renwei2024/nemo-github-issues huggingface dataset:
Add mcore full TE transformer layer spec
State: closed | Pull request: yes
Labels: name: NLP

name: CI

# What does this PR do ?

Add spec for model built from te.TransformerLayer 

**Collection**: nlp

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage
Use name of the spec either on config level:
```yaml
[...]
model:
  name: megatron_gpt_full_te_layer_autocast
[...]
```
or from CLI
`model.name=megatron_gpt_full_te_layer_autocast`


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# Additional Information
* To be merged instead of https://github.com/NVIDIA/NeMo/pull/8316/files


jenkins

@jbaczek Could you add the changes in [this NeMo PR](https://github.com/NVIDIA/NeMo/pull/8290/files) to the `AutocastTransformerLayer` here as well? We would need this to comply with the changes to TP knobs in [this TE commit](https://github.com/NVIDIA/TransformerEngine/commit/bdf1afeef0b26455b3b327c77826933abfad5c78).

jenkins

@ericharper Jenskins tests fail because of the [fixed version of mcore](https://github.com/NVIDIA/NeMo/blob/main/Jenkinsfile#L88). What should we do about it?

jenkins

jenkins

jenkins
Attention encoder-decoder models for multiple speech-to-text tasks  …
State: closed | Pull request: yes
Labels: name: core

name: ASR

name: common

# What does this PR do ?

Adds the Attntion Encoder Decoder Multi Task model support into r1.23.0 branch (Canary)

**Collection**: [ASR]

# Changelog 
- Adds Multitasking AED models support

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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation

jenkins
Check for distributed optimizer in PEFT
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Add check for distributed optimizer which is unsupported for PEFT

**Collection**: NLP

# Changelog 
- Add specific line by line info of high level changes in this PR.

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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
- [x] UX improvement

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jenkins
Yttm deprecation
State: closed | Pull request: yes
Labels: name: ASR

name: NLP

name: CI

name: common

# What does this PR do ?

Deprecate YouTokenToMe library which was abandoned.

**Collection**: common, 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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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

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# Additional Information
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Any update on this?

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distributed fused adam + rampup bs support
State: closed | Pull request: yes
Labels: name: cherry-pick

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.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

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jenkins
Rachitg/fp8
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

This PR enables storing the master weights in FP8 with a new model parameter fp8_init_experimental

**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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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 memory leak caused by context parallelism hanging references by omegaconf
State: closed | Pull request: yes
Labels: name: cherry-pick

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.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

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jenkins

LGTM!
add deallocate pipeline output optimization
State: closed | Pull request: yes
Labels: name: cherry-pick

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.

# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

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jenkins
Add mcore spec for full TE TransformerLayer
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.

**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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jenkins

Closing this one in favour of https://github.com/NVIDIA/NeMo/pull/8328
Multimodal r1.23.0 bug fix 
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

Multimodal r1.23.0 bug fix 

**Collection**: [Multimodal, CI]

# 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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Keep max_seqlen and cu_seqlens_argmin for later micro-batches when PP>1
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

Instead of popping `max_seqlen` and `cu_seqlens_argmin` from a batch, we just read the dict to preserve the data for later micro-batches when PP > 1.

```python
# 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.
Cache Aware Streaming tutorial notebook
State: closed | Pull request: yes
Labels: name: cherry-pick

name: ASR

# What does this PR do ?

Adding the notebook that allows us to do real-time streaming using a cache-aware fastconformer model (supports single-lookahead and multi-lookahead models).

**Collection**: `tutorials/asr`

# Changelog 
- Add cache-aware streaming notebook in `tutorials/asr`
- Add call to `self.setup_streaming_params` inside `set_default_att_context_size` method of `ConformerEncoder`.



# Usage

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# Additional Information
* Changes were originally made in https://github.com/NVIDIA/NeMo/pull/8036 but that PR was closed, replaced with this one.
R1.23.0 Multimodal Fixes
State: closed | Pull request: yes

# What does this PR do ?

Fix issues in Multimodal in r1.23.0

# 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
fix wrong paper link in post
State: closed | Pull request: yes

# What does this PR do ?

fix wrong paper link in post
**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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**PR Type**:
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Fix documentation build
State: closed | Pull request: yes
Labels: name: core

# What does this PR do ?

- fix decorated import needed for TorchScript, but not compatible with sphinx-autodoc
- use Python 3.10 due to Python 3.10-style type annotations in different places
- add mocks for imports to fix ASR and NLP collections

**Collection**: [Core, Documentation]

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- 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
Unify HF converter scripts and arguments
State: closed | Pull request: yes
Labels: name: CI

# What does this PR do ?

Unify HF converter scripts and arguments


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jenkins

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jenkins

Looks good, these scripts look much better now. Some minor remarks:
* I often do CTRL+F on some arguments like, for example, `in_file`. For the current style like `parser.add_argument("--in-file", ...)` -- dash vs underscore -- such searches won't work for argument definitions which is sometimes inconvenient.
* For StarCoder I think we have [a standalone config](https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/language_modeling/conf/megatron_starcoder_config.yaml) now so can we change default for `--hparams-file` to that? Maybe @dimapihtar could additionally confirm
* Maybe we can drop size param = `7b` for Mistral conversion files to further unify names? This one comes only in one flavor anyway
* I would pass all arguments to `load_config` explicitely rather than with `args` unless it's really inconvenient / inflexible (but it's up to you)
* In some cases we could use `load_state_dict_helper` or `torch_dtype_from_precision` util functions from nemo/collections/nlp/parts/utils_funcs.py

@janekl  Thanks for the comments.
I changed 1 - dash to underscore
For the rest, I don't have BW to change and verify all atm. We can proceed to ask the original PICs to update them in the following PR.

jenkins
Cannot export NeuralDiarizer (diar_msdd_telephonic.nemo) to onnx
State: closed | Pull request: no
Labels: name: bug

name: stale

**Describe the bug**

```
Traceback (most recent call last):
  File "/Users/urospetrovic/ml_projects/thq-transcription-module/export.py", line 44, in <module>
    main(args.nemo_file, args.onnx_file, model_type=args.model_type)
  File "/Users/urospetrovic/ml_projects/thq-transcription-module/export.py", line 38, in main
    model.export(onnx_file, onnx_opset_version=12)
  File "/Users/urospetrovic/opt/miniconda3/envs/transcription/lib/python3.10/site-packages/nemo/core/classes/exportable.py", line 113, in export
    out, descr, out_example = model._export(
  File "/Users/urospetrovic/opt/miniconda3/envs/transcription/lib/python3.10/site-packages/nemo/core/classes/exportable.py", line 177, in _export
    input_example = self.input_module.input_example()
  File "/Users/urospetrovic/opt/miniconda3/envs/transcription/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'EncDecDiarLabelModel' object has no attribute 'input_module'. Did you mean: 'output_module'?
```


**Steps/Code to reproduce bug**

I have used this codebase ([convasr_to_single_onnx](https://github.com/NVIDIA/NeMo/blob/v1.0.0b3/scripts/convasr_to_single_onnx.py)), extended by the new type 'diarizer' to be able to handle EncDecDiarLabelModel types.



**Expected behavior**
I was able to successfully convert vad_multilingual_marblenet.nemo to onnx file, but it fails for the diar_msdd_telephonic.nemo one.



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this has not been solved i think
Support lhotse 1.20.0 for Canary
State: closed | Pull request: yes
Labels: name: common

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Pin lhotse=1.19.2 in r1.23.0
State: closed | Pull request: yes

# What does this PR do ?

Pin `lhotse==1.19.2` to prevent breaking changes in 1.20.0.

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- Pin lhotse to version 1.19.2

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distributed fused adam + rampup bs support
State: closed | Pull request: yes
Labels: name: NLP

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Replace CLIP Image Encoder with LanguageBind Image Encoder [Video-NeVA]
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

This PR replaces the CLIP image encoder with the LanguageBind Image encoder (derived from BLIP-2) as implemented in Video-LLaVA


**Collection**: [Note which collection this PR will affect]

# Changelog 
- Removes `FrozenCLIPVisionTransfomer` (inherits from `CLIPVisionTransformer`)
- Adds `FrozenLangaugeBindImageEncoder` (inherits from `LanguageBindImageEncoder`)
- Adds `multimodal_encoders/langaugebind/image/image_encoder.py` which implements `LanguageBindImageEncoder` (derived from author's implementation [here](https://github.com/PKU-YuanGroup/LanguageBind))

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Fix memory leak caused by context parallelism hanging references by omegaconf
State: closed | Pull request: yes
Labels: name: NLP

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LGTM. Thanks.

jenkins

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jenkins
Mcore customization doc
State: closed | Pull request: yes
Labels: name: NLP

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Mcore customization doc

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I think something may have happened when rebasing, now some non doc files are changed. Could you rebase on to r1.23.0?

@ericharper I removed the irrelevant changes. Would this work now?
Mirror Bert HF Converter PR to Main branch
State: closed | Pull request: yes
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name: NLP

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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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Cache Aware Streaming tutorial notebook
State: closed | Pull request: yes
Labels: name: ASR

# What does this PR do ?

Adding the notebook that allows us to do real-time streaming using a cache-aware fastconformer model (supports single-lookahead and multi-lookahead models).

**Collection**: `tutorials/asr`

# Changelog 
- Add cache-aware streaming notebook in `tutorials/asr`
- Add call to `self.setup_streaming_params` inside `set_default_att_context_size` method of `ConformerEncoder`.



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jenkins
Make checkpoint more robust
State: closed | Pull request: no
Labels: name: stale

currently when saving a nemo checkpoint it creates a directory and then it will save.

this is not robust because the training job can get preempted in the middle of save, creating a corrupted checkpoint.

Ideally we want nemo to create a temporary file, save to the temporary file and only when done saving should this file be renamed to an actual checkpoint

Hi @gshennvm 
Fix for incomplete checkpoints was recently merged into main [[PR7952](https://github.com/NVIDIA/NeMo/pull/7952)].
Would it be possible for you to verify if that resolves the problem you noticed?

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Update config for AED models
State: closed | Pull request: yes
Labels: name: ASR

# What does this PR do ?

Updated the configs for AED models

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- Config update

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Add dist ckpt support for regular optimizers
State: closed | Pull request: yes
Labels: name: core

name: cherry-pick

name: NLP

# What does this PR do ?

Add dist checkpoint support for regular (non O2 and non-distributed) optimizers.
This change is required to support dist ckpt for FSDP training

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- Add dist checkpoint support for regular (non O2 and non-distributed) optimizers.

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TDT blog: adding leaderboard screenshot
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TDT blog: adding leaderboard screenshot
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Wait the URL is wrong for the image. Please fix it by uploading to latest release - 1.22
Pin lhotse version to 1.19.2
State: closed | Pull request: yes

# What does this PR do ?

Pin lhotse version to 1.19.2. Prevents breaking changes.

**Collection**: All speech collections

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- Pin lhotse version to 1.19.2

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jenkins

Merging as is since its urgent. @pzelasko  lets pin r1.23 as well asap (send me PR)
Add TP comm overlap knobs to AutocastTransformerLayer
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Adds TP comm overlap knobs to `AutocastTransformerLayer`. Requires https://github.com/NVIDIA/TransformerEngine/pull/649.

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jenkins

@ericharper Can we merge this in?