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"Cannot root cause why DCO fails"
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https://api.github.com/repos/NVIDIA/NeMo/issues/1888 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1888/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1888/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1888/events | https://github.com/NVIDIA/NeMo/pull/1888 | 828,589,347 | MDExOlB1bGxSZXF1ZXN0NTkwMzgwMDk0 | 1,888 | Update ASR pretrained models | {
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} | # Changelog
- Add pretrained model info for CTC, CTC-BPE models
- ^ for ASR Classificiation models
- Remove old reference to QuartzNet15x5Base-En
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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"This pull request **introduces 1 alert** when merging 4a0ca9b202c7c01f9d827cf392f0cd7cbb3af566 into 5d80627ca696384dc16e462f1e17efd33917a9dd - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-119caa9229f75b6c349ae1b681724d504f3e2940)\n\n**new alerts:**\n\n* 1 for Unused local variable"
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} | …ti gpu bug
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"@xaiguy Can you please clarify what do you mean by \"custom NeMo model\"? \r\nEvery TLT model can be exported to Jarvis. But NeMo contains more models than TLT, including many \"research\" ones which can't be deployed to Jarvis yet.\r\n \r\nWe are constantly increasing the number of models supported by Jarvis by a... | 2021-03-10T23:55:59 | 2021-03-11T19:36:34 | 2021-03-11T19:36:34 | NONE | {
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I'm currently looking into Jarvis and haven't found a pre-built way to export my custom NeMo models to .ejrvs format yet, only for TLT. Several sources (including https://developer.nvidia.com/nvidia-nemo) state that it's possible with a single command. If anyone knows the magic words, please let me ... | {
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- Update ASR Tarred dataset creation to support metadata
- Add more tarfiles to dataset
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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"Wrong branch"
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- Update ASR Tarred dataset creation to support metadata + add more tarfiles to dataset
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"> if the encoders & decoders are basically the same thing, would it make sense to have a single file that they import blocks from?\r\n\r\nThat is already happening to a good extent ... | 2021-03-10T17:29:24 | 2021-03-11T17:26:08 | 2021-03-11T17:26:03 | CONTRIBUTOR | {
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- Custom dataset creation instructions
- Local & NGC checkpoint loading instructions and examples
- Additional info on intro page
- `configs.rst`: details about nemo_asr model configs (dataset, preprocessor, augmentation, per-model configs)
- Some missing modules in the API | {
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"This pull request **introduces 9 alerts** when merging 8abd6c6c4439cc5ce3e1e65f5dfb1950faecceaf into e8912ca6e3321347272a6a7da18e052812fb2062 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-57eaca60590a915a6de70d40a43478f84286be8b)\n\n**new alerts:**\n\n* 9 for Unused import",
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} | This PR will add HuggingFace Encoder support to NeMo NMT.
When training NeMo NMT models, users can now:
- Download pretrained model from HF and use it for NMT automatically
- The NMT data preprocessor will automatically use the tokenizer associated with pretrained when preprocessing the data
- The HF encoder c... | {
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"I did not played enough with that, but my first impression it was that with my studio microphone without dynamic compression and leveling, already was worst. Therefore at the beginning I will use with hardware dynamic compression. Once I am sure that this is the biggest issue, then I will make this compression in ... | 2021-03-09T12:06:30 | 2021-04-28T00:13:47 | 2021-04-28T00:13:46 | NONE | {
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Trying to run the Nemo for the audio recorded with the phone /zoom meeting , but the text output is very bad, the same audio which has been recorded with good microphone ,the text output is exact.
Can i know is there any reference for audio quality ? how to check the quality of the audio or how to use ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1869 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1869/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1869/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1869/events | https://github.com/NVIDIA/NeMo/pull/1869 | 825,121,479 | MDExOlB1bGxSZXF1ZXN0NTg3MjQ3MDI2 | 1,869 | After upgrading P.Lightening to 1.2.3, remains other incompatibilities with torch 1.8.0. A workaround until is sorted out all, is to stick with torch 1.7.1. | {
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"thanks again @tiborkiss but we'll close this one for now because we can't pin torch version to the exact number like 1.7.1 We could add something like this right before upload to pypi though."
] | 2021-03-09T00:59:02 | 2021-03-10T22:35:14 | 2021-03-10T22:35:14 | NONE | {
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} | … pull down 1.8.0. https://github.com/PyTorchLightning/pytorch-lightning/pull/6168
This diff temporarily solves the imported incompatibility reported in https://github.com/NVIDIA/NeMo/issues/1868
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"PTL was recently fixed this problem here: https://github.com/PyTorchLightning/pytorch-lightning/commit/60d0c95e07b8edfa22f5892ebb72d93b1d35832f \r\nand they released `pytorch-lightening` 1.2.3 .\r\n\r\nTherefore I updated in `requirements/requirements.txt`\r\n```\r\n-pytorch-lightning>=1.1.0,<=1.1.5\r\n+pytorch-li... | 2021-03-09T00:18:07 | 2021-03-24T06:47:40 | 2021-03-16T23:09:07 | NONE | {
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} | null | null | null | **Describe the bug**
Due to `torch` 1.8.0 just was released a few days ago, `pytorch-lightning` is still incompatible with the new torch.
Since NeMo setup pulls the latest stable torch release, imports this problem.
The problem is not visible during the install, but when using `pytorch-lightning` within NeMo tutor... | {
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"This is a pytorch lightning issue, please downgrade to 1.2.1 for the time being until they are able to support pytorch 1.8 as well as it's dependency of torchtext",
"> This is a pytorch lightning issue, please downgrade to 1.2.1 for the time being until they are able to support pytorch 1.8 as well as it's depend... | 2021-03-09T00:05:17 | 2021-04-20T05:33:49 | 2021-04-20T05:33:49 | NONE | {
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I have some problems trying NeMo. I want to setup an environment on a Linux machine but after the installation of nemo_toolkit, the import (_import nemo.collections.nlp as nemo_nlp_) keeps rejecting an error:
**ImportError: cannot import name 'Batch' from 'torchtext.data' (/usr/local/lib/python3.7/... | {
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} | Here, added export tp NMT's encoder and decoder.
The design decision is is to have those 2 parts explicitly exportable, instead of having whole model's export() produce 2 files.
Test added. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1863 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1863/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1863/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1863/events | https://github.com/NVIDIA/NeMo/pull/1863 | 824,936,528 | MDExOlB1bGxSZXF1ZXN0NTg3MDkwMjE1 | 1,863 | EnJa tokenize output format fix | {
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"buncha tests are failing but i dont think theyre related to this pr "
] | 2021-03-08T20:44:31 | 2021-03-08T22:42:53 | 2021-03-08T22:42:47 | CONTRIBUTOR | {
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} | ~preprocessor `tokenize(txt)` methods should probably return a list of tokens, not a string. these can then be converted into ids without the intermediate steps of producing a string and then immediately splitting it for the tokens again, as was being done in `translate`~
it turns out that `text_to_ids(txt)` acts di... | {
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} | NMT DDP training is hanging after training for a few epochs. This hanging is likely due to validation metrics becoming out of sync.
See the PTL discussion here: https://github.com/PyTorchLightning/pytorch-lightning/issues/5604
Was able to train for over 24 epochs with 4 GPUs without hanging.
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} | fix syntax | {
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"Commits not signed."
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"thanks!"
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"@okuchaiev Maybe there is some information on this issue? Thanks!",
"There are several notebooks for transfer learning char and subword models in Nemo now, please have a look and reopen the issue if they are insufficient. "
] | 2021-03-06T14:12:12 | 2021-08-17T01:02:04 | 2021-08-17T01:02:04 | NONE | {
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} | null | null | null | Hello!
Thank you for this opensource product!
I want to try fine-tune model **QuartzNet15x5NR-En** to Russian language. This article [Transfer learning from English to Russian](https://developer.nvidia.com/blog/jump-start-training-for-speech-recognition-models-with-nemo/) is good practice for my experiment, but i hav... | {
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"This pull request **introduces 1 alert** when merging 9de7bc589925be7b77ffcaa8fad5ffe14115971e into 74a1ed8618872d331fcea3133d47b8b3552c435f - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-9075874939d4e184867f5ce3384215d359cffa1d)\n\n**new alerts:**\n\n* 1 for Unused local variable",
"This pu... | 2021-03-06T03:18:40 | 2021-03-29T05:59:53 | 2021-03-29T05:59:50 | COLLABORATOR | {
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} | # Changelog
- Add Numba CUDA + CPU kernels for RNNT Loss ported from https://github.com/HawkAaron/warp-transducer
- Add tests for CUDA + CPU kernels + reference numpy implementation.
# Todo:
- [x] Add documentation for all kernels and wrapped modules
- [x] Add Typing information to `RNNTLossNumba` (Done by resol... | {
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"@okuchaiev done"
] | 2021-03-05T21:50:52 | 2021-03-06T03:13:23 | 2021-03-06T01:07:16 | COLLABORATOR | {
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} | # Changelog
- Freeze internal modules when transcribing data so as to prevent graph from accumulating data during loop
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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"Hi, restoring NLP models can be complicated as there are potentially many different artifacts needed for restore. This is why we've created the .nemo file and .restore_from. We mainly use the PyTorch Lightning Checkpoints to auto-resume from training. They can be used in other workflows outside of NeMo, but then t... | 2021-03-05T19:50:19 | 2021-03-12T17:36:13 | 2021-03-12T17:36:13 | CONTRIBUTOR | {
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After training token classification model, several checkpoints .ckpt were generated along with .nemo. Load .nemo is ok. But I tried to load checkpoints via:
```
nemo_nlp.models.TokenClassificationModel.load_from_checkpoint(my_chk_path)
```
but give an Error:
```
No such file or ... | {
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} | * Remove EFF save/restore routes
* This PR also fixes some Copyright Headers
* Once we can take EFF dependency we will use EFF.Archive directly
Signed-off-by: Oleksii Kuchaiev <okuchaiev@nvidia.com> | {
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* Adds ASR with Speaker Diarization tutorial notebook that outputs transcripts with speaker label along with time stamps
Sample output:
`speaker_0 [0.40 - 2.62 sec] eleven twenty seven fifty seven`
`speaker_1 [3.20 - 5.02 sec] october twenty fourth nineteen s... | {
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} | # Bugfix
- Older checkpoints might not have the `tokenizer.vocab` file when using SentencePiece tokenizers. This will cause model restoration to fail.
- Wrap in a try catch that catches ModelPT raised FileNotFoundError for this particular case to enable backward compatibility
Signed-off-by: smajumdar <titu1994@gma... | {
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"Suggestion to change the folder name from speaker_diarization to speaker_recognition in scripts.\r\nI couldn't comment on unchanged files. Some links in speaker recognition notebooks point to these scripts. \r\nSome of them:\r\n\r\n> in tutorials/Speaker_Recognition_Verification.ipynb\r\n\r\n* get_hi-mia-data.py (... | 2021-03-04T07:20:13 | 2021-05-03T21:54:42 | 2021-03-10T23:24:00 | COLLABORATOR | {
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- Add tokenizer generator flag to limit the maximum length of subwords generated | {
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"Thanks @ekmb , just did :) ",
"yes please, this looks like bugfix for r1.0.0rc1",
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https://api.github.com/repos/NVIDIA/NeMo/issues/1835 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1835/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1835/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1835/events | https://github.com/NVIDIA/NeMo/pull/1835 | 821,422,968 | MDExOlB1bGxSZXF1ZXN0NTg0MjE1NzA2 | 1,835 | Fix enja decoding (round 2) | {
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} | after trying hard to make yttm and spm play nicely together, i am giving up on the latter. the en<>ja pipeline is now moses -> yttm. from what i can see, this fixes tokenization & detokenization issues we were seeing (eg, `'` was being split apart incorrectly during tokenization, preventing it from being detokeniz... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1834 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1834/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1834/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1834/events | https://github.com/NVIDIA/NeMo/pull/1834 | 821,396,464 | MDExOlB1bGxSZXF1ZXN0NTg0MTk0MzM2 | 1,834 | fix nlp typos in notebooks | {
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"Looks like you fixed it in #1836. Closing this one"
] | 2021-03-03T19:01:22 | 2021-03-04T16:43:01 | 2021-03-04T16:42:54 | CONTRIBUTOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1833 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1833/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1833/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1833/events | https://github.com/NVIDIA/NeMo/issues/1833 | 820,944,942 | MDU6SXNzdWU4MjA5NDQ5NDI= | 1,833 | Bug in the Text_Classification_Sentiment_Analysis notebook when using wietsedv/bert-base-dutch-cased config | {
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When im trying to run the sentiment notebook in the main branch I can perfectly use the bert-base-uncased and bert-base-multilingual-uncased models and finetune on our data. However, when we run the wietsedv/bert-base-dutch-cased model we get the following error: Index out of range in self. To me it seems lik... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1832 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1832/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1832/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1832/events | https://github.com/NVIDIA/NeMo/pull/1832 | 820,795,576 | MDExOlB1bGxSZXF1ZXN0NTgzNjk1Nzk2 | 1,832 | bug removed : onnx file was not getting added to the tarfile (.enemo) | {
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"This pull request **fixes 1 alert** when merging aebab0e12600a6fa4be346c88112a88716f7dc42 into 79bef5681e9023287c8a839b3eb5d0bad25dd3eb - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-427bb1d02f76b9b8378adc5f5b98f401e4e73e54)\n\n**fixed alerts:**\n\n* 1 for Unused import",
"This pull request ... | 2021-03-03T06:30:46 | 2021-03-04T20:40:00 | 2021-03-04T20:40:00 | CONTRIBUTOR | {
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} | **What was wrong** : renaming and adding onnx to tar was not working
**How solved** : make a temp copy of the file rename and add to tar(.enemo). cleanup extra file
**Nvidia internal bug** : 200706409 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1831 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1831/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1831/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1831/events | https://github.com/NVIDIA/NeMo/pull/1831 | 820,574,986 | MDExOlB1bGxSZXF1ZXN0NTgzNDk2NTQw | 1,831 | Patch ASR Notebooks | {
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"@redoctopus Ignore the huge diff for speech commands (notebook 3). Switched it to Colab compatible notebook."
] | 2021-03-03T02:31:24 | 2021-03-03T17:22:38 | 2021-03-03T17:22:35 | COLLABORATOR | {
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} | # Changelog
- Fixes for notebook
- Add back image for CTC alignments
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1830 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1830/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1830/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1830/events | https://github.com/NVIDIA/NeMo/pull/1830 | 820,443,394 | MDExOlB1bGxSZXF1ZXN0NTgzMzg2MzQ5 | 1,830 | Update TTS Docs for RC1 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1829 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1829/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1829/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1829/events | https://github.com/NVIDIA/NeMo/pull/1829 | 820,441,703 | MDExOlB1bGxSZXF1ZXN0NTgzMzg0OTE4 | 1,829 | Fixing NMT DDP override that no longer works with PTL 1.2 | {
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"thanks @ericharper !",
"This pull request **introduces 3 alerts** when merging 9dcc1f64b1c17437a1403e44e44ef03cfce3e122 into 79bef5681e9023287c8a839b3eb5d0bad25dd3eb - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-70210a020f64159d504b1a88930512edba534cf8)\n\n**new alerts:**\n\n* 3 for Unused ... | 2021-03-02T22:26:08 | 2021-03-03T22:08:42 | 2021-03-03T20:50:09 | COLLABORATOR | {
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} | Also, need to update/add tests that would have caught this problem. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1828 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1828/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1828/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1828/events | https://github.com/NVIDIA/NeMo/issues/1828 | 820,380,933 | MDU6SXNzdWU4MjAzODA5MzM= | 1,828 | PTL 1.2.0 upgrade breaks draco training | {
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"This should be fixed on main now: https://github.com/NVIDIA/NeMo/pull/1829\r\n\r\nPlease let use know if there are still issues.",
"Closing, reopen if needed"
] | 2021-03-02T20:51:08 | 2021-03-12T15:58:34 | 2021-03-12T15:58:34 | CONTRIBUTOR | {
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```
Traceback (most recent call last):
File "/home/dcg-adlr-mchrzanowski-source/NeMo/examples/nlp/machine_translation/enc_dec_nmt.py", line 127, in main
trainer.fit(mt_model)
File "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/trainer/trainer.py", line 471, in fit
... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1827 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1827/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1827/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1827/events | https://github.com/NVIDIA/NeMo/pull/1827 | 820,282,737 | MDExOlB1bGxSZXF1ZXN0NTgzMjUxOTM0 | 1,827 | Fix for variable names in tarred dataset creation | {
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} | Fixes a bug in the variable names when creating tarred parallel datasets. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1826 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1826/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1826/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1826/events | https://github.com/NVIDIA/NeMo/pull/1826 | 820,201,181 | MDExOlB1bGxSZXF1ZXN0NTgzMTg1MTQ3 | 1,826 | WIP: intent/slot training with separate datasets | {
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"If only intents are available, please use the text classification model. If only slots - token classification model.",
"@ekmb the goal here is to train a single model capable of predicting both intents and slots, for use in the botmaker framework. We want users to be able to train the model even if they don't ha... | 2021-03-02T16:54:08 | 2021-07-20T02:26:22 | 2021-07-20T02:26:22 | CONTRIBUTOR | {
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} | Requesting early feedback on the approach.
The purpose of these changes is to allow the joint intent/slot model to be trained on data where only slots are labeled or only intents are labeled.
* Users can supply _up to_ three labeled data sets: one with only slots labeled, one with only intents labeled, and one ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1825 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1825/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1825/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1825/events | https://github.com/NVIDIA/NeMo/issues/1825 | 820,062,543 | MDU6SXNzdWU4MjAwNjI1NDM= | 1,825 | [Question] How to use exported ASR model? | {
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"Is there any progress on this issue? I am currently trying to run inference for QuartzNet model using ONNX. I used EncDecCTCModel.export to export my model in ONNX format and using onnxruntime to do inference as follows:\r\n\r\n```\r\nsess = onnxruntime.InferenceSession(\"model.onnx\")\r\npred = sess.run(None, {i... | 2021-03-02T14:19:22 | 2024-12-29T07:06:05 | 2021-07-13T15:23:46 | NONE | {
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To make it work fo... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1824 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1824/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1824/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1824/events | https://github.com/NVIDIA/NeMo/issues/1824 | 819,756,451 | MDU6SXNzdWU4MTk3NTY0NTE= | 1,824 | [Question] When is the latest beta version going to be on PyPI? | {
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"You can use pip install --upgrade nemo_toolkit[all] to get the latest version now."
] | 2021-03-02T08:06:56 | 2021-06-19T04:38:59 | 2021-06-19T04:38:59 | NONE | {
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I would like to experiment with the latest version of NeMo, v1.0.0b4, however due to some firewall issues at my workplace I can only install through PyPI and not from Github.
Do you have any plan to release that version on PyPI in the near future?
Thanks! | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1823 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1823/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1823/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1823/events | https://github.com/NVIDIA/NeMo/issues/1823 | 819,577,195 | MDU6SXNzdWU4MTk1NzcxOTU= | 1,823 | Tried to restore a nemo model after 3 months, but can't do it just like I used to. | {
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"can you try ``pip install nemo_toolkit['all']==1.0.0rc1`` ?",
"I just tried it and it works. Thank you very much, I was waiting literally like 2 months for this helpful answer. Can you please explain what's the difference between `pip install nemo_toolkit['all']==1.0.0rc1`, `!pip install nemo_toolkit[all]==1.0.0... | 2021-03-02T03:46:23 | 2021-05-13T03:05:06 | 2021-05-13T03:05:06 | NONE | {
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} | null | null | null | I trained **EncDecCTCModel** model with Mozilla Voice Project dataset like 3 months ago and save it by `.save_to` and I used to restore it by `nemo.collections.asr.models.EncDecCTCModel.restore_from(restore_path=_path_to_nemo_model_)`. I didn't have any problem at that moment and I stopped working on that project.
... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1822 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1822/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1822/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1822/events | https://github.com/NVIDIA/NeMo/pull/1822 | 819,574,193 | MDExOlB1bGxSZXF1ZXN0NTgyNjY0OTc4 | 1,822 | Add SPE support for huge dataset corpus | {
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} | # Changelog
- Add flags to subsample text + use special SPE flags
- Update notebook docs | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1821 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1821/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1821/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1821/events | https://github.com/NVIDIA/NeMo/pull/1821 | 819,322,471 | MDExOlB1bGxSZXF1ZXN0NTgyNDQ4ODg4 | 1,821 | Add SPE tokenizer.vocab to registered archive | {
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} | Signed-off-by: smajumdar <titu1994@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1820 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1820/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1820/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1820/events | https://github.com/NVIDIA/NeMo/pull/1820 | 819,107,565 | MDExOlB1bGxSZXF1ZXN0NTgyMjYxNTM0 | 1,820 | Fix enja decoding | {
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"@mchrzanowski can you please send these changes to ``batch_translate`` branch?",
"Will do at some point soon. don’t let me block you for now and merge away;\nI’ll fix things in a subsequent pr later\n\nOn Mon, Mar 1, 2021 at 16:53 Oleksii Kuchaiev <notifications@github.com>\nwrote:\n\n> @mchrzanowski <https://gi... | 2021-03-01T17:53:12 | 2021-03-02T21:07:34 | 2021-03-02T21:07:34 | CONTRIBUTOR | {
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} | the current en<>ja preprocessing pipeline is being shifted to using integers for intermediate steps. this will avoid tokenization issues between yttm, sentencepiece, and sacremoses due to parsing incomptabilities. this PR changes the detokenization to deal with integer inputs and output tokens only at the end. | {
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"Please look into Nvidia Jarvis - https://developer.nvidia.com/nvidia-jarvis"
] | 2021-02-27T12:48:20 | 2021-07-13T15:23:15 | 2021-07-13T15:23:15 | NONE | {
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} | null | null | null | **Describe your question**
seeking guidelines from the community for improving QuartzNet for production:
1. different accents, for example, US/UK/AU English
2. filler words, for example, um; ah
3. domain words, for example, company names, finance terms
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https://api.github.com/repos/NVIDIA/NeMo/issues/1817 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1817/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1817/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1817/events | https://github.com/NVIDIA/NeMo/pull/1817 | 817,776,388 | MDExOlB1bGxSZXF1ZXN0NTgxMjE1NzI4 | 1,817 | check if attr exist | {
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} | Bert LM model doesn't necessarily have the tokenizer in the config. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1814 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1814/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1814/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1814/events | https://github.com/NVIDIA/NeMo/pull/1814 | 817,644,827 | MDExOlB1bGxSZXF1ZXN0NTgxMTAyODQw | 1,814 | diarization tutorial | {
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* Adds diarization tutoria
* Modify clustering diarizer to support pretrained speakernet and marblenet models | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1812 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1812/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1812/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1812/events | https://github.com/NVIDIA/NeMo/pull/1812 | 817,580,658 | MDExOlB1bGxSZXF1ZXN0NTgxMDQ5NzI0 | 1,812 | Applying PR 1794 to r1.0.0rc1 | {
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} | PR https://github.com/NVIDIA/NeMo/pull/1794 is important for nemo saving but was applied to the main branch only; for most of us, the working branch is r1.0.0rc1. This PR applies the same change to this branch.
Signed-off-by: mchrzanowski mike.chrzanowski0@gmail.com
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https://api.github.com/repos/NVIDIA/NeMo/issues/1811 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1811/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1811/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1811/events | https://github.com/NVIDIA/NeMo/issues/1811 | 817,530,539 | MDU6SXNzdWU4MTc1MzA1Mzk= | 1,811 | [Question] FileNotFoundError in Relation Extraction w/ BioMegatron | {
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> FileNotFoundError: Could not find tokenizer.vocab_file
after running cell `model = nemo_nlp.models.TextClassificationModel(cfg=config.model, trainer=trainer)`. This happens both when I run the notebook on colab or on my loc... | {
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"This was fixed here: https://github.com/NVIDIA/NeMo/pull/1808"
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} | This PR does the following:
* Makes sure that all pipeline pieces are create inside the constructor: src_normalizer, src_pre_tokenizer, encoder/decoder_tokenizers, tgt_post_tokenizer. This is necessary for their artifacts to be handled correctly and be included in .nemo file
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} | 1) hotfix for https://github.com/NVIDIA/NeMo/pull/1801. one call to `get_detokenizer` wasn't updated.
2) @MaximumEntropy noticed that the previous logic would apply the en/ja preprocessing in the case that the user did src == tgt (for whatever reason they wanted to do this). The current logic fixes this. | {
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} | Megatron-LM is not using the vocab file specified by the user. This PR fixes that. | {
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* Add speaker diarization tutorial | {
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... | 2021-02-25T18:46:21 | 2021-02-25T22:15:36 | 2021-02-25T22:15:36 | CONTRIBUTOR | {
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} | The current japanese and english pre and post processing pipelines are shared. However, that wasnt reflected in the nemo code. This PR rectifies this discrepancy and makes sure english is processed the same way as japanese text is whenever the source or target language is the latter. | {
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"The training loss is near 150~ after two epochs. You need to train longer so that loss drops to around 50-80 or lower before tokens actually appear. \r\n\r\nThe first phase of CTC learning is to learn to predict all blank tokens. ",
"Thank you very much!\r\nI am going to train more longer.",
"I got a better re... | 2021-02-25T14:04:21 | 2021-03-01T12:02:06 | 2021-03-01T12:02:05 | NONE | {
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I have used the JSUT (Japanese speech corpus of Saruwatari-lab., University of Tokyo) data set to train the ASR model.
I set `normalize_transcript` parameter of train_ds and validation_ds to False.
```
params['model']['train_ds']['manifest_filepath'] = train_manifest
params['model']['train_ds']['normalize_... | {
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"This pull request **introduces 4 alerts** when merging e137574cbe6348159a8b4366afc9a13fe013a805 into db5a787f460d67f0cd89b400cf81826fa2cc9ed6 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-d995225ae3f70723701e1bbfd5fc23850e9055a6)\n\n**new alerts:**\n\n* 2 for Unused import\n* 1 for Mismatch i... | 2021-02-25T14:00:10 | 2021-08-17T14:36:48 | 2021-03-23T14:36:31 | CONTRIBUTOR | {
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} | This PR ports the [DLE FastPitch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch) model ([arxiv](https://arxiv.org/abs/2006.06873)). There is an example of training in `examples/tts/fastpitch.py`, and inference with a `.nemo` model has been tested.
Issuess for full integ... | {
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} | Signed-off-by: nithinraok <nithinrao.koluguri@gmail.com>
* checkpoint `last` name fix | {
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} | * added nemo_tools sub package with python requirements and setup.sh
* added doc strings
* added text denormalization to nemo_tools
* added pytests and pynini tests
* added export option for inverse text normalization to NeMo/tools | {
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"Could you make sure that at any point only 1 \".nemo\" file is saved ? We dont want to clutter with dozens of nemo + dozens of PTL checkpoints for consecutive runs. ",
"> Could you make sure that at any point only 1 \".nemo\" file is saved ? We dont want to clutter with dozens of nemo + dozens of PTL checkpoints... | 2021-02-24T22:30:49 | 2021-02-26T00:03:19 | 2021-02-26T00:03:19 | CONTRIBUTOR | {
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} | Right now we only get a `.nemo` file when the training is finished. However, it is common to let training continue for an unspecified amount of epochs and just stop when the training stops improving, in which case we'd never get a `.nemo` file.
This commit adds the option save the nemo file whenever a checkpoint is... | {
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* Pytorch Lightening links fix
* renamed get_spkr_emb.py to extract_speaker_embeddings.py
* Added helper speaker_reco_infer.py example script to get labels from trained speaker recognition model
* Added get_hi-mia.py script. (use to be part of old nemo -> ... | {
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"I cannot understand how to fix\r\n```\r\n==================================== ERRORS ====================================\r\n\r\n_______________ ERROR collecting examples/tts/test_tts_infer.py ________________\r\n\r\nImportError while importing test module '/home/mrjenkins/workspace/NeMo_PR-1791/examples/tts/test_... | 2021-02-24T15:33:34 | 2021-03-04T17:06:24 | 2021-02-27T05:08:05 | CONTRIBUTOR | {
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The script `filter_langs_nmt.py` did not work on monolingual data. This pull request fixes the bug. | {
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} | This PR refactors some of the fetching of tokenizers, normalizers, and detokenizers within the model and creates Chinese/Japanese tokenizer and detokenizer classes to match Moses semantics. | {
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