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# What does this PR do ?
Fixes a stateless timer restore issue because PTL 1.6 changed their Timer API
**Collection**: all
# Changelog
- Override `save_state_dict()` and `load_state_dict()` to not load time information.
# Usage
N/A
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ypeError Traceback (most recent call last)
[<ipython-input-6-f04173251243>](https://localhost:8080/#) in <module>()
---> 19 fastpitch = FastPitchModel.from_pretrained("tts_en_fastpitch")
8 frames
[/usr/local/lib/python3.7/dist-packages/yaml/__init__.py](https:/... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3923 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3923/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3923/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3923/events | https://github.com/NVIDIA/NeMo/issues/3923 | 1,190,130,798 | I_kwDOC_bI7s5G7_Ru | 3,923 | Speech transcription with background music | {
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I've been testing the NeMo transcription engine for some time now and I came across a question. In the case of voice with background music, how would NeMo behave?
Would I need to train with audios with background music? Or would that be a problem?
An example, a person narrating some text and an audio in the ... | {
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NeMo uses the `json.dumps` function to save dictionaries to JSON files. `json.dumps` is problematic when there are non-English characters involved. For example, I work with the Slovenian language and `json.dumps` will printout `\u0161` instead of `č` at all locations. To resolve this you need to... | {
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"followers_url": "https://api.github.... | null | null | 2022-04-01T01:37:43 | 2022-04-01T03:01:57 | 2022-04-01T03:01:54 | COLLABORATOR | {
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} | Signed-off-by: Dima Rekesh <bmwshop@gmail.com>
# What does this PR do ?
bugfix for the cleanup flag
Add a one line overview of what this PR aims to accomplish.
bugfix for the cleanup flag
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high l... | {
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} | Signed-off-by: Vahid <vnoroozi@nvidia.com>
# What does this PR do ?
Added stt_en_conformer_transducer_large_ls to NGC. A Conformer-Transducer-Large just trained on LS.
**Collection**: ASR
# Changelog
- Added a new model stt_en_conformer_transducer_large_ls to NGC (A Conformer-Transducer-Large just traine... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3919 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3919/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3919/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3919/events | https://github.com/NVIDIA/NeMo/pull/3919 | 1,188,878,323 | PR_kwDOC_bI7s41cQ-W | 3,919 | Megatron legacy conversion support | {
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# What does this PR do ?
Fix bugs in MegatronBert export to support models trained on NeMo < 1.5
Refactor code for NLP models forward functions based on Bert
Fix a bug in Intent Slot classification on path join
Modify export.py to showcase exporting... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3918 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3918/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3918/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3918/events | https://github.com/NVIDIA/NeMo/pull/3918 | 1,188,703,298 | PR_kwDOC_bI7s41bo1H | 3,918 | NMT GRPC sever URL fix | {
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} | # What does this PR do ?
Makes server URL generic for NMT GRPC and not specific to being on localhost
**Collection**: Tools
# Changelog
- Accept server URL directly instead of just a localhost port in `client.py`
# Usage
```
python tools/nmt_grpc_service/client.py --source_language en --target_langua... | {
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} | # What does this PR do ?
Fix bugs in MegatronBert export to support models trained on NeMo < 1.5
Refactor code for NLP models forward functions based on Bert
Fix a bug in Intent Slot classification on path join
Modify export.py to showcase exporting legacy MegatronBert NLP models
**Collection**: [Note which co... | {
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When running the tutorial notebook for Tacotron2 training in Google Colab. A Hydra issue is raised:
`Traceback (most recent call last):
File "[tacotron2.py](http://tacotron2.py/)", line 44, in <module>
main() # noqa pylint: disable=no-value-for-parameter
File "/usr/local/lib/python3.7/dist-... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3914 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3914/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3914/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3914/events | https://github.com/NVIDIA/NeMo/issues/3914 | 1,187,790,444 | I_kwDOC_bI7s5GzD5s | 3,914 | Repost : Get 404 client error when I execute example in /blob/main/tutorials/nlp/Relation_Extraction | {
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Describe the bug
In website [https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Relation_Extraction-BioMegatron.ipynb，](https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Relation_Extraction-BioMegatron.ipynb%EF%BC%8C) I run the co... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3913 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3913/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3913/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3913/events | https://github.com/NVIDIA/NeMo/pull/3913 | 1,187,299,730 | PR_kwDOC_bI7s41W4oM | 3,913 | add input threshhold | {
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} | Signed-off-by: Yang Zhang <yangzhang@nvidia.com>
adds check for input threshhold for wfst normalization | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3912 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3912/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3912/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3912/events | https://github.com/NVIDIA/NeMo/pull/3912 | 1,187,092,377 | PR_kwDOC_bI7s41WI6h | 3,912 | Bump pytorch-lightning from 1.5.10 to 1.6.0 in /requirements | {
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} | Bumps [pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning) from 1.5.10 to 1.6.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/PyTorchLightning/pytorch-lightning/releases">pytorch-lightning's releases</a>.</em></p>
<blockquote>
<h2>PyTorch Lightning 1.6... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3911 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3911/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3911/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3911/events | https://github.com/NVIDIA/NeMo/pull/3911 | 1,187,012,932 | PR_kwDOC_bI7s41V3OC | 3,911 | Fix DALI test on 22.03 | {
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} | Signed-off-by: smajumdar <titu1994@gmail.com>
# What does this PR do ?
Fix DALI tests on 22.03 container
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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when running the second cell of [Inference_DurationPitchControl.ipynb](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/tts/Inference_DurationPitchControl.ipynb#scrollTo=Om8Q6noETUxt) in colab, I get
```
[NeMo E 2022-03-30 19:30:51 vocabs:325] Torch distributed need... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3908 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3908/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3908/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3908/events | https://github.com/NVIDIA/NeMo/pull/3908 | 1,185,979,572 | PR_kwDOC_bI7s41SfC0 | 3,908 | Add a missing line to ASR_with_NeMo.ipynb | {
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} | # What does this PR do ?
Add a missing line to inference step. The WER is different with and without the line.
**Collection**: ASR
# Changelog
- Add a missing line to inference step in ASR_with_NeMo.ipynb
- Deleted lines were handled automatically by PyCharm.
# Usage
* N/A
# Before your PR is "Ready ... | {
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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
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# Usage
* You can potentially add a usage example below
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Error message during the docker build:
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=> [internal] load build context 0.7s
=> => transferring context: 34.81MB 0.6s
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} | # What does this PR do ?
Adds some block configs to group together PRs under each domain when building the changelog.
**Collection**: [docs]
# Usage
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Bounds PTL since pypi PTL 1.6 is out.
**Collection**: All
# Changelog
- Change PTL requirements file.
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CO... | {
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fixes citations for text norm, deletes MegatronBertModule from nlp api since it does not exist and created doc build error | {
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Comments out GPT CI tests for resuming training temporarily due to hanging.
**Collection**: NLP
# Changelog
- Comments out GPT CI resume tests
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
Updates NeMo CI to the PyTorch 22.03 container
**Collection**: All
# Changelog
- Changes the Jenkinsfile with the path to the new container.
# Usage
N/A
# Before your PR is "Ready for review"
**Pre checks**:
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```python
from nemo.collections.nlp.data.language_modeling.megatron.dataset_utils import compile_helper
compile_helper()
```
Throws the following error:
```
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} | …ce generation code
Signed-off-by: Jure Demsar <demsarjure@gmail.com>
# What does this PR do ?
Diarization with ASR JSON output now also includes sentences. This is a continuation of https://github.com/NVIDIA/NeMo/pull/3791, which I accidentally closed when cleaning up the repo.
**Collection**: [Note which ... | {
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this is an untested code, which is
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In website https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Relation_Extraction-BioMegatron.ipynb， I run the code step by step, and i get the 404 client error on the last line of chapter "Setting up a NeMo Experiment"
**Steps/Code to reproduce bug**
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} | # What does this PR do ?
Add MegatronBert support for more NLP models;
Add support for finetuning a downstream task which used MegatronBert as pretrained model
Fix RIVA and ONNX export issues of Bert and MegatronBert (This is coming from https://github.com/NVIDIA/NeMo/pull/3883 PR)
The change in order of argum... | {
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} | Signed-off-by: Dima Rekesh <bmwshop@gmail.com>
# What does this PR do ?
improvements to et_commonvoice_data.py: logging, handling of overwrites, tgz cleanup
**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 ?
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 ?
This PR will have fixes needed for PTL 1.6.0. The PR will first install PTL 1.6.0rc0 via the Jenkinsfile. Then when PTL 1.6.0 is on PYPI, PTL will be installed via .reinstall.sh. Do not merge this PR until PTL 1.6.0 is on PYPI.
**Collection**: Core
# Changelog
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} | # What does this PR do ?
1. It implements a processor `JaMeCabProcessor` to train and evaluate models where Japanese is segmented with MeCab
2. Fixes a bug in one-many translation BLEU score eval. Old code would not index into self.tgt_language to select the appropriate language.
**Collection**: NLP
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} | # What does this PR do ?
Adding cache-aware streaming Conformer training and inference with look-ahead support. It is achieved by training a model with limited effective right context and then perform the streaming with activation caching support. Limiting the right context would reduce the accuracy in compare to th... | {
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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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} | # What does this PR do ?
This PR adds RNN-based encoder to NeMo. It enables us to have LSTM-Transducer (RNN-T) and LSTM-CTC models.
# Changelog
- Added RNN encoder for ASR models (LSTM-T and LSTM-CTC models)
- Added stacking downsampling
- Added support for proj_size to Transducer decoders
- Added skip_nan_... | {
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Populate the GPT/BERT `list_available_models` with uploaded models. So, user can see all the models available by
```python
MegatronBertModel.list_available_models()
```
User can easily load the model by
```python
MegatronBertModel.from_pretrained('megatron_bert_345m_cased', trainer)
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} | # What does this PR do ?
Add various functionalities to dialogue domain for NeMo
**Collection**: NLP
# Changelog
1. Support Zero Shot Intent Recognition
2. Further refactored Dialogue module
3. Implement Dialogue GPT Generation Model
4. Support MS Marco Data Processor
5. Implement Dialogue S2S Generat... | {
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} | Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
# What does this PR do ?
Fixing remaining issues with exported order of inputs of NLP models:
* Except Punct&Capital, exported order of inputs of BERT networks was wrong
* There were discrepancies between Bert and Roberta/CamamBert forward() argument orders... | {
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I'm trying to convert a CitriNet model I trained with NeMo v1.7.0 to the Riva format using the `nemo2riva` CLI tool.
Everytime I run:
```sh
nemo2riva --out my-model.riva my-model.nemo
```
I get the following error:
```sh
ERROR: Failed to restore model from NeMo file : my-model.nemo. P... | {
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The current documentation says that only up to 3.8 is supported but there are some suggestions to use 3.9 in other issues, and I haven't found any discussion of updating the supported versions to include it.
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Fixing a Jenkins Test error from the previous commit
**Collection**: NLP and Jenkinsfile
# Changelog
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1. stt_en_quartznet15x5
2. stt_en_conformer_ctc_large
3. stt_en_citrinet_1024
But running the sample code for diarization with asr works for the first and third models. The second model conformer ctc large is giving blank output with the following mes... | {
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Refactor to combine p-tuning and prompt tuning code as well as integrate it with the new evaluation code/api.
Prompt tuning and p-tuning are now jointly called 'prompt learning' within NeMo.
**Collection**: BigNLP
# Changelog
- Added MegatronGPTPromptLearningModel class
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Fixing a Jenkins Test error from the previous commit
**Collection**: NLP and Jenkinsfile
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When using nemo container `nvcr.io/nvidia/nemo:1.4.0` on a kubernetes environment, there seems to be increase ephemeral storage usage. I had mounted the experiment directory and data dir as volumes for the pod running the training on, was just wondering if there are other directories that are e... | {
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} | Signed-off-by: Carol Anderson <carola@nvidia.com>
# What does this PR do ?
Addresses the problem raised in #2769, where models cannot be reloaded if the data directory specified in the config is missing, such as when a model is reloaded on a different machine from the one on which it was trained.
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} | # What does this PR do ?
When adding pipeline parallelism implementation we had to disable async allreduce in the case of tensor parallelism only. This causes a perf regression when training small models. With this PR we are able to add back async grad allreduce for O2 training.
A subsequent PR will implement asy... | {
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I've exported both the HifiGAN and FastPitch models to ONNX, thanks to _Exportable.export()_ method, but the FastPitch ones fail to even get parsed by the... | {
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I use [export.py](https://github.com/NVIDIA/NeMo/blob/6dd4263fecd03a39688dfd99866ac8d5842b65e6/scripts/export.py) to export titanet to onnx, and succeed(get titanet-l.onnx). Then I use tensorRT OnnxParser to parse this onnx, and get error like:
```
[03/22/2022-09:41:57] [TRT] [E] ModelImporter.cpp:774... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3870 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3870/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3870/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3870/events | https://github.com/NVIDIA/NeMo/issues/3870 | 1,176,363,166 | I_kwDOC_bI7s5GHeCe | 3,870 | Error loading KenLM for beam decoding with ngram | {
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[data.zip](https://github.com/NVIDIA/NeMo/files/8322010/data.zip)
**Describe the bug**
I am trying to decode hindi speech file with recently released STT Hi Conformer-CTC Medium.
Once loaded AM and LM I run script scripts/asr_language_modeling/ngram_lm/eval_beamsearch_ngram.py as described in tutorial.
After pa... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3869 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3869/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3869/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3869/events | https://github.com/NVIDIA/NeMo/pull/3869 | 1,176,138,665 | PR_kwDOC_bI7s40x4HH | 3,869 | enable bias+dropout+add fusion with nvfuser at inference | {
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} | # What does this PR do ?
Make nvfuser work at bias+dropout+add fusion at GPT inference
# Changelog
Apply _torch.enable_grad_ to the fusion at training pass
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3868 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3868/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3868/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3868/events | https://github.com/NVIDIA/NeMo/pull/3868 | 1,175,916,070 | PR_kwDOC_bI7s40xIC9 | 3,868 | Make index mappings dir configurable | {
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} | # What does this PR do ?
Index mapping files are created during nemo megatron training. This PR makes the directory that they are saved in configurable.
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example bel... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3866 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3866/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3866/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3866/events | https://github.com/NVIDIA/NeMo/pull/3866 | 1,175,781,324 | PR_kwDOC_bI7s40wrPe | 3,866 | Update webdataset version | {
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} | # What does this PR do ?
Attempts to update webdataset version to use better seeding that was introduced in more recent versions.
**Collection**: NLP
# Changelog
- Change webdataset version requirements file
- Change NMT tarredataset to use webdataset pipeline
# Usage
N/A
# Before your PR is "Ready... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3865 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3865/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3865/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3865/events | https://github.com/NVIDIA/NeMo/issues/3865 | 1,175,715,544 | I_kwDOC_bI7s5GE_7Y | 3,865 | I'm getting syntax error trying loading nlp (webdataset import) | {
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```
File "/usr/local/lib/python3.7/dist-packages/webdataset/cache.py", line 43
while data := stream.read(chunk_size):
^
SyntaxError: invalid syntax
```
that looks to originate in webdataset import.
The webdataset version... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3864 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3864/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3864/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3864/events | https://github.com/NVIDIA/NeMo/issues/3864 | 1,175,247,268 | I_kwDOC_bI7s5GDNmk | 3,864 | [Question] Loading trainer configs for resume training of ASR models | {
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I know that when one want to fine-tune an ASR model can easily load pre-trained models' wights by using [this link hints and commands](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/configs.html#fine-tuning-configurations). Now, my questions is that, how I can load the trainer configs for **... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3863 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3863/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3863/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3863/events | https://github.com/NVIDIA/NeMo/issues/3863 | 1,174,998,900 | I_kwDOC_bI7s5GCQ90 | 3,863 | Pre-trained HuggingFace decoder fails with NotImplementedError | {
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} | null | null | null | Hi 👋 I'm trying to load pre-trained HuggingFace model ([mBART](https://huggingface.co/facebook/mbart-large-cc25)) for machine translation as described in [this doc](https://github.com/NVIDIA/NeMo/blob/2ce45369f7ab6cd20c376d1ed393160f5e54be0c/docs/source/nlp/machine_translation.rst).
I'm using [this script](https://g... | {
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} | # What does this PR do ?
Adds support to train Neural Machine Translation models with Megatron Transformer models that support tensor parallelism.
**Collection**: NLP
# Changelog
- Add a `MegatronNMT` class that inherits from `MegatronLMEncoderDecoderModel` and overrides appropriate functions and calls class... | {
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It's ports ADLR implementation of RADTTS to NeMo.
It affects TTS collection. Specifically, TTS/Torch.
# Changelog
- Added modules, model, loss functions, and helper functions for RADTTS
# Usage
Their is two stage training which requires two config files that are found under /exa... | null | {
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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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Note, it is for discussion. **DON'T** approve and merge it. | {
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It's ports ADLR implementation of RADTTS to NeMo.
It affects TTS collection. Specifically, TTS/Torch.
# Changelog
- Added modules, model, loss functions, and helper functions for RADTTS
# Usage
Their is two stage training which requires two config files that are found under /exa... | {
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} | Signed-off-by: Megh Makwana [mmakwana@nvidia.com](mailto:mmakwana@nvidia.com)
# What does this PR do ?
Add new pretrained Hindi and Marathi ASR models (Conformer CTC Medium) to list_available_models and to documentation
Collection: [Note which collection this PR will affect]
ASR
# Changelog
Add new pretraine... | {
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I am trying to run the [ASR_with_Transducers](https://github.com/NVIDIA/NeMo/blob/stable/tutorials/asr/ASR_with_Transducers.ipynb) tutorials but it has a version incompatible issue.
At first, I tried to setup the Conda env by following the installation guide and this [instruction](https://github.com/NVIDIA... | {
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* Training for a maximum number of epochs (not maximum number of steps)
* Using more than 1 GPU worker
* Using `shard_strategy: scatter`
In the above case, the d... | {
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It affects TTS collection. Specifically, TTS/Torch.
# Changelog
- Added modules, model, loss functions, and helper functions for RADTTS
# Usage
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It's ports ADLR implementation of RADTTS to NeMo.
It affects TTS collection. Specifically, TTS/Torch.
# Changelog
- Added modules, model, loss functions, and helper functions for RADTTS
# Usage
Their is two stage training which requires two config files that are found under /exa... | {
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} | # What does this PR do ?
It's ports ADLR implementation of RADTTS to NeMo.
It affects TTS collection. Specifically, TTS/Torch.
# Changelog
- Added modules, model, loss functions, and helper functions for RADTTS
# Usage
Their are two stages of training which requires two config files that are found under... | {
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Thanks for the great job you are doing.
When trying to use NeuralModuleFactory, I have the following error:
ModuleNotFoundError: No module named 'nemo.core.NeuralModuleFactory'
I am stick and need your help on how to solve this problem.
Best regards | {
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https://github.com/NVIDIA/NeMo/blob/v1.0.2/tutorials/asr/01_ASR_with_NeMo.ipynb
I only replaced the data set to speech commands from "an4" as it seems the link for an4 is not working.
In the section "Using NeMo for Automatic Speech Recognition", the very first cell... | {
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Add megatron t5 xnli eval only script - it takes in finetuned checkpoint and output test results on test dataset.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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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
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# What does this PR do ?
Corrects links for asr tutorials
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
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} | # What does this PR do ?
Disables NVFUSER and gets global batch size from config in build dataset
**Collection**: NLP
# Changelog
- Comment out call that enables nvfuser in ngc container
- Get global batch size from config
# Usage
* You can potentially add a usage example below
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# What does this PR do ?
Changes the container for NeMo CI testing to support T5 PP CI tests. It uses the Pytorch 22.02 container with Apex built from a particular commit.
**Collection**: all
# Changelog
N/A
# Usage
N/A
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} | # What does this PR do ?
Improvements to documentation and code checks.
**Collection**: [Core,ASR]
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
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} | # What does this PR do ?
Added quick notes to the ends of several of the tutorial notebooks (asr, nlp, and tts) on deploying with Riva.
**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 ?
This PR adds a regex tokenizer (currently required by MegaMolBART).
**Collection**: `nemo.collections.common.tokenizers`
# Changelog
- `nemo/collections/common/tokenizers/regex_tokenizer.py`
- `tests/collections/nlp/test_regex_tokenizer.py`
# Usage
In order to build a regexp t... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Fixes a bug with T5 decoding present with encoder mask computation.
NOTE: This does not affect fine-tuning that calls `.decode()` directly. It only affects `.complete()`.
**Collection**: NLP
# Changelog
- One li... | {
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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
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https://api.github.com/repos/NVIDIA/NeMo/issues/3836 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3836/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3836/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3836/events | https://github.com/NVIDIA/NeMo/pull/3836 | 1,167,371,747 | PR_kwDOC_bI7s40WMJa | 3,836 | Fixing the defaults of conformer models in the config files | {
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} | # What does this PR do ?
Fixes the default values for the tokenizer type and add_start_end_token in the config files of Conformer models.
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https://api.github.com/repos/NVIDIA/NeMo/issues/3835 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3835/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3835/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3835/events | https://github.com/NVIDIA/NeMo/issues/3835 | 1,166,925,751 | I_kwDOC_bI7s5Fjd-3 | 3,835 | parse_dataset_as_name returns an empty string if a manifest is named "manifest.json" | {
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When instantiating a new model, in `nemo.utils.model_utils.parse_dataset_as_name`, if the name of the manifest passed is `manifest.json`, then eventually the manifest name will be empty and an index error will occur during this check:
```py
if '_' != name[-1]:
name = name + '_'
```
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https://api.github.com/repos/NVIDIA/NeMo/issues/3834 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3834/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3834/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3834/events | https://github.com/NVIDIA/NeMo/pull/3834 | 1,166,918,704 | PR_kwDOC_bI7s40Uwdv | 3,834 | Add text_generation_util to support TopK, TopP sampling + Tabular Data Generation. | {
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} | # What does this PR do?
Added the text_generation_util to support the MegatronLM way of text generation. It supports top_k, top_p sampling.
Added the Tabular Data tokenizer which recognizes the tabular data structure.
Added the unit test for column type encode and decode.
Added tabular data generation which c... | {
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} | # What does this PR do ?
Fixes model.transcribe() for multilingual models.
**Collection**: ASR
# Changelog
- multilingual models require language id for manifests during training. The transcribe method used to generate a transient
manifest that had 'nothing' as placeholder text. Replacing this placeholder t... | {
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`nemo_asr.models.EncDecCTCModelBPE.restore_from`
And I get this:
```
[NeMo E 2022-03-11 17:35:11 common:504] Traceback (most recent call last):
File "/root/.cache/pypoetry/virtualenvs/--IulmO6hw-py3.7/lib/python3.7/site-packages/nemo/core/class... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3831 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3831/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3831/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3831/events | https://github.com/NVIDIA/NeMo/issues/3831 | 1,166,609,055 | I_kwDOC_bI7s5FiQqf | 3,831 | gradient noise vs variational weight noise | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3830 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3830/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3830/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3830/events | https://github.com/NVIDIA/NeMo/pull/3830 | 1,166,535,380 | PR_kwDOC_bI7s40TjUY | 3,830 | Add new pretrained Spanish ASR models | {
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} | Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>
# What does this PR do ?
Add new pretrained Spanish ASR models (Citrinet 1024, Conformer CTC Large, Conformer Transducer Large, ContextNet 1024) to `list_available_models` and to documentation
**Collection**: [Note which collection this PR will affect]
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Thank you for your effort for these work. I have a little question about the split point of the input source. As mentioned in T5 paper, they choose a random point to split it into prefix and target portions. However, you set a specific length to split text sequence into two parts as shown in the following co... | {
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} | # What does this PR do ?
This PR adds functions and a tutorial about how to perform offline VAD before ASR.
Pipeline: audio -> [VAD] -> speech segments -> [ASR] -> segmented ASR output -> stitched ASR output
**Collection**: ASR
# Changelog
- Transcribe partial audio (for example speech segments) with manif... | {
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} | null | null | null | Thank you for providing a very good framework and solution for speaker recognition.
To understand more about it, I read through source code and paper. I want to clarify one of the calculation in `get_statistics_with_mask`. To calculate statistics, the variable name and description is `mean` while the implementation ... | {
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} | # What does this PR do ?
Use `data_parallel_size` appropriately.
**Collection**: [Note which collection this PR will affect]
# Changelog
-
# 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 revi... | {
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} | null | null | null | Hi, thanks for the great toolkit!
I'm training the conformer-transducer-medium on librispeech-960hr from scratch, following the config in `examples/asr/conf/conformer/conformer_transducer_bpe.yaml`
I use a sentencepiece unigram tokenizer with a vocab size of 1024 generated using the script in NeMo. The batch size... | {
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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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"merged_at": "2022-03-11T23:59:48"
} | # What does this PR do ?
Check what tests failed in FeatureFilterbanks.
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | # What does this PR do ?
GPT sampler has a typo.
**Collection**: NLP
# 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)
- [x] Did you write any new necessary tests?
- [x] Did you add... | {
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} | # What does this PR do ?
This PR adds multi-node eval for GPT. Also, it adds the ability to do GPT eval from PTL checkpoint. This is useful when models are very large.
**Collection**: NLP
# Usage
```python
python /code/examples/nlp/language_modeling/megatron_gpt_eval.py \
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https://api.github.com/repos/NVIDIA/NeMo/issues/3820 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3820/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3820/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3820/events | https://github.com/NVIDIA/NeMo/issues/3820 | 1,164,334,626 | I_kwDOC_bI7s5FZlYi | 3,820 | Error selecting speaker while inferencing | {
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} | null | null | null | Hi all.
I've trained FastPitch using both LJSpeech and my dataset, as it is suggested in the FastPitch_finetuning.ipynb colab. I've balanced the datasets by time instead of by number of samples. It turns out that the voice generated is from the woman of LJSpeech, not from my dataset.
While trying to execute the i... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3818 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3818/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3818/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3818/events | https://github.com/NVIDIA/NeMo/pull/3818 | 1,164,241,042 | PR_kwDOC_bI7s40MBZ6 | 3,818 | patch librosa deprecation and fix | {
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} | Signed-off-by: fayejf <fayejf07@gmail.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
Fix the deprecation of librosa get_duration in vad_utils.py and fix the error happened in http://10.110.40.131:8080/blue/organizations/jenkins/NeMo/detail/PR-3771/8/pipeline
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https://api.github.com/repos/NVIDIA/NeMo/issues/3815 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3815/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3815/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3815/events | https://github.com/NVIDIA/NeMo/pull/3815 | 1,163,818,296 | PR_kwDOC_bI7s40Knx7 | 3,815 | bert_module: fix inputs of export model | {
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} | Exported ONNX model had to be passed with "attention_mask" and
"token_type_ids" inputs swapped to get correct output.
Changing the input order fixes this issue.
Also return a dict instead of list for correctly passing inputs.
# What does this PR do ?
Fix swapped model inputs for exported ONNX/TRT model.
*... | {
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