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Installing `nemo_toolkit[nemo_text_processing]` does not bring in `pytorch_lightning` but then
```python
from nemo_text_processing.text_normalization import normalize
```
errors as pytorch_lightning is required to import
**Steps/Code to reproduce bug**
1. on a fresh venv, install `nem... | {
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I am trying to train TitaNet with angular loss. When the optimizer is SGD everything is fine (loss decreases and TopK accuracy increases). Switching optimizer from SGD to Adam or AdamW results zero loss and zero accuracy after some steps. Do you have any clue about zero-loss?
Btw, number of speakers in my case... | {
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It supports overriding arguments of `librosa.effects.trim` when trimming silence. By default, we assign `trim: false` in YAML config. But when enabling it by `trim: true`, you have options to override original arguments of `librosa.effects.trim`, for example,
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```python
import soundfile as sf
from nemo.collections.tts.models import HifiGanModel
from nemo.collections.tts.models import Tacotron2Model
spec_generator = Tacotron2Model.restore... | {
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} | # What does this PR do ?
Adds a script to load Wav2Vec2.0 weights from Fair to NeMo implementation. Also adjusts NeMo implementation to be similar to Fair's.
**Collection**: [ASR]
# Changelog
- Added script to download and load state_dict from Fairseq Wav2Vec models to NeMo equivalents
- Adjusted order of n... | {
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See below, the normalization is incorrect for specific regex cases.
**Steps/Code to reproduce bug**
```python
import nemo; nemo.__version__ # '1.9.0rc0'
from nemo_text_processing.text_normalization.normalize_with_audio import (
NormalizerWithAudio,
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normalizer = NormalizerWit... | {
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The PR adds Catalan ASR models on NGC to the available pretrained models. | {
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} | null | null | null | @PeganovAnton Training on multiple GPUs I'm noticing that `train_loss` is decreasing, and `f1` scores are increasing, but so is `val_loss`. Is `val_loss` the right metric to be monitored? Would mean `f1` score be better suited?
What does `logits_ndim` in https://github.com/NVIDIA/NeMo/blob/fea3775c00adfacfe0a414dea1... | {
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I am facing potentially the following two issue:
First
I am training a non-english language TTS model using Tacotron2. During inference I try to pre-process the input text using the parse() function but I get the error `AttributeError: 'Tacotron2Model' object has no attribute 'parser'`.
Seco... | {
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But , when I see the published MarbleNet paper from Nvidia, looks like first MFCC is extracted from audi... | {
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I am using speaker dilation for finding out number of speaker and time when which speaker has spoken. when i am setting up meta data like following where i am providing num_spearker = num_of_speaker then it is working perfectly and showing correct result.
T1 T2 Speaker_1
T3 T4 Speaker_0 #Correct result
meta... | {
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} | # What does this PR do ?
enables support for fp16 training
Add a one line overview of what this PR aims to accomplish.
enables support for fp16 training by forcing MHSA to float32 or bfloat16 if available.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by l... | {
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} | Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# What does this PR do ?
Enables audio file loading for manifests which use audio_filepath relative to the location of the manifest.
**Collection**: Tools
# Changelog
- Added `absolute_audio_filepath`
- Use `absolute_audio_filepath` instead of `item['audio_f... | {
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} | null | null | null | Hi, I trained a conformer model before. Now I wanna quantize that model and convert it to TRT. But when I run the **speech_to_text_quant_infer_trt.py** an error occur. The error is:
`TypeError: Error instantiating 'nemo.collections.asr.modules.conformer_encoder.ConformerEncoder' : __init__() got an unexpected keywor... | {
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# What does this PR do ?
Adds the ability to configure encoder and decoder asymmetrically for encoder and decoder.
**Collection**: NLP
# Changelog
- Make YAML 1-step hierarchical
- Function in lm_encoder_decoder to maintain backward compa... | {
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# What does this PR do ?
This PR adds a new feature to `audio_to_diar_label.py`.
So far, we have only trained with 2 speaker audio where one of the speakers always exists.
This PR makes dataloader to take 2 speaker subset from more-than-2-speaker audio clips with c... | {
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} | Signed-off-by: Virginia Adams <vadams@nvidia.com>
Separates the gpt prompt learning eval script from the gpt model eval script to simplify inference script files and match t5 prompt learning inference workflow.
**Collection**: NLP
# Changelog
- Adds megatron_gpt_prompt_learning_eval.py script
- Adds prompt... | {
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Fix all the unit tests and CI tests to make RETRO model works with the current transformer model that supports the SP. | {
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} | Signed-off-by: Lily Lee <lilee@nvidia.com>
# What does this PR do ?
Zero Shot Slot Filling Model
**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 h... | {
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Help, Please...
```
import torch
import pytorch_lightning as pl
import nemo.collections.asr as nemo_asr
from ruamel.yaml import YAML
from omegaconf import DictConfig, OmegaConf
from nemo.utils.exp_manager import exp_manager
model_conf_path = '/home/denis/tim/yaml/citrinet_1024.yaml... | {
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} | null | null | null | Hi @nithinraok ,
Please have a look into it.
I am trying to finetune speaker recognition model on open source dataset.
When I set train_manifest_path and dev_manifest_path both as same either train.json or dev.json. Its working fine for me.
When I set train_manifest and dev_manifest as train.jsom and dev.json (... | {
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# What does this PR do ?
Fixes the seed for everything (training/initialization/etc.) during training of nlp machine translation systems to aid reproducibility.
**Collection**: examples/nlp/machine_translation
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# What does this PR do ?
Adds Tokenization and Normalization script
**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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} | # What does this PR do ?
implements prefix tuning for Megatron GPT models.
**Collection**: `examples/nlp/languge_modeling`
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
```
/NeMo/examples/nlp/language_modeling$python megatron_gpt_prefix_tuning.py
```
The prefix... | {
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Fixes `max_steps` calculation bug by setting the number of data loading workers to equal data parallel size.
**Collection**: NeMo Core
# Changelog
- Updated `ModelPT` class
# Usage
N/A same as before
# Before your PR is "Ready for review"
**Pre check... | {
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cartographic -> catastrophic
Instead of: "Because the original model parameters are frozen and never altered by either method, p-tuning/prompt-tuning also avoid cartographic forgetting issues often encountered when fin... | {
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} | Signed-off-by: Iztok Lebar Bajec <ilb@fri.uni-lj.si>
# What does this PR do ?
Fixes #4522. When using tarred datasets and the number of shards is not divisible by `world_size`, nemo logs a warning, but training continues. However, in this case the computation of `DataLoader.len()` becomes incorrect. This leads to... | {
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} | null | null | null | Hi all!
I couldn't find any examples of FastSpeech2 training. The only thing that I've found was the data preprocessing [tutorial](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/tts/datasets.html)
Can anyone tell me if there is a py script such as those for tacotron2 and other models? And, is... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Adds a script to filter a parallel corpus based on min, max and length ratios.
**Collection**: NLP
# Changelog
- Adds a script to filter a parallel corpus based on min, max and length ratios.
# Usage
* You can ... | {
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} | … models
Signed-off-by: subhankar-ghosh <subhankar2321@gmail.com>
# What does this PR do ?
This PR adds links to fastpitch and hifigan multispeaker en models trained on HiFiTTS to list of available models in Fastpitch and HifiGAN classes respectively.
**Collection**: [Note which collection this PR will affe... | {
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} | null | null | null | this one was closed but bug is not fixed and I have no idea where should I add a check for nan.
https://github.com/NVIDIA/NeMo/issues/2246
Basically this issue, I am trying to train conformer-char with rir | {
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after setting up config for ORACLE-VAD DIARIZATION in code when I am trying to compute.
oracle_model.diarize()
it's showing following error:-
RuntimeError: The following operation failed in the TorchScript interpreter.
Tra... | {
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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.
# Us... | {
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} | null | null | null | **Describe the bug**
In NeMo/tutorials/nlp/Megatron_Synthetic_Tabular_Data_Generation.ipynb notebook, when I wanted to run it in Google Colab, the ImportError occurs. And I am not sure what package should I install to resolve this error.
**Steps/Code to reproduce bug**
It occurs in this step: ( I got the main br... | {
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} | # What does this PR do ?
Update megatron prompt learning interface to dialogue
**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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# What does this PR do ?
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[SpeechColab](https://github.com/SpeechColab) is assigning 1 intern student to work on Chinese text normalization(based on Pynini), we'd like to contribute this work to... | {
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After running diarization baselines, I wanted to fine-tune the component models (VAD + embedding) on my own labeled diarization dataset. For the embedding model this has gone well, and for VAD I have been able to set up training using Google Speech R... | {
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I have noticed that in previous nemo versions, e.g. 83444044327d8f0b697bbf0729bd96b7e16e3a56, Tensorboard showed consecutive steps when training was continued from the last checkpoint of an interrupted run; recent versions e.g. 77be76349901d0dd99ad6778509ef5c0663a65c3, as well as 1.10.0 do not; ... | {
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# What does this PR do ?
Add finetune support for NMT
**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
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} | # What does this PR do ?
Enable nsys profiling for any NeMo model from CLI or YAML.
Note this PR was originally: #4531 , authored by @erhoo82
**Collection**: [Core]
# Changelog
- Add setup nsys method to ModelPt
- Add on_train_batch_start/end hooks to enable nsys profiling
# Usage
* Add the followin... | {
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This PR adds RADTTS code to NeMo
**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 code snippet demonstrating how to use this
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1. Inference does not support automatic batch processing according to length, which leads to the OOM of excessively long sentences and makes it difficult to enlarge the beam.
2. And I found that as the inference goes on, the occupation of CUDA memor... | {
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} | # What does this PR do ?
Update megatron interface to dialogue
**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
```
# Before you... | {
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} | null | null | null | **Describe the bug**
I am not getting correct time stamps for speech segment and many speech chunks are removed. I am using pretrained Marblenet and speakerdiarization_speakernet models. It removes lots of speech data in between the chunks as below:
['0.0 0.23 speaker_1', '1.55 1.99 speaker_2', '3.18 4.25 speaker_2... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4533 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4533/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4533/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4533/events | https://github.com/NVIDIA/NeMo/issues/4533 | 1,299,765,514 | I_kwDOC_bI7s5NeNkK | 4,533 | Train Speaker Diarization model | {
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Can you guide me how to train and fine tune the Speaker Diarization model taught in https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Diarization_Inference.ipynb. I was unable to find any documentation on this
Thanks | {
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} | Signed-off-by: Ameya Mahabaleshwarkar <ameyasm1154@gmail.com>
# What does this PR do ?
Integrating support for GPT/T5/BART for Question Answering
**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 ?
The interface to generate nsys profile results.
**Collection**: [Core]
# Changelog
- Enable profile
- Specify range to profile by batch step
- Specify rank to profile
- Specify profiling details
# Usage
Enable knobs to profile
```python
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- Adds weighted bucketing to speaker classification.
**Collection**: [Note which collection this PR will affect]
- ASR
- Copied bucketing logic as used in https://github.com/NVIDIA/NeMo/pull/4474 to `audio_to_label_dataset` for Speaker classification
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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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} | null | null | null | **Describe the bug**
Trying to run `megatron_gpt_pretraining.py`. During the init, the NameError occurs, Traceback below:
```
Traceback (most recent call last):
File "/NeMo/examples/nlp/language_modeling/megatron_gpt_pretraining.py", line 92, in <module>
main()
File "/NeMo/nemo/core/config/hydra_runne... | {
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} | null | null | null | Hi,
I followed this tutorial completely:
https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/nlp/Entity_Linking_Medical.ipynb#scrollTo=gO3t67PnmtL7
Now, I'm following these steps to train model on entire UMLs data:
!conda install python=3.7.13 --y
!pip install Cython
!python -m pip inst... | {
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} | # What does this PR do ?
Adds some sentencepiece args useful for NLP.
**Collection**: NLP
# Changelog
- Adds byte_level fallback, split_digits and split_on_whitespace args for spm.
# Usage
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidel... | {
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} | Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# 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
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} | null | null | null | **Describe the bug**
When training PC from scratch, using the example configs, everything works fine, however if I try to resume an interrupted training from the last checkpoint, I get the following log entry
```
[NeMo W 2022-07-07 21:18:38 nemo_logging:349] /opt/conda/lib/python3.8/site-packages/pytorch_lightning... | {
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} | Signed-off-by: Akshit Arora <akshit.arora@colorado.edu>
# What does this PR do ?
Corrected the directory created to download validation_ds, required for HiFi-GAN fine-tuning.
**Collection**: TTS
# Changelog
From
```
!cd NeMoGermanTTS && mkdir -p model/train_ds && cd model/validation_ds && wget https://... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4520 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4520/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4520/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4520/events | https://github.com/NVIDIA/NeMo/pull/4520 | 1,298,009,710 | PR_kwDOC_bI7s47DbL- | 4,520 | [Fix] Relative Audio Path | {
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} | Fix the too long audio filenames for tarred datasets. If the audio filename is too long, just keep it as it is. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4519 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4519/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4519/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4519/events | https://github.com/NVIDIA/NeMo/pull/4519 | 1,297,913,308 | PR_kwDOC_bI7s47DF3B | 4,519 | r1.10.0 untie embeddings weights | {
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} | # What does this PR do ?
This PR adds the config option to prevent weights tying between encoder embeddings, decoder embeddings, and decoder tokens head.
This PR does not support PP, only TP.
## Added configs
```
model:
share_word_embeddings: True # If True share encoder/decoder embeddings
share_decoder_... | {
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} | Signed-off-by: Paarth Neekhara <paarth.n@gmail.com>
# What does this PR do ?
Fixes a bug where sample rate was being ignored in VocoderDataset when loading just the audio and audio lengths and not the precomputed mel.
**Collection**: tts
# Changelog
- Add specific line by line info of high level changes i... | {
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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
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} | # What does this PR do ?
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In addiction, tests for these rules were added.
**Collection**: [Text Processing]
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**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTIN... | {
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} | null | null | null | hello. I have train a "LSTM-Transducer-BPE" model some days ago. and to save the model, I have used checkpoint. for this train, I have used the default config.
after that, when i want to load this model by `EncDecRNNTBPEModel` method,
i got an error and i could not use this model:
```
RuntimeError: Error(s) in lo... | {
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Followed the steps here : https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Diarization_Inference.ipynb
to run in jupyter notebook and just ran the whole notebook as it is. But got the error `OSError: libtorch_hip.so: cannot open shared object file: No such file or directory` when importing `n... | {
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} | Signed-off-by: nithinraok <nithinrao.koluguri@gmail.com>
# What does this PR do ?
Provides fix for handling silence wav files for diarization
**Collection**: [ASR - Speaker Diarization]
# Changelog
- Added `validate_vad_manifest` function to compare the uniq_ids in vad manifest file to manifest file provi... | {
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} | # What does this PR do ?
Updates signature of Hypothis.alignments such that it now contains a tuple (logprob, label), such that CTC, RNNT greedy and RNNT beam search all yield the logprob tensor of shape (V+1,) where V is the vocab size (and last index is CTC/RNNT Blank). This can be used to compute beam search resu... | {
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} | phoneme IY1 -> IH1 in NVIDIA
Added phonemes for CUSTOMIZABLE
Update the cmudict version and its reference.
# What does this PR do ?
Update phoneme typo and a new phoneme word
**Collection**: [Text to speech]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* Y... | {
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} | # What does this PR do ?
Adds options for fastpitch export. One for ragged_batch and one for volume. Undos the hard assumption that `volume` must be input and output as done in #4167
**Collection**: TTS
# Changelog
- Adds ragged_batch and volume options for fastpitch export
**PR Type**:
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} | This PR aims to add support for different learning rates for different modules in a model. For example, when finetuning an ASR model on small datasets, we might want the encoder to have smaller learning rate than the decoder. With this PR, we can do this by adding a `optim_param_groups` section under `model` in the con... | {
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} | null | null | null | **Describe the bug**
Runtime crashes when running the inference example with T5 pretrained model.
**Steps/Code to reproduce bug**
`python examples/nlp/duplex_text_normalization/duplex_text_normalization_infer.py lang=en mode=tn tagger_pretrained_model=neural_text_normalization_t5 decoder_pretrained_model=neura... | {
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Hi, I am having issues with training wav2vec models. It seems like the model starts training, there are no warnings or errors, everything runs. However, after every epoch val_wer is equal to 1.0. For [wav2vec_pretrain.yaml](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/ssl/wav2vec/w... | {
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} | # What does this PR do ?
Upgraded speaker recognition fine-tune script
**Collection**: [ASR - Speaker Recognition]
# Changelog
- Removed set_up_finetune_model definition in label_models
- Updated speaker_reco_finetune.py script, to resemble PTL training method
- Now, fine-tune can be directly used from con... | {
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} | # What does this PR do ?
At pipeline-parallel training, set the pipeline stage that the current GPU belongs to skip loading inputs
Intermediate stage: do not load any inputs
Fist pipeline stage: load only 'tokens' and 'position_ids'
Last pipeline stage: load only 'labels' and 'loss_mask'
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} | # What does this PR do ?
Post-export runtime check refinements - allow checking multiple input sizes.
Restored max_dim argument functionality in export.py
Also, added a cast to ensure ASR nets are always exported with output in FP32 - even with autocast.
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} | # What does this PR do ?
Adding requirements to make Megatron NMT exportable
**Collection**: [Note which collection this PR will affect]
# Changelog
- Added input/output types for encoder/decoder/tokens_head
- Added input_example
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure yo... | {
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I change config file to run on CPU
![image](https://user-images.git... | {
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I recently loaded the weights of a pre-trained "[XLS-R](https://github.com/facebookresearch/fairseq/tree/main/examples/wav2vec/xlsr)" wav2vec SSL model into the NeMo implementation and found a couple subtle deviations from the fairseq implementation that led to a different computational graph wi... | {
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} | Signed-off-by: Virginia Adams <vadams@nvidia.com>
Makes several improvements to the gpt prompt learning code including:
- faster training time using less memory
- switch `global_batch_size` to refer to actual global batch size and not local mini batch size
**Collection**: BigNLP
# Changelog
- Update GPT p... | {
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} | Fixes Megatron BART dataset missing <EOS> for decoder output.
`BARTDataset` output description:
1. Encoder input: tokens (no `<BOS>` or `<EOS>` added)
2. Decoder input: [`<BOS>`] + tokens
3. Decoder output: tokens + [`<EOS>`]
# What does this PR do ?
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} | # What does this PR do ?
Fuse gradient accumulation ops to the weight gradient computes of linear layers.
This feature should be used with (1) serialized gradient allreduce at this update and (2) O2.
**Collection**: [Note which collection this PR will affect]
# Changelog
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- for the test and validation set, I used train data
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`RuntimeError: Error(s) in loading state_dict for Tacotron2Model:
size mismatch for text_embedding.weight: copying a param with shape torch.Size([69, 512]) from checkpoint, the shape in current model is torch.Size([83, 512]).`
I know that is... | {
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# What does this PR do ?
Fixes GeGLU when not using fusion.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Updates if/else chain when deciding how to use activation functions in transformer.py
# Usage
N/A
... | {
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} | # What does this PR do ?
Adds support for training GPT-3 with the [Apex implementation of the ZeRO optimizer](https://github.com/NVIDIA/apex/blob/master/apex/contrib/optimizers/distributed_fused_adam.py).
**Collection**: NLP
# Changelog
- Add option for `distributed_fused_adam` optimizer and integrate with G... | {
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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
# Add a cod... | {
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My training got interrupted and Im trying to restart training from last checkpoint. However, training starts from the beginning. How do I make it start from last checkpoint? | null | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Fixes decoding for TP>1, PP>1 models
**Collection**: NLP
# Changelog
- Gather from pipeline model parallel ranks only instead of all model parallel ranks.
# Usage
* N/A
# Before your PR is "Ready for review"... | {
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For telephone audios this model performs worse than the pretrained model used for fine-tuning it.
For Other audios its ok
Error seen are quite odd instead of insertion or substitution all the errors deletion. It just doesn't transcribe parts of the audio that pretrain model... | null | {
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} | # What does this PR do ?
Adds the option to disregard document boundaries while constructing a training example for t5, bart, ul2.
This reduces the number of padding tokens in a batch for T5 from ~35% to ~4%.
**Collection**: NLP
# Changelog
- Changes `dataset_utils.py` for T5, BART, UL2 to use `_build_sam... | {
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} | # What does this PR do ?
Add support for auxiliary regularization losses to ASR adapters.
**Collection**: [ASR]
# Changelog
- Add support for access mixin to all adapter modules
- Add utility methods for gathering the loss from auxiliary models
- Add tests for adapter modules
# Usage
```python
# C... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Exact string match fix for finetuning.
**Collection**: NLP
# Changelog
- Exact string match fix for fine-tuning by adding kwargs.
# Usage
* You can potentially add a usage example below
```python
# Add a co... | {
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* implemented a script of generating mel-spectrograms for finetuning Hifigan using multiprocessing.
* fixed some typos.
Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line i... | {
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} | # What does this PR do ?
Fixes an issue when using exact string match with general T5 finetuning
**Collection**: NLP
# Changelog
- Fixes exact string match metric instantiation by adding **kwargs to exact string match.
# Usage
* You can potentially add a usage example below
```python
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Signed-off-by: Yang Zhang <yangzhang@nvidia.com>
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} | # What does this PR do ?
- Adds to ASR bucketing config to add weights to target buckets. To be used for upsampling specific datasets.
**Collection**: [Note which collection this PR will affect]
- ASR
# Changelog
- `collections/asr/data/audio_to_text_dataset.py` `get_tarred_dataset` function now checks if dat... | {
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} | Signed-off-by: Adrian Lancucki <alancucki@users.noreply.github.com>
# What does this PR do ?
Allows to train for more than `max_steps` without lowering lr to `min_lr`.
Noam lr scheduler should decay lr indefinitely. The current implementation puts a hard limit at `max_steps` - the number of intended training e... | {
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} | # What does this PR do ?
This PR fixes dataset parameter typo on tacotron2 example yaml
**Collection**: [TTS]
# Changelog
- Change "train_dataset" to "validation_datasets" on tacotron2.yaml conf example.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contri... | {
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