renwei2024/nemo-github-issues huggingface dataset:
Add torch_dist_ckpt support
State: closed | Pull request: yes
Labels: name: NLP

name: CI

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Github Actions CICD init - Part 2
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: CI

name: common

name: Multi Modal

# What does this PR do ?
Follow up adjustments for running CI in main branch

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Update README.rst
State: closed | Pull request: yes
Labels: 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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llm embeddings minor bug fix
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

bug fix for embeddings model

**Collection**: [NLP]

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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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Akoumparouli/fix ia3 moe mixin
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?
1) when registering an IA3 mixin with an MoE layer it only runs on the MLP parts.
2) small change in `MCoreMLPMixin` forward to accomodate for when `linear_fc1` is not a TE layer.

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# Add a code snippet demonstrating how to use this 
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Will re-open if we need to include ia3 for MoE in the future.
Reduce system memory usage during checkpoint loading/saving
State: closed | Pull request: yes
Labels: name: core

name: NLP

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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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Packed sequence data shuffling & without `thd` attention
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Enable 1) data shuffling for packed sequence dataset, and
2) packed sequence with normal attention kernel (no `thd` attention) for certain benchmarking applications

**Collection**: NLP

# Usage
Data shuffling is automatically enabled.
To enable packed seq without `thd` attention, put the following in the run command
```bash
	+model.data.train_ds.packed_sequence=True 
	+model.data.train_ds.packed_sequence_return_cu_seqlen=False  # new
```

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Akoumparouli/moe a2a
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?
Pending Mcore

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# 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.

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.
gpt SFT model inference did not return the prediction results
State: closed | Pull request: no
Labels: name: bug

name: stale

After running the fine-tuning script at examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py,

I got a sft gpt .nemo model, and I am trying to run the inference script at examples/nlp/language_modeling/tuning/megatron_gpt_generate.py

even though I have specified the output file path in  examples/nlp/language_modeling/tuning/conf/megatron_gpt_generate_config.yaml

the running looks good but it only reported the test loss, it did not generate any inference results (a jsonl/txt file) in the output file path.

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.
Draft: Open source export module
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: CI

name: common

name: Multi Modal

# What does this PR do ?

Open sourcing the export and deploy module that exports a nemo checkpoint to TensorRT-LLM and serves it using PyTriton.

**Collection**: [None]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
* You can potentially add a usage example below

```python

# A simple example is as follows. 

# Run the following on the server side

from nemo.export import TensorRTLLM
from nemo.deploy import DeployPyTriton

# To export to TRT-LLM

trt_llm_exporter = TensorRTLLM(model_dir="/path/to/trt_llm_engine_folder")
trt_llm_exporter.export(
    nemo_checkpoint_path="/path/to/nemo/ckpt.nemo",
    model_type="model_type",
    n_gpus=1,
)

# To start serving on Triton server

nm = DeployPyTriton(model=trt_llm_exporter, triton_model_name="LLM")
nm.deploy()
nm.run()

# To query the model, please run the following on a the client side

from nemo.deploy import NemoQuery

nq = NemoQuery(url="localhost:8000", model_name="LLM")
output = nq.query_llm(
    prompts=["what is the color of a banana?"], , top_k=1, top_p=0.0, temperature=1.0,
)

```

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**Pre checks**:
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- [x] Did you add or update any necessary documentation? (Added documentation on the gitlab repo for the docs. Will need to make some updates though)
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Closing this since opened a new one
add fsdp fix for tp > 1
State: closed | Pull request: yes
Labels: name: NLP

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# Add a code snippet demonstrating how to use this 
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multimodal/speech_cv collection update (Audio Visual Speech Recognition)
State: closed | Pull request: yes
Labels: name: stale

name: ASR

name: common

name: Multi Modal

# What does this PR do ?

Update the multimodal/speech_cv branch to support audio-visual speech recognition (CTC, RNN-T and Hybrid)

**Collection**: [multimodal/speech_cv]

# Changelog 
- Update speech_cv branch
- bug fix
- Add audio-visual datasets
- Add audio-visual models: (AudioVisualEncDecCTCModelBPE, AudioVisualEncDecCTCModel, AudioVisualEncDecHybridRNNTCTCBPEModel, AudioVisualEncDecHybridRNNTCTCModel, AudioVisualEncDecRNNTBPEModel, AudioVisualEncDecRNNTModel)
- Add audio-visual modules (FusionModule, InterCTCMixin)
- Optional ConformerEncoder module 'pre_encode' by setting 'feat_in' to None

# Usage
* You can potentially add a usage example below

```python
import nemo.collections.multimodal.speech_cv as nemo_cv
from omegaconf import OmegaConf

config_path = "model_config.yaml"
params = OmegaConf.load(config_path)

# hybrid CTC/RNN-T BPE audio-visual speech recognition model
model = nemo_cv.models.AudioVisualEncDecHybridRNNTCTCBPEModel(cfg=params.model)
```

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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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Various docs fixes: typos, changing urls to relative links
State: closed | Pull request: yes
Labels: name: TTS

name: ASR

name: NLP

name: Multi Modal

# What does this PR do ?

Various docs fixes: typos, changing urls to relative links

**Collection**: Docs

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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 Transcription data classes for Python 3.11
State: closed | Pull request: yes
Labels: name: ASR

# What does this PR do ?

Update dataclass instantiation to support python 3.11

**Collection**: [ASR]

# Changelog 
- Update the field init for internal config of transcription for Classification and AED models

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- [x] Bugfix
- [ ] Documentation


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Add script for packed sequence data preparation
State: closed | Pull request: yes

# What does this PR do ?

Add script for packed sequence data preparation. The feature of sequence packing was added in  #7945 

**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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- [ ] Bugfix
- [ ] Documentation

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Update the interface of userbuffer tensor-parallel communication overlap
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

TransformerEngine and MCORE interface change to support TP ReduceScatter overlap with send/recv.

**Collection**: [Note which collection this PR will affect]

# Changelog 
- Change the argument names of LayerNormLinear and Linear modules to TE and MCORE modules.

# Usage
User should set the overlap `method` and the use of `atomic_gemm` in the yaml config file as below.
```python
proj_fprop:
  method: pipeline
  num_sm: 24
  cga_size: 2
  num_splits: 4
  set_sm_margin: 1
  atomic_gemm: 0

fc2_fprop:
  method: ring_exchange 
  num_sm: 1 
  set_sm_margin: 1  
  atomic_gemm: 0  
```

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Fix Jenkinsfile
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

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```python
# Add a code snippet demonstrating how to use this 
```

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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

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Docs mobile view fix
State: closed | Pull request: yes

# What does this PR do ?

Some fixes for the github io main page when viewed on small (mobile) screens

**Collection**: Github io page

# Changelog 
- I accidentally introduced a bug in https://github.com/NVIDIA/NeMo/pull/8595 - there was an unmatched `</div>` tag. I remove it in this PR.
- I also comment out some CSS fields which were preventing the text boxes from scaling with the screen at narrow screen widths.
- Also removed a redundant `<br>` tag.

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* Related to # (issue)
Enable IA3 for Gemma and Starcoder
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Add IA3 support for models that specify `kv_channels`, `num_query_groups` and have `bias`, e.g. Gemma, Starcoder, and Llama 70B

**Collection**: NLP

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- Add specific line by line info of high level changes in this PR.

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jenkins
removign dist_sync from asr related models to prevent desync
State: closed | Pull request: yes
Labels: name: stale

name: ASR

name: Multi Modal

Remove `dist_sync_on_step` flag from all ASR models to prevent potential desync bug on multi GPU training.

Add a one line overview of what this PR aims to accomplish.

There's a technical bug where unbalanced distribution of data across distributed setting can cause a desync with torch Metrics. (This is primarily a case with Lhotse dataloaders.) This remove two flags from Torch Metrics to avoid this flag. (`sync_on_compute` and `dist_sync_on_step`). It also removes the potential to call `dist_sync_on_step` for ASR related models. 

**Collection**: [ASR]

# Changelog 
- For every ASR model, `dist_sync_on_step` is no longer a potential flag. (This flag was unnecessary since ASR models average all batch metrics on epoch end, so sync is unnecessary.)
- Disables `sync_on_compute` for ASR and BLEU models to avoid potential bug. 
- Moves SacreBleu backend calls to NeMo ASR Metric interface for easier access.

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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.
Update embedded HF space to be Canary
State: closed | Pull request: yes
Labels: name: ASR

# What does this PR do ?

Update embedded HF space to be Canary - forgot to update this link in https://github.com/NVIDIA/NeMo/pull/8671

**Collection**: Docs

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- Add specific line by line info of high level changes in this PR.

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# Additional Information
* forgot to update this link in https://github.com/NVIDIA/NeMo/pull/8671
bug fix for avg metric
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

fixes bug introduced by #8622 

**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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jenkins

jenkins

jenkins

jenkins

jenkins
Draft: triton inference server for NeMo ASR
State: closed | Pull request: yes
Labels: name: stale

name: ASR

Very much a draft right now.

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.

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.

Not stale. I've been incorporating work done in this branch piecemeal into the main branch.

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.

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.

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.
GPT SFT eval fix
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.

**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

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# Add a code snippet demonstrating how to use this 
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jenkins

Close in favor of #8674
Docs updates: compress NeMo core, add ASR Model spotlight
State: closed | Pull request: yes
Labels: name: ASR

name: NLP

# What does this PR do ?

Per the title, plus replaced the original embedded HF space with the Canary one.

**Collection**: docs

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OSS export and deploy modules
State: closed | Pull request: yes
Labels: name: TTS

name: ASR

name: NLP

name: Speaker Tasks

name: CI

# What does this PR do ?

Open sourcing the export and deploy modules

**Collection**: No collections will be affected. There will be two new modules, export and deploy.

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- Add specific line by line info of high level changes in this PR.

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Closing this to have smaller PRs
Update readme for installation
State: closed | Pull request: yes

# What does this PR do ?

**Collection**: [All]

# Changelog 
- Add section describing installation paths and recommendations

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**Pre checks**:
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Update GH pages homepage text
State: closed | Pull request: yes

# What does this PR do ?

Update GH pages homepage text

**Collection**: github io page

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add mcore support for bert embedding models
State: closed | Pull request: yes
Labels: name: NLP

name: CI

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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@JRD971000  Can you also add a deprecation warning to all nemo bert models . Say that it will be deprectaed by mid year, and good to switch to megatron core bert model . 

@shanmugamr1992 Addressed the comments. 

Jenkins

Jenkins

Jenkins

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Jenkins

Jenkins

@ericharper Thanks for the comments, addressed them all. 

Jenkins
Alit/bert embedding
State: closed | Pull request: yes
Labels: name: core

name: TTS

name: ASR

name: NLP

name: CI

name: common

name: Multi Modal

# What does this PR do ?

Add a one line overview of what this PR aims to accomplish.

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