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Fix bug when `inference.compute_logprob=True`. Only first and last pipeline stages have a response.
**Collection**: NLP
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Fix multi-speaker FastPitch test nightly
**Collection**: [TTS]
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# Usage
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Debugs Transformer Engine FP8 support with Megatron-core infrastructure
**Collection**: NLP
# Changelog
- Construct FP8 amax reduction group
# Usage
Set `transformer_engine: True` and `fp8: True` in the config.
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Debugs Transformer Engine FP8 support with Megatron-core infrastructure
**Collection**: NLP
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VP fixes cherry picked to release branch
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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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Do you have results of ASR models on benchmark datatsets? I want to compare your toolkit with wenet/espnet.
Best regards,
Aaron | {
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} | # What does this PR do ?
1. previously, '#' was hardcoded as a prefix for Chinese phonemes and tones in both g2p and tokenizer. It is apt to raise errors if mismatched prefix symbols are applied for g2p and tokenizer.
2. previously, phoneme set and tone set are hardcoded as well. It would raise errors when the in... | {
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`NeMoModelCheckpoint.on_train_end()` saves the epoch info incorrectly, which would break resuming training from the last checkpoint.
For example, when the maximum time limit is reached on a cluster, we would usually save checkpoints and launch another job to resume training. Assume that the b... | {
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} | # What does this PR do ?
The type hint was mismatched with https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/tts/g2p/models/i18n_ipa.py#L159.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You ca... | {
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} | null | null | null | Hi all,
Thank you to the creators of this tool!
### Running out of Memory
Unfortunately, while running a stripped down version of [this tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Diarization_Inference.ipynb) on my dataset of radio conversations (which are 1 min to 10 minu... | {
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**Collection**: [Docs]
# Changelog
- Fix codeql config file
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests... | {
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Fix multi-speaker FastPitch test nightly
**Collection**: [TTS]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
* added long prompt in gpt inference config
* temporarily commented model.generate() in gpt eval
* allow to configure max seq length for gpt eval
* allow to set use_flash_attention for gpt eval
**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.
**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 ?
adds feature to preprocess squad in sft format which is going to be used for tutorials on lora in the near future.
**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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[https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb]
While trying to performs the steps mentioned in the above notebook, I'm facing error in trainer.fit(speaker_model)
**Steps/Code to reproduce bug**
Error Log:
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} | # What does this PR do ?
- Currently, the `--text_file` option always looks for .json files, so I've fixed it to look for .txt files.
**Collection**: [NLP]
# Changelog
- If you use the `--text_file` option, it will look for .txt files.
- Fix bug opening invalid file instead of `json_file`.
# Usage
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} | null | null | null | Hello, I want to finetune the tts_es_fastpitch_multispeaker model but I don't know where to find the correct file for the phoneme dictionary. This is the code I’m running for finetuning:
`!(python fastpitch_finetune.py --config-name=fastpitch_align_44100_ipa_multi.yaml \
train_dataset=./transcript_train.json \
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Fix multi-speaker FastPitch testing
**Collection**: [TTS]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read an... | {
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} | # What does this PR do ?
Notebook link fixes
**Collection**: [Docs]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you add ... | {
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} | # What does this PR do ?
Notebook link fixes
**Collection**: [Docs]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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} | # What does this PR do ?
First version of preprocessing ignored audio files where start/end of speech could not be detected. During testing I find that all such examples are silent audio files with no speech. And that most public datasets have several such files. This updates the script to remove such files from the... | {
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There is an assumption in [TextMemMapDataset](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/data/language_modeling/text_memmap_dataset.py) that all nodes share the same storage. When this is not the case, the class fails to find index files on ancillary nodes (those on which we t... | {
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} | # What does this PR do ?
support torch.jit.save for offline clustering maj_vote_spk_count=True
**Collection**: [Note which collection this PR will affect]
# Changelog
- for torch.jit, remove redundant torch.tensor on `est_num_of_spk_list` in `offline_clustering.py`
# Usage
```bash
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} | # What does this PR do ?
adding p-tuning Triton-FasterTransformer inference tutorial
**Collection**: LLM
# Changelog
- Add a new p-tuning deployment notebook
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
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I get the following error
```
AttributeError Traceback (most recent call last)
[<ipython-input-55-5354c1522db5>](https://localhost:8080/#) in <cell line: 1>()
----> 1 msdd_model.save_to(save_path="xyz.nemo")
1 frames
[/usr/local/lib/python3.10/dist-packag... | {
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Adds support of multi-look ahead to cache-aware conformer models for streaming ASR. A model trained with multi-lookahead can support multiple context sizes during inference.
# Changelog
- Added support of multi-lookahead for cache-aware Conformer model for streaming ASR
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Limits the scope of codeql to avoid memory errors
**Collection**: [Core]
# Changelog
- Puts path limits on files that are scanned for codeql
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
Fix k2 installation in Docker with CUDA 12.
Currently k2 is not installed in Docker (fails silently).
Relies on a fix in https://github.com/k2-fsa/k2/pull/1200
**Collection**: [ASR]
# Changelog
- fix k2 installation source in `scripts/speech_recognition/k2/setup.sh`
# Usage
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} | # What does this PR do ?
Fix bug when `inference.compute_logprob=True`. Only first and last pipeline stages have a response.
**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 ?
Fix k2 installation in Docker with CUDA 12.
Currently k2 is not installed in Docker (fails silently).
Relies on a fix in https://github.com/k2-fsa/k2/pull/1200
**Collection**: [ASR]
# Changelog
- fix k2 installation source in `scripts/speech_recognition/k2/setup.sh`
# Usage
... | {
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Epochs 2
Batch size 32
Optimizer 'SGD'
Lr 0.011823477534453206
Scale 60
Margin 0.07095099595312822
But when testing with our test dataset, we found that some audios that are clearly... | {
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} | # What does this PR do ?
install ctc_decoders inside venv
**Collection**: ASR
# Changelog
- Fix install_beamsearch_decoders.sh to work outside container
# Usage
* Install NeMo ctc-decoders locally inside Conda venv
```bash
# make NeMo venv
conda create --name nemo python==3.8.10
conda activate nem... | {
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} | # What does this PR do ?
Fix validation with validation_drop_last=False flag.
**Collection**: NLP
# Changelog
- fix validation with validation_drop_last=False flag.
# Usage
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# Add a code snippet demonstrating how to use this
```
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} | # What does this PR do ?
When delaying dataset mmap, dataset destructor errored out if the mmap creation was not actually called, leading to misleading tracebacks.
**Collection**: NLP
# Changelog
- Fix MMapIndexedDataset destructor for delayed case.
# Usage
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} | # What does this PR do ?
1. correct the misleading deprecation warnings;
2. organize the duplicate warning and replacing code snippet into a single function.
3. passed `pytest --nightly tests/collections/tts/models`.
**Collection**: [Note which collection this PR will affect]
# Changelog
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<div type='discussions-op-text'>
<sup>Originally posted by **great-goblin** May 22, 2023</sup>
I'm trying to get a VAD model to work for diarization inference, but the VAD model alone has atrocious performance. I tried following along using the par... | {
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Please correct each item as shown below for `radtts`,
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} | # What does this PR do ?
Fix an issue with VP parameter loading.
NOTE: this is not a complete fix for VP, bugs are still being fixed in later PRs.
**Collection**: [NLP]
# Changelog
- force config to be correctly updated for megatron amp 02
- update VP logic when loading weights
# Before your PR is "Rea... | {
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Fix TTS adapter duration issue.
**Collection**: [TTS]
# Changelog
- `examples/tts/conf/fastpitch_align_44100_adapter.yaml`
- `examples/tts/fastpitch_finetune_adapters.py`
- `nemo/collections/tts/losses/aligner_loss.py`
- `nemo/collections/tts/models/fastpitch.py`
- `tutorials/tts... | {
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} | # What does this PR do ?
When using SentencePiece with custom model, `tokenizer.model` was not propagated to GPT Model initialization, hence resulted in error.
**Collection**: NLP
# Changelog
- `nemo/collections/nlp/modules/common/tokenizer_utils.py`
# Usage
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NFA updates: improve API, reduce memory consumption
**Collection**: [Note which collection this PR will affect]
Tools
# Changelog
Numerous adjustments, including:
- Reduced memory requirements of viterbi decoding
- Removed need to specify model downsample factor
- Now ASS format ... | {
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Various NFA updates: improving APIs, reducing memory consumption, etc.
**Collection**: [Note which collection this PR will affect]
Tools
# 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 [`__len__`](https://github.com/NVIDIA/NeMo/blob/dc9dda09ff4fb986cf7653e9384c4ea6ec4202fd/nemo/collections/nlp/data/language_modeling/megatron/data_samplers.py#LL81C8-L81C8) function for BaseMegatronSampler use `self.total_samples - self.consumed_samples` to caculate the sampler length. Is th... | {
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When I run default ` python duplex_text_normalization_infer.py \
tagger_pretrained_model=neural_text_normalization_t5 \
decoder_pretrained_model=neural_text_normalization_t5 \
inference.from_file=False \
lang=en \
mode=tn` got this error
![image](https://github.com... | {
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while using eval_beamsearch_ngram.py , i face the following error:
"
Traceback (most recent call last):
File "/root/anaconda3/lib/python3.10/site-packages/nemo/collections/asr/modules/beam_search_decoder.py", line 64, in __init__
from ctc_decoders import Scorer, ctc_beam_search_decoder_batch
ModuleNot... | {
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} | # What does this PR do ?
Added two syllable tokenizers for Indic Languages.
**Collection**: common
# Changelog
- Added an IndicSyllableBFTokenizer which performs brute force split of text on vowel signs.
- Added an IndicSyllableTokenizer which splits syllables based on the indic-nlp-library's syllabifier mo... | {
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**Collection**: [Note which collection this PR will affect]
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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 ?
Allow expanded checkpoints for base model during eval.
**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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We are working on a project that identifies if is the same person in different audios, basically speaker recognition. We put 75% of threshold to identify the same person.
We work with clean audios and phone call audios in Portuguese, the correct was have a model for each audio type, or could join th... | {
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This commit adds an optional flag to specify the directory to write index files to.
**Collection**: nlp
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} | # What does this PR do ?
Fix a bug when training SFT model with dialog dataset when setting `self.pad_to_max_length=False`
**Collection**: [Note which collection this PR will affect]
# Changelog
```
#gpt_sft_chat_dataset.py
## original code
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Fix a bug when training SFT model with dialog dataset when setting `self.pad_to_max_length=False`
**Collection**: [Note which collection this PR will affect]
# Changelog
```
#gpt_sft_chat_dataset.py
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} | Update all invalid tree references to blobs for NeMo samples
Currently, most of the TTS tutorials are "broken" because the link to colab is invalid. This fixes those links. I also verified that all the new links work correctly.
**Collection**: NeMo Tutorials
# Changelog
- Several of the tutorials pointed to ... | {
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} | Inconsistent usage of the word Note, which includes a broken reading in one case.
I'm just doing some tidying -- not trying to be critical.
**Before**:
**After**:
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Fixes a masking bug where boolean values were inverted from what was expected. Reverted change from PR #5653.
**Collection**: TTS
# Changelog
- Added check for `== 0` (applied to the input mask) back to the Aligner forward call. Otherwise the mask is applied incorrectly, as the value... | {
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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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# Usage
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update batch size recommendation to min 32 for 43b
**Collection**: [Note which collection this PR will affect]
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# Usage
* You can potentially add a usage example below
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**Collection**: ASR
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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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} | # What does this PR do ?
Implement new VocoderDataset to support multi-manifest training, which follows the same design pattern as the new TextToSpeechDataset (https://github.com/NVIDIA/NeMo/pull/6575).
**Collection**: [TTS]
# Changelog
- Add VocoderDataset implementation
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Adds new feature to compare two ASR models on utterance level visually
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
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Hello,
I built Multilingual ASR model with Korean and English.
However, I found that tokens are assigned not correctly.
I used 128 tokens for english, and 1641 tokens for korean (Total 1749)
when i checked vocabulary, there were seve... | {
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} | # What does this PR do ?
* Add extrapolatable position embedding, e.g. xpos, sandwich.
* Fix extrapolatable position embedding, e.g. alibi, kerple.
* Add flash attention (FA)
**Collection**: [NLP]
# Changelog
* GPT
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} | # What does this PR do ?
Add an optional and configurable callback for FastPitch training which allows providing a vocoder checkpoint and saving any combination of model output (spectrogram, alignment, audio, audio with gt duration, prosody features) to (local_disk, tensorboard, wandb).
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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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} | # What does this PR do ?
Fixes issue with bucketing datasets, where loss for new run jumps from a previous run.
Tested.
**Collection**: ASR
# Changelog
- break once bucket finishes, so as to pick next bucket
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed ... | {
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1. Using current `nemo_toolkit` `1.14.0+`, the model loads fine but there is an error: `'SpeechEncDecSelfSupervisedModel' object has no attribute 'transcribe'`
```
<ipython-input-12-1d1ce9ce6276> in transcribe_with_lm(wav_file)
38
39 def tr... | {
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} | null | null | null | Hello,
I built Multilingual ASR model with Korean and English.
However, I found that tokens are assigned not correctly.
I used 128 tokens for english, and 1641 tokens for korean (Total 1749)
when i checked vocabulary, there were several suspicious points.
When i printed asr_model.tokenizer.langs_by_token_id, ... | {
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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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} | # What does this PR do ?
keeping it would make installation log misleading like below. It'd better remove it.
```
(nemo) xueyang@DEV:~/workspace/NeMo:(main)$ ./reinstall.sh
Uninstalling stuff
Found existing installation: nemo-toolkit 1.18.0rc0
Uninstalling nemo-toolkit-1.18.0rc0:
Successfully uninstalled nem... | {
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"merged_at": "2023-05-16T01:44:49"
} | # What does this PR do ?
handle artifacts assumes a compressed `.nemo` this PR checks if model is a `dir` and does not try to untar if it is a `dir`.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You ca... | {
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} | # What does this PR do ?
Adding new functionality for confidence ensembles and fix existing issues. Note that there is a plan with another follow-up PR to fix (partially) existing TODOs in the code + add docs, types and a tutorial on the usage.
**Collection**: ASR
# Changelog
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} | # What does this PR do ?
- Fix eval_beamsearch_ngram.py with hybrid ctc
- Set default value text_processing.separate_punctuation=false for
scripts/asr_language_modeling/ngram_lm/eval_beamsearch_ngram.py
examples/asr/speech_to_text_eval.py
**Collection**: ASR
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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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Adding dialogue dataset for SFT. | {
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Make sure all doc updates and bugfixes that were made to the release branch back into main.
**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... | {
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Next to test with TP>1 and PP>1. | {
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while trying to finetune my asr model with another language, there is "??" token in my predictions while it isn't in my list of tokens.
what is it? does any one know? | {
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There are many loanwords in korean which from english.
For example, "Coffee" is "커피" in korean. These two words have same pronunciation and meaning.
The sentence "커피 마실래?" is "would you want coffee?" in english.
Let's say there is som... | {
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The paper of CitriNet said they used 32 V100 GPUs, with a batch size of 32 per GPU.
then, the gradients of each GPU are accumulated and updated together?
When I trained CitriNet-384 model with single gpu, with batch size of 32, then grad_accumulation=32 will be same condition with the paper?
Also, Im ... | {
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} | # What does this PR do ?
fixes conversion of sft ckp to nemo and allows eval of sft .nemo using peft_eval scripts.
**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 b... | {
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} | # What does this PR do ?
Move `black` formatter parameters to `pyproject.toml`
Advantages:
- parameters are stored in one place
- one can use `black .`/`black <file>` command to reformat code
- more robust: if someone tries to reformat code with the newest `black` version, the error will be thrown (instead of ... | {
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} | null | null | null | I am getting the following error when I do train SSL conformer with fp16. Also, I have slightly changed some parameters as below.
```
model.validation_ds.batch_size=8 \
model.train_ds.max_duration=20 \
model.train_ds.min_duration=1 \
+model.validation_ds.max_duration=20 \
model.validation_ds.min_duration=1 \
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I have a question about Multilingual ASR models.
In a Multilingual ASR model, when using an Aggregate tokenizer, the "lang" field needs to be added in the manifest. From what I understand from tech blogs and tutorials, the "lang" field is primarily used to assign offset indices to tokens for each language... | {
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} | # What does this PR do ?
I finally figured out the reason for random failure of this test. It turns out that sometimes our input signal is such that for some models it results in all-zeros in the output of some initial encoder layers. This is then propagated all the way through the model and so the assert that final... | {
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
sft model can use `megatron_gpt_peft_eval.py`
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
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**Collection**: ASR
# 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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