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Signed-off-by: smajumdar <titu1994@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1787 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1787/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1787/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1787/events | https://github.com/NVIDIA/NeMo/issues/1787 | 815,046,590 | MDU6SXNzdWU4MTUwNDY1OTA= | 1,787 | how to compute log filter bank energy in audio_preprocessing (asr collection in nemo) compare with python_speech_feature? | {
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"In FilterbankFeatures class we extend time length features to multiples of `pad_to` value here 16(default) for faster processing. Try changing that to -1 and try again. "
] | 2021-02-24T03:20:46 | 2021-05-28T08:40:54 | 2021-05-28T08:40:54 | NONE | {
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this is my code:
```
# load audio data by librosa
path_audio = "audio_a.wav"
y, sr = librosa.load(path_audio, sr=16000, offset=0.5, duration=0.4)
# load audio data by torch audio
audio_... | {
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"This pull request **introduces 2 alerts** and **fixes 2** when merging 072d52065e9037808be763b0750644bfd8af655b into cc4bfc06993326fcd8bb978460754b89026341ff - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-f732130f599d696fda78aa55922c86c8d40e6c8a)\n\n**new alerts:**\n\n* 2 for Unused import\n\n... | 2021-02-24T02:26:56 | 2021-02-25T20:21:49 | 2021-02-25T20:18:37 | COLLABORATOR | {
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} | # Changelog
- Add single script to allow transcription of all ASR models
- Add subclass walk for finding all Pretrained models of ASRModel.
- Add dataclasses for RNNT Decoding strategy
# Usage
```python
python transcribe_speech.py \
model_path=null \ # path to a nemo file
pretrained_name=null \ ... | {
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} | # Changelog
- Fix Model Primer notebook with container support in typecheck
- Doc fixes for all domains to RC1 branch | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1779 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1779/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1779/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1779/events | https://github.com/NVIDIA/NeMo/issues/1779 | 812,754,059 | MDU6SXNzdWU4MTI3NTQwNTk= | 1,779 | Trying to use wav2vec model with nemo | {
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"``.restore_from`` only works with ``.nemo`` files. You can try loading regular Pytorch weights via regular Pytorch load_state_dict methods because any NeMo model is a Pytorch module",
"Thank you very much ! ",
"this error occurs when ```restore_from``` with ```.nemo ``` files.\r\n```sh\r\nasr_model = nemo_asr.... | 2021-02-21T02:19:40 | 2024-01-03T18:23:30 | 2021-04-23T23:49:56 | NONE | {
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} | null | null | null | Hello everyone,
I'm trying to use wav2vec model that I downloaded from the following link ( https://dl.fbaipublicfiles.com/fairseq/wav2vec/xlsr_53_56k.pt ) which corresponds to the multilingual pre-trained wav2vec. I tried to load it with the following command:
```
from nemo.collections.asr.models.wav2vec.wav2vec_m... | {
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"You can use from_pretrained(..., map_location=\"cpu\")",
"closing, please re-open is @titu1994 's suggestion did not help."
] | 2021-02-20T10:47:58 | 2021-02-23T18:22:29 | 2021-02-23T18:22:29 | NONE | {
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} | null | null | null | **Describe the bug**
Loading `Jasper10x5Dr-En` model fails on a system without a GPU.
**Steps/Code to reproduce bug**
Notebook with example:
https://colab.research.google.com/drive/1NDzwQl0KyOOYPheW60colRD2Sm8Ng_vD?usp=sharing
**Expected behavior**
NeMo should detect that GPU is not available and load... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1777 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1777/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1777/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1777/events | https://github.com/NVIDIA/NeMo/pull/1777 | 812,533,477 | MDExOlB1bGxSZXF1ZXN0NTc2ODgwNzM0 | 1,777 | Update/Fix for classification models | {
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"just to confirm that this is not a bugfix for rc1? ",
"@okuchaiev Part of this (Point 2) should be fixed in RC but this might raise conflict and not very essential (just logging), so we decide to merge it to main. I could split it and merge to RC if it's better. ",
"Split this PR into two please. Bugfix to R... | 2021-02-20T06:47:27 | 2021-03-16T03:42:19 | 2021-03-12T22:13:55 | COLLABORATOR | {
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} | 1. Change self.log(tensorboard_logs) and remove the 'log' part in the return requested in PR #[1707](https://github.com/NVIDIA/NeMo/pull/1707)
2. Fix for logging for top-k acc metrics
3. Fix **tarred** dataloader for speech regression support
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"Overall it's good to go from me",
"this change broke training on draco"
] | 2021-02-19T18:08:26 | 2021-03-02T20:31:30 | 2021-03-01T22:10:08 | COLLABORATOR | {
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} | Update LogEpochTimeCallback
Update CallbackParams | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1773 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1773/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1773/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1773/events | https://github.com/NVIDIA/NeMo/pull/1773 | 811,737,492 | MDExOlB1bGxSZXF1ZXN0NTc2MjE5MTk0 | 1,773 | Fix typo in Primer Notebook + Update version | {
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} | # Changelog
- Correct Primer notebook version | {
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"> ```python\r\n> change_decoding_strategy\r\n> ```\r\n\r\n+ Can we call the change_decoding_strategy automatically in the transcribe method if necessary so that user does not need to do that?\r\n\r\n+ Why do we have setting preserve_alignments for for RNNT but not CTC?\r\n\r\n+ Why do we need to use asr_model.deco... | 2021-02-19T02:18:49 | 2021-03-02T00:31:44 | 2021-03-02T00:31:42 | COLLABORATOR | {
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} | # Changelog
- Adds support for CTC/RNNT models to compute alignments for their respective decoding schemes. Valid schemes listed below.
- Adds support for CTC models to return a `Hypothesis` object that contains additional information about the decoded / transcribed tensor.
- Adds test for hypothesis in CTC
## Va... | {
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"Yes you can either add it to config and call the script or while calling the script you may give test_ds options as command line arguments prepended `+`. For reference look at hydra config https://hydra.cc/docs/tutorials/basic/your_first_app/config_groups ",
"Thanks for your answer, Nithin! I did an experiment w... | 2021-02-18T08:27:49 | 2021-02-19T01:18:06 | 2021-02-19T01:18:06 | NONE | {
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} | null | null | null | Hi!
I am just getting started with `NeMo`, and got a little confused when experimenting with `spkr_get_emb.py`, it appears one will need to use `SpeakerNet_verification_3x2x512.yaml` config and set up `cfg.model.test_ds`, however in this configuration, there is no `test_ds`. Was this an error or does this mean one n... | {
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} | - [x] Merge with main
- [x] Use HiFiGAN modules
- [x] Use our FS2 modules | {
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"I am unable to generate vectors of audio files using trained wav2vec model checkpoints. What is the specific method to call to extract features of any input audio files. @titu1994 @okuchaiev ",
"@SeanNaren and @VahidooX ",
"I have created a class named ExtractWav2VecEmbeddingsModel using BaseClass Wav2VecEncod... | 2021-02-17T12:47:16 | 2022-04-05T23:34:53 | 2022-04-05T23:34:53 | NONE | {
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} | null | null | null | I have tried to train wav2vec model using language other than English. I refered to example scripts provided in `/examples/asr/experimental/wav2vec/wav2vec_pretrain.py` [link](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/experimental/wav2vec/wav2vec_pretrain.py)
Models are saved in a experiment directory... | {
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"This pull request **fixes 3 alerts** when merging 0bc9d88cc28dbdb604348502888931556acde702 into 7d8b7d679a2a4c9d3a6b2d8def8888e53c804ded - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-1f5d9f48dd6cb74ec4d5390dc1d8290bf990ed9d)\n\n**fixed alerts:**\n\n* 2 for Unused local variable\n* 1 for Unuse... | 2021-02-17T02:32:16 | 2021-05-03T21:57:33 | 2021-02-25T19:53:18 | COLLABORATOR | {
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} | It is necessary to support class_balancing in TTL. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1760 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1760/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1760/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1760/events | https://github.com/NVIDIA/NeMo/pull/1760 | 809,667,796 | MDExOlB1bGxSZXF1ZXN0NTc0NDkxNDY4 | 1,760 | Update webdataset call to support v0.1.48 | {
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"@ericharper Can you pull this branch and verify NMT models have no issue running their WebDataset training on some toy / small dataset?\r\n\r\n@fayejf Same for ASR Classification models\r\n\r\nI've verified that ASR CTC/RNNT work 1:1 as before."
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} | # Changelog
- Update API for webdataset calls
- Add lower bound for webdataset requirements (may want to pin it for release, @okuchaiev) | {
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"This is a great question ! Surprisingly, the QuartzNet config does not show two very nice parameters of experiment manager that are used precisely for resuming training over multiple runs - https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/citrinet/citrinet_384.yaml#L381-L382\r\n\r\nYou can add them to th... | 2021-02-16T11:17:56 | 2023-07-05T16:29:06 | 2021-02-18T17:54:37 | NONE | {
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I'm currently working on a transfer learning project for ASR and I followed the related [tutorial](https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/asr/01_ASR_with_NeMo.ipynb#scrollTo=7mP4r1Gx_Ilt). Since I'm not able to perform an entire training in a single sessio... | {
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"This pull request **introduces 6 alerts** when merging ace2826c3c6afa62827f773a1f427141640afdab into 562087498d68754aca6dcde8f4ac8813300e7b24 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-31be61d5dc5e90974461a3ee4fb9ee9ed9f5fd98)\n\n**new alerts:**\n\n* 6 for Unused import",
"This pull requ... | 2021-02-15T23:24:49 | 2021-02-22T06:22:19 | 2021-02-22T06:22:15 | CONTRIBUTOR | {
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} | This PR introduces tarred datasets for monolingual text corpora to allow (back)translating large amounts of text. A tarred dataset can be created as follows:
```
python examples/nlp/machine_translation/create_tarred_monolingual_dataset.py \
--tokenizer_model /path/to/tokenizer.model \
--clean \
--fna... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1757 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1757/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1757/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1757/events | https://github.com/NVIDIA/NeMo/issues/1757 | 808,759,027 | MDU6SXNzdWU4MDg3NTkwMjc= | 1,757 | Why does not augmentation increase the number of training data? | {
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"Perturbation augmentation in NeMo is applied if probability at random sample > prob of augmentation selected. So total num of samples (iterations) remains the same. I suggest you train for a higher number of epochs for effective usage of augmentation. "
] | 2021-02-15T19:02:23 | 2021-02-23T18:35:43 | 2021-02-23T18:35:43 | NONE | {
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"Wich kind of LM? N-gram? If so, read [this](https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Offline_ASR.ipynb)\r\n\r\nIf you are talking about transformer based LM, I am struggling the same. I opened a discussion about this [here](https://github.com/NVIDIA/NeMo/discussions/1736)",
"Any other reference to ... | 2021-02-15T06:33:55 | 2021-06-19T04:40:56 | 2021-06-19T04:39:20 | NONE | {
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I have been using my own data (an under-resourced language) for the notebook, and I wish to improve its WER by integrating my own Lang... | {
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"Could you share your training config file for QuartzNet ? The defaults for the pytorch lightning training logs at every step, which is excessive, and can be a cause for such a significant drop in training speed. ",
"I am also wondering about `num_workers` parameter for data layers",
"[quartznet.yaml.txt](https... | 2021-02-12T15:02:36 | 2021-05-28T08:41:17 | 2021-05-28T08:41:17 | NONE | {
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} | null | null | null | Hi,
first of all, thanks for the great library!
I've been using this library for more than a year. I train mostly QuartzNet models for English and Czech.
Since the new version (>1.0.*) I experience ~3x slowdown compared to older versions (<v0.11.0) on my older GPUs (GTX 1080Ti).
I train on eight to ten GPUs... | {
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"No, you should be able to get much higher accuracies for 'megatron-bert-345m-uncased' on Squadv2 dataset.\r\nThis what I got after 2 epochs of training em=81.35%, f1=84.75%.\r\nI used batch size=12, precision=16, amp_level=01",
"Actually, I think I know the reason for the low numbers. We had a recent bug in QA m... | 2021-02-12T08:41:43 | 2021-04-26T17:08:08 | 2021-04-26T17:08:07 | NONE | {
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On training QAModel with squadv2 dataset keeping pretrained_model_name=megatron-bert-345m-uncased and version_2_with_negative=True does not seem to train properly (val_em=50.07, val_f1=50.07). But this is not the case when I keep pretrained_model_name=bert-base-uncased or albert-xlarge-v2, in both of which I ge... | {
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} | …ePiece needs to be the first thing done after coming out of the BPE decoder, before Moses. It also fixes a bug introduced when Chinese was added. The code had removed Moses Detokenization for Japanese during inference all together
Signed-off-by: rprenger <rprenger@nvidia.com> | {
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} | …uirement unless newer version is specified. This forces it to be the newer version we need
Signed-off-by: rprenger <rprenger@nvidia.com> | {
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"\"Method 1. \"\r\n```\r\nprint(first_asr_model.transcribe(paths2audio_files=['pass path to .wav file']))\r\n```\r\n\"Method 2.\"\r\n```\r\n# Bigger batch-size = bigger throughput\r\nparams['model']['validation_ds... | 2021-02-10T21:37:59 | 2021-06-19T05:00:48 | 2021-06-19T05:00:48 | NONE | {
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1. model.transcribe()
2. [Pure PyTorch inference loop](https://colab.research.google.com/github/NVIDIA/NeMo/blob/r... | {
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} | # Changelog
- Add proper depth analysis for nested type definition
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https://api.github.com/repos/NVIDIA/NeMo/issues/1740 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1740/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1740/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1740/events | https://github.com/NVIDIA/NeMo/pull/1740 | 804,987,406 | MDExOlB1bGxSZXF1ZXN0NTcwNjY3NDk1 | 1,740 | WIP: Restoring Megatron unit test; Fixing Megatron initialization; unused … | {
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"This pull request **introduces 4 alerts** and **fixes 8** when merging dca86d9367a59e969c14dd3bac2321db6e9a7b16 into 25abffdd37efb3a9f5a6e236d910f045271ae08f - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-ec901cb9fdf53607236db93f64f526687b49cea5)\n\n**new alerts:**\n\n* 2 for Unused local vari... | 2021-02-09T22:43:03 | 2021-02-22T21:25:59 | 2021-02-22T21:25:59 | COLLABORATOR | {
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} | …exports/functions cleanup
Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1739 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1739/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1739/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1739/events | https://github.com/NVIDIA/NeMo/pull/1739 | 804,966,381 | MDExOlB1bGxSZXF1ZXN0NTcwNjQ5NjA2 | 1,739 | NLP, Megatron and Tools docs | {
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"@ekmb is this only docs? Should it go to r1.0.0rc1 then?"
] | 2021-02-09T22:04:56 | 2021-03-15T21:54:58 | 2021-03-15T21:54:54 | COLLABORATOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1738 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1738/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1738/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1738/events | https://github.com/NVIDIA/NeMo/pull/1738 | 804,947,386 | MDExOlB1bGxSZXF1ZXN0NTcwNjMyOTAy | 1,738 | NMT automatically preprocess data in example script | {
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"This pull request **introduces 7 alerts** and **fixes 1** when merging 39305db0bbb9b46913d7af27263078f7a3e0d051 into 3c288d8a7caf667c95444c39434e3ebc5f53d911 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-9d19b73f6a2e17f867cc19d0bc33bfa1fed8951a)\n\n**new alerts:**\n\n* 4 for Unused import\n* ... | 2021-02-09T21:41:03 | 2021-02-11T23:52:49 | 2021-02-11T23:52:44 | COLLABORATOR | {
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} | This PR will add the ability to automatically train tokenizers and preprocess data from the NeMo config for NMT. For very large datasets it can be prohibitive to train them without first creating a tarred dataset. If the user wants to change tokenizer, vocab size, or batch size, for example, they must reprocess the dat... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1737 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1737/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1737/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1737/events | https://github.com/NVIDIA/NeMo/pull/1737 | 804,912,471 | MDExOlB1bGxSZXF1ZXN0NTcwNjAzMTk3 | 1,737 | jieba detokenizer for chinese | {
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"This pull request **introduces 4 alerts** when merging f5a2dbfb6f1f1bd595fd00682be5e54e902ef96a into 25abffdd37efb3a9f5a6e236d910f045271ae08f - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-c72ad221ab5286086e5b409c23e1e96df83bfe0c)\n\n**new alerts:**\n\n* 3 for Unused import\n* 1 for Module is ... | 2021-02-09T20:47:50 | 2021-02-11T00:04:34 | 2021-02-11T00:04:34 | CONTRIBUTOR | {
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} | adding pangu as jieba detokenizer | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1735 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1735/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1735/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1735/events | https://github.com/NVIDIA/NeMo/pull/1735 | 804,710,277 | MDExOlB1bGxSZXF1ZXN0NTcwNDMyMzM2 | 1,735 | Fix Subword Tokenization notebook to run locally. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1734 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1734/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1734/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1734/events | https://github.com/NVIDIA/NeMo/issues/1734 | 804,587,566 | MDU6SXNzdWU4MDQ1ODc1NjY= | 1,734 | [Question] Updating PyPI with latest NeMo release(s) | {
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"You should use:\r\n```\r\npip install nemo-toolkit[all]==1.0.0b3\r\n```\r\nOr in your requirements.txt file\r\n```\r\nnemo-toolkit[all]==1.0.0b3\r\n```",
"Thanks a lot for the quick reply @okuchaiev . I have seen that nemo 1.0.0b4 was recently released and I am looking forward to incorporating the latest change... | 2021-02-09T14:11:48 | 2021-02-17T14:39:10 | 2021-02-09T20:24:59 | NONE | {
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} | null | null | null | **Describe your question**
I am trying to add the latest `v1.0` release of NeMo as a pip dependency on my project. However, this version has not been uploaded to PyPI yet. (https://pypi.org/project/nemo-toolkit/). Do you have any plans or timeline for the update? This would help me greatly in making my requirements fi... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1733 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1733/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1733/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1733/events | https://github.com/NVIDIA/NeMo/issues/1733 | 804,540,700 | MDU6SXNzdWU4MDQ1NDA3MDA= | 1,733 | [Question] Is it possible to implement BERT in ASR? | {
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"Doing this for every single step in beam search process would be too computationally expensive.\r\nInstead you can re-score candidate beams from beam search like we did with transformer XL in this paper:\r\nhttps://arxiv.org/pdf/1904.03288.pdf "
] | 2021-02-09T13:14:53 | 2021-02-09T20:24:13 | 2021-02-09T20:24:11 | NONE | {
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} | null | null | null | Hi all,
i am workin on a quartznet model with 5-gram beam search LM for decode the CTC matrix.
I was wondering if it could be possible to implement a BERT-based LM on top of my asr model.
If i simply mask the uncorrect transcripted word and then run BERT, of course the word would be replaced with a new one, but no... | {
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"We should close this PR - its sole purpose was to enable ONNX export for Megatron (in Nemo b3 environment) - which we have found is broken anyway in b4 (due to Pytorch version).\r\nSo it does not solve the issue for our standard containers and introduces risks.",
"please note I still need EFF."
] | 2021-02-08T22:20:25 | 2021-03-04T17:08:16 | 2021-02-16T05:21:08 | CONTRIBUTOR | {
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} | - [x] Bumping version of EFF to 0.2.6 (changes required by Yang's PR to TLT)
- [x] Added 'nvidia-pyindex' to setup_requires | {
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} | CI Test to make sure we can run inference for NMT. | {
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"This pull request **introduces 5 alerts** when merging 661c91f16cd7c94e0d9c6e358c457530c80338d0 into 0e6159141b45336607dc137389bc0d6839a6606c - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-a1cbb8519895cc2212edbefc60557dccc5da00ee)\n\n**new alerts:**\n\n* 5 for Unused import",
"This pull requ... | 2021-02-08T20:34:45 | 2021-08-06T08:01:46 | 2021-02-09T01:23:28 | COLLABORATOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1729 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1729/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1729/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1729/events | https://github.com/NVIDIA/NeMo/pull/1729 | 803,884,951 | MDExOlB1bGxSZXF1ZXN0NTY5NzM5MjY2 | 1,729 | Use None as source and target lang if not in config for backward comp… | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1728 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1728/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1728/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1728/events | https://github.com/NVIDIA/NeMo/pull/1728 | 803,833,777 | MDExOlB1bGxSZXF1ZXN0NTY5Njk1NzUz | 1,728 | Refactor RNNT to support tokenization properly + change decoding strategy | {
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- Patch support for correct decoding of character based RNNT models
- Add support for changing decoding strategy
- Tests for changing decoding strategy | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1727 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1727/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1727/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1727/events | https://github.com/NVIDIA/NeMo/pull/1727 | 803,779,116 | MDExOlB1bGxSZXF1ZXN0NTY5NjUwNTc4 | 1,727 | Adding working Japanese option to SacreBleu | {
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} | Needed to uninstall the version of `sacrebleu` that was in the existing container and then install `sacrebleu[ja]`. Also changed the validation scoring to use the Japanese `ja-mecab` tokenizer with sacrebleu instead of `13a`. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1726 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1726/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1726/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1726/events | https://github.com/NVIDIA/NeMo/issues/1726 | 803,768,049 | MDU6SXNzdWU4MDM3NjgwNDk= | 1,726 | Loading LM Checkpoint from huggingface | {
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"Hey @avikpal00, thanks for reaching out!\r\nYes, we indeed support this model! \r\nSimilar to the link you posted, you would initialize the backbone BERT encoder with albert-xlarge-v2 and train on SQuADv2.0 with the hyperparameters they used, so your cmd line would look something like this:\r\n\r\npython question_... | 2021-02-08T17:22:36 | 2021-05-28T08:34:24 | 2021-05-28T08:34:24 | NONE | {
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} | null | null | null | Hello,
I am trying to load a language model checkpoint from huggingface models, specifically [albert-xlarge-v2-squad-v2](https://huggingface.co/ktrapeznikov/albert-xlarge-v2-squad-v2), for QAModel. I am not sure if it's already a feature implemented, if it is, how do I go about doing this? | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1725 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1725/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1725/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1725/events | https://github.com/NVIDIA/NeMo/pull/1725 | 803,381,137 | MDExOlB1bGxSZXF1ZXN0NTY5MzIwMjE3 | 1,725 | Rename and update marblenet (VAD) config | {
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} | Cleanup and for paper reproducibility.
Signed-off-by: fayejf <fayejf07@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1724 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1724/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1724/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1724/events | https://github.com/NVIDIA/NeMo/pull/1724 | 802,465,260 | MDExOlB1bGxSZXF1ZXN0NTY4NjAzODUw | 1,724 | Add test stage to setup to finish megatron init | {
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} | If only trainer.test was being called then megatron was not finishing it's init.
This should fix this issue: https://github.com/NVIDIA/NeMo/issues/1700
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https://api.github.com/repos/NVIDIA/NeMo/issues/1723 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1723/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1723/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1723/events | https://github.com/NVIDIA/NeMo/pull/1723 | 802,379,426 | MDExOlB1bGxSZXF1ZXN0NTY4NTMyNTkw | 1,723 | Fix qa config | {
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"> Approving, but is this change related to TLT at all?\r\n> \r\n> Seems you are just polishing a bit functionality of a QA training NeMo script...\r\n\r\nShould not affect tlt"
] | 2021-02-05T18:23:40 | 2021-03-04T17:09:03 | 2021-02-05T21:30:31 | CONTRIBUTOR | {
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} | this is rebased on https://github.com/NVIDIA/NeMo/pull/1721
please merge after that | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1720 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1720/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1720/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1720/events | https://github.com/NVIDIA/NeMo/pull/1720 | 801,917,057 | MDExOlB1bGxSZXF1ZXN0NTY4MTUwMTkx | 1,720 | fix AudioSegment for stereo audio | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1719 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1719/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1719/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1719/events | https://github.com/NVIDIA/NeMo/pull/1719 | 801,770,643 | MDExOlB1bGxSZXF1ZXN0NTY4MDI4MjY4 | 1,719 | fix squad eval | {
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"@yzhang123 it's this needed for tlt? if so, it should go to b4 ",
"> @yzhang123 it's this needed for tlt? if so, it should go to b4\r\n\r\nI'm not sure about that status. @vladgets could you take comment?"
] | 2021-02-05T01:45:28 | 2021-03-04T17:09:12 | 2021-02-05T04:15:23 | CONTRIBUTOR | {
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} | Fix error from Dec 17, 2020 https://github.com/NVIDIA/NeMo/pull/1569/files
Signed-off-by: Yang Zhang <yangzhang@nvidia.com> | {
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"> @yzhang123 after trying out TLT, I found it's cleaner to have ... | 2021-02-05T00:03:14 | 2021-02-06T00:01:15 | 2021-02-06T00:01:10 | COLLABORATOR | {
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} | - [X] updated config for new pre-trained checkpoints, included test_ds by default
- [X] split the token_classification script into 2: train and eval+infer
- [X] added more comments on how to use NER scripts
- [X] updated Jenkins tests for NER scripts with new .nemo
- [x] added more comments on how to use Punct scri... | {
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} | # Changelog
- Adds tests for restore_from, overriden config restore_from, support for OmegaConf object instead of filepath for overrides and support for returning models internal config instead of instantiation of model
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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- Adds tests for restore_from, overriden config restore_from, support for OmegaConf object instead of filepath for overrides and support for returning models internal config instead of instantiation of model
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* Cleaned up unused code in speech_to_text_sclite.py | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1712 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1712/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1712/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1712/events | https://github.com/NVIDIA/NeMo/pull/1712 | 801,516,960 | MDExOlB1bGxSZXF1ZXN0NTY3ODE4NTA5 | 1,712 | added deps on new versions of packages | {
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"actually closing this one since b4 already seems to have newer versions"
] | 2021-02-04T18:04:45 | 2022-08-16T16:15:39 | 2021-07-19T23:00:43 | CONTRIBUTOR | {
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} | Dependencies on new NVDIA PyPI packages.
Note: This will work "outside" once the new wheels will be distributed. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1711 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1711/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1711/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1711/events | https://github.com/NVIDIA/NeMo/pull/1711 | 801,506,354 | MDExOlB1bGxSZXF1ZXN0NTY3ODA5NzE5 | 1,711 | WIP: Adding source and target language as a model parameter and removing i… | {
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"This pull request **introduces 1 alert** when merging a21f32c2a521c11affc98bbf8982ed309fd296d0 into f4fbe89e39047c49643a681452a08e2c15dfca15 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-01167a88d9bb6ba6805a96ed527a102181478853)\n\n**new alerts:**\n\n* 1 for Syntax error",
"This pull reques... | 2021-02-04T17:49:38 | 2021-02-05T22:49:31 | 2021-02-05T22:49:31 | CONTRIBUTOR | {
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} | …t as an option during inference. Also adding a different Detokenizer for Japanese based on this option
Signed-off-by: rprenger <rprenger@nvidia.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1710 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1710/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1710/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1710/events | https://github.com/NVIDIA/NeMo/issues/1710 | 801,084,145 | MDU6SXNzdWU4MDEwODQxNDU= | 1,710 | Speaker recognition embeddings | {
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"Same question.",
"There are mainly 3 speaker-related tasks:\r\n\r\n- speaker recognition\r\n- speaker verification and\r\n- speaker diarization\r\n\r\n\r\n### Speaker Recognition:\r\nSpeaker Recognition is a task when you train a speaker recognition network with known speaker labels and test on the same known sp... | 2021-02-04T09:12:30 | 2021-02-26T20:48:37 | 2021-02-26T20:39:49 | NONE | {
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} | null | null | null | I have been using https://github.com/NVIDIA/NeMo/tree/main/tutorials/speaker_recognition.
There is a way we can get embeddings for speaker recognition. (https://github.com/NVIDIA/NeMo/blob/main/examples/speaker_recognition/spkr_get_emb.py)
But didn't find any information, how to use those embeddings for the speak... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1708 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1708/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1708/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1708/events | https://github.com/NVIDIA/NeMo/pull/1708 | 800,832,371 | MDExOlB1bGxSZXF1ZXN0NTY3MjU1MDU5 | 1,708 | export() cleanup | {
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"This pull re... | 2021-02-04T00:59:12 | 2021-02-04T23:51:28 | 2021-02-04T23:51:28 | COLLABORATOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1707 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1707/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1707/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1707/events | https://github.com/NVIDIA/NeMo/pull/1707 | 800,768,084 | MDExOlB1bGxSZXF1ZXN0NTY3MjAwNDMx | 1,707 | Speech Regression Support | {
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"Hi @titu1994. Well, this was the hard way I guess, but I think that the result is what I wanted. Please let me know how it's coming out",
"And error case is caught in the EncDecRegressionModel - \r\n```\r\n=================================== FAILURES ===================================\r\n_________________ TestE... | 2021-02-03T22:58:26 | 2021-02-19T21:07:41 | 2021-02-19T01:39:39 | CONTRIBUTOR | {
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} | Support for Encoder-Decoder models that learn to predict numeric values in a regression model. An example application is non-intrusive speech-quality assessment as presented here:
https://www.microsoft.com/en-us/research/uploads/prod/2019/04/preprint_ICASSP2019_MOS_estimation.pdf | {
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"This pull request **introduces 2 alerts** when merging 666b2f0424ed018b360d614556d69303eace460c into 4c1d7b586fe764894f3468a11369aebc4962fa9f - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-45a9c8c1c8841634c3bfb490060da2fd2d84f798)\n\n**new alerts:**\n\n* 2 for Unused import",
"please check D... | 2021-02-03T22:26:12 | 2021-02-16T21:56:30 | 2021-02-16T21:56:30 | CONTRIBUTOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1705 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1705/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1705/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1705/events | https://github.com/NVIDIA/NeMo/pull/1705 | 800,738,999 | MDExOlB1bGxSZXF1ZXN0NTY3MTc2MjQ3 | 1,705 | Update Citrinet configs | {
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} | # Changelog
- Add Citrinet 512 config
- Update Citrinet 384 config | {
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"> LGTM\r\n> \r\n> Will there be a separate tutorial for exporting TTS to Jarvis?\r\n\r\nNo I think that will just be a page inside the Jarvis docs"
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"@ekmb @ericharper this is independent from QAModel, since it works for BERT backbone with QAModel. Could you take a look when restoring .nemo model trained with Megatron? I checked it happens both with Megatron and BioMegatron",
"This should be fixed now, see #1724. Please let us know if you any more issues.",
... | 2021-02-03T17:32:00 | 2021-02-10T23:26:04 | 2021-02-10T23:26:04 | NONE | {
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Getting _Exception: cuda rng state model-parallel-rng is not added_ error when trying to evaluate/inference a pretrained QAModel with biomegatron lm after restoring the model from a .nemo file. However I am able to run the evaluate/inference right after training (i.e. trainer.fit).
Code :
`trai... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1699 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1699/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1699/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1699/events | https://github.com/NVIDIA/NeMo/pull/1699 | 800,290,717 | MDExOlB1bGxSZXF1ZXN0NTY2Nzk5OTA1 | 1,699 | Changes on Speech regression after pull request #1617 | {
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"Subword automatically will not guarantee you better WER, but it does have a few advantages that help make it possible for models to perform better.\r\n\r\nTheres a new tutorial for ASR with subword encoding here \r\nwhich you could look into for some info on how subword helps CTC based model training - https://col... | 2021-02-03T12:06:21 | 2021-02-03T19:08:57 | 2021-02-03T19:08:56 | NONE | {
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} | null | null | null | I have been using ASR and there are two variant one is normal and the other is the BPE variant config file
Char: https://github.com/NVIDIA/NeMo/blob/main/examples/asr/experimental/conformer/conformer_char.yaml
BPE: https://github.com/NVIDIA/NeMo/blob/main/examples/asr/experimental/conformer/conformer_bpe.yaml
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+ Added mask_value to the specaug
+ Refactored positional embedding classes | {
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"This pull request **introduces 1 alert** when merging b6411e54d856fbe4193e259784afa2e08af516c5 into 941ef1fd71bd2515a4ba7092d65146edfddc1229 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-9e7b6190b88049553be6394e4585e7cfbe3807f2)\n\n**new alerts:**\n\n* 1 for Variable defined multiple times",
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} | This PR enables speaker diarization inference capability in NeMo. It features and supports both oracle and non-oracle VAD diarization with spectral clustering.
Here are some of the new additions made:
- Adds support to diarize wav files given through list or from a file containing paths to audio files (speaker_d... | {
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- Update ASR side documentation (add models, checkpoint to ngc, architecture diagram etc)
- Update doc build script to update mock imports based on requirements | {
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- Minor text preprocessing updates: phrases in quotes will be found before splitting the text by EOS punctuation marks + clean up
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"python 3.6\r\n PyTorch-lightning 1.1.6\r\nUbuntu 18.04.5\r\n",
"Can you please give more details. What language? Exact command/config ran.",
"language= English\r\nnotebook=https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/01_ASR_with_NeMo.ipynb\r\nI simply run the notebook on my GPU\r\n",
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A clear and concise description of what the bug is.
**Steps/Code to reproduce bug**
Please list *minimal* steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-re... | {
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WMT parallel corpus contains many "broken" examples in which source or target are in a wrong language. The fractions of examples in WMT20 for which fasttext [lid.176.bin](https://fasttext.cc/docs/en/language-identification.html) model predicted language which differs f... | {
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- Removed .cfg from model
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Extended export_utils - fixed a few things.
Fixed Docker build. | {
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} | - support for errors' analysis (WER, CER, Word Matching Rate, word accuracy, diff)
- caching of computed metrics, statistics
- UI updates (hideable columns)
Signed-off-by: Vitaly Lavrukhin <vlavrukhin@nvidia.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1685 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1685/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1685/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1685/events | https://github.com/NVIDIA/NeMo/pull/1685 | 797,325,133 | MDExOlB1bGxSZXF1ZXN0NTY0MzUyNDMy | 1,685 | Update ASR RTD Documentation | {
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} | # Changelog
- Update ASR side documentation (add models, checkpoint to ngc, architecture diagram etc)
- Update doc build script to update mock imports based on requirements | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1684 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1684/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1684/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1684/events | https://github.com/NVIDIA/NeMo/pull/1684 | 797,296,081 | MDExOlB1bGxSZXF1ZXN0NTY0MzI5ODQ2 | 1,684 | fix eval_model in IntentSlot tutorial | {
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} | Ensures the reloaded (best) model is used for evaluation as intended. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1683 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1683/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1683/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1683/events | https://github.com/NVIDIA/NeMo/pull/1683 | 797,250,382 | MDExOlB1bGxSZXF1ZXN0NTY0MjkyNTQ4 | 1,683 | Add tarred dataset support for NMT | {
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] | 2021-01-29T22:35:30 | 2021-03-04T17:09:30 | 2021-02-02T05:12:22 | CONTRIBUTOR | {
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} | This PR adds support for Tarred Datasets when training NMT models on very large datasets. It avoids loading the entire dataset into CPU memory for every DDP process. It uses webdataset (https://github.com/tmbdev/webdataset) similar to ASR and language modeling.
To use this functionality
1. Run `python examples/nl... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1679 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1679/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1679/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1679/events | https://github.com/NVIDIA/NeMo/pull/1679 | 796,811,133 | MDExOlB1bGxSZXF1ZXN0NTYzOTI3MTM5 | 1,679 | Waveglow ONNX->TRT conversion, TRT working now | {
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"This pull request **introduces 1 alert** when merging 2b77dfcca2b19881218f87bc99f1f1c85fa98c3a into 8a26496f415386f50adcead21ebd1e4a21a7ff42 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-9556f0d6937d4abed6bef1a6fcdbb5f88bbac784)\n\n**new alerts:**\n\n* 1 for Unreachable code",
"This pull re... | 2021-01-29T11:37:14 | 2021-02-02T09:55:12 | 2021-02-02T09:55:12 | COLLABORATOR | {
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} | I can build TRT from ONNX now after 1D->2D conversion. Please pull from the last branch.
To get the real ONNX built, run test_waveglow.py (without pytest), after uncommenting this line:
model = WaveGlowModel.restore_from(“../WaveGlow-22050Hz-268M.nemo”)
(place .nemo accordingly).
There is also sample TRT buil... | {
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