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} | # Add support for prepending data prefix to manifests paths and `audio_paths`
This feature is to add support for automatically adding prefix to manifest paths as well as the `audio_filepath` field in the manifest. The simple trick is by adding a `data_prefix` in the top level of your yaml config file. The program ha... | {
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} | # What does this PR do ?
When tarred dataset is created temporary files for text and labels are used. Previously if several scripts were run simultaneously there were risk of race condition because temporary files had hardcoded names.
**Collection**: nlp
# Changelog
- `tempfile.mksfile()` lib is used
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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 concis... | {
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} | # What does this PR do ?
Changes a wrong description in offline_diarization_with_asr.yaml
**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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} | # What does this PR do ?
This PR fixes bugs for certain cases and adds few functions. Previously, write_rttm2manifest function had following issues:
(1) Offset is not considered
(2) Occasionally, the function was returning the segments outside the given (offset, offset+duration) range.
The newly written part ... | {
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} | # What does this PR do ?
1. Adds megatron memory-mapped dataloaders to NMT.
2. Inference script/config with a translate() method.
**Collection**: NLP
# Changelog
- Add a new dataset class for megatron memmap dataset.
- Add an inference script with the associated yaml config.
- Change the `use_tarred_datas... | {
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} | Signed-off-by: ekmb <ebakhturina@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
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} | # Fix a typo in output message
Location: Line 42 at `nemo.collections.asr.data.audio_to_text_dataset.inject_dataloader_value_from_model_config` | {
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} | null | null | null | Hi, thanks for your great tutorial.
I fine-tuned Citrinet 1024 using a Persian audio data set. The WER starts from 4, and the loss value is about 500. But I did the same with Citrinet 256, the WER starts from 0.99 and after each epoch decreases. Why in Citrinet 1024 I faced a large value for WER?
**Environment ove... | {
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} | null | null | null | Hi, would you please share with me a collab notebook file for fine-tuning conformer_ctc_bpe? I want to use it for the Persian language. when I use the` ASR_CTC_Language_Finetuning.ipynb` notebook I got the desired result with all Citrinet models, but I can not use this notebook file for any of the CTC Conformer models.... | {
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} | # What does this PR do ?
unifying to extract mel spectrogram using `nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor`.
**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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} | # What does this PR do ?
Improve multiprocessing speed by reading audio file only once, and also remove type_check decorator for forward_to_export function in label_models.py
**Collection**: ASR
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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Adds the ability to
1. Randomly sample audio segments of specified length from input during run-time
2. Fraction based mask count specification in MaskedPatchAugmentation
3. Enable flac file support
**Collection**: ASR
# Changelog
- Updated `MaskedPatchAugmentation` in `audio_prep... | {
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bug fix for paths that contain "." in basename | {
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Fixes a bug where doing implicit grad acc on your validation data would not check on GLUE/XNLI dataset building. This would only happen in generic finetuning.
**Collection**: NLP
# Changelog
- Add implicit gradacc checks in MegatronT5GLUEModel
# Usage
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Adds the ability to
1. Specify the validation metric you want to use while fine-tuning GLUE/XNLI or custom datasets
2. Write model predictions on the validation and test sets to a file even with data parallel > 0.
**Collection**: NLP
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Signed-off-by: Alexandra Antonova <aleksandraa@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
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} | # What does this PR do ?
Adds significant functionality to adapters, allowing multiple module-specific adapters, save and restore of just the adapters themselves rather than the full model (saving several hundred megabytes-to-gigabytes), and a suite of tests for the new functionality.
**Collection**: [Core, ASR]
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Add spec augmentation to label models
**Collection**: ASR
# Changelog
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**PR Type**:
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Add unit test to dialogue tasks and some refactor to facilitate unit test
**Collection**: NLP
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} | # What does this PR do ?
Add tutorial for Thutmose Tagger
**Collection**: [Note which collection this PR will affect]
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# 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]
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} | # What does this PR do ?
Added WFST graph to handle punctuation after verbalization step, parallel normalization, bug fixes
**Collection**: [TN]
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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]
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- Add specific line by line info of high level changes in this PR.
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```python3
File "scripts/export.py", line 160, in nemo_export
raise e
File "scripts/export.py", line 139, in nemo_export
output_example = forward_method(model)(*input_list, **input_dict)
File "/data/nemo_main/nemo/collections/tts/models/hi... | {
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In [asr_with_diarization config](https://github.com/NVIDIA/NeMo/blob/2aa68822bbfb8e7e8c221817b66de28928d6443b/examples/speaker_tasks/diarization/conf/offline_diarization_with_asr.yaml) the threshold is described as follows:
```yml
parameters:
asr_based_vad: False # if True, speech segme... | {
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} | Refactoring Tacotron2 to use new TTSDataset class
**Collection**: [Note which collection this PR will affect]
# Changelog
nemo.collections.asr.data.audio_to_text.AudioToCharDataset -> nemo.collections.tts.torch.data.TTSDataset
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read... | {
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} | # What does this PR do ?
Add path_prefix to concat to the begining of audio_file.
**Collection**: ASR collection
# Changelog
- Add path_prefix to concat to the begining of audio_file.
# Usage
* You can use path_prefix on the cloud platforms like AWS Sagemaker, where you don't know the full path of the da... | {
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} | Signed-off-by: Карпов Николай Вячеславович <karpnv@yandex.ru>
# What does this PR do ?
Add RUCharParser to parse Cyrillic letters
**Collection**: ASR collection
# Changelog
- Add RUCharParser to parse Cyrillic letters
- Add config with cyrillic letters examples/asr/conf/quartznet/quartznet_15x5_ru.yaml
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The command I used was:
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} | # What does this PR do ?
Adding unit tests for GPT
_Need to add merge and vocab files to the test tarfile_
**Collection**: NLP
# Changelog
- Test tokenizer
- Test constructor
- Test forward
# Usage
```bash
TRANSFORMERS_OFFLINE=1 pytest tests/collections/nlp/test_gpt_model.py
```
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Adds mixin for accessing intermediate layers of a model.
**Collection**: [core, asr]
# Changelog
# Usage
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation | {
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} | # What does this PR do ?
Allow to use relative paths in manifest file.
**Collection**: ASR or any other collection which use manifest file with field "audio_file"
# Changelog
- Allow to use relative paths in the ASR manifest file
# Usage
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# What does this PR do ?
This PR fixes the bug reported in Issue #4059.
Before this fix, QuartzNet ASR Model could not generate word timestamps for an utterance with a single word.
**Collection**: [Note which collection this PR will affect]
ASR
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} | # What does this PR do ?
Fix link to tutorial in dialogue docs
**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 ?
Fix for an issue where during tarred dataset, max_steps computation fails in label models
**Collection**: ASR
# Changelog
- Adds it during setting up of training data
- Deleted duplication code for mapping tarred audio paths
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] ... | {
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# What does this PR do ?
Generalize the way adapters are merged with their input, so as to allow more complicated adapters for the future, such as SimAdapter or MetaAdapter
**Collection**: [Core, ASR]
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**PR Type**:
- [x ] Documentation
* cleaned up nemo docs on wfst-based TN/ITN, removed redundant docs
* removed run_predict.py and added functionality to normalize.py
* cleaned up WFST_tutorial and Text_normalization tutorials, merged inverse text normalization into text normalization tutorial | {
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**Collection**: NLP
# Changelog
- Update script to use plugin necessary for BCP
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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# Before y... | {
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# Changelog
- Correct link to PTL
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
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Punctuation and capitalization model is run on 1 GPU even if `strategy=ddp`, `accelerator=gpu`, `devices=2`. For running on several GPUs a user has to set parameter `num_processes`.
**Steps/Code to reproduce bug**
Run script `examples/nlp/token_classification/punctuation_capitalization_tra... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: Core
# 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 ?
Add async grad allreduce, work for T5 and GPT-3.
Increase allreduce granularity by grouping params into multiple chunks. Every time a chunk is finished, we start an allreduce for the chunk (sending large chunk of data can better utilize bandwidth).
Current implementation works for BF16 O2 ... | {
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I recently updated from NeMo 1.7.2 to 1.8.2
When running a training session, the speed is now `4.04s/it` whereas it used to be `2.97it/s`.
Note it's taking ~4 **seconds per iteration** whereas it used to be ~3 **iterations per second**!
Here's my trainer config since it's the only things th... | {
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} | # What does this PR do ?
Remove TTS models that were deprecated and marked for deletetion.
**Collection**: TTS, ASR
# Changelog
- Removes the following tts models and associated modules
- DegliModel
- EDMel2SpecModel
- FastPitchHifiGanE2EModel
- FastSpeech2Model
- FastSpeech2HifiGanE2EModel
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} | # What does this PR do ?
After #4046 fix the link in the README to point to the correct page!
**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 nec... | {
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# What does this PR do ?
Adds documentation for `@typecheck()` decorator for neural typechecking.
**Collection**: [Docs]
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
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# What does this PR do ?
Updates various files with the new path for the LJSpeech whitelist file
**Collection**: TTS
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
# Additional Information
* Related to #4076
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The PR adds logger message for exceptions during audio processing in SDE player.
**Collection**: Tools/SDE
# Changelog
- Added exception handling for audio player in SDE
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read and followe... | {
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```
# TODO(oktai15): remove +model.text_tokenizer.add_blank_at=true when we update FastPitch checkpoint
!(python fastpitch_finetune.py --config-name=fastpitch_align_v1.05.yaml \
train_dataset=./6097_manifest_train_dur_5_m... | {
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when running p-tuning of T5 model in branch1.8.0, freezing the LM model weights, it raises
```
Exception has occurred: RuntimeError (note: full exception trace is shown but execution is paused at: _run_module_as_main)
element 0 of tensors does not require grad and does not have a grad_... | {
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} | # What does this PR do ?
Cherry picks fastpitch bugfix.
**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 t... | {
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} | # What does this PR do ?
minor fix to the signature `eval_epoch_end`
# Changelog
add `global_rank` to `eval_epoch_end`
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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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Made saving prompt encoder embeddings to prompt table non-configurable
Add a one line overview of what this PR aims to accomplish.
# Changelog
- updated MegatronGPTPromptLearning class
- removed line from example config
# Usage
removed `save_tuned_prompt... | {
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Replace sampled tokens with EOD after EOD has been sampled once
**Collection**: BigNLP
# Changelog
- Updated
# Usage
Same as before
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read and followed [Contributor guidelines]... | {
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Adds ability to calculate loss on answer portion of the prompt only for p-tuning/prompt-tuning.
**Collection**: BigNLP
Updated
- GPTPromptLearningDataset class
- MegatronGPTPromptLearningModel class
- megatron_gpt_prompt_learning_config
# Usage
Same a... | {
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# What does this PR do ?
Has mechanism to retire older ind files by updating internal idx version.
Indexing speed of 1443990774 samples in 147 files using 6 workers
```
```
Loading speed
```
[NeMo I 2022-04-29 00:23:22 text_memmap_dataset:85] Time loading 1... | {
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**Steps/Code to reproduce bug**
python tools/speech_data_explorer/data_explorer.py manifest.json
**Expected behavior**
It ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4066 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4066/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4066/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4066/events | https://github.com/NVIDIA/NeMo/issues/4066 | 1,215,807,009 | I_kwDOC_bI7s5Id74h | 4,066 | Audio sample rate for transcribing | {
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I know the audio sample rate for fine-tuning the Nemo models should be 16khz. Is the sample rate should be 16khz for the audios to transcribe with Nemo models? | {
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I have an error `Interpolation key 'model.labels' not found` when I set up the training params model. I do the following steps:
1) I used `stt_en_conformer_ctc_small` as pre-trained model.
2) I load `conformer_ctc_char.yaml ` file.
3) I change the model.labels in this file manual... | {
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# What does this PR do ?
Adds support to SaveRestoreConnector to employ a pre-extracted nemo directory path as a restoration directory.
This is required for extremely large language model restoration, which cannot be extracted partially during multinode inference.
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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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https://api.github.com/repos/NVIDIA/NeMo/issues/4059 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4059/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4059/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4059/events | https://github.com/NVIDIA/NeMo/issues/4059 | 1,215,068,355 | I_kwDOC_bI7s5IbHjD | 4,059 | Error in ASR_with_SpeakerDiarization script when transcribing only one word | {
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I'm using the script https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/ASR_with_SpeakerDiarization.ipynb in Colab and I came across a problem. When trying to transcribe an audio that has the transcription of only one word, it gives the following error in the "Run ASR and get word timestamps" block:
... | {
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# What does this PR do ?
Removes conditionals in favor of simple calculation of num workers due to changes in PTL flags, as per conversation with @nithinraok and prior discussion in #3589
# Changelog
- Update calculation of num workers in model class (optimi... | {
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} | remove pynini guard, since pynini dependency is no longer depending on conda.
moved punct_post_process function from nlp collection to text_processing collection to avoid circular dependency | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4054 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4054/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4054/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4054/events | https://github.com/NVIDIA/NeMo/pull/4054 | 1,214,919,303 | PR_kwDOC_bI7s42v3fN | 4,054 | fix GPT model parallel eval | {
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} | Signed-off-by: Yi Dong <yidong@nvidia.com>
# What does this PR do ?
Fix the `broadcast` inconsistent type issue which cause the model parallel gpt eval failure. | {
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**Collection**: [Note which collection this PR will affect]
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Thank you very much for your excellent repository.
I am having problems when I want to use Nemo for speaker diarization with "long" audios, could you please help me to make it work correctly?.
The error is the following:
```
RuntimeError: Caught RuntimeError in DataLoader worker process 0... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4050 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4050/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4050/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4050/events | https://github.com/NVIDIA/NeMo/pull/4050 | 1,214,065,177 | PR_kwDOC_bI7s42tEGw | 4,050 | Fix Punctuation and Capitalization model batching. An issue with shuffling. | {
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} | # What does this PR do ?
1. If in DDP mode number of batches is not evenly divisible by number of processes, some batches may be processed several times. This lead to distorted metrics. This PR adjusts number of batches to number of processes.
2. In DDP mode batches in different processes are shuffled independently... | {
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I am looking for text normalization tools and select nemo text normalization tools.
In order to use it in c++, I follow the tutorial in [https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/nlp/text_normalization/wfst/wfst_text_processing_deployment.html](url)
and run test tn ... | {
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} | # What does this PR do ?
Implements the following
1. RMSNorm normalization, used in T5 when not using bias terms.
2. Normformer that adds extra normalization layers after self-attention and between the MLP feedforward layers. Also adds the option of configuring the additional MHA scale parameter.
3. Fixed some ... | {
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```bash
# train
python examples/tts/hifigan_finetune.py \
--config-path=conf/hifigan \
--config-name=hifigan \
exp_manager.name=hifigan \
+exp_manager.exp_dir=/experiments \
+exp_manager.version=20220423-1956 \
exp_manager.resume_if_exists=true \
exp_manager.resume_i... | {
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} | # What does this PR do ?
Adds a prompt learning page to the NeMo docs.
**Collection**: BigNLP
# Changelog
- Added prompt_learning.rst
- Edited megatron.rst
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read and followed [Contributor guidelines](https://gith... | {
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} | # What does this PR do ?
Adds support of stacking to conformer which was missing.
# Changelog
Adding support of stacking downsampling to conformer models.
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation | {
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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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} | Signed-off-by: Virginia Adams <vadams@nvidia.com>
Checks if micro batch calculator has already been initialized before calling apex micro batch setup function.
**Collection**: BigNLP
# Changelog
- Changed megation_init.py
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
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# What does this PR do ?
Remove all support for kaldi-io.
Reason - very old library that has poor logging format and is very rarely used.
**Collection**: [ASR]
# Changelog
- Remove any support for kaldi-io
**PR Type**:
- [ ] New Feature
- [x] Bugfix
-... | {
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# What does this PR do ?
Removes the requirement of 'max_token_duration', 'min_token_duration' and 'zero_emb' to be restored from the state_dict. This PR sets persistent=False in register_buffer for the above variables.
This PR also sets the correct URL to... | {
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# What does this PR do ?
Add back Citrinet ZH to pretrained models.
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: Core
# 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 ?
Add Rotary positional embedding to parallel attention
Add Chunked Cross attention module
Add RETRO encoder module
Add RETRO decoder module
Add unit-test for individual modules.
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} | Signed-off-by: smajumdar <titu1994@gmail.com>
# What does this PR do ?
Tries to force the CI to perform import tests
**Collection**: [Core]
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIB... | {
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