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Hello, guys!
I have a problem: I tried to train [Conformer-Transducer](https://huggingface.co/nvidia/stt_ru_conformer_transducer_large) model. But I stucked at the start. I think it's because of trainer parameters or some cuda error but I'm note sure...
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[NeMo W 2023-10-17 16:18:53 optim... | {
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This PR adds long-form audio speaker diarization feature by adding LongFormSpeakerClustering class.
Two parameters are added to yaml file for long form audio clustering.
This is forward function for long-form speaker clustering.
Please refer to `SpeakerClustering` class for the original... | {
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Add snake activation to Audio Codec
**Collection**: TTS/ASR
# Changelog
- Add Snake Activation to activation file
- Optionally choose between ELU/Snake while building model
- Note: Prior checkpoints don't load as is without modifying variable names
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Add the ability to change the base value of RoPE embeddings from config.
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update text server to support compute logprobs
**Collection**: [nlp]
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- 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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fix speechllm few-shot inference
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When max time is reached in training, we'll terminate gracefully without running validation. This allows us to quit as fast as possible after saving a last checkpoint.
**Collection**: [Note which collection this PR will affect]
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Add a conversion script to convert legacy (non-mcore path) nemo checkpoint into mcore-path checkpoint for GPT models
Verification between legacy and converted mcore checkpoints:
- Weights match exactly
- Model forward pass outputs are close (barring precision differences in TE).
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Add a one line overview of what this PR aims to accomplish.
Add multimodal models in NeMo
**Collection**: [Note which collection this PR will affect]
Multimodal, Vision, NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Add multimodal models in NeMo
**Collection**: [Note which collection this PR will affect]
NLP, Vision, Multimodal
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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in the NeMo/scripts/tts-dataset_files, there is a cmudict phoneme to ipa phoneme mapping file : cmudict-arpabet_to_ipa_nv22.08.tsv, but this file contains only 42 cmudict phonemes, this seems not enough to translate all cmudict phonemes to ipa, is ... | {
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Update the speech_cv branch to support audio-visual speech recognition
**Collection**: [multimodal/speech_cv]
# Changelog
- Update speech_cv branch
- Add audio-visual datasets
- Add audio-visual models: (AudioVisualEncDecCTCModelBPE, AudioVisualEncDecCTCModel, AudioVisualEncDecHybr... | {
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I am trying to finetune a nvidia/stt_en_fastconformer_transducer_large for arabic ASR. I changed the labels(using bpe tokeniser) and since epoch 50 (out of 100) they were outputing correct output labels .
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a script to average distributed checkpoint files. | {
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} | # What does this PR do ?
Fix typo in code block in docs
**Collection**: Docs
# Changelog
- Add indendation after `with open_dict(decoding_cfg):` in code block
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
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https://api.github.com/repos/NVIDIA/NeMo/issues/7716 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7716/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7716/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7716/events | https://github.com/NVIDIA/NeMo/pull/7716 | 1,942,710,405 | PR_kwDOC_bI7s5cxwdq | 7,716 | swa decoding | {
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} | Add swa decoding to swa branch.
Parameter: model.encoder.limited_context_decoding
Options: None (use full decoding), "local", "local_with_sink" | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7714 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7714/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7714/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7714/events | https://github.com/NVIDIA/NeMo/issues/7714 | 1,942,532,352 | I_kwDOC_bI7s5zyLEA | 7,714 | Request for running Llama 2 with Nemo | {
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Is there any tutorial or example to run LLama2 with Nemo?
Thank you.
| null | {
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} | # What does this PR do ?
Include Modular SpeechLLM implementation for Sept. 2023 submission (SALM). The implementation integrates a pretrained FC and a frozen LLM, and can do ASR, AST, and in-context learning for keyword boosting.
The implementation is ptn2.0 compatible.
**Collection**: multimodal
# Usage
... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7712 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7712/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7712/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7712/events | https://github.com/NVIDIA/NeMo/pull/7712 | 1,942,271,249 | PR_kwDOC_bI7s5cwag6 | 7,712 | fix ptl_bugs in slu_models.py | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
This PR added fixes for PTL2.0 related SLU bugs in r1.21.0: Val metrics logging, None dataloader issue
Collection:
ASR
# Changelog
- correct logging of validation metrics and test_dataloader() function in nemo/collention... | {
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} | null | null | null | `scripts/tokenizers/process_asr_text_tokenizer.py` creates the tokenizer with create_spt_model (`from nemo.collections.common.tokenizers.sentencepiece_tokenizer import create_spt_model`) which already includes those flags. can you just expose those options in the top level script for creating the tokenizer? | {
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I'm using a fastconformer hybrid RNNT-CTC model and have trained an LM with Kenlm so i can decode with eval_beamsearch_ngram.py. However, I'm seeing two issues so far:
1. When specifying the probs_cache_file flag to stor... | {
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I am training EncDecSpeakerLabelModel for speaker identification model , however I am **having difficulty on reproducibility** on model training.
Below code is part of the example from [HERE](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ip... | {
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This causes a huge problem when one needs to sync checkpoints to cloud and be able to delete them once this is done.
Is there... | {
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} | # What does this PR do ?
move core install to /workspace
**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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Add few-shot in-context learning for inference and MLP modality adapter.
An example of manifest is:
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Same issue and fix as in https://github.com/NVIDIA/NeMo/pull/7671
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
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Same issue and fix as in https://github.com/NVIDIA/NeMo/pull/7671
**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 ?
Add steerlm paper to publications
**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 ?
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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} | …MCORE pass
# What does this PR do ?
Added a knob to pass from the Nemo Launcher to the Mcore pass model for the ub_tp_comm_overlap switch.
Reference PR: https://github.com/NVIDIA/Megatron-LM/pull/532
This fix will be used by this PR in the Megatron-LM repository. | {
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Related to [bug report](https://nvbugswb.nvidia.com/NvBugs5/SWBug.aspx?bugid=4312419&cmtNo=),
Chinese normalizer outputted wrong normalized text for the input, '双辽境内除东辽河、西辽河等**5**条河流', where we expect '双辽境内除东辽河、西辽河等**五**条河流'.
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Add a one line overview of what this PR aims to accomplish.
This PR added fixes for PTL2.0 related SLU bugs in r1.21.0: Val metrics logging, None dataloader issue
Collection:
ASR
# Changelog
- correct logging of validation metrics and test_dataloader() function in nemo/collention... | {
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Add a one line overview of what this PR aims to accomplish.
This PR added fixes for PTL2.0 related SLU bugs in r1.21.0: Val metrics logging, None dataloader issue
Collection:
ASR
# Changelog
- correct logging of validation metrics and test_dataloader() function in nemo/collention... | {
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When trying to export FastPitchModel to TorchScript model:
```python
from nemo.collections.tts.models import FastPitchModel
fastpitch_model = FastPitchModel.from_pretrained("tts_en_fastpitch")
fastpitch_model.export("fastpitch.pt")
```
It reported error:
```
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} | # What does this PR do ?
Installing NeMo/TransformerEngine and checkout Megatron-LM code by using its `main` branch.
Then run pytest
```python
PYTHONPATH=/home/robin/Megatron-LM/ pytest --tb=native tests/
```
It directly reported error:
```
ImportError while loading conftest '/home/robin/try1/NeMo/tests/conft... | {
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Aim: To Imporve the ASR model Accuracy with the help of LM.
ASR Model Used: Nvidia Nemo: Conformer-CTC-BPE.nemo
As per my understanding steps to implement ASR Language Modeling
1. Create KenLM Library.
2. Install Beam Search Decoder
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} | # What does this PR do ?
Fix multi node fine-tuning script by adding rank based delay
**Collection**: [ASR]
# Changelog
- Add some delay to other ranks for the pretrained model call
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https... | {
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**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: Docs (General and ASR)
# Changelog
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Apply Trainer Builders to more example scripts.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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} | # What does this PR do ?
This PR adds a multichannel mask estimator which can process flexible number of channels.
It also fixes some bugs related to PTL 2.0 and librosa version.
**Collection**: ASR
# Changelog
- added example config `beamforming_flex_channels.yaml`
- add `max_utts` `process_audio.py`
-... | {
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https://github.com/NVIDIA/NeMo/blob/c1881f2105a0b65cb9513bcd85456b430ff81bb2/examples/asr/asr_ctc/speech_to_text_ctc_bpe.py#L76
Should it be conformer_ctc_bpe config file instead of citrinet config file?
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Using NeMo container 23.06 and the [nemo_gpt1.3B_fp16.nemo](https://huggingface.co/nvidia/nemo-megatron-gpt-1.3B/blob/main/) file located in the NVIDIA HuggingFace Hub, the following command fails to execute:
"python3 examples/nlp/language_modeling/megatron_export.py \
model_type=gpt \
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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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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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After the standard installation of NeMo, running `pytest tests/` in code repo will report the error:
```
______________________________________________________________________________________ ERROR collecting tests/collections/nlp/test_flash_attention.py ___________________________________... | {
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When transformer_engine is enabled. NeMo doesn't pass the bias flag to the [AutocastTransformerLayer](https://github.com/NVIDIA/NeMo/blob/2cc09425aba3e9b3cfdba43a3188eaef58227055/nemo/collections/nlp/modules/common/megatron/transformer.py#L1014) in [ParallelTransformer](https://github.com/NVIDIA... | {
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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 ?
Adds support for Sliding Window Attention (SWA) in Flash Attention 2 to Nemo
**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 ?
Conversion script for HuggingFace Falcon checkpoint (1b-rw/7b-rw/7b/40b/180b) to NeMo format, as well as NeMo to HuggingFace format.
Support Falcon parallel attention and new decoder architecture by adding falcon_decoder_layer and falcon_spec,
these will make use of mcore's latest spec sys... | {
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It appears that Nemo is using the wrong PTL API for logging aggregate int counters:
```
$ grep '\.log(' | grep global
nemo/collections/nlp/models/language_modeling/megatron_finetune_model.py:
self.log('global_step', self.trainer.global_step, prog_bar=True, rank_zero_only=True,... | {
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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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**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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} | # What does this PR do ?
Adds a LR scheduler policy (LinearWarmupHoldDecayPolicy) that has following properties:
- Phase 1: linear warmup from 0 to the optimizer's learning rate
- Phase 2: constant phase
- Phase 3: linear decay to 'min_lr'
- Phase 4: constant phase at 'min_lr'
A visual representation of above i... | {
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UserWarning: Detected call of lr_scheduler.step() before optimizer.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this will result in PyTor... | {
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} | # What does this PR do ?
Adds a new publications section to the NeMo website
**Collection**: [Docs, Core, ASR, TTS, NLP]
# Changelog
- Add a pseudo "blog" to incorporate all our publications
- Update some internal overrides to support useful redirects
- Make the `Continue reading` button have a right arrow... | {
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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 ?
In this PR, it genialized the chat SFT dataset that it can use customized turn start/end tokens by using chat_prompt_tokens config. e.g.
```yaml
chat_prompt_tokens: # special tokens for the chat prompts, a dictionary of {token_type: token}. note that some tokenizer may combine the cha... | {
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} | # What does this PR do ?
Currently when running VAD marblenet you sometimes randomly get the error:
```
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1514, in _call_impl
return forward_call(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/nemo/collections... | {
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} | # What does this PR do ?
Fix an issue with Dockerfile not able to find correct value of ffmpeg.
**Collection**: [Core]
# Changelog
- Revert version of ffmpeg
- Fix rw mode of mount
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](http... | {
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} | # What does this PR do ?
Merging https://github.com/NVIDIA/NeMo/pull/7462 to r1.21.0
Modify callbacks to save artifacts into dataset specific folders, instead of saving artifacts from all datasets into 1 folder. This helps organization when training on many datasets, and also handles the case when multiple datase... | {
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} | # What does this PR do ?
Fix an issue with Dockerfile not able to find correct value of ffmpeg.
**Collection**: [Core]
# Changelog
- Revert version of ffmpeg
- Fix rw mode of mount
# Before your PR is "Ready for review"
**Pre checks**:
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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 ?
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 | python punctuation_capitalization_train_evaluate.py
gives me
[NeMo W 2023-10-05 22:24:59 nemo_logging:393] megatron-core was not found. Please see the NeMo README for installation instructions: https://github.com/NVIDIA/NeMo#megatron-gpt.
I can't understand how can I install megatron-gpt?
There is an instruction ho... | {
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python 3.11.5
torch 2.11.0
conda
I have installed MeCab via pip3 install mecab-python3.
creating build/lib.linux-x86_64-cpython-311
creating build/lib.linux-x86_64-cpython-311/MeCab
copying src/MeCab/cli.py -> build/lib.linux-x86_64-cpython-311/MeCab
copying src/MeCab/__in... | {
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} | # What does this PR do ?
When running below snippet for using FastPitch model trained from AISHELL-3 (the `aishell3.nemo` is from [here](https://github.com/RobinDong/nemo_models/blob/main/models/aishell3.nemo))
```python
from nemo.collections.tts.models import FastPitchModel
from nemo.collections.tts.models import ... | {
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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 ?
This PR adds group-residual vector quantizer as in http://arxiv.org/abs/2305.02765
**Collection**: TTS
# Changelog
- Added group-RVQ
- Added unit tests for RVQ
# Usage
To use, add the following in the config file
```yaml
vector_quantizer:
_target_: nemo.collections.tt... | {
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} | # What does this PR do ?
fixed trainer.devices and trainer.accelerator.
**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 ?
Add fc large LS only trained models to pretrained list and docs
**Collection**: ASR
# Changelog
- Add to pretrained list
# Usage
```python
from nemo.collections.asr.models import ASRModel
model = ASRModel.from_pretrained('stt_en_fastconformer_transducer_large_ls')
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- Fixes a small bug with GPT PEFT evaluation
- Adds BCM support for running evaluation
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Fix issue where peft weights are not loaded for distributed checkpoints
**Collection**: NLP
# Changelog
- Load peft weights in restore_from instead of _load_state_dict_from_disk if distributed checkpoint is used
# Usage
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} | # What does this PR do ?
Currently when running VAD marblenet you sometimes randomly get the error:
```
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1514, in _call_impl
return forward_call(*args, **kwargs)
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} | # What does this PR do ?
Fixes RNN-T greedy decoding: writes blank alignment and confidence immediately.
Fixes https://github.com/NVIDIA/NeMo/issues/7484
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
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Include Modular SpeechLLM implementation for Sept. 2023 submission (SALM). The implementation integrates a pretrained FC and a frozen LLM, and can do ASR, AST, and in-context learning for keyword boosting.
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Include Modular SpeechLLM implementation for Sept. 2023 submission (SALM). The implementation integrates a pretrained FC and a frozen LLM, and can do ASR, AST, and in-context learning for keyword boosting.
The current implementation is based off of r1.20.0 release.
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Implements Top-P sampling, also known as nucleus sampling.
I put it in with the Top-K sampler, as I felt like this kept the code cleaner – at the cost of an `if` statement in the decoding loop. I could move it to its own class as well, but since a lot of people use Top-K and Top-P togethe... | {
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We observed a discrepancy between numerical outputs of the NeMo and TE implementations of GPT. It seems to come from rotary embeddings not being passed to the TE module.
**Steps/Code to reproduce bug**
In https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/modules/common/megatron... | {
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