renwei2024/nemo-github-issues huggingface dataset:
Update continual pre-training argument override strategy
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Update continual pre-training argument override strategy. Input args are going to be merged with existing ones inside the checkpoint.

**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)
Integrate mcore TRT-LLM export
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

Replacing export functions with the mcore ones.


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Disable barriers leading to deadlocks in checkpointing with multi-node training
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

Per internal slack conversation, some multi-node trainings suffered from checkpoints being randomly removed between resumed jobs. After disabling `save_top_k` checkpointing option, the training is then running into deadlocks related to unfinished/last checkpoint logic. I traced down the deadlocks to a number of barriers, that when removed, seem to unblock the training.

**Collection**: All

# 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 feature to drop checkpoint layers
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

1. Adds a feature similar to mcore's --skip-train flag.
2. Adds drop-layers feature support.
3. Adds script which loads the ckpt, trims needed layers, and saves trimmed checkpoint.

**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
* Related to # (issue)
mistral ckpt converter tokenizer fix
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

For instruct models fallback to HF tokenizer.

**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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Upcycling support for GPT based model to a MoE model
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: CI

name: common

name: Multi Modal

name: audio

# What does this PR do ?

This is closed. New PR here: https://github.com/NVIDIA/NeMo/pull/10485
Adds support for upcycling pretrained weights to a MoE model. This follows the paper: SPARSE UPCYCLING: TRAINING MIXTURE-OF-EXPERTS FROM DENSE CHECKPOINTS ([https://arxiv.org/pdf/2212.05055](https://arxiv.org/pdf/2212.05055))

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
```python
python NeMo/examples/nlp/language_modeling/megatron_gpt_upcycling.py \
--config-path=/path/to/MoE/config/ \
--config-name=MoE/config/name.yaml \
+restore_from_path=/path/to/base/model 
```
Where you MoE config should contain the target MoE model you want to train. The base model you want to upcycle can also be directly added to this config under the argument `restore_from_path`. 

# GitHub Actions CI

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# Additional Information
* Related to # (issue)


could you also provide the instruction to run the script?

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Support multiple hard negatives in GPT embedding model
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

Adds support for multiple hard negatives in GPT Embedding model during training

**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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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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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.
[NeMo-UX] Fix logging of consumed samples in MegatronDataSampler
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
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Bug fix for pooler causing dist checkpointing exception
State: closed | Pull request: yes
Labels: name: cherry-pick

name: stale

name: NLP

name: Run CICD

# What does this PR do ?
Move pooler into the flag of post processing so that it doesn't get built on all the pp ranks. 

Add a one line overview of what this PR aims to accomplish.

**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 
```

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**Pre checks**:
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# Additional Information
* Related to # (issue)


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.
test main
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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# 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)
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# Additional Information
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[NeMo-UX] Wait for async checkpoint calls to complete in preemption callback
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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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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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation

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# Additional Information
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Make MegatronStrategy.parallelism return ParallelismConfig
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)
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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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[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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add the mcore interface for optim arg; average_in_collective
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?

Add the interface to pass the argument for gradient average reduction to MegatronCore

# Changelog 
- Add `average_in_collective`

# Usage
- Set by `model.optim.average_in_collective` to enable


# 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?
  
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- [ ] Bugfix
- [ ] Documentation

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# Additional Information
* Related to # (issue)
Add support for LoRA on vLLM
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

Adds support for using LoRA adapters on checkpoints exported to vLLM.

**Collection**: NLP

# Changelog
- Moved the LoRA conversion logic from the `convert_nemo_to_canonical.py` script to a reusable module
- Implemented on-load conversion of Nemo format LoRA checkpoints into HF format for vLLM
- Added support for enabling LoRAs on vLLM with automatic max rank detection
- Fixed the logger initialization in the vLLM deployment script

# Usage

```bash
python deploy_vllm_triton.py -nc /path/to/checkpoint.nemo -lc /path/to/lora.nemo -tmn TEST ...
python query.py -mn TEST -p "Prompt text" -lt 0
```
 
**PR Type**:
- [X] New Feature


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.
Bug fix for pooler causing dist checkpointing exception
State: closed | Pull request: yes
Labels: name: NLP

name: Run CICD

# What does this PR do ?
Move pooler into the flag of post processing so that it doesn't get built on all the pp ranks. 

Add a one line overview of what this PR aims to accomplish.

**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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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.
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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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- [ ] Bugfix
- [ ] Documentation

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## 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
* Related to # (issue)
Interaction between sampler len and trainer on restarts.
State: closed | Pull request: no

https://github.com/NVIDIA/NeMo/blob/adcc72bfbb0344a9c2cbcd1ece9897b1c846f6dd/nemo/lightning/data.py#L192-L203

When you restart a job, you typically set consumed_samples to a non-zero value. This has the side effect of changing the length returned of the sampler. If the trainer current step is restored to some value N < total, and the trainer uses `len(loader)` to re-compute remaining steps, then when you restart a job the current step is properly restored, but the length of your progress bar (total) shrinks by N so it's then `total - N`. Can you verify that on restart this does not happen? Ideally adding a stop/go test where a trainer job is artificially stopped at some step less than total and resumed, then the total number of steps and all relevant parameters are checked to ensure that resumption worked properly.

This was definitely an issue for us in BioNeMo1 that we "fixed" by changing the length calculation to not be dependent on `consumed_samples`, since it seemed that at the time at least the lightning Trainer used `len(dataloader)` at init time (even when restarting) to determine the length of the progress bar.

This has been resolved, can be closed.
Re-tarring script 
State: closed | Pull request: yes
Labels: name: common

name: Run CICD

# What does this PR do ?

Utility to help people re-build tarred datasets when they want only a small subset of them, based on a filtered manifest.

**Collection**: ASR

# 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**:
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- [ ] Did you add or update any necessary documentation?
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  - [ ] 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?

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
* Related to # (issue)


@zhehuaichen  Glad you asked, as it turns out I forgot to push a commit that does it (see https://github.com/NVIDIA/NeMo/pull/10004/commits/8017db4a1d9d5a3db8a9c63a7aaff77061e0a261). 

Now it's all good and ready to merge.
ERROR: Docker build
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**

The Docker build command in the README does not build.

**Steps/Code to reproduce bug**

```sh
DOCKER_BUILDKIT=1 docker build -f Dockerfile -t nemo:latest
```

**Expected behavior**

You will get the following error message

```sh
ERROR: "docker buildx build" requires exactly 1 argument.
See 'docker buildx build --help'.

Usage: docker buildx build [OPTIONS] PATH | URL | -

Start a build
````

**Environment overview (please complete the following information)**

 - Ubuntu 22.04
 - Docker version 27.1.1

**Additional context**

The following command would have built.
```sh
DOCKER_BUILDKIT=1 docker build -f Dockerfile.ci -t nemo:latest .
```


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.
Add deploy and REST API support to NeMo 2.0
State: closed | Pull request: yes
Labels: name: cherry-pick

name: Run CICD

# What does this PR do ?

1. Adds `deploy` method from NeMo 1.0 as a `task` to NeMo 2.0 
2. This PR aims at minimum viable product to deploy and expose REST API with NeMo 2.0 and hence only adds `TRTLLM` backend route of deploy module to NeMo 2.0. Also, it only supports the basic arguments  for the export method. More optimizations like `paged_kv_cache`, `parallel_embedding`, `lora_plugin`, `multi_block_mode` etc., and other backends (like `in-framework`) will be supported in a subsequent PR.


**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?

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
* Related to # (issue)
add feature to drop checkpoint layers
State: closed | Pull request: yes
Labels: name: NLP

name: common

name: Run CICD

# What does this PR do ?

1. Adds a feature similar to mcore's --skip-train flag.
3. Adds drop-layers feature support.
4. Adds script which loads the ckpt, trims needed layers, and saves trimmed checkpoint.

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
* Trim the model. Please, note that layer indices start from 1. Llama3 8b model example:
```ubuntu
python -m torch.distributed.launch --nproc_per_node=8 \
     NeMo/examples/nlp/language_modeling/megatron_gpt_drop_layers.py \
     --path_to_nemo /path/to/model.nemo \
     --path_to_save /path/to/save/trimmed_model.nemo \
     --tensor_model_parallel_size 8 \
     --pipeline_model_parallel_size 1 \
     --gpus_per_node 8 \
     --drop_layers 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
```
If you want to save trimmed model in zarr ckpt format (deprecated), add this flag to the command:
```ubuntu
--zarr
```

* Validate the model:
```ubuntu
python NeMo/examples/nlp/language_modeling/megatron_gpt_pretraining.py \
  --config-path=/path/to/folder/with/model/config \
  --config-name=llama3_8b.yaml \
  trainer.limit_val_batches=number_of_batches_in_validation_step \
  model.restore_from_path=/path/to/trimmed_model.nemo \
  model.skip_train=True \
  model.data.data_impl=mock \
  model.data.data_prefix=[]
```
To use specific dataset instead of mock dataset:
```ubuntu
model.data.data_impl=mmap \
model.data.data_prefix=["path/to/datafile1", "path/to/datafile2"]
```

# 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?

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
* Related to # (issue)
Add blend dataset in NeVA
State: closed | Pull request: yes
Labels: name: NLP

name: Multi Modal

name: Run CICD

# What does this PR do ?

Add blend dataset in NeVA for both unpacked and packed sequence.

**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?

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
* Related to # (issue)


@yaoyu-33 could we merge this [fix on sig/clip](https://github.com/NVIDIA/NeMo/pull/9842) pr to main? so that I could rebase and remove the similar fix in this PR. Thanks!
[Multimodal] Support data blending in NeVA
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: CI

name: common

name: Multi Modal

name: audio

# What does this PR do ?

added support for data blending in NeVA.

**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?

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
* Related to # (issue)
[NeMo-UX] proposal for updated 2.0 progress logger
State: closed | Pull request: yes
Labels: name: Run CICD

# What does this PR do ?

This introduces a new `MegatronProgressPrinter` class which simply prints the metrics to stdout in a similar style to Megatron. This implementation is more robust as the TQDM progress bar is not well-suited for non-interactive settings.

The train step logging looks like this: 
```
Epoch 0, iteration 1/100: | global_step: 0 | reduced_train_loss: 10.93 | train_step_timing in s: 1.352
Epoch 0, iteration 2/100: | global_step: 1 | reduced_train_loss: 9.409 | train_step_timing in s: 1.016
Epoch 0, iteration 3/100: | global_step: 2 | reduced_train_loss: 9.619 | train_step_timing in s: 1.018
Epoch 0, iteration 4/100: | global_step: 3 | reduced_train_loss: 8.796 | train_step_timing in s: 1.014
```

And the validation step logging looks like this:
```
Validation: batch 1 / 32
Validation: batch 2 / 32
Validation: batch 3 / 32
Validation: batch 4 / 32
```

**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?

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
* Related to # (issue)
Build pooler only in the last pp rank 
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Build pooler only in the last pp rank (Dist checkpoint will fail if you build in more than one rank)

**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

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?

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
* Related to # (issue)
Fix sdxl inference and add compatible changes for launcher support
State: closed | Pull request: yes
Labels: name: Multi Modal

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

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?

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
* Related to # (issue)


@yaoyu-33 Could you please review
nemo-ux: Use kv_channels to enable cases where head_dim != hidden_size // head…
State: closed | Pull request: yes
Labels: name: Run CICD

Use kv_channels to enable cases where head_dim != hidden_size // head_num

for example as is the case with the 2407 modes: https://huggingface.co/mistralai/Mistral-Large-Instruct-2407

# 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?

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
* Related to # (issue)