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} | # What does this PR do ?
Download hifitts dataset and reformat into ljspeech format.
**Collection**: [Note which collection this PR will affect]
# Usage
```python
python scripts/dataset_processing/tts/hifitts/get_data.py --data-root /home/ovolkovskyi/NeMo/
```
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* Update existing scripts to use meeting config as default
* Add VAD as default in tutorials
**Collection**: Speaker Diarization
# Changelog
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Debug support for interleaved pipeline parallelism with the distributed Adam optimizer.
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Add option to load IPA-based checkpoints for FastPitch and the TTS Aligner.
**Collection**: TTS
# Changelog
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} | Add checking for channels mismatch for audio and noise data, throw an exception if they have different number of channels. Also fixed `perturb_with_foreground_noise` as done in `perturb_with_input_noise`
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Hi
I am trying to run QuartzNet 10x5 model on my dataset of almost 200 hours audio. But the strange thing is I got this error:
```
RuntimeError: CUDA out of memory. Tried to allocate 130.00 MiB (GPU 0; 11.91 GiB total capacity; 10.99 GiB already allocated; 50.38 MiB free; 11.19 GiB reserved... | {
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I m training the speaker model with CN-celeb2 dataset, but no matter what batch_size is used, it still appear CUDA out of memory. Even set batch_size=2, GPU memory will continuously increase until out of memory.
Is any parameter that should be adjusted?
bug info:
`RuntimeError: CUDA out of me... | {
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This is a model for spellchecking ASR customization, scripts for data preparation and description of the pipeline
**Collection**: [Note which collection this PR will affect]
# Changelog
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**Collection**: [Note which collection this PR will affect]
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**Collection**: asr
# Changelog
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} | Signed-off-by: nithinraok <nithinrao.koluguri@gmail.com>
# What does this PR do ?
Fix VAD struck issue temporarily with num_workers=1
**Collection**: [SD, VAD]
# Changelog
- config update
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guideli... | {
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# What does this PR do ?
Adds example L1 tests on Blossom.
L1 tests are the ones which read data from TestData
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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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I only have a dataset with 3Hs of my target accent and I have 2H for train+dev and 1H for valid, and the charset size of it is very small with only 394(It means I have multiple people speaking same lines) (I don't know if this is what causing the problem: poor dataset si... | {
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} | # What does this PR do ?
Adds energy conditioning to FastPitch
**Collection**: [Note which collection this PR will affect]
TTS
# 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 ?
Make Apex's ColumnParallelLinear export friendly
**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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Adds support for Sampled Softmax for RNNT Joint networks via subclass `SampledRNNTJoint`.
Implements the paper [Memory-Efficient Training of RNN-Transducer with Sampled Softmax](https://arxiv.org/abs/2203.16868).
**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]
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* You can potentially add a usage example below
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# What does this PR do ?
It is no problem to run through below after remove the line.
``` bash
In [2]: from nemo.collections.tts.models.base import SpectrogramGenerator
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} | # What does this PR do ?
Fix the error caused by `noise_gain_db = min(data_rms - noise.rms_db - snr_db, self._max_gain_db)` when handling multi-channel audios. The error was that `min(np.array([1,2,3]), 4)` is invalid since `np.array([1,2,3]) < 4` is ambiguous. To fix it, we first check whether the audio is multi-ch... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5212 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5212/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5212/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5212/events | https://github.com/NVIDIA/NeMo/pull/5212 | 1,416,758,682 | PR_kwDOC_bI7s5BM-6s | 5,212 | Update Interface(s) phonetic entry | {
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} | Signed-off-by: Yuekai Zhang <zhangyuekai@foxmail.com>
Add Chinese TTS support with bilingual dataset [SF_bilingual_dataset](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/sf_bilingual_speech_zh_en)
Closed previous #5197 to modify the sign-off info.
@XuesongYang Sorry for the duplicate PR, would you mind ... | {
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The script freezes and hangs when I run transcrible_speech with conformer transducer pretrained models.
I tried to kill the process and re-run it but it has the same behavior.
The terminal stuck like this:
Transcribing: 50%|███▎ | 1/2 [00:05<00:5, 7.54it/s]
Beam search progress::: 29%... | {
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
`nemo.collections.tts.model.base.LinVocoder` is a redundant definition because `nemo.collections.tts.model.base.Vocoder` already defined all functions. The only difference is that `LinVocoder` calls `convert_linear... | {
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# What does this PR do ?
`TextToWaveform` base class, mostly servicing e2e TTS models, is not used anywhere. Deprecate it for now.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line ... | {
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ASR with Speaker Diarization not working for 'stt_en_conformer_ctc_xlarge' on colab GPU (Tesla T4)
**Steps/Code to reproduce bug**
Run the aforementioned colab notebook listed in tutorials on a GPU till the following section 'Run ASR and get word timestamps' included. It should raise an As... | {
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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 fixes the bug in https://nvbugswb.nvidia.com/NvBugs5/SWBug.aspx?bugid=3839247
A couple of functions from `speaker_utils.py` was causing a circular import error.
The function calls are removed and tested training/inference based on `... | {
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} | # What does this PR do ?
Updates the T0 Dataset and Model implementation to use the following:
1. JSONL Text-Memmap datasets (refactored from earlier implementation) + Samples mapping similar to MegatronNMT
2. Megatron Blendable Datasets instead of ad-hoc implementation
3. Megatron batch samplers instead of dis... | {
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**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
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Add Chinese TTS support with bilingual dataset [SF_bilingual_dataset](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/sf_bilingual_speech_zh_en)
**Collection**: TTS
# Before your PR is "Ready for review"
**Pre checks**:
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This is a draft PR of datasets for different audio-to-audio tasks.
**Datasets**
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- `AudioToTargetDataset`: A dataset for audio-to-audio tasks where the goal is to use an input signal to recover the corresponding target signal.
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Added tutorial and inference script for lexical audio P&C model
**Collection**: [nlp]
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The `predict_step` for T5 adapters and IA3 returns a dictionary with different keys (#4746) . This PR updates to the eval scripts to use the new keys.
**Collection**: [NLP]
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Fixes markup issues with github code rendering.
**Collection**: [TTS]
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} | # What does this PR do ?
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**Convert entire clustering module to jit.scriptabe module**: For this purpose, the clustering code employed torch.module class so that clustering system
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I launched the training of a model for the Machine Translation task, using the default [aayn_base.yaml](https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/machine_translation/conf/aayn_base.yaml) config file. Everything seemed to be proceeding correctly, but after 126,218 steps in the third e... | {
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} | # What does this PR do ?
Added the script for scoring and analysis of the adapter experiments.
**Collection**: asr
# Changelog
- Created a new script: `examples/asr/asr_adapters/scoring_and_analysis.py`
- Updated README: `examples/asr/asr_adapters/README.md`
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# What does this PR do ?
In transcribe_speech.py, the `RNNTDecodingConfig` object was being created again thereby overriding the params specified by the user.
**Collection**: asr
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# When loading model
Model stt_zh_quartznet15x5 was not found. Check cls.list_available_models() for the list of all available models.
```
```bash
# When directly trying transcribing
Error executing job with overrides: ['pretrained_name=stt_zh_quartznet15x5', 'audio_dir=****']
T... | {
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Fixes abs paths in GPT Adapter CI tests. Follow-up of #5183
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
update CI tests for T5 to save/load/delete relative paths using `exp_manager.exp_dir`.
**Collection**: [NLP]
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} | …se of use
Signed-off-by: George Zelenfroynd <gzelenfroind@nvidia.com>
# What does this PR do ?
describes new features in documentation
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
ASR
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I followed the tutorial about finetuning FastPitch and Hifigan and changed the code related to generating spectrograms to:
```python
fn=os.path.split(r['audio_filepath'])[1]
audio = load_wav... | {
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} | Signed-off-by: Aleksandr Laptev <alaptev@nvidia.com>
# What does this PR do ?
Fixes [#(5175)](https://github.com/NVIDIA/NeMo/issues/5175) and removes redundant code left after numerous rebases.
**Collection**: ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
*... | {
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My code:
`import nemo`
`import nemo.collections.asr as nemo_asr`
`import pytorch_lightning as pl`
`
`
`from nemo.utils.exp_manager import exp_manager`
`from omegaconf import DictConfig, OmegaConf`
`
`
`params = OmegaConf.load(model... | {
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Exported ONNX graphs retain the names for zero dimensional and one dimensional parameters, but rename any two or more dimensional parameters. This makes writing scripts for later graph manipulation much more tedious and prone to breaking.
**Steps/Code to reproduce bug**
```python3
from ne... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5177 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5177/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5177/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5177/events | https://github.com/NVIDIA/NeMo/pull/5177 | 1,410,463,900 | PR_kwDOC_bI7s5A313M | 5,177 | fix issues with folder names containing nonstandard symbols | {
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} | Signed-off-by: Alexandra Antonova <aleksandraa@nvidia.com>
# What does this PR do ?
fix issues with Spoken Wikipedia folder names containing non-standard symbols
**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 ?
Conditions FastPitch with Energy
**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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# This line will download pre-trained QuartzNet15x5 model from NVIDIA's NGC cloud and instantiate it for you
quartznet = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="QuartzNet15x5Base-En")
AttributeError: module ... | {
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**Describe the bug**
I am using `offline_diar_with_asr_infer.py` to do SD + ASR, but after running, my pred_rttms/aepyx.rttm contains the same speaker id for each row like:
```
SPEAKER aepyx 1 2.360 0.360 <NA> <NA> speaker_0 <NA> <NA>
SPEAKER aepyx 1 2.800 0.400 <NA> <NA> speaker_0 <NA> <NA>
S... | {
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# What does this PR do ?
1. added fastpitch model checkpoint that was trained on hifitts.
2. replaced "single/multiple" speakers with accurate integers.
3. update statistics for hifitts datasets.
**Collection**: [Note which collection... | {
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} | Signed-off-by: arendu <adithya.r@gmail.com>
# What does this PR do ?
Fixes error in t5 bignlp scripts evaluation state.
**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 e... | {
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I am trying to calculate FLOPS of titanet-large model in both ways by code and by analyzing the model architecture
any one can help please ? | {
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} | # What does this PR do ?
Move to using the EMA Optimizer. This improves performance, supports offloading to CPU!
# Changelog
- Move to EMA Optimizer implementation
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA... | {
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from line 113 to 114:
```
labels_exception = [num_to_word(x) for x in range(0, 13)]
graph_exception = pynini.union(*labels_exception)
```
Anyone can help？Thanks a lot | {
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While we try to infer/use a prompt-tuned model we are getting an error "TypeError: megatron_gpt_generate() takes 5 positional arguments but 6 were given"
**Steps/Code to reproduce bug**
We have followed below notebook for prompt-tuning:
https://github.com/NVIDIA/NeMo/blob/main/tutorials/nl... | {
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According to his question, I assume he means NeMo Speaker Diarization + ASR task not using an End-to-End model.
Is that correct... | {
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
Let's make room of CI tests for more active PRs. Reducing to 14 days from 30 inactive days.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high ... | {
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} | Signed-off-by: smajumdar <titu1994@gmail.com>
# What does this PR do ?
Adds torchscript export to Squeezeformer
**Collection**: [ASR]
# Changelog
- Add torchscript export testing
- Add torchscript export for Squeezeformer
# Before your PR is "Ready for review"
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# What does this PR do ?
Fixes the failing test on main regarding BF16. Thanks @ericharper
# Changelog
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# Usage
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Add the inference server web UI.
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# What does this PR do ?
Adds support to hydra multirun to NeMo core.
**Collection**: [ASR, Core]
# Changelog
- Usage is similar to normal hydra script call, just the config should have some additional sections to setup multirun and you must use `-m` flag wh... | {
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# What does this PR do ?
This PR adds a tool for generating a dataset using RIRs, speech, and noise.
**Collection**: ASR
# Changelog
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- Added unit tests in `tests/collections/asr/test_asr_data_simulat... | {
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New speaker adaptation using adapters in TTS FastPitch model.
**Collection**: [Note which collection this PR will affect]
TTS collection
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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# What does this PR do ?
Fixes checkpoint loading if `exp_manager.checkpoint_callback_params.dirpath` is specified.
**Collection**: Utils
# Changelog
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Current Eval Dataloader gives incorrect len #4808
Fix NMT Eval Sampler to get correct dataset
**Collection**: NMT
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Fix some minor errors and spacing errors in speaker diarization docs.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
This is documentation.
# Before your PR is "Ready for... | {
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} | Add perceiver based universal prompt encoder.
Add the inference server web UI.
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I've got an issue and was wondering if you could help me.
My goal: reducing the time of diarization if an audio file is longer than 10 minutes.
My manifest json file:
> 'audio_filepath': /home/audio_file.wav,
> 'offset': 0,
> 'duration': 600,
> 'label': 'infer',
> 'text': '-',
> 'num_spe... | {
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} | null | null | null | Hi, I'm facing issues with finetuning titanet-large model. The loss goes to nan/inf in epoch 0 at the end and doesn't improve from there in the later epochs.
Epoch 0: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 150452/150452 [6:4... | {
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**Describe the bug**
before install Nemo , I installed: torch-1.12.0a0+2c916ef.nv22.3-cp38-cp38-l... | {
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} | Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>
# What does this PR do ?
Adding the Speech Dataset Processor tool.
**Collection**: Tools
# 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... | {
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} | # What does this PR do ?
1. Fix the Global init step.
2. Add a workaround for the issue https://github.com/NVIDIA/apex/issues/1493 | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Fixes some args that were not removed properly for multilingual megatron NMT.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Update and remove unnecessary parts in `get_samples` function. "int" type setting is no longer needed.
Removed `get_samples` function from [decoder_timestamps_utils.py](https://github.com/NVIDIA/NeMo/pull/5141/files#diff-6e1688943c976f39bdee5fed0c8948f57c88411cfb69548b7fece4b9f7720912) s... | {
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# What does this PR do ?
- Added CI tests for GPT based IA3 training and inference.
**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/ma... | {
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} | # What does this PR do ?
Merge bugfixes and doc updates from code frozen branch to 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 below
```python
# Add a... | {
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# What does this PR do ?
Scripts for converting Spoken Wikipedia to an asr dataset (download, preprocessing, ctc-segmentation, filtering).
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of ... | {
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* fix asr api bug.
* fix broken links.
* fix unexpected indentation errors.
* fixed unexpected indentation.
* fixed broken paper reference.
* fixed cross-references and typos.
* fixed toctree errors.
* removed duplicate references.
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When I stopped fine-tuning the FastPitch model and wanted to restart training, I noticed it checks for the last checkpoint in the wrong directory (I'm settings the checkpoints directory outside of the logs).
So, in my case the checkpoints are being saved at `models/fastpitch/checkpoints` but it... | {
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} | Signed-off-by: Ryan <rlangman@nvidia.com>
# What does this PR do ?
Add a Spanish language tokenizer for doing grapheme-only TTS training.
**Collection**: [TTS]
# Changelog
- Add SpanishCharsTokenizer
- Add unit tests for English, German, and Spanish grapheme tokenizers.
# Usage
```python
from nemo... | {
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} | # What does this PR do ?
Adds global batch size and O2 support for bert model
**NLP**:
# Changelog
- Add global batch size support
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready for review"
**P... | {
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} | # What does this PR do ?
Fix for concat map dataset #5117
Only caveat I know of is that it will not reshuffle each epoch when using round robin. I'm not sure if anyone actually uses round robin in practice, though.
# Usage
```python
from collections import defaultdict
import torch
from pytorch_lightnin... | {
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but my val_loss is not normally
I continued this training till 300 epochs but my val_loss was not ... | {
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... | closed | false | null | [] | null | null | 2022-10-10T18:58:36 | 2022-11-10T05:10:25 | 2022-11-10T05:10:25 | NONE | {
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} | null | null | null | Hi, all!
Trying to learn a Squeezeformer-S using bf16 precision, but I got **~15 s/it**. But everything is fine learning Conformer with the same number of params with bf16 (got **~3 s/it**) . Also everything goes well using fp16 training with both models (**~3 s/it**). So with all above, I expect Squeezeformer-S to be... | {
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} | null | null | null | Are there any parameter to set max segment duration? I saw some segments can be so long. And when i listened to wav, i can see that there is some silence part. However, VAD does not split these areas.
For example;
```
{"audio_filepath": "/media/mesut/Tosun/ses/NeMo/tools/asr_webapp/arda.wav", "offset": 0.73, "durati... | {
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} | null | null | null | **Describe the bug**
Squeezeformer model succesfuly exported
But after running on Squeezeformer.encoder.input_example t producess dimmentions mismatch error
**Steps/Code to reproduce bug**
```
python
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.EncDecCTCModelBPE.from_pretrained(mode... | {
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} | Signed-off-by: 彭震东 <275331498@qq.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usag... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5126 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5126/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5126/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5126/events | https://github.com/NVIDIA/NeMo/pull/5126 | 1,402,005,334 | PR_kwDOC_bI7s5Ab6sm | 5,126 | fix optim for new pytorch version | {
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} | Fix the same issue as mentioned in https://github.com/pytorch/pytorch/issues/80809 so the training can be resumed. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5125 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5125/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5125/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5125/events | https://github.com/NVIDIA/NeMo/pull/5125 | 1,401,955,342 | PR_kwDOC_bI7s5AbxXW | 5,125 | Changed the URL for the Mozilla S3 bucket | {
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} | Signed-off-by: Maicon Domingues [dominguesm@outlook.com](mailto:dominguesm@outlook.com)
# What does this PR do ?
Changes the URL used to download Common Voice datasets, thus allowing the latest versions to be downloaded in any language.
**Collection**: asr
# Changelog
The change allows any version and l... | {
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