renwei2024/nemo-github-issues huggingface dataset:
a2a fix removed tp world size and group from init
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

a2a fix removed tp world size and group from init

**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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a2a fix removed tp world size and group from init
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

a2a fix removed tp world size and group from init

**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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Adding RETRO tests to Action Tests (cicd-main.yml) 
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

Adding RETRO tests to Action Tests (cicd-main.yml) 

**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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```python
# Add a code snippet demonstrating how to use this 
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Zero-shot evaluation pipeline for mcore RETRO
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Adding zero-shot evaluation code for new RETRO model. The evaluation code for legacy model is modified to *_legacy.py
This PR is on top of huvu/mcore_retro, which implements the new RETRO model.

The files this PR works on are:

- examples/nlp/language_modeling/conf/megatron_retro_inference.yaml
- examples/nlp/language_modeling/megatron_retro_eval.py
- examples/nlp/language_modeling/megatron_retro_qatask_eval.py
- examples/nlp/language_modeling/conf/megatron_retro_qatask.yaml
- nemo/collections/nlp/modules/common/text_generation_strategy.py
- nemo/collections/nlp/modules/common/text_generation_utils.py

**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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* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
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jenkins

jenkins

@huvunvidia  Whats the priority on this ? I am working on a generate function in Mcore, and nemo is also going to switch to use that. So wondering if you want to wait and directly use that. The gnerate function is already done and in review, I hope to get that merged next week. 
It is significantly faster than NeMo (Over several 100% faster.)

> @huvunvidia Whats the priority on this ? I am working on a generate function in Mcore, and nemo is also going to switch to use that. So wondering if you want to wait and directly use that. The gnerate function is already done and in review, I hope to get that merged next week. It is significantly faster than NeMo (Over several 100% faster.)

@shanmugamr1992 Our team schedule to have this in ASAP to move on to the next project. I think it is reasonable to have this PR in for now, and then down the line when the generate function is done and well tested from Mcore side, we will consider updating to use it.  

jenkins
Added NeMo Guardrails paper
State: closed | Pull request: yes

# What does this PR do ?

Added NeMo Guardrails paper to publications.

**Collection**: NLP

# Changelog 
- Added NeMo Guardrails paper to publications.

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* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
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- [ ] 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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- [ ] Bugfix
- [X] Documentation

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Thank you @erastorgueva-nv ! 
In NeMo Guardrails we have GPG signing or sign-off (first is preferred over the second, if possible). I thought that NeMo also accepts GPG. 

In NeMo GitHub we have only signoff. We can look into gpg later
How to specify the rank,delta and dropout values while LORA finetuning 
State: closed | Pull request: no
Labels: name: stale

I am referring the official LORA finetuning notebook

https://github.com/NVIDIA/GenerativeAIExamples/blob/main/models/Gemma/lora.ipynb

Where  in this step
```
from nemo.collections.nlp.parts.peft_config import LoraPEFTConfig
my_peft_config = LoraPEFTConfig(model_cfg)
```
How can I specify the required rank(r value),delta and dropout LORA parameters?




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Warning: nvfuser is no longer supported in torch script
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**

Got the following error when using a built docker container from the `main`.

```
[W init.cpp:767] Warning: nvfuser is no longer supported in torch script, use _jit_
set_nvfuser_enabled is deprecated and a no-op (function operator())
```

Looks like it is the issue of newer version of Pytorch?

**Environment overview (please complete the following information)**

Using docker image built from `Dockerfile` in `main`.


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Fix group_norm issue for Apex when building Dockerfile
State: closed | Pull request: yes
Labels: name: stale

name: CI

# What does this PR do ?

Fix `ModuleNotFoundError: No module named 'group_norm_cuda'` error for Apex when building Dockerfile from `main`.

![image](https://github.com/NVIDIA/NeMo/assets/38853559/e57851ce-a0a6-4de9-b0a1-5bb92573e76d)

**Collection**: [Note which collection this PR will affect]

# Changelog 

Add `group_norm` option when building `apex`.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

# Jenkins CI
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# Before your PR is "Ready for review"
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- [X] Did you write any new necessary tests?
- [X] Did you add or update any necessary documentation?
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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
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Hey @timmoon10 thanks for the reminder! I've update the readme!

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Error when using packed sequence and gradient checkpoint: save_for_backward can only save variables, but argument 5 is of type PakedSeqParams
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**

When trying to train the model using the latest NeMo code (`32e630220d2c24550a869f43ce618949ccf1a1a5`) with gradient checkpoint and packed sequence, getting the following error:

```
...
  File "/scratch/bcsi/xingyao6/nemo-util/Megatron-LM/megatron/core/transformer/tran
sformer_block.py", line 371, in forward
    hidden_states = self._checkpointed_forward(
  File "/scratch/bcsi/xingyao6/nemo-util/Megatron-LM/megatron/core/transformer/tran
sformer_block.py", line 257, in _checkpointed_forward
    hidden_states, context = checkpoint_handler(
  File "/scratch/bcsi/xingyao6/nemo-util/Megatron-LM/megatron/core/transformer/tran
sformer_block.py", line 240, in checkpoint_handler
    return tensor_parallel.checkpoint(
  File "/scratch/bcsi/xingyao6/nemo-util/Megatron-LM/megatron/core/tensor_parallel$
random.py", line 301, in checkpoint                                                    return CheckpointFunction.apply(function, distribute_saved_activations, *args)
  File "/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py", line $
51, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
TypeError: save_for_backward can only save variables, but argument 5 is of type PakedSeqParams
```

**Environment overview (please complete the following information)**

Using commit `32e630220d2c24550a869f43ce618949ccf1a1a5` from the `main` branch with a docker environment build from `Dockerfile`.


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@xingyaoww did you solve this problem
PP support in LoRA merge script
State: closed | Pull request: yes

# What does this PR do ?

- Enable support for models trained with pipeline parallel in LoRA merge script
- Fix output precision in LoRA merge script

**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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jenkins

This feature still needs CI tests. Please add in a subsequent PR.
Rachitg/dpa
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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Fix memory leak at loss func
State: closed | Pull request: yes
Labels: name: cherry-pick

name: stale

name: NLP

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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- 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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Update transpose call to match TE API change
State: closed | Pull request: yes
Labels: name: core

name: cherry-pick

name: stale

# 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]

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- 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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Add Mcore distributed optimizer to Nemo
State: closed | Pull request: yes
Labels: name: core

name: NLP

# 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]

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- 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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Fix memory leak at loss func
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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jenkins
Fix r2.0.0rc0.beta version to be PEP 440 compliant
State: closed | Pull request: yes
Labels: name: cherry-pick

name: stale

# What does this PR do ?

Change PRE_RELEASE to rc0 to be PEP 440 compliant. The name cannot have both rc and beta in it

**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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Pass fp16_lm_cross_entropy to MCoreGpt
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?
Allow passing fp16_lm_cross_entropy to mcore to reduce memory requirements.


*needs* MR in Mcore first.


**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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Mingyuanm/sdxl export
State: closed | Pull request: yes
Labels: name: Multi Modal

# What does this PR do ?

Add SDXL quantization and trt inference pipeline

**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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```python
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New mcore transformer block spec
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

This PR leverages new mcore gpt spece handling. (not yet merged to mcore)

**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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Minor quantization pipeline updates
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

Minor updates to quantization pipeline.

**Collection**: NLP

# Changelog 
- considering `megatron_amp_O2 = True` case
- fixing artifacts handling utils for a legacy .nemo checkpoint (for example, https://huggingface.co/nvidia/GPT-2B-001)


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Add parameter of embedding_read_fusion for MCoreGPTModel
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

This PR adds the support for embedding_read_fusion parameter in MCoreGPTModel. This new parameter will be added into Megatron-LM.

**Collection**: [Note which collection this PR will affect]

# Changelog 

Add the embedding_read_fusion parameter, which is got from self.cfg.

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* 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.

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Riva and k2 ASR WFST decoding
State: closed | Pull request: yes
Labels: name: stale

name: ASR

# What does this PR do ?

Adds Riva and k2 WFST decoding options for ASR inference.

if you are reading this, it means the PR is not finished.
What's left is:

1. Documentation
2. Usage example
3. Tests

**Collection**: ASR

# 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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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.
Update package_info.py
State: closed | Pull request: yes
Labels: name: stale

The code was refined to enhance readability, maintainability, and consistency.

# 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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Update transpose call to match TE API change
State: closed | Pull request: yes
Labels: name: core

# 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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jenkins

@ShriyaPalsamudram Could you sign off your commit using `git commit --amend --signoff`?

jenkins

Alternatively, https://github.com/NVIDIA/NeMo/pull/8751 fixes this bug by removing the transpose caching and relying on the caching logic in `te.make_graphed_callables` with `fp8_weight_caching=True`.

jenkins
Fix r2.0.0rc0.beta version to be PEP 440 compliant
State: closed | Pull request: yes

# What does this PR do ?

Change PRE_RELEASE to rc0 to be PEP 440 compliant. The name cannot have both rc and beta in it

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# 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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Update package version
State: closed | Pull request: yes
Labels: name: cherry-pick

name: stale

# What does this PR do ?

Update package info to match branch name

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# Changelog 
- Add specific line by line info of high level changes in this PR.

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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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Update package version
State: closed | Pull request: yes

# What does this PR do ?

Update package info to match branch name

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- Add specific line by line info of high level changes in this PR.

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Fix initialize UT
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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Rachitg/dpa
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Skip the FP8 parameters by default

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- Add specific line by line info of high level changes in this PR.

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Support alternative mapping TP->PP->DP
State: closed | Pull request: yes
Labels: name: NLP

name: CI

name: Multi Modal

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Add a one line overview of what this PR aims to accomplish.

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