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Fix some typos in Multitask_Prompt_and_PTuning.ipynb
**Collection**: NLP
# Changelog
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# Usage
n/a
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# Usage
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Hi. Thank you very much for your implementation on ACEVC. I'm interested in this Zero-shot Voice Conversion project. I tried to train the model following the document on the website https://paarthneekhara.github.io/ace/code.html. However, it takes much time because of my poor hardware conditions. Are there any pretra... | {
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Minor cleaning, followup from #5837
@VahidooX I think I've address you comments. Let me know if I missed something.
**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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Fix multi-processing bug in data simulator
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Fix the wrong branch name in speaker diarization inference notebook
**Collection**: [Note which collection this PR will affect]
# Changelog
It should be BRANCH="r1.17.0" but it was BRANCH="main" in r1.17.0
# Usage
Run Speaker_Diarization_Inference.ipynb
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ALL
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**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
- Adds RPE support for NMT export
- Fixed RMSNorm export in Megatron
**Collection**: [Note which collection this PR will affect]
# Changelog
- Adds RPE support for NMT export
- Fixed RMSNorm export in Megatron
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Fix the wrong branch name in speaker diarization inference notebook
**Collection**: [Note which collection this PR will affect]
# Changelog
It should be BRANCH="r1.17.0" but it was BRANCH="main" in r1.17.0
# Usage
Run Speaker_Diarization_Inference.ipynb
# Before your PR is... | {
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} | # What does this PR do ?
Replaces MixedFusedRMSNorm with PyT equivalent during export process
**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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I run command:
`pip install "nemo_toolkit[all]"
`
And I get more errors,
the first one is:
`
->nemo_toolkit[all]) (0.9.1)
Building wheels for collected packages: fasttext
Building wheel for fasttext (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py bdist_whee... | {
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Replaces MixedFusedRMSNorm with PyT equivalent during export process
**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 ?
updated ipa-cmudict files for TTS
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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Collection: [ASR]
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} | # What does this PR do ?
Resolves a bug with feature training for radtts
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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Fixes issues in nemo/collections/asr/models/hybrid_rnnt_ctc_models.py regarding Augmentor parameters to enable transcribe functionality for hybrid RNNT-CTC models
Collection: [ASR]
# Changelog
- in the function transcribe() of class EncDecHybridRNNTCTCModel, added
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Add support for MPS device (Apple Silicon M-series GPU) for ASR inference
**Collection**: [ASR]
# Changelog
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# Usage
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Update docs and model for HiFiTTS version
**Collection**: [TTS]
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests... | {
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**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Fix some bugs and improve usability of TTS preprocessing script.
**Collection**: [TTS]
# Changelog
- Replace hydra runner based script with regular python script that uses OmegaConf to parse .yaml config. The hydra script used AudioPreprocessingConfig as input, but in some situations ... | {
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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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Diarization continues until clustering, upon which I get this error.
"linalg.eigh: The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 529)"
**Steps/Code to reproduce bug**
I'm loosely following the notebook at htt... | {
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Resuming pre-training sometimes fails immediately complaining of empty validation outputs tensor. This PR provides a fix for this issue.
**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 ?
Fixes a bug that makes T5 decode use bos_id even when asked to replace with pad.
**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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After exporting an asr model to onnx "stt_es_citrinet_1024_gamma_0_25", I try to make an inference with onnxruntime and I get the following error:
2023-03-23 01:39:32.514839309 [E:onnxruntime:Default, cuda_call.cc:119 CudaCall] CUDNN failure 3: CUDNN_STATUS_BAD_PARAM ; GPU=0 ; hostname=w1 ; e... | {
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} | # What does this PR do ?
This PR fixes the args passing problems with Float16Module
**Collection**: [Note which collection this PR will affect]
nlp
# Changelog
Changing how Float16Module uses share_token_embeddings, if it detects it in the module it should use that and not overwrite it
# Problem fixed
F... | {
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updating Conformer CTC and RNNT BPE config files docstring to include xlarge model details.
**Collection**: ASR
# Changelog
- updating docstring for conformer BPE config files with xlarge models.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and... | {
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I do the inference steps according to this tutorial: https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Diarization_Inference.ipynb
According to this tutorial, audio will be written to manifest file, output will be... | {
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Hello. I'm trying to fine-tune the HiFi-GAN model the same way as in Finetuning HiFi-GAN section of FastPitch_Finetuning.ipynb tutorial (https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/FastPitch_Finetuning.ipynb), but I get the following error when I try to run the script: "In 'hifigan.ya... | {
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Are there any instructions or do... | {
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} | # What does this PR do ?
I've been experiencing a hang in the first validation step when running GPT with interleaved pipeline parallelism. This first shows up in https://github.com/NVIDIA/NeMo/pull/6049, so it seems that accessing the data loader in middle pipeline stages is the root cause.
**Collection**: NLP
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- Overlap P2P communication between pipeline stages
- Overlap individual send and receive ops
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- 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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Fix batch_size of VAD to 1, since current VAD pipeline only supports one sample at a time during inference.
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} | # What does this PR do ?
Fix typo
**Collection**: [Core]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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Fix typo
**Collection**: [Core]
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} | # What does this PR do ?
Add HAT model as a new joint network type (HATJoint) for RNNT model. The difference is only in decoding time -- HAT.joint.joint returns two outputs: hat_logprobs and internal_lm_logprobs (for internal lm subtraction in case of Shallow Fusion with external n-gram LM).
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} | null | null | null | I have tried to fine-tune my .nemo model for question answering task in my own dataset, but the process have many bugs that I can fix my self.
Here is my code
```
CUDA_VISIBLE_DEVICES=0,1 python ~/dat/NeMo/examples/nlp/question_answering/question_answering.py \
--config-path=conf \
--config-name=qa_conf \
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I've seen that you are using custom implementation of MHA block - https://github.com/NVIDIA/NeMo/blob/da6d825b8c2fec0a3b8e0d2c33a7600f242db4c1/nemo/collections/asr/parts/submodules/multi_head_attention.py#L108
I think it would be better to use `to... | {
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Adds the following:
1. `MegatronUGPTModel` which subclasses `MegatronGPTModel` and overrides dataset building, attention mask changes etc.
2. `UGPTDataset` which subclasses UL2Dataset and implements GPT-specific data processing.
3. Megatron U-GPT pre-training/fine-tuning script and YAML... | {
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When the global seeding is set and controlled by the user, the fully_randomized bucketing uses the same order of buckets on all workers. This PR fixes this seeding bug of the bucketing dataset by adding the rank of data loader to the seed.
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Adds Longformer-style attention for Conformer encoder (limited context + few tokens with full context attention). Unlike with just limited context attention, when using global tokens model needs to be fine-tuned with this approach to get good results. After fine-tuning results are improved p... | {
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} | null | null | null | **Describe the bug**
It's a similar observation to #6084, but since that one is closed and it's slightly different (plus I have some additional information) I'd like to ask again if this is a bug.
I looked at my training loss / batch WER when using bucketing, and found that the loss and WER follow the same patter... | {
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} | # What does this PR do ?
Correct a bug in waveglow model where you used predefined values for the n_fft and hop_length. The commit aims at retrieving the correct values from the preprocessor
**Collection**: tts
# Changelog
- Retrieve the correct n_fft and hop_length values for the waveglow model
# Usage
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I am trying to train a conformer_ctc_bpe (small) model with librispeech960 using four NVIDIA 2080 GPUs (11GB memory).
But, when training model from scratch, I can't reproduce the reported performance with my experimental settings.
Looking at your training details, it seems that a batch size of 2K ... | {
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Update docstrings for asr beam search computation
**Collection**: [ASR]
# Changelog
- Update train kenlm arg
- Update args for beam search eval
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.c... | {
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Fixes a bug in the ASR bucketing which made the training to hang at the end of first epoch.
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# Changelog
- Fixed the bucketing bug by making the bucketing dataloaders to loop over the samples indefinitely.
**PR Type**:
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# Usage
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Update docstrings for asr beam search computation
**Collection**: [ASR]
# Changelog
- Update train kenlm arg
- Update args for beam search eval
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.c... | {
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Flashlight improvements and fixes, also fixed potential VRAM leak in ctc_models.transcribe
**Collection**: ASR
# Changelog
- Set logits to CPU in ctc_models.transcribe
- Changed all `self.decoder.vocabulary` calls in ctc_models to be `OmegaConf.to_container(self.decoder.vocabulary)`... | {
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} | # What does this PR do ?
Fix typos in notebooks
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did you ad... | {
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Fix typos in notebooks
**Collection**: [ASR]
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- [ ] Did you write any new necessary tests?
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add asr evaluator to doc.
[TODO] add asr evaluator to main page once we merge 1.17.0 to main so we had link to doc.
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} | # What does this PR do ?
Fix issue with latest container interaction with Numba RNNT loss
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
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fixes contiguous labels exception in RNNT model training
**Collection**: ASR
# Changelog
in losses/rnnt.py:
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} | # What does this PR do ?
small bugfixes for rng in augmentor and eval_metrics for asr evaluator
add asr evaluator to doc.
[TODO] add asr evaluator to main page once we merge 1.17.0 to main so we had link to doc.
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Bug fixes from https://github.com/NVIDIA/NeMo/pull/6215/
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Allow pre-commit to run.
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 bel... | {
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} | # What does this PR do ?
Adds megatron core support for our T5 model. This only works for pre-training, due to dynamic max lengths in the GLUE/XLNI datasets fine-tuning seems to be broken.
The fix going forward I think will be to pad to the maximum length to ensure the size of sequences are always the same. This... | {
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vad_model = nemo_asr.models.EncDecSpeakerLabelModel.from_pretrained(model_name="langid_ambernet")
and get download error messages:
[NeMo I 2023-03-16 11:50:19 cloud:81] Download from cloud failed. Attempt 1 of 3
[NeMo I 2023-03-16 11:50:20 cloud:81] Download from clo... | {
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} | # What does this PR do ?
fixed code alert https://github.com/NVIDIA/NeMo/security/code-scanning/871
* fixed alert
* removed unused p_voiced argument.
* remove unsued out_lens argument in func get_first-order-features
* remove unused sigma values for infer function
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} | # What does this PR do ?
remove whitelist path.
**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 to use th... | {
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} | # What does this PR do ?
Adds support for changing pipeline parallel version post construction for GPT
**Collection**: [Core, NLP]
# Changelog
- Add new script for pp conversion to avoid breaking old script (should probably be deprecated eventually when new script fully supports all functionality)
- Add som... | {
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} | # What does this PR do ?
Fix diarization result path errors in tutorial notebook
**Collection**:
ASR
# Changelog
- Fixed diarization result path errors and tested notebook again.
# Usage
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} | # What does this PR do ?
remove whitelist path.
**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 ?
Adding interCTC loss to hybrid models. To solve issue that ctc and hybrid models use different names for things that we need (e.g., wer vs ctc_wer), I'm now directly passing all necessary "main" class variables to the interctc_setup method (except for self.cfg). I'm not sure if there is much... | {
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Updates TTS tutorial to point to the IPA dictionary (renamed)
**Collection**: TTS
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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Doc fixes and typos for tutorials
**Collection**: [ASR]
# Changelog
- Fix incorrect line end of ASR adapters
- Fix typos
# Before your PR is "Ready for review"
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Doc fixes and typos for tutorials
**Collection**: [ASR]
# Changelog
- Fix incorrect line end of ASR adapters
- Fix typos
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/m... | {
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} | # What does this PR do ?
When using spawn, the dataloader must have persistent_workers=True, otherwise validation will be very slow (all workers will be reinitialized every validation)
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can p... | {
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} | # What does this PR do ?
Adds the ability to fine-tune Megatron GPT Models.
**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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