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} | # What does this PR do ?
Added the following features:
1. Allow the model to load from the unpacked nemo file
2. Remove LM model weights from optimizer
3. It can apply various activation checkpoint optimizations to the large LM
4. When Pytorch Lightning restore the model, the weights are in fp32 format for s... | {
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} | # What does this PR do ?
When saving a checkpoint and the validation check interval isn't divisible by the number of batches, we can miss saving the final checkpoint. This ensures we save the final checkpoint.
I've noticed that the epoch saved in the checkpoint is incremented. Not sure if this will be an issue, b... | {
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} | Signed-off-by: Ryan <rlangman@nvidia.com>
# What does this PR do ?
Extends the IPATokenizer and PhonemizerTokenizer classes so we can do mixed-representation grapheme/phoneme training for non-English languages.
**Collection**: [TTS]
# Changelog
- Add phoneme_probability argument to PhonemizerTokenizer, wi... | {
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Is there a model or something to identify spoken language? For example, how to identify whether a speaker speaks English or Russian.
I looked for it in the tutorials and found nothing.
I will appreciate any help | {
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
fixed wrong g2p path. Previously in https://github.com/NVIDIA/NeMo/pull/4690, g2p modules were moved to `nemo_text_processing.g2p.modules`.
**Collection**: [Note which collection this PR will affect]
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
LGTM.com detected 100 ish unused imports. Clean up to remove those warnings.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Generalize distributed Adam support for GPT-3 to T5 and other Megatron-LM models. It also implements several performance optimizations.
**Collection**: NLP
# Changelog
- When params are BF16, distributed Adam will store 16-bit param remainders instead of FP32 main params
- Decouples d... | {
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} | # What does this PR do ?
Fix bug in documentation
**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
```
# Before your PR is "Ready f... | {
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Documentation bug fix.
**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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# 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
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MLFlow is already a dependancy in Pytorch Lightning, so some small changes enables MLFlow tracking, a free alternative to WnB.
**Collection**: utils
# Changelog
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# Usage
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Writes T5 prompt learning prediction file with utf-8 encoding.
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**Collection**: NLP
# Changelog
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# Usage
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- Removed AUROC metric since it's slow and cost a lot of memory to store the logits&labels.
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- Refactored validation and test function since they share the same code but just different tags in display ("val_" vs. "test_... | {
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I used NeMo to train a Mandarin ASR model (QuartzNet), and then I converted it to .rmir format through the tutorial.
I deployed .rmir to riva (I only have this model enabled), but the client cannot successfully call the ASR model on the server side, there will be the following error

Domain: ASR
title: Speaker Recognition and Verification
It's no problem before cell [20]
cell [20]:
`trainer.fit(speaker_model)`
bug:
```
INFO:pytorch_li... | {
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# What does this PR do ?
This PR Fixes the output of BERT to be [batch x seq x hidden] instead of [se x batch x hidden]
**Collection**: [Note which collection this PR will affect]
# Changelog
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Add a one line overview of what this PR aims to accomplish.
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# What does this PR do ?
Fixes bugs in Megatron NMT due to incorrect split rank in the checkpoint file and split rank in ckpt->nemo conversion.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this ... | {
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I trained a MT model following the example from `enc_dec_nmt.py`, so far all good. Now I'd like to load one of the checkpoints generated from this training, keep training the model weights, but restarting the optimizer / LR / global trainer step / etc. I've tried different approaches, but in all cases the traini... | null | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4882 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4882/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4882/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4882/events | https://github.com/NVIDIA/NeMo/issues/4882 | 1,363,283,827 | I_kwDOC_bI7s5RQg9z | 4,882 | Conformer Transducer - Call to cuLaunchKernel results in CUDA_ERROR_INVALID_VALUE | {
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Error while training conformer transducer bpe ASR model.
**Steps/Code to reproduce bug**
Use the attached config and initiate the training. After a few steps before epoch completion the following
`Call to cuLaunchKernel results in CUDA_ERROR_INVALID_VALUE` error occurs and the training get... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4881 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4881/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4881/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4881/events | https://github.com/NVIDIA/NeMo/pull/4881 | 1,363,062,737 | PR_kwDOC_bI7s4-bZoP | 4,881 | Changes to MSDD code after review, fix test log call | {
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} | # What does this PR do ?
Going through the MSDD code I noticed a few off the bat code changes to be made + fix the `self.log` call in the multi_test function.
cc @tango4j @nithinraok
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://... | {
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} | null | null | null | Hi,
I am trying to train a TTS model (mixertts+univnet). the dataset contains male speakers voices.
Is there a parameter that needs to be changed to train these models with male speakers voices? Because the tone of the output voices are not very good.
Thanks in advance. | {
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# one case in my dataset json file is:
`{"audio_filepath": "./wav/4.wav", "duration": 5.6750625, "is_phoneme": 1, "original_text": "gAme sevvOm d%r b/rnamerizI | $enAxte moqe@iyy%te fe@lIye hozE @%st | ", "normalized_text": "gAme sevvOm d%r b/rnamerizI | ... | {
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Hi everyone, I want to train an ASR model (Conformer_CTC_bpe) in Mandarin.
I generated vocab.txt using "process_asr_text_tokenizer.py", modified "/conf/conformer/conformer_ctc_bpe.yaml" and executed "examples/asr/asr_ctc/speech_to_text_ctc_bpe.py".
but got a TypeError
`TypeError("__init__() got... | {
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>>> trainer = pl.Trainer(strategy='dp', gpus=4, max_epochs=1)
GPU available: True, used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available: False, using: 0 HPUs
>>> trainer.fit(quartznet)
RuntimeError: Caught RuntimeError in replica 1 on device 1.
Original Trac... | {
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} | # What does this PR do ?
After speaking to @nithinraok a few places do not have sync calls when logging (some are taken care off by the underlying Metrics, or they are already synced across processes like global steps).
I've been a bit cautious and not touched the return objects from `validation_step` or `test_st... | {
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} | null | null | null | Trained Conformer-CTC on BPE tokens, tried to make a prediction based on kenlm. But all the predictions turned out to be just nonsense from one word.
As I understand it, this is due to the fact that models on BPE tokens return an underscore instead of a space.
Tell me, can this problem be somehow elegantly solved i... | {
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} | Signed-off-by: ekmb <ebakhturina@nvidia.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... | {
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} | # What does this PR do ?
This PR adds tools for generating multi-channel microphone signal approximately matching the desired spatial coherence
**Collection**: ASR
# Changelog
- Adds functions for generating an approximate noise field
- Unit tests for spatial coherence calculation and noise generation
# ... | {
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} | Fix uppercasing bug that led to heteronyms list mismatch, bad path in IPA FastPitch config
Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
**Collection**: TTS
# Changelog
- The IPA G2P class uppercases words by default (to avoid IPA symbol conflicts), but they would not match anything in the lowercased h... | {
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} | null | null | null | **Describe the bug**
Using the main branch of Nemo and TTS inference with Fastpitch and Hifigan / German single speaker model results in bad audio.
**Steps/Code to reproduce bug**
git clone https://github.com/NVIDIA/NeMo/
cd NeMo
python3.8 -m venv venv
source venv/bin/activate
pip3 install a-lot-of-miss... | {
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} | null | null | null | Can you please tell me why the learning rate does not change when the fine-tuning model is launched?
```python
cfg = OmegaConf.load("conformer_ctc/config.yaml")
trainer = pl.Trainer(
logger=logger,
**cfg.trainer,
callbacks=[
model_checkpoint_callback
]
)
model = nemo_asr.models.EncDecC... | {
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fix mha | {
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} | # What does this PR do ?
Small error when referring to the available models. This isn't tested yet since no models are yet available for MSDD, but I think soon @tango4j will introduce them!
# 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 ?
Adds a script to streamline downloading/parsing AMI. @tango4j suggested adding microphone array audio as well, just need to figure out how to format this.
**Collection**: ASR
# Changelog
- Add script to download the AMI dataset for Speaker Diarization
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when training ASR with Transducers and leaving
**freq_masks: 2
time_masks: 10**
instead of zeroing them out an error occurs

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} | # What does this PR do ?
fix bug in multi head attention forward function
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} | # What does this PR do ?
When going through the code saw a couple of missing types in the class, doesn't hurt to add them.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did ... | {
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**Nemo model training** **:**
Model : citrinet_512
Tokenizer : subword (bpe of sentence piece tokenizer)
Language model : Kenlm 3 gram
language : Filipino
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when I change min duration to let's say 1.6 sec
I get errors like
RuntimeError: shape '[8, 44, -1]' is invalid for input of size 143360
RuntimeError: cannot sample n_sample > prob_dist.size(-1) samples wi... | {
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For few audio file has this error when calling speaker diariation function, Error Message as below:
Error:cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling cusolverDnSsyevd(handle, jobz, uplo, n, A, lda, W, work, lwork, info)
**Steps/Code to reproduce bug**
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
- Adds support to optionally train CTC decoder jointly with RNN-T model (encoder is shared)
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high lev... | {
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} | # What does this PR do ?
adds rnnt model
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a c... | {
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} | Signed-off-by: George Zelenfroind [gzelenfroind@nvidia.com](mailto:gzelenfroind@nvidia.com)
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
Adds links to Belarusian models (ctc and rnnt conformer large)
**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
Adds feature of comparing to models to SDE
And adds new way of transcribing audio - add new transcripts to existing JSON file
Add a one line overview of what this PR aims to accomplish.
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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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} | # What does this PR do ?
Adds MLP option for prompt learning encoder
**Collection**: NLP
# Changelog
- Updates Prompt Encoder class
- Updates GPT Prompt Learning Model Class
- Updates Base Prompt Learning Model Class
# Usage
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# What does this PR do ?
Fixes a bug with decoding from Enc-Dec models with RPE.
**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 ?
Add training script and config (titanet) for spoken language identification.
**Collection**:ASR
# Changelog
- Calculate weight for using weighted cross entropy for imbalanced training set.
- Add val_acc_macro and val_auroc for model selection. Support test_acc_macro and test_aucro ... | {
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# What does this PR do ?
This PR aims to fix a few small issues in the ASR with NeMo tutorial.
**Collection**: ASR
# Changelog
- check if `data_dir` exists and create if necessary
- prepend `data_dir` to `paths2audio_files`
- check if the expected config file exists and download if necessary
# Usage
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Conformer model cannot be loaded when loaded on CPU.
There an unclear `RuntimeError`:
```
Traceback (most recent call last):
File "bug_nemo.py", line 12, in <module>
ts_model = torch.jit.load(f"/tmp/{model_name}.pt")
File "/opt/conda/lib/python3.8/site-packages/torch/jit/_serializ... | {
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# What does this PR do ?
Fixes a bug that prevented doing GLUE fine-tuning eval.
**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 ?
Parallel adapter did not perform as well initially.
**Collection**: [NLP]
# Changelog
- Config now lets you select the type of initialization for ColumnLinear.
# Usage
* See #4717
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed ... | {
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Hi! I'm wondering why `.float()` is here. It seems like it will break code if both model parameters and input in float16 | {
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# What does this PR do ?
When going through the examples I saw these small spelling mistakes.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTR... | {
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https://github.com/NVIDIA/NeMo/blob/main/reinstall.sh#L27
This should check if conda is active (` [ -n "${CONDA_PREFIX}" ] `) rather than if conda is present (` [ -x "$(command -v conda)" ]
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Ref: https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
If co... | {
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# What does this PR do ?
1. Updates squad preprocessing script and adds squad metric calculation script
2. Updates prompt learning inference script to write prediction to file
3. Turns off sequence parallel for GPT models trained with it
**Collection**: NLP
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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.
**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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'augmentor': {'noise': {'prob': 0.1, 'manifest_path': '/rir_noises_tarred/noises_20s_tarred/tarred_audio_manifest.json', 'audio_tar_filepaths': '/rir_noises_tarred/noises_20s_tarred/audio_{0..255}.tar', 'min_snr_db': 0, 'max_snr_db': 30}, 'transcode_a... | {
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} | # What does this PR do ?
Update TN and ITN for ES to 2.0, add en_in (EN International, current Riva EN ITN 2.0)
**Collection**: nemo_text_processing
# Changelog
Add en_in ITN (current Riva EN ITN 2.0)
Update ES for TN and ITN to 2.0
**PR Type**:
- [X ] New Feature
- [X ] Bugfix
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# What does this PR do ?
Remove warnings from core and ASR code. NLP part needs more rework than expected.
**Collection**: Core, ASR
# Changelog
- [x] weights_save_path has been removed
- [x] Some changes on ptl self.log sync_dist = True
- [x] t... | {
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Adds "mean" and "mean_volume" loss normalization options to RNNT Joint
**Collection**:
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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German fastpitch model refers to non existing tokenizer
**Steps/Code to reproduce bug**
git clone https://github.com/NVIDIA/NeMo/
cd NeMo
python3.8 -m venv venv
source venv/bin/activate
pip3 install a-lot-of-missing-requirements when executing
python3 tts_german.py where inference cod... | {
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} | # What does this PR do ?
Adds instancenorm as an option for conv normalization
**Collection**: ASR
# Changelog
- nemo/collections/asr/parts/submodules/conformer_modules.py - accept `instance_norm` as an accepted config parameter value for ```model.encoder.conv_norm_type```
# Usage
* In config file, set ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4826 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4826/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4826/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4826/events | https://github.com/NVIDIA/NeMo/pull/4826 | 1,352,935,436 | PR_kwDOC_bI7s495wmI | 4,826 | [Chinese text normalization]Chinese TN part in text_normalization | {
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} | This PR continues https://github.com/NVIDIA/NeMo/issues/4543 & https://github.com/NVIDIA/NeMo/pull/4638 & https://github.com/NVIDIA/NeMo/pull/4683
What does this PR do ?
Add Chinese Text Normalization Tools in NeMo
Collection:
[NeMo/norm_text_processing/text_normalization]
[NeMo/tools/text_processing_deployment... | {
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} | Signed-off-by: Virginia Adams <vadams@nvidia.com>
# What does this PR do ?
1. Updates squad preprocessing script and adds squad metric calculation script
2. Updates prompt learning inference script to write prediction to file
3. Turns off sequence parallel for GPT models trained with it
**Collection**: NLP
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} | Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# What does this PR do ?
Currently, `AudioSegment` aims to do channel averaging for multi-channel audio signals:
```
if self._samples.ndim >= 2:
self._samples = np.mean(self._samples, 1)
```
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} | # What does this PR do ?
This PR updates the folder structure of example/speaker_task/diarization folder.
<img width="369" alt="image" src="https://user-images.githubusercontent.com/13211483/187006224-6ac5993b-e6b2-4ac2-85d5-c66208850983.png">
**Collection**: [Note which collection this PR will affect]
A... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
Fix float/integer type error in wer computation. Similar to PR https://github.com/NVIDIA/NeMo/pull/4816 but on different files.
# Changelog
Fix type errors in file rnnt_wer.py, rnnt_wer_bpe.py, wer_bpe.py.
# Usage
N/A
... | {
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} | # What does this PR do ?
Enables manifest processing / multilingual model training where there is more than one language ID per sample
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- [audio_to_text.py] modified to parse the manifest in the new format
- [collections.py] modifie... | {
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} | # What does this PR do ?
Enable optional output of language IDs during AASR transcription / inference
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Aggregate tokenizer modified so that it can output token and sample LIDs
- rnnt_wer.py modified to handle the compute_langs fl... | {
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# What does this PR do ?
Add kabyle language ASR models
**Collection**: ASR
# Changelog
- Add kabyle language ASR models
# Usage
```python
import nemo.collections.asr as nemo_asr
asr_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrai... | {
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When I try set num_speakers = None in manifest file and set config.diarizer.clustering.parameters.oracle_num_speakers=False , and run it without oracle vad diariza... | {
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Updates squad specific scripts for data set pre-processing and evaluation. Make improvements to prompt learning inference script and fixes bug with batch prompt learning inference.
Add a one line overview of what this PR aims to accomplish.
**Collection**: NLP... | {
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# What does this PR do ?
Without this, `WER.update()` fails with the following exception:
TypeError: 'float' object cannot be interpreted as an integer
This is because the `score` property is initialized as `tourch.int64`,
but actually is a float value. Fix the initialization so that the
property h... | {
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# What does this PR do ?
Megatron NMT Adapters
**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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} | # What does this PR do ?
Updates Apex commit used for building and testing to include distributed Adam.
**Collection**: NLP
# Changelog
- Update Apex commit in Dockerfile and Jenkinsfile
# Usage
```bash
cd /path/to/nemo
DOCKER_BUILDKIT=1 docker build .
```
# Before your PR is "Ready for review"
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This adds two features
**1. Partial activation checkpoint**
This feature is valid only when used with pipeline-parallelism. When an integer value is provided for 'num_micro_batches_with_partial_activation_checkpoints', it sets the number of micro-batches where only a partial number of ... | {
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at `File python3.8/site-packages/nemo/collections/asr/parts/submodules/subsampling.py:144, in ConvSubsampling.forward(self, x, lengths)
140 x = x.unsqueeze(1)
141 if self._subsampling == 'striding':
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# What does this PR do ?
Fixes indexing error in MixerTTS-X data loading introduced by adding items to the TTS datasets
**Collection**: TTS
# Changelog
- Changed indexing from 13 to 15 due to two additional items `voiced_mask` and `p_voiced`
**PR Type*... | {
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} | # What does this PR do ?
Added data processor to support custom data for DialogueS2SGenerationModel.
**Collection**: [nlp]
# Changelog
- Added a data processor for a custom dataset for the DialogueS2SGenerationModel.
# Usage
* You can potentially add a usage example below
```python
# Add a code snipp... | {
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in the [model's page](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_de_conformer_transducer_large), it is said that the model was trained on:
- 567 hours of MCV7
- 1524 hours of MLS
- 214 hours of VoxPopuli
I am wondering how the subsets for each dataset were chosen, especially for ... | {
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Trying to train a transformer model for machine translation, following the examples in the docs. After many attempts, I managed to get it to start training, but during the first validation step, it successfully processes the first validation dataset, but throws a `KeyError` exception for the sec... | {
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# What does this PR do ?
# Changelog
- fix typo "model_path" to "ckpt_path"
- also makes the "load_from_string" parameter optional
**PR Type**:
- [ ] New Feature
- [X] Bugfix
- [ ] Documentation
# Additional Information
* Related to [#4805](https://gi... | {
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# What does this PR do ?
Fix nan issue with precision=16
**Collection**: ASR
# Changelog
- Clip max value of data samples after convolution with rir impulses to 1
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4805 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4805/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4805/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4805/events | https://github.com/NVIDIA/NeMo/issues/4805 | 1,350,259,033 | I_kwDOC_bI7s5Qe1FZ | 4,805 | Initializing weights from checkpoint with configs - init_from_ptl_ckpt | {
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} | null | null | null | **Describe the bug**
Hi! When I tried to initialize weights of the model from checkpoint using configs and excluding some parts of it I get an error that model_path is not defined
I looked a the code at https://github.com/NVIDIA/NeMo/blob/main/nemo/core/classes/modelPT.py and indeed there is an initialized variable ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4804 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4804/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4804/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4804/events | https://github.com/NVIDIA/NeMo/pull/4804 | 1,350,179,473 | PR_kwDOC_bI7s49wg3y | 4,804 | [Tutorials] Fix matplotlib version and directory name in Multispeaker_Simulator | {
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} | Signed-off-by: Ante Jukić <ajukic@nvidia.com>
# What does this PR do ?
Fix a couple minor issues in `Multispeaker_Simulator` notebook
**Collection**: Tutorials
# Changelog
- added double quotes around the version specification to make sure the expected `matplotlib` is installed
- `ls` the correct dire... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4803 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4803/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4803/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4803/events | https://github.com/NVIDIA/NeMo/issues/4803 | 1,350,081,420 | I_kwDOC_bI7s5QeJuM | 4,803 | Cannot run Mixer TTS colab with Mixer-TTS-X model | {
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} | null | null | null | Hi all. I'm struggling to run a training using Mixer-TTS-X model. I'm using the tutorial for training both Fastpitch and MixerTTS.
Modifications I've done:
```pretrained_model = "tts_en_lj_mixerttsx"```
Adding 'raw_texts' argument when generating a spectrogram:
```spectrogram = spec_gen.generate_spectrogram... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4802 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4802/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4802/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4802/events | https://github.com/NVIDIA/NeMo/pull/4802 | 1,349,632,498 | PR_kwDOC_bI7s49urpv | 4,802 | Added P&C lexical audio model | {
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} | # What does this PR do ?
Add audio and lexical model to NeMo and necessary support.
**Collection**: nlp
# Changelog
- Added `PunctuationCapitalizationLexicalAudioModel` which is inherited from `PunctuationCapitalizationModel`.
- Extended `BertPunctuationCapitalizationDataset` and `BertPunctuationCapitalizati... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4801 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4801/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4801/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4801/events | https://github.com/NVIDIA/NeMo/pull/4801 | 1,349,490,142 | PR_kwDOC_bI7s49uM8w | 4,801 | Audio and lexical P&C model | {
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} | # What does this PR do ?
Add audio and lexical model to NeMo and necessary support.
**Collection**: nlp
# Changelog
- Added `PunctuationCapitalizationLexicalAudioModel` which is inherited from `PunctuationCapitalizationModel`.
- Extended `BertPunctuationCapitalizationDataset` and `BertPunctuationCapitalizati... | {
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