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TabularTokenizer and ColumnCode api needs QOL improvements. It currently does not support partial row generation because of [this](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/common/tokenizers/tabular_tokenizer.py#L132) and [this](https://github.com/NVIDIA... | {
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Automatically sets O2=False when running inference with fp16.
**Collection**: [Note which collection this PR will affect]
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# Usage
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Updating the num_workers from 0 to the one mentioned in the config
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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A highly optimized implementation for RNN-T greedy batched decoding with GPUs.
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ASR
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tb logging leads to error
Add a one line overview of what this PR aims to accomplish.
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} | # What does this PR do ?
Removing casts around norms from the set of default pre-export replacements and moving them to a separate function.
Latest TRT should not need that anymore - also the casts may prevent some fusion.
That function may still be used from Nemo2Riva explicitly should it be needed on case-by-cas... | {
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} | # What does this PR do ?
Fix typos
**Collection**: [ASR]
# 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 a... | {
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When training FastPitch on more than 1 GPU the following error occurs:
`AttributeError: Can't pickle local object 'FilterbankFeatures.__init__.<locals>.<lambda>'`
docker run command:
```
python fastpitch.py --config-name=fastpitch_align_v1.05.yaml train_dataset=/path/to/manifest.json validat... | {
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} | # What does this PR do ?
Correct a few typographic errors and make a few cosmetic suggestions to markup.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Corrected typographical errors in some of the NLP documentation.
# Usage
Not applicable.
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when i try to install beam search decoders and kenlm to build a language model for asr i face this error:
`
(asr) root@DESKTOP-GD87QE2:/home/azad/decoders# ./setup.sh
Install decoders ...
scorer.h:22: Warning 401: Nothing known about base class 'lm::EnumerateVocab'. Ignored.
running install
/root/anaconda3... | {
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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
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} | # What does this PR do ?
forward_torch_softmax gives error difference in apex only when mask is set.
default to normal behavior when mask is None
**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
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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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This bug occurs on a specific dataset where the data loading process mistakenly checks for `<` instead of `<=` in an assert statement, causing the "last epoch number of samples exceeded max value" error message to be falsely displayed.
**Steps/Code to reproduce bug**
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} | # What does this PR do ?
forward_torch_softmax gives error difference in apex only when mask is set.
default to normal behavior when mask is None
**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
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} | # What does this PR do ?
Update the energy prediction logic in FastPitch to match the new conditioning logic, similar to pitch. Current code throws a syntax error because `prosody_input `is no longer defined.
**Collection**: [TTS]
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
Add support for using dynamic length batches for GPT SFT
Significantly improves perf
~2 it/s to ~4 it/s on a local Quadro RTX 6000 GPUs with the same test as on CI
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | # What does this PR do ?
The existing TTS workflow requires the user to provide speaker as an integer index in the training manifest. This is awkward because
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} | # What does this PR do ?
This script is similar to `compute_speaker_stats.py` but uses the new experimental featurizer class for saving and loading the features. We can consider deprecating `compute_speaker_stats.py` in the future if we end up deprecating existing TTS data loader and `extract_sup_data.py`.
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} | # What does this PR do ?
Add an interface and initial implementations to process features at training time, as part of TTS data loading refactoring.
The intention is for the data loader to load and merge feature dictionaries (produced by tts.parts.preprocessing.feature.py) and to use these processors to apply on ... | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
Provide a code snippet on how new APIs/changes would ... | {
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} | # What does this PR do?
Current impulse response (IR) in `ImpulsePerturbation` is not correct.
This PR fixes the issue.
Check below for
1. Audio examples
2. IR examples
3. Scripts to reproduce the issue
**Collection**: ASR
# Changelog
- Fixed normalization to correctly normalize mean and max
- Added ... | {
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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
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The notebook in https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Offline_ASR.ipynb cannot be visualized as it says "The Notebook Does Not Appear to Be Valid JSON"
**Steps/Code to reproduce bug**
Open https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Offline_ASR.ipynb
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} | When using tar dataset this error appears due to undefined reference:
datastore_path_to_webdataset_url(p) if is_datastore_path(p) and is_tarred_path(p) else p NameError: name 'is_tarred_path' is not defined
# What does this PR do ?
fixes error mentioned above
Add a one line overview of what this PR aims to ac... | {
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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
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} | …stamps generators
# What does this PR do ?
The argument of `_get_batch_preds` in `FrameBatchASRLogits` class has not been updated when `FrameBatchASR` is updated.
Now, this PR force `_get_batch_preds()` to keep logits in decoder timestamps generators.
This is for r1.18.0 of PR #6499.
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} | # What does this PR do ?
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Now, this PR force `_get_batch_preds()` to keep logits in decoder timestamps generators.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog... | {
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} | # What does this PR do ?
Add support for virtual pipeline parallelism conversion of Megatron GPT models
**Collection**: [NLP]
# Changelog
-
# Usage
```python
python megatron_change_num_partitions.py \
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How to create pickle files, which include out, output_sizes, conv, rnn_0, rnn_1, rnn_2, rnn_3, rnn_4 layers using the STT De Conformer-Transducer Large for an german audio files samples?
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**Collection**: [ASR]
# Changelog
- Add disclaimer to all ASR tutorials regarding dataset usage.
# 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)
- [ ] Di... | {
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**Collection**: [Doc]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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**Collection**: [Doc]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
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} | # What does this PR do ?
This PR adds a quickstart tutorial for training a simple speech enhancement model with NeMo.
**Collection**: ASR, Tutorials
# Changelog
- added a simple tutorial for speech enhancement
- moved examples from `asr` to `audio_tasks`
- added an option to save noise in `add_noise.py`
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Fix BigNLP mT5 pre-training mp bug
**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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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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Update README to add core installation
**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.
# Usage
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Update README to add core installation
**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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when i declare some states with pynini.string_map it cant find the shortest pass of its inverse for no reason
**Steps/Code to reproduce bug**
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import pynini
from pynini.lib import pynutil
def apply_fst(text, fst):
""" Given a string input, returns the output string
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I'm following the tutorial to finetune the Fastpitch and hifigan models through the NeMo 23.02 container. After updating paths, following the tutorial and fine tuning both models, I couldn't make inferences from the models or export nemo models to riva.
**Steps/Code to reproduce bug**
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} | # What does this PR do ?
Add more detail to SDP section in NeMo docs, and add link to that page in the NeMo README.rst.
**Collection**: docs
# Changelog
- update SDP section in NeMo docs
- update NeMo README
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
Fixes some bugs to support Hybrid and FastConformer variants of cache-aware streaming models.
# Changelog
- Fixed a bug which prevented switching between decoders for Hybrid models
- Added support of Hybrid models to the cache-aware streaming inference scripts
- Added the feature to s... | {
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} | This PR adds support in external sample mapping (to be able to compute on the fly).
# What does this PR do ?
The added support does not add any new functionality, but allows providing the sample mapping externally to be able to avoid loading dataset samples.
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} | # What does this PR do ?
Set garbage collection interval manually. This helps align garbage collection execution across GPUs, which mitigates CPU overhead dramatically.
Using an integer value for `gc_interval` set the garbage collection interval in global-batch steps.
# Before your PR is "Ready for review"
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**Collection**: nlp megatron
# Changelog
- Added implementation of KERPLE
- Added Jenkins test
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**Collection**: ASR
# Changelog
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# Changelog
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When training MSDD model for speaker diarization on multiple GPU units, an error is thrown in the manifest generation step.
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Adding the conv_pointwise_type parameter that to ConformerEncoder enabling the use of nn.Linear() for a 10% acceleration
**Collection**: ASR
# Changelog
Adding the conv_pointwise_type parameter to
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Move core lib to NVIDIA/Megatron-LM from custom fork
**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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Reduce data workers on NMT CI for speedup
**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
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# Add a code snippet demonstrating how to use this
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Reduce data workers on NMT CI for speedup
**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
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the code I run with:
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} | # What does this PR do ?
Set garbage collection interval manually. This helps align garbage collection execution across GPUs, which mitigates CPU overhead dramatically.
Using an integer value for `gc_interval` set the garbage collection interval in global-batch steps.
# Before your PR is "Ready for review"
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**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
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} | # What does this PR do ?
Added some new configurations and updated some of the older configuration files for Conformer models.
# Changelog
- Added configs for cache-aware fastconformer and hybrid ASR.
- Added more info on batch size and precision suggestions in the configs.
**PR Type**:
- [X] New Feature
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Fixes some bugs to support Hybrid and FastConformer variants of cache-aware streaming models.
# Changelog
- Fixed a bug which prevented switching between decoders for Hybrid models
- Added support of Hybrid models to the cache-aware streaming inference scripts
- Added the feature to s... | {
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Move core lib to NVIDIA/Megatron-LM from custom fork
**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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This PR adds Frame-VAD to ASR+VAD pipeline, and also adds the drop-frame mode to ASR+VAD, which previously only supports maskin... | {
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The second PR of Frame-VAD. Please merge the first PR first: https://github.com/NVIDIA/NeMo/pull/6441
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# Changelog
- Add specific line by line info of high level changes in this PR.
# Before your PR is "Ready for review"
**Pre checks**:
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This PR fixes a bug where `MegatronLMEncoderDecoderModel.validation_epoch_end` might get empty outputs.
**Collection**: nlp
# Changelog
- nemo/collections/nlp/models/language_modeling/megatron_lm_encoder_decoder_model.py:validation_epoch_end
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This PR fixes a bug where `MegatronLMEncoderDecoderModel.validation_epoch_end` might get empty outputs.
**Collection**: nlp
# Changelog
- nemo/collections/nlp/models/language_modeling/megatron_lm_encoder_decoder_model.py:validation_epoch_end
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} | # What does this PR do ?
Adds export functionality for GPT model trained with FP8 enabled
**Collection**: [NLP]
# Changelog
- Add export script
- Add export config
- Update export_utils to enable support for this model
- Bugfix: Typecast precision check for 16 and 32
# Usage
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Following the example from here: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/gpt/gpt_training.html
I downloaded and processed the data to run GPT pretraining. But I encountered the following error.
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It fixes an invalid link in get_data.py of ljspeech. Usage of the link in line 63 leads to downloading a html file not a tsv file, so we need to change it to a raw link.
**Collection**: [TTS]
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Uses spawn for mp for BERT pre-training
**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
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# Add a code snippet demonstrating how to use this
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# 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
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} | # What does this PR do ?
Cache inputs (attention mask, loss mask, and position ids) and reuse.
This mitigates CPU-side overhead.
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | # What does this PR do ?
Add support for swiglu in weight conversion script
**Collection**: [NLP]
# Changelog
- Update TP PP weight conversion logic with swiglu config
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
minor fix for replace_bos_with_pad not found error in CI
**Collection**: [Note which collection this PR will affect]
# Changelog
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Add a one line overview of what this PR aims to accomplish.
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# Changelog
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# Usage
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minor fix for replace_bos_with_pad not found error in CI
**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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**Collection**: NLP
# Changelog
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# Usage
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} | # What does this PR do ?
Add model and dataset files for frame-VAD, as well as related tests.
Future PRs:
- Add Frame-VAD examples: train/infer, configs
- Update ASR+VAD pipeline to support Frame-VAD
- Add tutorials and update docs
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre chec... | {
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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
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Now according to the tutorials in your repository, first of all we should train the tokenizer. I want to train spe bpe.
I made manifest files like the manifest exists in tutorial and run the code like you said.
... | {
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} | # What does this PR do ?
Add config and char tokenizer for russian tts. It contains russian alphabet + ipa alphabet. Each unicode character is regarded as separate token, including stress.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level c... | {
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} | # What does this PR do ?
Add support for swiglu in weight conversion script
**Collection**: [NLP]
# Changelog
- Update TP PP weight conversion logic with swiglu config
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com... | {
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} | # What does this PR do ?
Fix a mistake in line 782. FFT calculates the magnitude and phase of each frequency bin not frequency band. Moreover, frequency bins in FFT are not related to pitch. So, we should change _**band (ie. pitch)**_ to _**bin**_.
**Collection**: [TTS]
# Changelog
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} | # What does this PR do ?
Fix FastPitch training appear `nan` loss in aligner loss when precision=32.
**Collection**: [TTS]
# Changelog
- `nemo/collections/tts/losses/aligner_loss`
# Usage
* To reproduce the bug, we can run `FastPitch and Mixer-TTS Training` tutorial by adding `trainer.precision=32` in ... | {
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`#!/bin/sh
CUDA_VISIBLE_DEVICES=3 python extract_speaker_embeddings.py --manifest=voxceleb1_test_manifest.json --model_path='./speakerverification_en_titanet_large/model' --embedding_dir='./speakerverification_en_titanet_large/embedding'
CUDA_VISIBLE_DEVICES=3 python voxceleb_... | {
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} | # What does this PR do ?
This PR upgrades NeMo to use lightning 2.0. Majority of the changes are done based on the migration guide provided by lightning: [https://lightning.ai/docs/pytorch/stable/upgrade/from_1_9.html](url)
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specifi... | {
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} | # What does this PR do ?
Add two tutorials for FastPitch TTS speaker adaptation with adapters.
One is FastPitch multi-speaker pretraining, the other is FastPitch adapter finetuning.
**Collection**: [TTS]
# Changelog
- `tutorials/tts/FastPitch_MultiSpeaker_Pretraining.ipynb`
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} | # 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
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} | null | null | null | As this is my first issue, I MUST thank anyone contributing to this great repository, so I do :).
Without any context, [this](https://github.com/NVIDIA/NeMo/blob/50f16ba4f445e312b38b75a93881b9db2a10791c/nemo/collections/asr/parts/preprocessing/perturb.py#L377) normalization line seems wrong (first `min` should be `n... | {
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} | # What does this PR do ?
To enable PeFT training via adapter mixins, we should ensure all_reduce is not called on params' grads when the param.requires_grad is False. This does not happen for normal (full fine-tuning) but will happen for PeFT.
**Collection**: [Note which collection this PR will affect]
# Chang... | {
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