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```
Traceback (most recent call last):
File "/opt/conda/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 721, in _c... | {
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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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} | # What does this PR do ?
Adds the ability to fine-tune to T5 models on generic and small text-to-text datasets provided a two separate text files (one for source and one for target).
**Collection**: NLP
# Changelog
- Create a new MegatronT5FinetuneModel class that inherits from MegatonT5Model. MegatronGLUEMo... | {
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} | # What does this PR do ?
This adds a tutorial notebook on how to use p-tuning and prompt-tuning within NeMo. It also updates the NeMo Documentation page and adds some example data preprocessing scripts.
**Collection**: BigNLP
# Changelog
- Add Multitask prompt and p-tuning notebook
- Add squad, intent and sl... | {
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# What does this PR do ?
Adds the ability to use Huggingface Hub to load pretrained models. **This includes publically published models from any user that uploads their model to the hub - so it enables public contributions to NeMo from the community**.
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} | # What does this PR do ?
fix itn vi tests, contributed by @binh234 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4028 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4028/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4028/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4028/events | https://github.com/NVIDIA/NeMo/pull/4028 | 1,208,936,536 | PR_kwDOC_bI7s42dHzT | 4,028 | refactor tn data folder, and update of measure | {
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} | Signed-off-by: Yang Zhang <yangzhang@nvidia.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
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Exemplifying better:
My problem is that I can only guarantee the maximum number of speakers within these audios, I have no way of knowing if the audio will co... | {
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**Collection**: All
# Changelog
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# Usage
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* exp_manager.log_global_rank_0_only: Fals... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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```python
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# What does this PR do ?
This PR fixes the type casting issue in nmesc_clustering.py. With torch.jit.script decorator, torch.tensor should always strictly match the type when assigining/changing a variable. Without this fix, in some cases torch.jit compiler returns a... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4022 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4022/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4022/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4022/events | https://github.com/NVIDIA/NeMo/pull/4022 | 1,207,124,453 | PR_kwDOC_bI7s42XZow | 4,022 | Fixing pretrained name | {
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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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I am training a model in TalkNet. Before start training the spectrogram I created the durations.pt and f0s.pt
After that I started training the spectrogram with talknet_spect.py from examples folder.
When talknet_spect.py process N epochs it works well.
The training crashes when start a validation an... | {
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- Fix errors in Cardinal FST, Decimal FST, and Time FST
- Change Date and Time verbalizers
- Update test cases
# Before your PR is "Ready for review"
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} | # What does this PR do ?
Fix the shape mismatch when doing broadcast, which causes logprob returns bad numbers.
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After pull new git changes something is not working properly.
The way to reproduce the error is the next one:
from nemo.collections.asr.models import EncDecCTCModel
asr_model = EncDecCTCModel.from_pretrained(model_name="asr_talknet_aligner").cpu().eval()
After executing this code it will crash with ... | {
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} | Signed-off-by: Anurag Dixit <a.dixit91@gmail.com>
# What does this PR do ?
Adds a QAT finetuning workflow for ASR models.
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 ... | {
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} | null | null | null | @borisfom As per comment https://github.com/NVIDIA/NeMo/issues/3619#issuecomment-1089551439, I'm re-opening the bug as the issue persists with `nemo:22.01` (1.7.1), `nemo:1.7.2` and `nemo:1.9.0rc0` (e4ee26b601a8e6f907f926019367d3d545c62f11) combined with `Riva:2.0.0`. I tried both by starting off with `nemo:22.01` and ... | {
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} | Signed-off-by: Alexandra Antonova <aleksandraa@nvidia.com>
# What does this PR do ?
A new tagger-based model for inverse text normalization
**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 ?
Critical: Fix single GPU training issue
Also, change deprecated Lightning args
**Collection**: Core + most others
# Changelog
The PR changes:
`num_process` --> `devices`/`num_devices`
`num_gpus` --> `num_devices`
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
Adds a method to NMT to apply ITN/TN before/after translating text.
**Collection**: NLP
# Changelog
- Adds an itn_translate_tn method to `mt_enc_dec_model`.
# Usage
```python
inverse_normalizer = InverseNormalizer(lang="en")
normalizer = Normalizer(input_case="cased", lang="d... | {
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} | # What does this PR do ?
AudioToCharWithDursF0Dataset class will be deprecated so this PR adds code and config to use old FastPitch checkpoint (checkpoint that was trained using AudioToCharWithDursF0Dataset class which is now deprecated) with new code (TTSDataset) to support inference.
**Collection**: tts.models.... | {
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# What does this PR do ?
update changed function name in notebook
**Collection**: ASR
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Adds support for fine-tuning BART models.
**Collection**: NLP
# Changelog
- Checkpoint to nemo converter addition for BART.
# Usage
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**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/... | {
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As per https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#conformer-ctc
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compatibility with MCV versions 2 through8
**Collection**: ASR
# Changelog
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Nemo megatron models were not properly registering artifacts for the tokenizer.
**Collection**: NLP
# Changelog
- Update register_artifact calls
-
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} | # What does this PR do ?
Update NeMo docs
**Collection**: [Docs]
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
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} | # What does this PR do ?
Moves the override to `load_state_dict()` from TalkNet (which doesn't need it) to EncDecCTCModel for compatibility with the TalkNet Aligner checkpoint. Related ISSUE: https://github.com/NVIDIA/NeMo/issues/4015
This should be removed in 1.9.0 when the TalkNet Aligner model is deprecated.
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**Collection**: [Note which collection this PR will affect]
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**Collection**: ASR
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Adds a configurable parameter to apply log softmax on output logits for RIVA support
**Collection**: [Note which collection this PR will affect]
nlp/models/token_classification/punctuation_capitalization_model.py
# Before your PR is "Ready for review"
**Pre checks**:
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Notebook bug fixes for nv-bugs:
https://nvbugswb.nvidia.com/NVBugs5/redir.aspx?url=/3596793 [ML-NeMo][A30] Text_Classification_Sentiment_Analysis.ipynb failed with ConfigAttributeError: Key 'model' is not in struct
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On-going TN refactoring for TTS
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# What does this PR do ?
Fix inner type checking system for outputs to be compatible with named tuples.
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} | # What does this PR do ?
Fixes a minor NMT variable passing bug.
**Collection**: NLP
# 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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# What does this PR do ?
Fixes #3982, where get_samples passes int16 to librosa.core.resample instead of float32.
**Collection**: ASR
# Usage
```python
from pydub import AudioSegment
from nemo.collections.asr.parts.utils.decoder_timestamps_utils import get_... | {
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} | null | null | null | **Describe the bug**
nemo.collections.asr.parts.utils.decoder_timestamps_utils.get_samples fails if the audio file's original sample rate differs from the target sample rate.
`ParameterError: Audio data must be floating-point`
**Steps/Code to reproduce bug**
```python
from pydub import AudioSegment
from n... | {
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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
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# Usage
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# What does this PR do ?
This PR creates a 2-hierarchy YAML configuration.
The goal is to make sure that updates to config that are shared between all megatron models are affecting all relevant models.
**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
Fix path to creation of tarred dataset script in docs
**Collection**: docs
# Changelog
- Path location
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelin... | {
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# What does this PR do ?
Overrides `load_state_dict` for four TTS models (to be deprecated in 1.9.0) such that they work with old NGC checkpoints, plus minor tutorial fixes/updates.
**Collection**: TTS
# Changelog
- Removes `forward_basis` and `inverse_ba... | {
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Adds the ability to restore from a T5/BART model and fine-tune it for NMT. With tarred datasets only.
**Collection**: NLP
# Changelog
- Fixes issues with rebasing to the Encoder-Decoder PP changes.
- Overrides the pre-training config with NMT-related things.
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Running pip install nemo_toolkit['all'] fails at installing mecab-python3==1.0.3 for python version 3.10.
As per mecab documentation 1.0.5 is python 3.10 compatible
**Steps/Code to reproduce bug**
On a system with python 3.10 installed do:
python3 -m venv venv
source ven/bin/activate
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The notebook is complaining about Trainer `misconfiguration` error because it tries to spawn processes in the python interactive session. Fixed it by using torch elastic environment. | {
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I am trying to convert marblnet to onnx format. Compared to torch outputs, onnx outputs are slightly different.
Did you check that onnx and torch outputs are exactly the same? | {
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} | # What does this PR do ?
Adds to option to remove exclude terms from megatron transformer weight matrices.
**Collection**: NLP
# Changelog
# Usage
* Change yaml config to
```
bias: False
bias_gelu_fusion: False
bias_dropout_add_fusion: False
```
# Before your PR is "Ready for review"
**Pre chec... | {
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} | # What does this PR do ?
Fix tensor parallel variable name and move models to CPU in Change partition
Sidenote: Looks like Megatron models disregard the accelerator mentioned in the trainer. To work things for now, this script manually moves model to CPU
**Collection**: NLP
# Before your PR is "Ready for revi... | {
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} | # What does this PR do ?
Fix tensor parallel variable name and move models to CPU in Change partition
**Collection**: NLP
# 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 yo... | {
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add special text support | {
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} | # What does this PR do ?
1. Fixes the condition for verifying if val check interval is too small.
2. Does not load train data when running trainer.validate or trainer.test
3. Fixes an error in glue_eval
**Collection**: NLP
# Changelog
# Usage
N/A
# Before your PR is "Ready for review"
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# What does this PR do ?
Fixes some execution errors for the training notebook (in Colab) by adding & pinning installs.
**Collection**: TTS
# Changelog
- Pynini pinned to version 2.1.4 (needed for training)
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} | null | null | null | Start off with `nemo:22.01` container, install `riva_quickstart_v2.0.0` (`riva_api` and `nemo2riva`), download `stt_en_conformer_ctc_large_1.6.0` from ngc and unzip it.
Running `nemo2riva --out stt_en_conformer_ctc_large.riva stt_en_conformer_ctc_large.nemo` gives the following output
```
INFO: Logging level set ... | {
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Reapplies the changes made in #3954 that were overwritten by 1.8.0 merge.
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**Collection**: ASR
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The function `pre_calculate_supplementary_data` fails when running _FastPitch_MixerTTS_Training.ipynb_ on Colab.
**Steps/Code to reproduce bug**
Open https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/FastPitch_MixerTTS_Training.ipynb on Colab, then run all the cells. It should fail he... | {
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} | null | null | null | Hi, Thanks for your excellent tutorial. Refer to [Citrinet paper](https://arxiv.org/abs/2104.01721), you got WER in 3 modes: without language model, with language model(6-gram and Transf). How can I assign a language model to Citrinet1024. I started fine-tuning Citrinet1024 with the Persian audio dataset. | {
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**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 ?
Many megatron configs had `trainer.max_epochs: null`. This resulted in PTL setting `trainer.max_epochs=-1` which means an infinite dataset but our datasets are not infinite.
This was causing problems when resuming training with GPT.
**Collection**: NLP
# Changelog
- Update configs... | {
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} | # What does this PR do ?
Fixed fast pitch for 22.03
**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: smajumdar <titu1994@gmail.com>
# What does this PR do ?
Fixes a segfault in nemo ASR models due to hydra / omegaconf access during DDP.
**Collection**: [ASR]
# Changelog
- Add new flag and method to pre-allocate the value of the check
- Update skip_nan_grad code to support global DDP acces... | {
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} | Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
# What does this PR do ?
Clarifications to the FastPitch fine-tuning notebook regarding how to improve speech quality by generating synthesized mels; added missing instructions for adding more data/multiple speakers for FastPitch.
**Collection**: TTS
# Change... | {
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} | null | null | null | I'm running Tacotron2 on custom dataset and this error pops on, any idea what to do:
`[NeMo W 2022-04-07 13:27:18 optimizers:55] Apex was not found. Using the lamb or fused_adam optimizer will error out.
################################################################################
### WARNING, path does not exi... | {
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I am following the ASR with speaker diarization on some wav files. It fails on some files giving the following error.
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} | # What does this PR do ?
Implements the ReGLU and SwiGLU activations for Megatron-based transformers from https://arxiv.org/abs/2002.05202
**Collection**: NLP
# Changelog
- Changes `ParallelMLP` to add new activation functions.
# Usage
* Edit the `activation` in `megatron_t5_config.yaml` to `swiglu` or `... | {
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# What does this PR do ?
Fix librosa deprecations
**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 y... | {
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Fix 22.03 fastpitch export (WAR around PyTorch export bug).
Also, works around new export issues brought from updated Apex (will be submitting an issue report there, but the WAR is need in the meantime).
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Fixed the biomegatron model NGC link error.
`get_lm_model` can get biomegatron model through model names.
Fix the biomegatron notebooks to directly load the biomegatron from NGC.
Fix the MegatronLM ckpt conversion error.
Fix the typos in synthetic data generation notebook.
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Adds rampup batch size to NeMo Megatron GPT. Scales the batch size linearly from starting batch size to global batch size by a batch size increment over a number of consumed samples.
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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
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} | null | null | null | Hello! 👋🏻
I'm trying to implement a script which allows me to train models from scratch or to use pre-trained ones (.nemo files or from the cloud) accordingly to the given **config file**.
The goal here is to either train models for the European Portuguese language from scratch, to transfer from the pre-trained ... | {
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running BERT_large = BERTLMModel.from_pretrained("bertlargeuncased") with error:
FileNotFoundError: src path does not exist or it is not a path in nemo file. src value I got was: /home/yzhang/data/nlp/bert/pretrained_models_google/uncased_L-24_H-1024_A-16/bert_config.json. Absolute: /home/yzh... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3942 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3942/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3942/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3942/events | https://github.com/NVIDIA/NeMo/pull/3942 | 1,194,035,089 | PR_kwDOC_bI7s41tB6- | 3,942 | NeMo Adapters Support + ASR Adapters | {
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} | # What does this PR do ?
Adds support for post-trained Adapter modules to any model that supports it.
**Collection**: [ASR]
# Changelog
- Adds `AdapterModuleMixin` that is the core framework on which the layered Adapter framework works
- Adds 3 level API for propagating and storing config information of ada... | {
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} | # What does this PR do ?
Fixes the length of TarredSentenceDataset with shard strategy as scatter.
**Collection**: NLP
# Changelog
- Divide num batches by world size for the total length.
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contri... | {
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https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/tts/Inference_DurationPitchControl.ipynb
an error has been made.
instead of:
# Load the models from NGC
fastpitch = FastPitchModel.from_pretrained("tts_en_fastpitch").eval().cuda()
hifigan = HifiGanModel.from_pretr... | {
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} | null | null | null | We have successfully trained a Conformer CTC BPE L model (non-English) with a very good WER in the lower teens mark. There is one peculiar thing that is happening though. The model is dropping numbers, interestingly not always and mostly dates. Especially if more are spoken in succession as part of a sentence. I have f... | {
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} | # What does this PR do ?
Fixes the global batch data fetcher for T5 Glue.
**Collection**: NLP
# Changelog
- Remove FitLoop abstraction
- Update data fetcher in T5 Glue LightningModule hooks.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to u... | {
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} | null | null | null | **Describe the bug**
This Nemo model:
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_en_citrinet_1024
When build and deploy with Riva 1.10.0-beta (offline config) fails with:
```
2022-04-05 05:08:47,705 [INFO] Writing Riva model repository to '/data/models'...
2022-04-05 05:08:47,705 [INFO] Th... | {
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} | # What does this PR do ?
[NLP] bug fixes for duplex model
**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... | {
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} | # What does this PR do ?
Tutorial for inference and training of multilingual ASR models
**Collection**: ASR
# Changelog
- Adding the jupyter notebook and a link to it in the readme
# Usage
* You can potentially add a usage example below
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} | Signed-off-by: Taejin Park <tango4j@gmail.com>
# What does this PR do ?
This PR replaces the numpy based functions with torch based functions in VAD-Diarization pipeline. This conversion is motivated for easier conversion from NeMo system to Riva production system. Most of the functions in vad_utils.py and nmesc_... | {
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} | # What does this PR do ?
Fixes the bug preventing the user from being able to turn off log_prediction in RNNT models
**Collection**: ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
- one line change checking to see whether wer.log_predictions = True before turning them on
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} | # What does this PR do ?
AudioToCharWithDursF0Dataset class will be deprecated so this PR adds code and config to use old FastPitch checkpoint (checkpoint that was trained using AudioToCharWithDursF0Dataset class which is now deprecated) with new code (TTSDataset) to support inference.
**Collection**: tts.models.... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3927 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3927/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3927/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3927/events | https://github.com/NVIDIA/NeMo/pull/3927 | 1,192,338,556 | PR_kwDOC_bI7s41nWka | 3,927 | Refactor restorefrom | {
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} | # What does this PR do ?
Reduce code duplications in restore_from overridden in NLP
Reorganize export files in script/export/
**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 usa... | {
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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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