everything is a python list
- **`recombine_hypotheses()`** returning final hypotheses instead of initial ones.

# 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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**PR Type**:
- [ ] New Feature
- [x] Bugfix
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## 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.
Extending modelopt spec for TEDotProductAttention
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

name: r2.0.0

# What does this PR do ?

Extending modelopt spec (used for PTQ) to use `TEDotProductAttention` in order to support long-context models using sliding window attention (e.g. StarCoder2), see also https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/inference/modelopt_support/gpt/model_specs.py.

**Collection**: NLP

# 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.
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# 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)
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**PR Type**:
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- [ ] Bugfix
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# Additional Information
* Related to https://github.com/NVIDIA/NeMo/pull/9310
[Nemo CICD] flaky test
State: closed | Pull request: yes
Labels: name: stale

name: CI

[Nemo CICD] flaky test

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RNN-T confidence fix
State: closed | Pull request: yes
Labels: name: stale

name: ASR

# What does this PR do ?

If fixes confidence estimation for RNN-T models with blank frames not excluded from the calculation.
Fixes https://github.com/NVIDIA/NeMo/issues/10066

**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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- [ ] 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**:
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- [x] Bugfix
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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 [STT_EN_FASTCONFORMER_TRANSDUCER_XLARG - Throws error for Tensor + List operation in confidence calculation](https://github.com/NVIDIA/NeMo/issues/10066)


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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@GNroy are you going to merge this PR?
[NeMo-UX] Use custom `BatchProgress` class which does not restore states
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# 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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To re-run CI remove and add the label again.
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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?
- [ ] Did you add or update any necessary documentation?
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**PR Type**:
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- [ ] Bugfix
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## Who can review?

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# Additional Information
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[NeMo-UX] Rename weights path during resume
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# 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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RuntimeError: Internal: could not parse ModelProto from /tmp/tmpnf2ficir/tokenizer.decoder.32000.BPE.model
State: closed | Pull request: no
Labels: name: bug

name: stale

Hello, I am running code in the NeMo tutorial, [Sample Conversational AI application](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/AudioTranslationSample.ipynb#scrollTo=RYGnI-EZp_nK).

I pulled a nvcr.io/nvidia/nemo:24.05 docker image, and run the tutorial code in a container. But when I try to load the pretrained MTEncDecModel (4th code cell of the tutorial, 5rd line, `nmt_model = nemo_nlp.models.MTEncDecModel.from_pretrained(model_name='nmt_zh_en_transformer6x6').cuda()`), I got the following error: 
`RuntimeError: Internal: could not parse ModelProto from /tmp/tmpnf2ficir/tokenizer.decoder.32000.BPE.model`

I reinstalled nemo_toolkit using `!python -m pip install git+https://github.com/NVIDIA/NeMo.git@$r2.0.0rc0#egg=nemo_toolkit[all]
` inside the container, to try to solve this problem by align with the branch version, but it did not work. I confirmed the nemo version is `2.0.0rc0` by using `import nemo` and `nemo.__version__`.

I also find this error is probably due to incomplete model structure? Or do I need to change a version of nemo? Could you give me some possible solutions?

Thanks in advance!

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Update s3 checkpoint doc bucket path
State: closed | Pull request: yes
Labels: name: stale

name: Run CICD

# What does this PR do ?

Updates the documentation for S3 checkpointing to have a generic bucket path. 
**Collection**: [Note which collection this PR will affect]

# Changelog 
- Updated text in the `s3_checkpointing.rst` file. 

# 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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- [ ] Did you write any new necessary tests?
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**PR Type**:
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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.

Hi. 
I see this PR has been approved. 
Can it possibly be merged too?
Thanks!

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This PR was closed because it has been inactive for 7 days since being marked as stale.
Support MCORE Distributed Optimizer (#10363)
State: closed | Pull request: yes
Labels: name: core

name: stale

name: NLP

name: CI

name: Run CICD

* add the mcore interface for optim arg; overlap param AG with optimizer



* 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 
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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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Add py-modules to pyproject.toml
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Add py-modules to pyproject.toml

**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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**Pre checks**:
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# Additional Information
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fix asr finetune
State: closed | Pull request: yes
Labels: name: core

name: ASR

name: Run CICD

# What does this PR do ?

Fix the bug that `model.hparams` were not updated when changes to `model._cfg` were made directly (e.g., in `model.setup_optimization()`)


**Collection**: [asr,core]


**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation


# Additional Information
* Related to https://github.com/NVIDIA/NeMo/issues/9824
Update inference tests scripts and models
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Updating test utilities for `nemo.export` module.

**Collection**: NLP

# Changelog 

* Update run.sh & infer_data_path.py for new models & remove deprecated models
* Reorganize `test_data` to better reuse model & build metadata (for example: batch size, sample prompts)
* Bugfix for `trt_llm_export_kwargs` passing


# Usage
* You can potentially add a usage example below

```bash
# Note: this assumes that model directory is mounted at `/opt/checkpoints` in Nemo container:
./tests/export/run.sh
```

# GitHub Actions CI

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To re-run CI remove and add the label again.
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# Before your PR is "Ready for review"
**Pre checks**:
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- [ ] Did you add or update any necessary documentation?
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# Additional Information
* Related to # (issue)
ci: Disable flaky secrets test
State: closed | Pull request: yes
Labels: name: CI

name: r2.0.0

# 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**:
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ci: Fix base branch of secrets detector
State: closed | Pull request: yes
Labels: name: CI

name: r2.0.0

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add cudagraph docs
State: closed | Pull request: yes
Labels: name: documentation

name: stale

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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.
fix NeMoLogger log -> log_dir rename
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Renamed log to log_dir recently in NeMoLogger and did not update this.

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Add unit tests for model configs in nemo.collections.llm
State: closed | Pull request: yes
Labels: name: Run CICD

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I noticed GPT configs from `base.py`, Llama31Config, and Mamba configs are missing. Any concern for adding those as well? 
Also is there any way we can test the Model classes as well?

> I noticed GPT configs from `base.py`, Llama31Config, and Mamba configs are missing. Any concern for adding those as well? Also is there any way we can test the Model classes as well?

@maanug-nv Added all the remaining config tests
ci: Fix hyperlink to PR
State: closed | Pull request: yes
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Updating straggler detection args in NeMo 1.0
State: closed | Pull request: yes
Labels: name: core

name: stale

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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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Cherry-pick 10121 into r2.0.0
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

[🤖]: Hi @JimmyZhang12 👋,<br><br>we've cherry picked ` (10121)` into `r2.0.0` for you! 🚀<br><br>Please review and approve this cherry pick by your convenience!
Sortformer Integration Release Inquiry
State: closed | Pull request: no
Labels: name: stale

Hello NeMo Team,

I’m just a student highly inspired by your work on speaker diarization. I’m particularly excited about Sortformer and its novel use of Sort Loss to address the permutation problem in speaker diarization.

I’m eager to use [Sortformer](https://arxiv.org/abs/2409.06656) in my at home research and would like to ask if there is an expected release date for it within the NVIDIA NeMo framework. 

Thank you for your time and amazing contributions.

Hi, Thank you for showing interest on our work.
The model needs to go through approval processs and PR-reviews.
I am planning to release everything by the end of October 2024, but this could be delayed. 
I will reply to this thread as soon as we release the model.
Thank you.

hi

Hello! Thank you for your work! Are there any updates? Will the Sortformer code be published?

Hey, checking in on this as well, are there any updates with the code release for experimentation?

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.

Hi, folks.
Sortformer diarizer is ready but legal review has been blocking it and kept delaying it over and over.
Now Sortformer diarizer is awaiting the last approval.
Unfortunately it's final review stage met holiday season and delayed even more.
Sorry for delaying this over and over - I will get back to you once it is released.

Sortformer Diarizer 4spk v1 Model Released (January 8, 2025)

The Sortformer Diarizer 4spk v1 model is now fully approved and officially released!

👉 [Hugging Face - NVIDIA Sortformer Diarizer 4spk v1](https://huggingface.co/nvidia/diar_sortformer_4spk-v1)

We are actively working on support for more speakers, streaming models, ASR integrations, and more exciting updates to come!
Add cp_comm_type argument to the set_context_parallel_group call
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Run CICD

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`cp_comm_type` setting looks  good to me. This is an API change which needs TE >= 1.10. Will let NeMo folks decide if this is fine for NeMo container release.
Update modelopt to 0.17.0
State: closed | Pull request: yes
Labels: name: Run CICD

name: r2.0.0

# What does this PR do ?

Updating modelopt to 0.17.0

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May I ask for your approval @pablo-garay as this updates Dockerfile.ci? Thanks

> May I ask for your approval @pablo-garay as this updates Dockerfile.ci? Thanks

Or @ko3n1g... thanks : )
[SD] TE-DPA: Disbale TE-DPA In Inference Flow
State: closed | Pull request: yes
Labels: name: Multi Modal

name: Run CICD

# What does this PR do ?

Specific pattern in SD inference flow can introduce illegal memory access with TE-DPA. We need to disable TE-DPA for eval/inference for now.

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@Victor49152 @gautham-kollu @pablo-garay @ko3n1g Please review the changes, thanks!
cc @Dido0o0