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https://api.github.com/repos/NVIDIA/NeMo/issues/4362 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4362/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4362/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4362/events | https://github.com/NVIDIA/NeMo/issues/4362 | 1,269,288,311 | I_kwDOC_bI7s5Lp813 | 4,362 | wav2vec ASR | {
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I have been trying to get wav2vec ASR training up and running. I am mainly trying to use the model defined in
```
examples/asr/experimental/wav2vec/configs/wav2vecCTC.yaml
```
I also tried to get a model with wav2vec_pretrain.yaml running, but I get the same error as outlined below.
T... | {
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I am trying to convert normalized asr model outputs into written form using _**inverse_normalizer.inverse_normalize**_.
Whereas some intractable problems arose when dealing a specific expression about time like **"* to *"**.
When I convert this ... | {
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I was wondering if it's possible to add first class support for W&B artifacts to the `modelPT.restore_from()` method?
Currently, I run something like the following if I want to download a NeMo model saved on W&B:
```py
from urllib.parse import u... | {
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} | null | null | null | ### Discussed in https://github.com/NVIDIA/NeMo/discussions/4217
**Original post:**
<div type='discussions-op-text'>
<sup>Originally posted by **riqiang-dp** May 20, 2022</sup>
I'm trying to train ASR models on a pretty unbalanced data set (lengthwise, a lot short utterances but also long utterances (up to 1 mi... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
1. Makes position embedding expansion specific to a batch to avoid checkpoint size mismatches.
2. Logs a warning when position embeddings are being expanded.
**Collection**: NLP
# Changelog
See "What does PR do" a... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Raises an error if a trainer is not passed to `MegatronBaseModel`
**Collection**: NLP
# Changelog
- Raises an error if a trainer is not passed to `MegatronBaseModel`.
# Usage
N/A
# Before your PR is "Ready f... | {
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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 ?
Fixed the issue where the auto-switching functionality of the `ConformerEncoderAdapter` input feature dimension was missing.
**Collection**: ASR
# Changelog
File changed: `nemo/collections/asr/modules/conformer_encoder.py`
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Tags are propagated to the output text during normalization.
**Steps/Code to reproduce bug**
```python
from nemo_text_processing.text_normalization import normalize
tn = normalize.Normalizer("lower_cased")
text = "google.com is related to apple.com"
print(tn.normalize(example))
... | {
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This PR fixes the RNNT tutorial by updating the manifest processing code and contextnet config path. | {
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For the test, I trained on a validation sample of GOLOS dataset and on my own data. By the time 14 hours. For validation, I used our other data and a test GOLOS dataset.
At first, the loss and ver on the tr... | null | {
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} | Fix a bug about how to do post-ln in the transformer layer.
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} | Signed-off-by: Yang Zhang <yangzhang@nvidia.com>
sacremoses is used and imported in [common/tokenizers](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/common/tokenizers/moses_tokenizers.py#L17)
so need to go into common requirements | {
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# What does this PR do ?
This PR fixes the problem of the program hanging during training with fully randomized bucketing.
# Why hanging?
When training RNNT models with fully randomized bucketing, and enabling fused batch, the program will hang when calculating t... | {
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} | Signed-off-by: Shantanu Acharya <shantanua@nvidia.com>
# What does this PR do ?
Improves the speed of the google speech commands dataset processing script by adding multiprocessing support.
**Collection**: dataset processing scripts
# Changelog
File changed: `scripts/dataset_processing/process_speech_comm... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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} | null | null | null | I'm currently using nemo only for text normalization - I only import nemo_text_processing.text_normalization.normalize.Normalizer.
I install nemo toolkit using nemo-toolkit[all]==1.8.2. Is there any way to reduce the number of dependencies, for example by not installing [all]? I haven't found anything in the docs.
... | {
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I use NeMo version 1.8.0. Also I test it on version 1.9.0 but the same probl... | {
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} | Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
# What does this PR do ?
Those are modifications needed to support RadTTS net - which, for now, cannot be integrated into Nemo.
Adding those support bits to Nemo will make it easier to make internal RADTTS implementation a Nemo extension, rather than a fork... | {
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} | # What does this PR do ?
Add CTC Decoding modules to any ASR CTC model, equivalent to RNNT decoding
**Collection**: [ASR]
# Changelog
- Add CTC Decoding code for all Char and Subword CTC models
- Add support for hypothesis update with logprobs, alignments, timestamps
- Compute char/subword and word boundar... | {
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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
The default `false` will slow down the data transfer to CUDA-enabled GPUs. See reference for details,
[1] https://discuss.pytorch.org/t/when-to-set-pin-memory-to-true/19723
[2] https://developer.nvidia.com/blog... | {
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} | # What does this PR do ?
This PR checks if the NeMo Megatron model is using the O2 recipe. If so, we will not wrap the model with DDP.
When wrapping the model with DDP, gradient buckets are created which take up GPU memory. This is not needed since the O2 recipe creates its own buckets.
This should reduce memo... | {
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} | null | null | null | **Describe the bug**
I face the following error when exporting [MTEncDecModel](https://github.com/NVIDIA/NeMo/blob/r1.2.0/nemo/collections/nlp/models/machine_translation/mt_enc_dec_model.py) to ONNX and trying to bind inputs and outputs directly to a PyTorch tensor.
**Steps/Code to reproduce bug**
```python
i... | {
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[NeMo W 2022-06-04 14:58:08 exp_manager:895] The checkpoint callback was told to monitor a validation value and trainer's max_steps was set to -1. Please ensure that max_steps will run for at least 1 epochs to ensure that checkpointing will not error out.... | {
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Is there a limit to the maximal text input length when calling `MTEncDecModel.translate()`? I mean the length of individual strings or size of List. Is it model config dependant? E.g. is it determined by `max_sequence_length`? If so, is this the number of tokens after tokenisation with `encoder_... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4335 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4335/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4335/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4335/events | https://github.com/NVIDIA/NeMo/issues/4335 | 1,260,892,590 | I_kwDOC_bI7s5LJ7Gu | 4,335 | Use ASR Adapters with Citrinet model | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4332 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4332/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4332/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4332/events | https://github.com/NVIDIA/NeMo/issues/4332 | 1,260,443,340 | I_kwDOC_bI7s5LINbM | 4,332 | Torchscripting Transducer model results in " Module 'FilterbankFeatures' has no attribute 'stft' " | {
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from nemo.collections.asr.models import (
EncDecRNNTModel,
)
import torch.quantization.quantize_fx as quantize_fx
asr_model = EncDecRNNTModel.restore_from(<path>)
asr_model.eval()
quantized_model = torch.quantization.quantize_dynamic(
asr_model, qconfig_spec={torch.nn.Linear}, dtype=... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4331 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4331/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4331/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4331/events | https://github.com/NVIDIA/NeMo/pull/4331 | 1,260,410,293 | PR_kwDOC_bI7s45GFA6 | 4,331 | Merge r1.9.0 main | {
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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
# Add a cod... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4330 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4330/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4330/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4330/events | https://github.com/NVIDIA/NeMo/pull/4330 | 1,260,370,208 | PR_kwDOC_bI7s45F8PW | 4,330 | Torchaudio installation fix | {
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} | Signed-off-by: Aleksandr Laptev <alaptev@nvidia.com>
# What does this PR do ?
Torch and torchaudio versions must match. Othervise, there will be no CUDA support for things like RNNT loss.
This PR fixes the issue.
Also, this PR automates picking the latest torchaudio release.
# Changelog
- The commands in t... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4329 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4329/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4329/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4329/events | https://github.com/NVIDIA/NeMo/pull/4329 | 1,260,367,782 | PR_kwDOC_bI7s45F7vY | 4,329 | Update container to 22.05 | {
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"merged_at": "2022-06-07T04:19:51"
} | # 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
# Add a cod... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4328 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4328/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4328/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4328/events | https://github.com/NVIDIA/NeMo/pull/4328 | 1,260,233,852 | PR_kwDOC_bI7s45FfBN | 4,328 | Finetune T5 on the prefix-lm objective | {
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} | # What does this PR do ?
Adds a script and yaml config to fine-tune a pre-trained T5 model on the prefix-LM (LM adaptation) objective.
**Collection**: NLP
# Changelog
- Add pre-training script and config
# Usage
* You can potentially add a usage example below
```python python megatron_t5_lm_adaptation... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4327 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4327/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4327/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4327/events | https://github.com/NVIDIA/NeMo/pull/4327 | 1,260,174,171 | PR_kwDOC_bI7s45FSXN | 4,327 | Fuse grad division into async grad allreduce | {
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} | # What does this PR do ?
Fuse gradient division into torch.distributed.allreduce().
# Changelog
This change is made for async grad AR in class MainParamsOptimizerWrappe.
# Usage
**This fusion requires at least PyTorch 22.04.**
This fusion is enabled by default, you can turn it off by setting grad_div_ar_f... | {
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# What does this PR do ?
IPA words/sentences in square brackets won't be normalized
**Collection**: [Note which collection this PR will affect]
# Changelog
TN: IPA words/sentences in square brackets won't be normalized
# Usage
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} | # What does this PR do ?
Add a tutorial showing how to upload NeMo models to the Hugging Face Hub
**Collection**: [Core, Documentation]
# Changelog
- Add tutorial notebook that shows how to upload a nemo model to the hub
- Prepare the model card with a template
- Upload results of model evaluations
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[Official Implementation](https://github.com/kssteven418/Squeezeformer)
[Paper]([arxiv.org/pdf/2206.00888.pdf](https://arxiv.org/pdf/2206.00888.pdf)) | {
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} | * remove redundant lines;
* declare global variables;
* capture exception of non-supported windows.
Signed-off-by: Xuesong Yang <xuesongyxs@gmail.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]
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# What does this PR do ?
`member function is static so it needs a decorator of static method.`
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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} | # What does this PR do ?
Implements a Megatron-based perceiver encoder with tensor parallel only.
**Collection**: NLP
# Changelog
- Add `megatron_perceiver_encoders.py` file and add corresponding configuration options in yaml files.
# Usage
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https://api.github.com/repos/NVIDIA/NeMo/issues/4315 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4315/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4315/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4315/events | https://github.com/NVIDIA/NeMo/issues/4315 | 1,258,594,405 | I_kwDOC_bI7s5LBKBl | 4,315 | Multiprocessing hangs in VAD during diarization | {
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https://github.com/NVIDIA/NeMo/pull/4317 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4314 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4314/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4314/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4314/events | https://github.com/NVIDIA/NeMo/issues/4314 | 1,258,508,279 | I_kwDOC_bI7s5LA0_3 | 4,314 | How should i use Kaldi MFCCs? | {
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I have kaldi feats.ark and text, but i do not have wavs. And i need to train ASR. I guess you had scripts for that before, but you removed them. Do you have any suggestion for me?Or any way to use feats?
Thanks
Best Regards
https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/starthere/best-p... | {
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} | null | null | null | Good evening! I have 2 questions...
1. Is it possible to write your own dataloader and embed it in the architecture of the QuartzNet model for training?
It seems to me that I saw somewhere how the default dataloader is replaced with a custom dataloader. But I can't find an example of how to do it.
2. Is it possible ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4312 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4312/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4312/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4312/events | https://github.com/NVIDIA/NeMo/pull/4312 | 1,257,658,826 | PR_kwDOC_bI7s448wiX | 4,312 | Removes debug logging statements in Megatron NMT | {
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} | # What does this PR do ?
Removes logging statements that were added to debug.
**Collection**: NLP
# Changelog
- Removes logging statements that were added to debug megatron NMT
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
... | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Adds NeMo adapters tutorial to Core
**Collection**: [Core, ASR]
# Changelog
- Adds tutorial that explains how to add adapter support to any NeMo / PyTorch model.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4310 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4310/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4310/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4310/events | https://github.com/NVIDIA/NeMo/pull/4310 | 1,257,172,420 | PR_kwDOC_bI7s447DrT | 4,310 | IPA support for TTS | {
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} | # What does this PR do ?
Add IPA support to TTS collection with new tokenizer, G2P class, and CMUdict with IPA entries.
**Collection**: TTS
# Changelog
- Adds static tokenizer and G2P that handle IPA
- Adds CMUdict version with IPA entries that can be used with the above classes to train TTS models
- New, ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/4309 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/4309/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/4309/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/4309/events | https://github.com/NVIDIA/NeMo/pull/4309 | 1,257,157,927 | PR_kwDOC_bI7s447AUV | 4,309 | Remove verbose flag from Dali Index Creator | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Fix an issue in Dali Index Creator causing a crash.
**Collection**: [ASR]
# Changelog
- Remove verbose=False arg from DALI Index Creator.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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# What does this PR do ?
Adjusts default learning rate down to 1e-3 due to change in default optimizer to AdamW from LAMB (see PR #4233)
**Collection**: TTS
# Changelog
- Changes default learning rate from 1e-1 to 1e-3 for FastPitch and Mixer-TTS models | {
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# What does this PR do ?
Fixes an issue with step calculation logic.
**Collection**: [Core]
# Changelog
- Update tests to increase num steps.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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# What does this PR do ?
Clear registry if trying to add when it isn't empty
**Collection**: Core
**PR Type**:
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**Collection**: [Core]
# Changelog
- Trivial change with no functional change
# Before your PR is "Ready for review"
**Pre checks**:
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# Changelog
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# Before your PR is "Ready for review"
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Running multi-gpu training without a pre-prepared cache, crashes upon initialization with the following trace
```python3
Traceback (most recent call last):
File "examples/nlp/token_classification/punctuation_capitalization_train_evaluate.py", line 155, in <module>
main()
File "/work... | {
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# What does this PR do ?
Added support for subnet export: AIA-2515
**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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Use `mktemp -d` for creating temporary directories for punctuation and capitalization model tests. Previously race conditions happened if several similar tests were run on same machine.
**Collection**: nlp
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
Fixed the bug that does not correctly capture NotImplementedError of non-supported supplementary data types. Original implementation as shown in https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/tts/torch/data.py#L262-L263 will not raise any exception ever because the `data_type` has... | {
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A clear and concise description of what the bug is.
**Steps/Code to reproduce bug**
While doing the Fine-Tuning of pretrained ner_en_bert model, Model Config file is not getting update with the new one. It is using the same config file on which model is pretrained on. I can see the same in... | {
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Fix for OOM error in 1.9.0 CI test
**Collection**: BigNLP
# Changelog
- Changed total_virtual_tokens in example prompt learning config
# Usage
n/a
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contribut... | {
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Amp_O2 for prompt learning is not supported in the upcoming JoC release. So, megatron_amp_o2 needs to be overwritten and set to False in the GPT model configs that were trained with O2 in order for those models to load for prompt learning.
This will cause a time ove... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
Forces 2D conv subsampling to fp32
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
One liner change in nemo/collections/asr/modu... | {
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# What does this PR do ?
Updating PretrainedModelInfo for ASR SSL models
**Collection**: ASR
# Changelog
- Added conformer large, xlarge info in PretrainedModelInfo
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read... | {
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} | # What does this PR do ?
1. Adds pipeline parallel capability to GPT p-tuning and prompt tuning
2. makes prompt learning methods compataible with GPT models trained with amp O2,
3. switches to smaller gpt model and datasets for CI test, adding tp and pp tests
**Collection**: BigNLP
# Changelog
- Updated ... | {
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```python
dict_vocab= {
"a": "а",
"b": "б",
"c": "с",
"d": "д",
"f": "ф",
...
}
```
Do not tell me how this can be done? I didn't find it in the tutorials.
Thanks in advance!
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When running the tutorial notebook for Tacotron2 training in Google Colab. After this step;
`!python tacotron2.py \
sample_rate=16000 \
train_dataset=tests/data/asr/an4_train.json \
validation_datasets=tests/data/asr/an4_val.json \
trainer.max_epochs=3 \
trainer.accelerator=null trainer.check_... | {
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1, whether the t5 can be train in dialogue without pretrain which treat the t5... | {
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Adds style overwrite for the h4 tag located on the right side bar. Currently, the font size is too small
**Collection**: Docs
# Changelog
- Adds style overwrite for h4 tag on the right side bar. Currently the font is too small
- Example of the issue: https://docs.nvidia.com/deeplear... | {
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I have been using diarization.py example using the provided config file. The marble net vad acts really poor detecting speech. So I decided to use an External vad *( e.g pyannote vad ) to provide to the model. I could not find how to convert an exter... | {
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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 ?
remove redundant condition testing for fastpitch. `shuffle_should_be` is already known as `False` in this case, so no need to test again `not shuffle_should_be`.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level c... | {
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In different tutorials, specially in the TTS ones, you have to provide parameters fmin and fmax of your speaker. Nevertheless, there is no automatic way or tutorial on how to do that.
How do you extract fmin and fmax from an audio dataset?
Thanks,
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Fixes prompt learning config bug in CI test
**Collection**: BigNLP
# Changelog
- Updated prompt learning config file
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](h... | {
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Adds amp o2 support for prompt learning for JoC release. Amp O2 support code taken from @MaximumEntropy's NMT PR.
**Collection**: BigNLP
# Changelog
- Updated NLP Overrides with amp o2 state dict modification
- Updated PromptLearningGPTModel
# Usage
N... | {
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} | # Add Support for Automatically Resolving Relative Audio Path
This simple modification allows using relative audio paths in the manifest, so that there is no need to change the manifest after moving the dataset to different locations. The updated `iterm_iter` function will first check if the `audio_file` exists, and... | {
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Have the following bug when run commamd to traininig HifiGan Finetuning:
Error in call to target 'nemo.collections.tts.torch.data.VocoderDataset':
FileNotFoundError(2, 'No such file or directory')
full_key: train_ds.dataset
**Steps/Code to reproduce bug**
command as the turorial :
pytho... | {
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} | # What does this PR do ?
Add documentation on setting save_on_train_end to False
**Collection**: BigNLP
# Changelog
- Updated prompt learning docs
- Updated prompt learning config
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor g... | {
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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... | {
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def transcribe(self, paths2audio_files: List[str], batch_size: int = 4) -> List[str]:
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Takes paths to audio files and returns text transcription
Args:
paths2audio_files: paths to audio fragment to be transcribed
Returns:
transcription texts
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# What does this PR do ?
Updates all ASR configs to have num_workers and pin_memory.
**Collection**: [ASR]
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation
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# What does this PR do ?
Fix adapters training script when there are no validation configs.
**Collection**: [ASR]
# Changelog
- Fix validation config bug
- Improve the handling of dataloader speeds in ASR
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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# What does this PR do ?
- fixes masked patch augmentation to round up to guarantee specified fraction of masked steps
- updates to citrinet and contextnet ssl configs and relevant decoder
- fixes tutorial to work with updated configs + minor changes
- revert rnn... | {
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} | # What does this PR do ?
Reverts a change to ModelPT's `cfg` attr.
**Collection**: All
# Changelog
- Reverts a change to ModelPT's `cfg` attr.
# 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 r... | {
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# What does this PR do ?
Adds the code and tutorial to train Fastpitch model from scratch on German neutral dataset ([openslr/95](https://www.openslr.org/95)) text and phonemes, and Finetune HiFi-GAN model on predicted mels from Fastpitch.
**Collection**... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Fixes NMT epoch end
**Collection**: NLP
# Changelog
- NLP eval epoch end fix due to PTL bug.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use ... | {
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# What does this PR do ?
Fixes NMT preproc notebook.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Raise error if bicleaner is not installed.
# Usage
* You can potentially add a usage example below
```pyt... | {
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} | Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
# What does this PR do ?
Sets PTL trainer `benchmark` back to default False for all TTS configs (see #4083).
**Collection**: TTS
# Additional Information
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} | # What does this PR do ?
Fixes notebook typo, changes branch to r1.9.0, improves manual dataset download message
**Collection**: BigNLP
# Changelog
- Prompt Learning Notebook
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guideline... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Sets `trainer.benchmark=False` for all NLP yaml configs.
**Collection**: NLP
# Changelog
Sets `trainer.benchmark=False` for all NLP yaml configs.
# Usage
* You can potentially add a usage example below
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} | Signed-off-by: vahidoox <vnoroozi@nvidia.com>
# What does this PR do ?
There was a slow down in speech models when upgraded to PTL 1.6. They changed the default of trainer.benchmark to True which slows down model with variable input lengths including speech models. This PR set all the trainer.benchmark to false f... | {
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} | Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com>
# What does this PR do ?
Updating PretrainedModelInfo and benchmark sheet for ASR models
**Collection**: ASR
# Changelog
- Added conformer RNNT xlarge, xxlarge info in PretrainedModelInfo, benchmark sheet
- Added conformer CTC xlarge info in Pretrained... | {
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} | # What does this PR do ?
Fix broken link
**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 this
``... | {
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} | … re-basing to 'main' branch from r1.9.0 - all previous review comments are in.
Signed-off-by: Hoo Chang Shin <hshin@nvidia.com>
# What does this PR do ?
Add 'relative positional embedding (RPE)' feature to T5 model.
**Collection**: NLP
# Changelog
Adds an option to use 'relative positional embedding' ... | {
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} | Signed-off-by: smajumdar <smajumdar@nvidia.com>
# What does this PR do ?
Adds support for load_adapters to load any module adapter with just the adapter_name
**Collection**: [Core, ASR]
# Changelog
- Update code and tests
# Usage
```python
model = ModelWithAdapterSupport()
model.add_adapters("module... | {
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} | # What does this PR do ?
Add 'relative positional embedding (RPE)' feature to T5 model.
**Collection**: NLP
# Changelog
Adds an option to use 'relative positional embedding' other than 'absolute position embedding' or 'fixed position encoding'.
# Usage
In the 'megatron_t5_config.yaml' file change the '... | {
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