renwei2024/nemo-github-issues huggingface dataset:
Getiing an error called  ModuleNotFoundError: No module named 'packaging'
State: closed | Pull request: no
Labels: name: bug

name: stale


When I am importing from nemo.collections import nlp as nemo_nlp
I was  getting an error as module not found of apex.So I tryed installing apex using the below given commands
git clone https://github.com/NVIDIA/apex
cd apex
pip install -v --disable-pip-version-check --no-cache-dir \
--global-option="--cpp_ext" --global-option="--cuda_ext" ./

When executing this command I was getting an error called 

ModuleNotFoundError: No module named 'packaging'
  error: subprocess-exited-with-error
  
  × Getting requirements to build wheel did not run successfully.
  │ exit code: 1
  ╰─> See above for output.
  
  etting requirements to build wheel ... error
error: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.


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.

@roshanjoebenny could you raise this issue on https://github.com/NVIDIA/apex 

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bugfix in label mask
State: closed | Pull request: yes
Labels: name: Multi Modal

# 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 
```

# Jenkins 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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- [ ] 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
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## Who can review?

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# Additional Information
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Enable using hybrid asr models in CTC Segmentation tool
State: closed | Pull request: yes
Labels: name: stale

# What does this PR do ?

Currently, NeMo CTC Segmentation tool throws errors if you try to use a hybrid model (as mentioned in this issue https://github.com/NVIDIA/NeMo/issues/8750). This PR fixes that.

cc @ekmb 

**Collection**: tools/ctc_segmentation

# Changelog 
- allows for `vocabulary = asr_model.tokenizer.vocab` and `vocabulary = asr_model.cfg.decoder.vocabulary`
- checks if model.transcribe returns a tuple of hypotheses
- also various checks for model instance (since we can only use pure CTC or CTC from a hybrid model)

# 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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- [ ] 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
- [x] Bugfix
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fix for lora adapters when SP is enabled
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

fix for lora adapters when SP is enabled

**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 
```

# Jenkins CI
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- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
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remove in-place addition for dreambooth train with text encoder
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 
```

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  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation

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Huiyingl/openclip 1
State: closed | Pull request: yes
Labels: name: stale

name: NLP

name: Multi Modal

# 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 
```

# Jenkins CI
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# Before your PR is "Ready for review"
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**PR Type**:
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Akoumparouli/peft fix
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?
Bug fix:
Recent pytorch-lightning versions overwrite the .precision field of cfg to None. As a result, it must be saved and restored by the callee. I moved this in the megatron trainer builder to avoid having to do this manually. 

The peft eval script was not saving/restoring the .precision field and was using the None value, thus all evaluations happening in FP32.


**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 
```

# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.

# Before your PR is "Ready for review"
**Pre checks**:
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**PR Type**:
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- [ ] Bugfix
- [ ] Documentation

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@cuichenx  PTAL

It's helpful for reviewers if you can update the PR description with what the PR is accomplishing.
Fix `local_rank` when obtained from the `LOCAL_RANK` env variable
State: closed | Pull request: yes
Labels: name: stale

name: NLP

name: Multi Modal

# What does this PR do ?

Fix `local_rank` when obtained from the `LOCAL_RANK` env variable (it was a `str` instead of an `int`)

**Collection**: nlp / multimodal / vision

# Changelog 
- Fix `local_rank` when obtained from the `LOCAL_RANK` env variable in several conversion scripts to .nemo

# 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)
  - [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation


## 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.


jenkins

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Readme upgrade (experimental installation on windows)
State: closed | Pull request: yes

# 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]
All
# Changelog 
- Add specific line by line info of high level changes in this PR.
Pipeline for installation on pure windows
# Usage
* You can potentially add a usage example below

```python
# Add a code snippet demonstrating how to use this 
```

# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.

# 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?

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# Additional Information
* Related to # (issue)
Fix `model_name` check for only tokenizer libraries which need `model_name`
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

For the function `get_nmt_tokenizer`, the user may use libraries which do not require `model_name` (e.g. `sentencepiece`, which is the default library), thus would not pass in `model_name` to the function. 

The current implementation throws a `ValueError` for such cases.

This PR fixes the `model_name` check for only libraries which need them.


# Usage
From step 4, option 2 in this nvidia [tutorial](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/gpt/gpt_training.html)

```
python <NeMo_ROOT_FOLDER>/scripts/nlp_language_modeling/preprocess_data_for_megatron.py \
--input=train_data.jsonl \
--json-keys=text \
--tokenizer-library=sentencepiece \
--tokenizer-model=spm_32k_wiki.model \
--output-prefix=gpt_training_data \
--append-eod \
--workers=32
```

# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.

# Before your PR is "Ready for review"
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**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation

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## Who can review?
@MaximumEntropy, @ericharper 
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ImportError: Apex was not found. Please see the NeMo README for installation instructions: https://github.com/NVIDIA/NeMo#megatron-gpt.
State: closed | Pull request: no
Labels: name: bug

name: stale

When running the below code segment
```
from nemo.collections.nlp.parts.megatron_trainer_builder import MegatronLMPPTrainerBuilder
from nemo.utils.exp_manager import exp_manager

trainer = MegatronLMPPTrainerBuilder(cfg).create_trainer()
exp_manager(trainer, cfg.exp_manager)
```
I am getting the error
```
ImportError: Apex was not found. Please see the NeMo README for installation instructions: https://github.com/NVIDIA/NeMo#megatron-gpt.
```
So as per the official documentation when I try to install Apex,
```
git clone https://github.com/NVIDIA/apex.git
cd apex
git checkout b496d85fb88a801d8e680872a12822de310951fd
pip install -v --no-build-isolation --disable-pip-version-check --no-cache-dir --config-settings "--build-option=--cpp_ext --cuda_ext --fast_layer_norm --distributed_adam --deprecated_fused_adam" ./
```
this installation raises the given error
```

Usage:
  pip install [options] <requirement specifier> [package-index-options] ...
  pip install [options] -r <requirements file> [package-index-options] ...
  pip install [options] [-e] <vcs project url> ...
  pip install [options] [-e] <local project path> ...
  pip install [options] <archive url/path> ...
no such option: --config-settings
```
![Screenshot from 2024-04-04 10-51-03](https://github.com/NVIDIA/NeMo/assets/41164884/3b5722df-c1e1-499d-ae04-56a11eb163eb)


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.

same issue
Enable activation recomputation at SFT
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Support activation recomputation for SFT.

# Changelog 
-  Remove disabling recomputation setting reset at SFT/train.

# Usage
N/A

# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.

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- [ ] Did you write any new necessary tests?
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- [ ] 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

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jenkins
Fix import of get_gpt_layer_ammo_spec
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.

# 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?
- [ ] 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?

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This has been transferred to https://github.com/NVIDIA/NeMo/pull/8868 to avoid being bottlenecked by Jenkins.

Closing as no longer relevant.
Revert lora target module default
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Revert `model.peft.lora_tuning.target_modules` back to `attention_qkv` since some community models does not support lora for all target modules.

**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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- [ ] 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
- [ ] Documentation

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Pipeline Parallel for Gemma
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Fix pipeline parallel for Gemma. When using PP, embedding scaling only applies to the first stage since `embedding` does not exist after the first stage.

**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 
```

# Jenkins 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**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

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jenkins
Revert "add fsdp fix for tp > 1"
State: closed | Pull request: yes
Labels: name: NLP

Reverts NVIDIA/NeMo#8689

The NVIDIA/NeMo#8689 initializes the `PipelineMixedPrecisionPlugin` incorrectly. The `FSDPPrecision.__init__` is not called, and in result the `self._desired_input_dtype` field is not set.

Minimalistic repro:
```bash
 python -c "from nemo.collections.nlp.parts.nlp_overrides import PipelineMixedPrecisionPlugin as PM; PM('16-mixed', 'cuda').tensor_init_context()"
```

The `FSDPPrecision.__init__` is not called, because it doesn't have the `device` argument.

jenkins
Add narrow band augmentation support
State: closed | Pull request: yes
Labels: name: stale

name: common

# What does this PR do ?
Add support for narrowband augmentations in lhotse dataloaders and fix small bug in noise augmentation


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 
```

# Jenkins 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**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

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Remove OpenAI Triton from requirements
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Removes mandatory installation of OpenAI Triton from requirements.txt

**Collection**: nlp

# Changelog 
- Remove triton from requirements.txt
- Remove assertion errors for pinned triton versions

# Usage
* You can potentially add a usage example below

```python
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jenkins
Quantization docs update
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Follow up on quantization docs.

**Collection**: NLP


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* Related to https://github.com/NVIDIA/NeMo/pull/8730


Closing: this will become part of https://github.com/NVIDIA/NeMo/pull/8859.
Update embedding init prototype to match mc
State: closed | Pull request: yes
Labels: name: stale

name: NLP

# What does this PR do ?

Update embedding method interface to match a change in 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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* 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

jenkins

jenkins

jenkins

@layalir can you fix the conflicts here and rebase? 

This has been transferred to https://github.com/NVIDIA/NeMo/pull/8868 to avoid being bottlenecked by Jenkins.

Please close as changes here went in with https://github.com/NVIDIA/NeMo/pull/8755.

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.
Enable per sample val loss reduction with validation_drop_last=False
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?
Enable per sample val loss reduction with validation_drop_last=False.
Fixes seeding for Packed dataset

**Collection**: [Note which collection this PR will affect]
nlp
# 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

jenkins
How much latency does the MARBLENET VAD model have in segment-level speech prediction?
State: closed | Pull request: no
Labels: name: stale


Its a offline model, so latency depends on how long your input would be when inferencing with buffered streaming. 
@fayejf 

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.
Enable per sample val loss reduction with validation_drop_last=False
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

Enable per sample val loss reduction with validation_drop_last=False. 
Fixes setting seed for Packed dataset

**Collection**: [Note which collection this PR will affect]
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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jenkins
Fix MegatronGPTModel validation_step
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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- 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
Porting voicebox
State: closed | Pull request: yes
Labels: name: TTS

name: ASR

# 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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Create dummy dataloader to avoid prefetching the actual data
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

```python
# Add a code snippet demonstrating how to use this 
```

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jenkins

jenkins

Closing since this will go directly to mlperf
Update package info
State: closed | Pull request: yes
Labels: name: CI

# 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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Distributed optimizer reduces GPT embedding grads in FP32
State: closed | Pull request: yes
Labels: name: NLP

# What does this PR do ?

When training Megatron-core GPT with the distributed optimizer, the embedding gradients were reduced in the grad sync dtype (usually BF16). However, we want to reduce in FP32 to improve convergence.

**Collection**: NLP

# Changelog 
- Make sure GPT embedding grads are reduced in FP32.

# Usage

Run GPT, e.g. with the config at https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/language_modeling/conf/megatron_gpt_config.yaml.

Enable mcore with `model.mcore_gpt=True` and the distributed optimizer with `model.optim.name=distributed_fused_adam`.

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# Additional Information
* mcore support was added in https://github.com/NVIDIA/NeMo/pull/7093
* Distopt support for mixed grad dtypes was added in https://github.com/NVIDIA/NeMo/pull/5920

jenkins

jenkins

jenkins

jenkins
Use is_initialized instead of is_unitialized (deprecated) from Mcore.
State: closed | Pull request: yes
Labels: name: core

name: stale

name: NLP

name: CI

name: Multi Modal

parallel_state.is_unitialized is deprecated, switching to parallel_state.is_initialized.

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Add a one line overview of what this PR aims to accomplish.

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# Add a code snippet demonstrating how to use this 
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jenkins

jenkins

jenkins

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.
Add NCCL UB support for AG
State: closed | Pull request: yes
Labels: name: core

# What does this PR do ?

Add an option to use NCCL memory allocator for AG buffer, which helps achieve zero-copy. A similar change has been done in DistOpt in Apex to support NCCL UB for RS. More details can be also found in the [documentation](https://gitlab-master.nvidia.com/dl/pytorch/apex/-/commit/80df9fc505fe0c2c07ffd054161674759c52ee87#351ce33af69db96f30d2878b31136de9b9400210_364_370) in this APEX [commit](https://gitlab-master.nvidia.com/dl/pytorch/apex/-/commit/80df9fc505fe0c2c07ffd054161674759c52ee87)

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jenkins

jenkins

jenkins
map_location was ignored even though it was passed in line 183
State: closed | Pull request: yes
Labels: name: core

name: stale

# What does this PR do ?

Makes sure the `map_location` parameter is used correctly.

**Collection**:  only affects save_restore_connector.py

# Changelog 
- use the function's `map_location` parameter instead of ignoring it 

  
**PR Type**:
- [ ] New Feature
- [X ]"Bugfix"
- [ ] Documentation


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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.