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} | Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
# What does this PR do ?
remove `vocab.py` because nowhere else uses it.
**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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```
# in /group-volume/Bixby-Compression/sharing/felicity.wang/NeMo/examples/nlp/machine_translation
python3 enc_dec_nmt.py \
--config-path=conf \
--config-name=aayn_base \
trainer.devices=[0] \
~... | {
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Add RETRO model documentation | {
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I cannot get the language of a file with AmberNet
**Steps/Code to reproduce bug**
Code:
```python
import nemo
from nemo.collections.asr.models import EncDecSpeakerLabelModel
model = EncDecSpeakerLabelModel.from_pretrained('langid_ambernet')
print('NeMO:', nemo.__version__)
p... | {
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} | Signed-off-by: David Mosallanezhad <dmosallanezh@nvidia.com>
# What does this PR do ?
Adds simple beam search to the lm_encoder_decoder's decode function
**Collection**: [Note which collection this PR will affect]
# Changelog
- Updated decode function
# Usage
* You can specify beam search size and the... | {
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} | # What does this PR do ?
This PR aims to provide a pipeline for integrating Voice Activity Detection (VAD) results in ASR inference.
**Collection**: [ASR]
# Changelog
- Added example folder `examples/asr/asr_vad`
- Added `feature_to_label.py` and `feature_to_label_dataset.py`
- Added `feature_to_text.py` ... | {
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**Collection**: tools
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
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# What does this PR do ?
Bugfix and code optimization
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**Collection**: [Note which collection this PR will affect]
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# What does this PR do ?
It looks like (due to updates to internals?) RadTTS now requires a bit higher minimum length of the input.
I will investigate some more but that fix would unblock the test.
**Collection**: [Note which collection this PR will affec... | {
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# What does this PR do ?
Add NFA - a tool to do forced alignment using NeMo CTC-based models.
**Collection**: [Note which collection this PR will affect]
Tools
# Changelog
- Add NeMo/tools/nemo_forced_aligner/
# Usage
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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# What does this PR do ?
This PR adds an option to defer dataloader setup in `ModelPT` from `__init__` to `setup`.
Default behavior remains unchanged.
**Collection**: Core
# Changelog
- In `ModelPT::__init__()`
- Nothing is changed if `self._cfg.train_ds.... | {
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# What does this PR do ?
Adds flag to compute word and char level timestamp using the transcribe speech script.
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Implementation of VITS model
**Collection**: [tts]
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [ ] Did ... | {
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# What does this PR do ?
Update torch metrics version
**Collection**: Speaker Tasks
# Change Log
Torch metrics updated their API to use `final_state` instead of `get_final_stat`.
# Before your PR is "Ready for review"
**Pre checks**:
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# What does this PR do ?
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Fixes the all-gather logic to only gather across data parallel ranks to write to a file. Previously, examples would be duplicated in the file since all model parallel ranks have the same data.
**Collection**: NLP
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} | # What does this PR do ?
When running GPT with `CUDA_DEVICE_MAX_CONNECTIONS=1`, @erhoo82 observed poor overlapping between the backward compute and the gradient reduce-scatters in the distributed Adam optimizer. This PR integrates performance optimizations from https://github.com/NVIDIA/apex/pull/1551.
I haven't ... | {
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# What does this PR do ?
Removes a broadcast call that causes hanging during T5 prompt learning inference.
**Collection**: NLP
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Fix logic behind `trainer.log_global_rank_0_only` and `trainer.log_local_rank_0_only` flags (currently they do nothing).
**Collection**: all
# Changelog
- Fix `trainer.log_*_rank_0_only` flags logic
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} | # What does this PR do ?
Upgrade to the latest NGC PyTorch 22.11 container
**Collection**: [Core]
# 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 ?
PTL 1.8 swapped the order of the positional args for the optimizer_step method that we are overriding.
**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 ?
Remove notebook which is no longer supported.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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Added gather_objects to easily collect results generated using data parallel.
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | null | null | null | Hi,
I want to join my ASR model into `offline_diar_with_asr_infer.py` and use `asr_based_vad`.
But the following error is appearance.
```Error executing job with overrides: []
Traceback (most recent call last):
File "offline_diar_with_asr_infer.py", line 55, in main
word_hyp, word_ts_hyp = asr_decoder_ts.... | {
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} | Signed-off-by: David Mosallanezhad <dmosallanezh@nvidia.com>
# What does this PR do ?
- adds set_start_method for t5, gpt prompt learning and t5 fine-tuning.
- includes a bugfix for function parameters
**Collection**: [Note which collection this PR will affect]
# Changelog
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# What does this PR do ?
In the latest `torchmetrics==0.11.0`, Accuracy class' `__init__()` requires `task` variable to be specified.
Adding task variable for torchmetrics Accuracy
**Collection**: [Note which collection this PR will affect]
ASR
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} | # What does this PR do ?
Read the id of the padding token from the tokenizer when creating the embedding, rather than always defaulting to 0. This allows use of (admittedly bizarre) non-standard tokenizer models that don't give the padding token <PAD> the id 0.
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```
home/mayanksharma/nemo_gpt_fintuning.py:261 in <module> │
│ │
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} | Signed-off-by: Yuekai Zhang <zhangyuekai@foxmail.com>
To improve the G2P accuracy for Chinese polyphone, this PR first splits Chinese sentencs into words using jieba, then call pypinyin with cc_cedict.txt loaded.
Below is the test result for [g2pM test set](https://github.com/kakaobrain/g2pM/blob/master/data/test... | {
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} | null | null | null | Hi, I'm trying to evaluate the [NMT En Fr Transformer12x2 model ](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/nmt_en_fr_transformer12x2) with sacrebleu, and cannot reproduce the bleu score reported in the doc - reported WMT13 and WMT14 bleu scores are 35.3/41.3 and I got 31.1/36.1. Is there anything I'... | {
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} | Signed-off-by: David Mosallanezhad <dmosallanezh@nvidia.com>
# What does this PR do ?
- adds set_start_method for t5, gpt prompt learning and t5 fine-tuning.
- includes a bugfix for function parameters
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line inf... | {
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Error:
```
[NeMo E 2022-12-01 21:47:24 common:503] Model instantiation failed!
Target class: nemo.collections.asr.models.label_models.EncDecSpeakerLabelModel
Error(s): __new__() missing 1 required positional argument: 'task'
Traceback (most recent call last):
File "/usr/l... | {
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} | # What does this PR do ?
Fixes current failures around torchmetrics new release.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Upper bound torchmetrics version.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelin... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5536 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5536/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5536/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5536/events | https://github.com/NVIDIA/NeMo/issues/5536 | 1,471,002,858 | I_kwDOC_bI7s5Xrbjq | 5,536 | Training stuck for a long time | {
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} | null | null | null | I try to train a Squeezeformer ASR model with speech_to_text_ctc_bpe.py. But the train log stucks for quite a long time after showing the "Total estimated model params size (MB)" ,without giving any error or training information. My GPUs keep 100% occupation as well. How to deal with this problem?
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} | Signed-off-by: Taejin Park <tango4j@gmail.com>
# What does this PR do ?
Add StreamingFeatureBufferer class for real-life streaming decoding
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
Added StreamingFeatureBufferer() in streaming_utils.py.
# Usage
Will add usag... | {
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} | # What does this PR do ?
Adds support to token_level_encoder_decoder module to accept Hidden and Loss transformations and apply them.
# Usage
* You can add the following to your config :
hidden_transforms: [MegatronGaussianHiddenTransform()] and it will apply a gaussian transform to the hiddens. | {
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# What does this PR do ?
Replaces speaker 6097's data with speaker 9017's since the latter has given explicit permission.
**Collection**: TTS
# Changelog
- Updated link to data and recalculated pitch stats for the new speaker.
# Usage
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- export related functions for Megatron GPT model
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- Fixes invalid image URL in `Entity Linking` page
- Fixes title format in `Question Answering` page (to resolve issues in NLP Tasks TOC page)
**Collection**: NLP docs
# Changelog
- Resolves issues in NLP docs
# Before your PR is "Ready for review"
**Pre checks**:
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**Collection**:
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# Changelog
- implementation of multi-blank both with numba kernel code as well as pytorch.
- add relevant test code.
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[[NeMo Online Speaker Diarization VIDEO DEMO LINK](
https://drive.google.com/file/d/15ro8HKmzevXh_wx9oTtfRUw9wNtj6LuJ/view?usp=share_link)]
# What does this PR do ?
Add core classes and functions for online clustering diarizer.
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# What does this PR do ?
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Sliding window local attention for Conformer.
**Collection**: ASR
# Changelog
- adds option to use local attention for Conformer
- adds option for overriding/merging parameters into model config when using transcribe/eval scripts or loading model
# Usage
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} | # What does this PR do ?
Fixes the unscale gradient error.
**Collection**: [NLP]
# Changelog
- Adds CI test for simple prompt tuning
- Initializes the prompt embeddings with full prec
# Usage
* You can potentially add a usage example below
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minor bugfix
**Collection**: [Note which collection this PR will affect]
# Changelog
- Added function arg
# 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"
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minor bugfix
**Collection**: [Note which collection this PR will affect]
# Changelog
- Added function arg
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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The PyTorch [dataloader](https://pytorch.org/docs/stable/data.html) supports pre-fetching the batch of data so that GPU doesn't wait for data processing. But I could not find any options to set the `prefetch_factor` parameter in the example config.YAM... | {
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I encountered two problems:
1. I want the learning rate decrease linearly.
I don't want warmup. So I set it 0.
But in this situation, it first increase and then decrease.
2. the second problem is I want to control the l... | {
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I have tried converting megatron lm ckpt to nemo (pytorch .pt to .nemo file ) with model_optim_rng.pt from nvidia/megatron_bert_345m by using [https://github.com/NVIDIA/NeMo/tree/main/examples/nlp/language_modeling)/megatron_ckpt_to_nemo.py](url) script
> wget --content-disposition https://... | {
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} | # What does this PR do ?
Add support for multi-blank transducers described in https://arxiv.org/pdf/2211.03541
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- implementation of multi-blank both with numba kernel code as well as pytorch.
- add example .yaml file for multi-b... | {
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Creating an onnx `InferenceSession` using the exported encoder from a conformer_transducer model (using the default parameters of `export`) leads to an `ONNXRuntimeError`.
```
[ONNXRuntimeError] : 1 : FAIL : Load model from /tmp/tmp_ssi0eq1/encoder-test.onnx failed:Type Error: Type parameter... | {
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# What does this PR do ?
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} | # What does this PR do ?
`AudioToMelSpectrogramPreprocessor` accepts a bool argument `use_torchaudio` which, if True, switches the `featurizer` to a `torchaudio`-based extractor which produces the same features but with an exportable graph.
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In TTS, if one wants to provide timing hints of the currently spoken word to the user, one needs to map the timing information (beginning/end time offset in generated pcm) to a word or characters or phonemes. This is necessary/applicable for e.g. scr... | {
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} | # What does this PR do ?
Larger coverage for the auto-labeler!
# 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 for revie... | {
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} | Signed-off-by: SeanNaren <snarenthiran@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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Hi,
I would like to use Conformer-CTC to train a Mandarin ASR model but even reach the 29th epoch, the predictions seem not to improve.
Meanwhile, another one uses QuartzNet15x5 looks good.
Is there something I have not noticed, please?
**Parts of prediction results**
```
Epoch 29: 100%|██... | {
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} | null | null | null | hello,I reproduced this paper (ADAPTER-BASED EXTENSION OF MULTI-SPEAKER TEXT-TO-SPEECH MODEL FOR NEW SPEAKERS),but the result is not as good as the paper, very poor。I only finetune adapter,please ask me where is the paper code? | {
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} | # What does this PR do ?
bugfix
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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bugfix
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: ASR
# Changelog
- Add missing import `model_utils` in `nemo/collections/asr/parts/utils/transcribe_utils.py`
- When I use `examples/asr/transcribe_speech.py`, the following error has been occurred:
```
T... | {
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# What does this PR do ?
Add core classes and functions for online clustering diarizer
**Collection**: [Note which collection this PR will affect]
# Changelog
#### `OnlineSegmentor` class in speaker_utils.py:
online version of speech segmentations
####... | {
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Hi,
I tried to train an ASR model, then the following error was appearance.
It seems to be some error about distribution.
```
Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/1
Added key: store_based_barrier_key:1 to store for rank: 0
Rank 0: Completed store-based barrier for key:store_... | {
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} | Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com>
# What does this PR do ?
Some fixes and minor improvements to README.rst and RTD docs,
# Changelog
- [x] Moves Requirements and Installation into single source of truth (on RTD)
- [x] Cleans up README.rst to make it less verbose and removing redundant... | {
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**Steps/Code to reproduce bug**
[Link of Notebook
](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tas... | {
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} | # What does this PR do ?
Updates MatchedScaleMaskSoftmax replacement
**Collection**: [Note which collection this PR will affect]
# Changelog
- Removes redundant class in export_utils
# Usage
* N/A
```python
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready for rev... | {
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# What does this PR do ?
Removing `<unk>` tokens from decoding timestamp.
This solves length mismatching error in audio files contain lots of silence.
**Collection**: [Note which collection this PR will affect]
ASR (speaker tasks)
# Changelog
in decoder_t... | {
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} | # What does this PR do ?
Updates MatchedScaleMaskSoftmax replacement
**Collection**: [Note which collection this PR will affect]
# Changelog
- Removes redundant class in export_utils
# Usage
* N/A
```python
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready for rev... | {
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# What does this PR do ?
This PR adds the following optional parameters to ASR transcription:
- select a single channel from multi-channel input
- override the default audio key (`"audio_filepath"`) when loading paths from a manifest
**Collection**: ASR
# Changelog
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Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
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# What does this PR do ?
Fixes a bug that affects T5-RPE due to positional vs key-word based argument passing.
**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 support for online silence perturbation for data augmentation and robustness test.
**Collection**: ASR
# Changelog
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I finally managed to properly script only necessary part, and added a guard that works around the issue with auto-casted TorchScript not workin in non-Python environment (Triton)
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I am trying to fine-tune the pre-trained ambernet-based language identification using [Mozzila Common Voice dataset ](https://commonvoice.mozilla.org/) by freezing the encoder and fine-tune only the classifier module.
` /NeMo/NeMo_1.12.0/ambernet/16d76d1aa14af9b770fabdac12fcf8e0/ambernet.nemo`
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} | Adding support of ALiBi positional embeddings to Megatron
https://arxiv.org/abs/2108.12409
# 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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