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} | # What does this PR do ?
Related to [bug report](https://nvbugswb.nvidia.com/NvBugs5/SWBug.aspx?bugid=4312419&cmtNo=),
Chinese normalizer outputted wrong normalized text for the input, '双辽境内除东辽河、西辽河等**5**条河流', where we expect '双辽境内除东辽河、西辽河等**五**条河流'.
**Evidence**
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} | # What does this PR do ?
Fix issue where peft weights are not loaded for distributed checkpoints
**Collection**: NLP
# Changelog
- Load peft weights in restore_from instead of _load_state_dict_from_disk if distributed checkpoint is used
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I am trying to finetune hifigan with spectrograms created with a previously finetuned FastPitch, following the tutorials: FastPitch_Finetuning.ipynb and FastPitch_GermanTTS_Training.ipynb. Finetuning Fastpitch went well, however when I try to finetune hifigan on the same data is always raises this... | {
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Fixes a bug in LLaMa2 70b LoRA tuning. There was a modification to specifically deal with LLaMa2 70b (which uses GQA) in the old API that was not propagated during the refactor.
**Collection**: NLP
# Changelog
- Modified LoraPEFTConfig to exactly follow the logic in the old MegatronG... | {
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} | # What does this PR do ?
fixed trainer.devices and trainer.accelerator.
**Collection**: [Note which collection this PR will affect]
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# Usage
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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"I answered a call" is a neutral phrase, what score does the engine understand that this phrase is neutral rather than positive or negative?
Is it possibl... | {
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Fixes an issue with mutable defaults inside dataclasses across NeMo configs
Fixes #7166
**Collection**: [Core, ASR, NLP, TTS, Tools]
# Changelog
- Guard mecab and ipadic
- Remove dependence on mecab and ipadic from sacrebleu
- Fix dataclasses across domains and tools
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Updating metadata and docs. Changing buttons on home page.
**Collection**: NeMo github io website
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- update date of the Numba post
- update the OpenGraph metadata of the NFA, alignment and Numba blog posts
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Add logging of loss by adding to validation_outputs (self.log) for ssl_models
**Collection**: ASR
# Changelog
- Add to self.log by setting to validation_step_outputs
# Before your PR is "Ready for review"
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} | # What does this PR do ?
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This PR fixes a bug in SE tutorial caused by initialization of metrics for audio-to-audio models.
**Collection**: ASR, Tutorials
# Changelog
- Updated metric initialization
- Small fixes in the tutorial notebook
# Before your PR is "Ready for review"
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Add logging of loss by adding to validation_outputs (self.log) for ssl_models
**Collection**: ASR
# Changelog
- Add to self.log by setting to validation_step_outputs
# Before your PR is "Ready for review"
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Append output of val step to `self.validation_step_outputs` in `ThutmoseTaggerModel` and `T5G2PModel` as required by lightning 2.0. Also removes `outputs` arg from `on_validation_epoch_end` and `on_test_epoch_end` in `ThutmoseTaggerModel`
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Add a one line overview of what this PR aims to accomplish.
**Collection**: NeMo's Github io webpage
# Changelog
- Move from using mkdocs-material nav functionality to built-in blog plug-in for hosting blog posts
- Move 'posts' and 'technical blog' into the same place.
# Usage
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This PR fixes a bug in SE tutorial caused by initialization of metrics for audio-to-audio models.
**Collection**: ASR, Tutorials
# Changelog
- Updated metric initialization
- Small fixes in the tutorial notebook
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No
**Describe the solution you'd like**
A way to export to models like ECAPA-TDNN to an mlmodel/mlpackage so we can add it easily to our iOS applications
Provide a code snippet on how new APIs/changes would be used by others.
**Describe alter... | {
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Recently facing too many warning message during model training like `NOTE! Installing ujson may make loading annotations faster.`. Went over a little on `ujson` vs `json`, it seems a worth to switch mostly because `ujson` is faster,
ref: https://... | {
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Also, the loss broadcasting only within the pipeline parallel domain.
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# What does this PR do ?
Fix a simple bug in a example, config.trainer.strategy = auto changed to config.trainer.strategy = 'auto'
that was interrupting the execution of the code
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Change strategy from ddp to auto because of PL 2.0
**Collection**: [Note which collection this PR will affect]
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Fix typos
**Collection**: tutorials
# Changelog
- Fix typos in NFA and Speech Enhancement tutorials
# Usage
N/A
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Fixes an issue with mutable defaults inside dataclasses across NeMo configs
Fixes #7166
**Collection**: [Core, ASR, NLP, TTS, Tools]
# Changelog
- Guard mecab and ipadic
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- Fix dataclasses across domains and tools
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Fix typos
**Collection**: tutorials
# Changelog
- Fix typos in NFA and Speech Enhancement tutorials
# Usage
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | Broadcast train and validation loss only when pipeline parallel size is larger than 1.
Also, the loss broadcasting only within the pipeline parallel domain.
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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strategy should be replaced as `ddp_find_unused_parameters_true`.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Correctly handle initialization of validation_step_outputs and test_step_outputs (to log metrics) when multiple dataloaders are set after initialization of model.
**Collection**:
Core
# Changelog
In modelPT.py -
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@property
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**Collection**: nlp
# Changelog
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strategy should be replaced as `ddp_find_unused_parameters_true`.
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Passes layernorm_zero_centered_gamma param properly which fixes layernorm1p issue.
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This is a WAR for the case of saving a checkpoint twice into the same directory.
A proper fix would be avoiding calling the `save_checkpoint` method altogether.
**Collection**: [Note which collection this PR will affect]
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- Avoid duplicated dist checkpoint save
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Fix the image loaded when the post is created
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Appends val/test output to self.validation/test_step_outputs in `evaluation_step` method of `EncDecSpeakerLabelModel` and `EncMaskDecAudioToAudioModel`
Add a one line overview of what this PR aims to accomplish.
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This PR adds explanation for the bug fix (actual fix in #7308)
If user specifies at least one validation metric in the config that is not loss, the average_metric should be calculated and logged so that the CheckpointMonitor does not through an error.
**Collection**: [Note which collecti... | {
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} | # What does this PR do ?
**Change 1**
In jupyter notebook, when trying to run,
```
## Install NeMo
BRANCH = 'r1.21.0'
!python -m pip install "git+https://github.com/NVIDIA/NeMo.git@${BRANCH}#egg=nemo_toolkit[all]"
```
It will get below errors due to `${BRANCH}`. Removing the curly braces fixes the error.
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Add fp32 rope pos idx
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
`+model.enforce_fp32_pos_idx=true` to enable using fp32 rope pos index. By default we set this param to `True`.... | {
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I have run multiscale clustering diarization on some short audios (30s-60s) with either 1 or 2 speakers. They have a little noise in the background/music, but I wouldn't say it's a big SNR. However, each time the diarizer detects 8-10 speakers on these audios.
Unfortunately, I am not able to share the rec... | {
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This is a WAR for the case of saving a checkpoint twice into the same directory.
A proper fix would be avoiding calling the `save_checkpoint` method altogether.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Avoid duplicated dist checkpoint save
# Usage... | {
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} | # What does this PR do ?
**Change 1**
In jupyter notebook, when trying to run,
```
## Install NeMo
BRANCH = 'r1.21.0'
!python -m pip install "git+https://github.com/NVIDIA/NeMo.git@${BRANCH}#egg=nemo_toolkit[all]"
```
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**Collection**: [ASR]
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Fixes an issue with Torchaudio trying to load latest versions of ffmpeg (7+)
**Collection**: [ASR]
# Before your PR is "Ready for review"
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**Collection**: NLP
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# Usage
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
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**Collection**: [Note which collection this PR will affect]
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# Usage
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Add SFT test for StarCoder MCore checkpoint.
**Collection**: NLP
# Changelog
- Editing Jenkinsfile
# Usage
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# Before your PR is "Ready for review"
**Pre checks**:
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I'm trying to processe text normalization for HUI German Dataset but i get error like below. Does anyone have idea to resolve this issue?
**Steps/Code to reproduce bug**
```
(nemo) ubuntu@HP:/mnt/e/tools/nemo$ python /mnt/e/tools/NeMo/get_data.py --data-root /mnt/f/hui_acg --manifests-roo... | {
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Following the installation guide in README installs the latest transformers version. However the starter code provided here https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/neural_text_normalization_t5 fails to work with an error
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