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"Could you please sign your commits. See https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md for general guidelines.\r\nTo sign already committed commits, checkout DCO's bot output: https://github.com/NVIDIA/NeMo/pull/1678/checks?check_run_id=1789269686",
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"Every NeMo model inherits from ``torch.nn.Module`` at the top of it's inheritance chain. So everything applicable to torch.nn.Module objects, including serving them via Triton Server should apply here as well.\r\n\r\n",
"Great, thanks for the response. "
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"Hi, is there any update on this?\r\n\r\nI would also like to ask if it's possible to add a language model in this notebook :\r\nhttps://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/asr/01_ASR_with_NeMo.ipynb\r\n\r\nI would like to add my language model to train my data in order to achieve bette... | 2021-01-28T11:24:31 | 2021-06-19T04:41:37 | 2021-06-19T04:41:37 | NONE | {
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1) If I want to use a language model instead of greedy decoder, should I restart my training and tra... | {
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"Thanks @yzhang123 !"
] | 2021-01-28T08:09:18 | 2021-01-28T18:25:23 | 2021-01-28T18:24:50 | COLLABORATOR | {
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} | # Changelog
- Add support for external tokenizer files for transformer language models
- Add support for serialization of tokenizer vocab + tokenizer file (if present)
- Add support to disable optimizers by passing file_path = None
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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"This pull request **introduces 4 alerts** when merging 8804196b70e585ebb8bd2847f4a503ba19358ac2 into cd8f1c5a74e0d0f2c5bf5847951e30d1170909c3 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-33c1b211c8938e3824030f9c8b2b1d9708c3bfdb)\n\n**new alerts:**\n\n* 3 for Unused import\n* 1 for Unused loc... | 2021-01-28T03:23:30 | 2022-08-16T16:15:48 | 2021-01-29T22:35:08 | 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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"can you please send a PR?",
"fixed"
] | 2021-01-28T00:17:29 | 2021-02-02T04:53:16 | 2021-02-02T04:53:16 | CONTRIBUTOR | {
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} | null | null | null | In the intent/slot tutorial notebook, I think this line:
https://github.com/NVIDIA/NeMo/blob/ad0edf2e6910b7b6de3ae93fba9b728f6479c50e/tutorials/nlp/Joint_Intent_and_Slot_Classification.ipynb#L508
Should be changed to: `trainer.test(model=eval_model, ckpt_path=None, verbose=False)`
So that the reloaded/best mod... | {
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} | null | null | null | **Describe the bug**
When running in the NeMo Docker container, the Intent/slot model tutorial errors out due to missing ipywidgets package.
**Steps/Code to reproduce bug**
Running [tutorial notebook](https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Joint_Intent_and_Slot_Classification.ipynb) in the nvcr... | {
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"@okuchaiev Could you review the move of citrinet configs from experimental to conf/citrinet/ and update to Jenkinsfile? "
] | 2021-01-27T23:22:19 | 2021-02-01T20:12:22 | 2021-02-01T20:12:15 | COLLABORATOR | {
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} | # Changelog
- Adds ASR with subword tokenization notebook
- Move configs from experimental to conf/citrinet/
- Updates change_vocabulary() in CTCBPE and RNNTBPE so that vocabulary updated is actual tokens instead of token indices.
- Update readme with link to colab
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https://api.github.com/repos/NVIDIA/NeMo/issues/1668 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1668/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1668/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1668/events | https://github.com/NVIDIA/NeMo/issues/1668 | 794,440,370 | MDU6SXNzdWU3OTQ0NDAzNzA= | 1,668 | Wav2letter implementation | {
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"Currently we do not have wav2letter implementation. Checkout Jasper and QuartzNet networks which were inspired by wav2letter",
"Ok, thank you."
] | 2021-01-26T17:56:37 | 2021-01-30T16:21:00 | 2021-01-29T20:16:24 | NONE | {
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} | null | null | null | **Describe your question**: As Nemo is a Pytorch lightening module (as wav2letter) is there an easy to implement Wav2letter with Nemo ?
A clear and concise description of your question.
Describe what you want to achieve. And/or what NeMo APIs are unclear/confusing.
**Environment overview (please complete the f... | {
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I don't manage to find wav2letter in Nemo ASR models wheareas it existed in OpenSeq2Seq.
What's the point ?
**Environment overview (please complete the following information)**
- Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1665 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1665/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1665/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1665/events | https://github.com/NVIDIA/NeMo/pull/1665 | 793,886,740 | MDExOlB1bGxSZXF1ZXN0NTYxNDk1Mjc4 | 1,665 | Add preliminary support for ASR Model dataclasses | {
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} | # Changelog
- Adds nearly concrete implementations of dataclasses for QuartzNet 15x5, Jasper 10x5-DR and MatchboxNet-3x1x64 and VAD modes.
- Adds *ConfigBuilder class supporting the construction of arbitrarily complex interdependencies between sub-configs
- Adds various dataclasses for ASR datasets + ASR Classificat... | {
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I am trying to run the Relation Extraction - BioMegatron notebook where once the model is trained, I am trying to load the best checkpoint.
**Steps/Code to reproduce bug**
- Train the model as usual
`checkpoint_path = trainer.checkpoint_callback.best_model_path`
`eval_model = nemo_nlp.... | {
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"This is not a good approach imo, because it allows the chance that model weights are skipped with a warning only and training progresses as is. When developing on scheduled dispatchers like Slurm, we rarely every take constant look at slurm logs so this can silently introduce bugs.\r\n\r\nThe official way to chang... | 2021-01-25T19:10:51 | 2021-02-24T17:53:03 | 2021-02-24T17:53:03 | CONTRIBUTOR | {
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Loading pretrained weights onto a model with a slightly different architecture results in a shape mismatch error. This makes it unwieldy to use pretrained weights for fine-tuning a model with a different decoder shape (for example, ASR with a different... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1661 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1661/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1661/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1661/events | https://github.com/NVIDIA/NeMo/issues/1661 | 793,515,932 | MDU6SXNzdWU3OTM1MTU5MzI= | 1,661 | Licence of pretrained models | {
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"1. NeMo software is released under [Apache 2.0 license](https://github.com/NVIDIA/NeMo/blob/main/LICENSE)\r\n2. Pre-trained checkpoints which you can find on NVIDIA NGC are under [NGC TERMS OF USE](https://ngc.nvidia.com/legal/terms) unless another License/Terms Of Use/EULA is clearly specified.\r\n\r\nSpecificall... | 2021-01-25T16:12:35 | 2021-01-29T20:15:15 | 2021-01-29T20:15:14 | NONE | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1660 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1660/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1660/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1660/events | https://github.com/NVIDIA/NeMo/issues/1660 | 793,232,789 | MDU6SXNzdWU3OTMyMzI3ODk= | 1,660 | RIR and noise augmentation for ASR Quartznet | {
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"@lodm94 You are right, there seems to be an issue with the default value of noise_tar_paths. Until we push a fix, as a workaround you could change your dict to the following:\r\n\r\naudio_augmentations = dict(\r\n rir_noise_aug = dict(\r\n prob=0.5,\r\n rir_manifest_path = 'rir_manifest.json',... | 2021-01-25T10:02:05 | 2022-11-09T09:16:05 | 2021-10-26T23:43:31 | NONE | {
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I'm still having trouble implementing RIR in my ASR model after i solved [this](https://github.com/NVIDIA/NeMo/issues/1648) problem.
Let's assume i have alredy created manifest file for both noise and rir aug. Let's assume also that i want to implement augmentation with implicit definition, as suggested in [t... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1659 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1659/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1659/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1659/events | https://github.com/NVIDIA/NeMo/pull/1659 | 792,416,134 | MDExOlB1bGxSZXF1ZXN0NTYwMzAzMTMx | 1,659 | Fix configs in ASR tutorials | {
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"Hmm wait, the function exists in main but the error exists in b3? If the error exists only in main, then for now comment out these patches with a note that it needs to be uncommented. Or use a try catch. \r\n\r\nAlso, tests are failing on a notebook only pr?",
"> Hmm wait, the function exists in main but the err... | 2021-01-23T02:40:57 | 2021-01-29T02:18:23 | 2021-01-29T02:18:10 | COLLABORATOR | {
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} | Update and fix the **outside of the model constructor configs** in ASR tutorials. Converting outside Hydra 0.x configs to Hydra 1.x configs.
Tiny bug fix for notebook 03 speech command
Related bug: [1649](https://github.com/NVIDIA/NeMo/issues/1649) | {
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">>\"Can I integrate it with my college website\"\r\n- Yes.\r\n\r\n>> \"could you please guide me?\"\r\n- Have a look at this notebook for example. \r\nhttps://colab.research.google.com/github/NVIDIA/NeMo/blob/r1.0.0b3/tutorials/NeMo_voice_swap_app.ipynb"
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https://api.github.com/repos/NVIDIA/NeMo/issues/1657 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1657/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1657/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1657/events | https://github.com/NVIDIA/NeMo/pull/1657 | 792,226,479 | MDExOlB1bGxSZXF1ZXN0NTYwMTQ1Mjc5 | 1,657 | fix log dir | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1656 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1656/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1656/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1656/events | https://github.com/NVIDIA/NeMo/pull/1656 | 792,136,996 | MDExOlB1bGxSZXF1ZXN0NTYwMDcxNjMw | 1,656 | pre-trained models performance test added and masking fix | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1655 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1655/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1655/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1655/events | https://github.com/NVIDIA/NeMo/pull/1655 | 791,714,307 | MDExOlB1bGxSZXF1ZXN0NTU5NzI1OTE4 | 1,655 | Fix for log_dir access in trainer | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1654 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1654/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1654/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1654/events | https://github.com/NVIDIA/NeMo/issues/1654 | 791,384,594 | MDU6SXNzdWU3OTEzODQ1OTQ= | 1,654 | Caching datasets for ASR training | {
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"currently we don't support such feature. Also, it would put high requirements on available RAM"
] | 2021-01-21T18:13:34 | 2021-05-28T08:35:55 | 2021-05-28T08:35:55 | CONTRIBUTOR | {
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} | null | null | null | **Caching datasets for ASR training**
The current data loaders for ASR seem to load the file from disk for every iteration with AudioSegment. This becomes a bottleneck when the disk is not very fast (i.e. is not a SSD). Is there a way to cache the audio files in RAM memory? Should we add the option to cache the data... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1653 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1653/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1653/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1653/events | https://github.com/NVIDIA/NeMo/issues/1653 | 790,654,513 | MDU6SXNzdWU3OTA2NTQ1MTM= | 1,653 | [Question]Google Colab Error: MisconfigurationException: You requested GPUs: [1] But your machine only has: [0] | {
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"Could you try by replacing gpus=[1] with gpus=1? This seems to be trying to index GPU [1] which would be the second gpu, but colab has just 1 gpu",
"Hi Good Sir,\n\nYes, it seems that this is the case. It runs smoothly now once I have\nchanged to \"gpus=1\".\n\nAlthough would just like to inform you that looks l... | 2021-01-21T03:29:24 | 2021-01-21T16:46:10 | 2021-01-21T16:46:10 | NONE | {
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https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/asr/01_ASR_with_NeMo.ipynb
I was running the codes in your notebook, everything was fine until it reaches the "**Trans... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1652 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1652/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1652/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1652/events | https://github.com/NVIDIA/NeMo/pull/1652 | 790,613,911 | MDExOlB1bGxSZXF1ZXN0NTU4Nzk2NDgx | 1,652 | Fix hydra runner | {
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"This pull request **introduces 2 alerts** when merging 1548c44f5dc90b95d7fc3d8fd1f1e83347753c74 into eb927fe6aa69f8d73705dcb785a2afb95e4c279d - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-2b1f14de5396282d23465f680fcf532753f62246)\n\n**new alerts:**\n\n* 1 for Non\\-callable called\n* 1 for Un... | 2021-01-21T01:59:59 | 2021-01-22T15:26:50 | 2021-01-22T15:26:46 | CONTRIBUTOR | {
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} | This PR fixes hydra runner, enabling to use schemas with manual passing of configs files using command line.
- [x] Modified hydra_runner so it injects schema into the right "place" in ConfigStore.
- [x] Covers runner with integration tests
Usage: please take a look at tests and the used "example" (`tests/hydra/... | {
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} | # Changelog
- Create SPE vocabulary as a key=subword to value=id mapping to be consistent with WPE
- Use keys() as the actual vocabulary to inject into the decoder
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1650 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1650/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1650/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1650/events | https://github.com/NVIDIA/NeMo/pull/1650 | 789,413,763 | MDExOlB1bGxSZXF1ZXN0NTU3NzYwNzY1 | 1,650 | Clarify comments and neural types in Model Primer Notebook | {
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} | # Changelog
- Address Neural Type comments from https://github.com/NVIDIA/NeMo/issues/1634 regarding LSTM
- Address clarification of "GPT Encoder neural module" vs "Transformer Decoder network" issue raised in https://github.com/NVIDIA/NeMo/issues/1638
Closes https://github.com/NVIDIA/NeMo/issues/1634 and https://... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1649 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1649/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1649/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1649/events | https://github.com/NVIDIA/NeMo/issues/1649 | 789,243,987 | MDU6SXNzdWU3ODkyNDM5ODc= | 1,649 | Key 'window_stride' is not in struct | {
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"Thanks for reporting this. We will fix it asap and let you know.",
"@shfaizan [Fixed](https://github.com/NVIDIA/NeMo/pull/1659)! Please pull and update. Thanks!"
] | 2021-01-19T18:09:28 | 2021-01-29T02:19:58 | 2021-01-29T02:19:58 | NONE | {
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} | null | null | null | I am trying to run the[ VAD notebook](https://github.com/NVIDIA/NeMo/blob/9aa4ada92b2e6ddd418704dc392e8576d44e5f41/tutorials/asr/07_Online_Offline_Microphone_VAD_Demo.ipynb).
I followed every step but got this error:
![image](https://user-images.githubusercontent.com/39994105/105074869-f4a20400-5aae-11eb-85f0-6512... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1648 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1648/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1648/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1648/events | https://github.com/NVIDIA/NeMo/issues/1648 | 788,946,092 | MDU6SXNzdWU3ODg5NDYwOTI= | 1,648 | Quartznet RIR augmentation - tutorial 05 | {
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"@lodm94 The issue here is that the script get_openslr_rir.py only works with absolute paths. \r\nPlease change the first line in the cell to:\r\n`rir_data_path = os.getcwd()`\r\nI will fix this in the main branch too. Thanks for letting us know of this issue.",
"Holy moly it finally works! Cheers man! Thank you\... | 2021-01-19T11:32:42 | 2021-01-20T09:39:20 | 2021-01-20T09:39:20 | NONE | {
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} | null | null | null | Hello,
im tryin to implement RIR aug, just like suggested in the [tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/05_Online_Noise_Augmentation.ipynb
)
But when i run the cell:
```
rir_data_path = '.'
!python ../../scripts/get_openslr_rir.py --data_root {rir_data_path}
rir_manifest_path = os.path... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1645 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1645/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1645/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1645/events | https://github.com/NVIDIA/NeMo/issues/1645 | 788,436,146 | MDU6SXNzdWU3ODg0MzYxNDY= | 1,645 | How to view raw and augmented spectrograms?[Question] | {
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"The type error mentions that \"input_signal_length\" has no corresponding input types - and the two valid input names are input_signal and length. \r\n\r\nSo if you replace the call function argument of empty_model.preprocessor() from input_signal_length to just length, it should work ",
"Thank you, I was able t... | 2021-01-18T17:21:26 | 2021-01-29T20:17:15 | 2021-01-29T20:17:15 | CONTRIBUTOR | {
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} | null | null | null | **Describe your question**
I would like to be able to display the spectrograms that are being generated by Quartznet and SpecAugment but I'm having trouble being able to do so.
Things I tried:
- If I apply the preprocessor directly to a tensor (loaded with torchaudio) I get a TypeError because the input type do... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1644 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1644/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1644/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1644/events | https://github.com/NVIDIA/NeMo/pull/1644 | 788,178,519 | MDExOlB1bGxSZXF1ZXN0NTU2NzMzMTIx | 1,644 | Asr pipe read | {
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"Hi! Thanks for the PR. Could you sign your commit using the instructions here - https://github.com/NVIDIA/NeMo/pull/1644/checks?check_run_id=1721045606",
"@titu1994 I cannot read the details of check, please check it. Thanks"
] | 2021-01-18T11:15:36 | 2021-02-04T01:21:50 | 2021-02-03T21:25:51 | CONTRIBUTOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1643 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1643/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1643/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1643/events | https://github.com/NVIDIA/NeMo/issues/1643 | 788,135,269 | MDU6SXNzdWU3ODgxMzUyNjk= | 1,643 | Key 'params' is not in struct | {
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"You don't need the decoder.params.vocabulary anymore. Directly use decoder.vocabulary",
"Yes this solves the issue thanks"
] | 2021-01-18T10:21:39 | 2021-01-19T17:38:23 | 2021-01-19T17:38:23 | NONE | {
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Without changing anything I run cells and get error while running this line `labels = list(asr_model.cfg.decoder.params.vocabulary) + ['blank']:`
Erro... | {
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"I am also encountering this problem. Tried setting num_workers=0 in _setup_infer_dataloader method of nemo/collections/nlp/models/token_classification/punctuation_capitalization_model.py, but it did not solve problem.",
"We don’t support Windows at this point, please try running in Colab `https://colab.research.... | 2021-01-18T05:42:30 | 2021-03-02T21:34:22 | 2021-02-26T18:38:52 | NONE | {
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} | null | null | null | **Environment overview (please complete the following information)**
Installed Nemo using pip
**Environment details**
- OS version Windows 10
- PyTorch version 1.7.0+cu101
- Python version 3.6
This is the error I am getting while running the voice_swap demo in my machine.
> NotImplementedError ... | {
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"Adding a `me too` comment here. I'm actually interested in loading features archives computed by kaldi (like fbank). This is a feature very useful we find in other toolkits like ESPnet for example. Is there some documentation or some guidelines how one would implement that?",
"@jprobichaud I already fixed her... | 2021-01-18T04:05:49 | 2021-08-17T01:00:51 | 2021-08-17T01:00:51 | CONTRIBUTOR | {
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} | null | null | null | Hi, guys. I am new to NeMo.
And I still reusing the data augment in Kaldi, since there have a lot data prepare script.
is it possible to read pipeline data in NeMo, I already wrote a script generate Manifest .json file from wav.scp and text file in kaldi stype dataset. But it only work for .wav not pipeline data.
An... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1639 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1639/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1639/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1639/events | https://github.com/NVIDIA/NeMo/pull/1639 | 787,667,501 | MDExOlB1bGxSZXF1ZXN0NTU2MzE4NjU0 | 1,639 | Fixing optional onnx-graphsurgeon import | {
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} | Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
Fixing possible incorrect default overrides.
Adding building onnx-surgeon from source to Dockerfile.
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https://api.github.com/repos/NVIDIA/NeMo/issues/1638 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1638/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1638/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1638/events | https://github.com/NVIDIA/NeMo/issues/1638 | 787,314,415 | MDU6SXNzdWU3ODczMTQ0MTU= | 1,638 | Confusing GPT Terminology in NeMo Models tutorial | {
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"While not consistent with the paper, this is a tutorial to explain how to refactor a monolithic concrete model into an abstract NeMo model - comprising of neural modules that represent the abstraction with neural types, and then instantiate them with actual concrete modules (which can be anything that fits the neu... | 2021-01-16T01:21:15 | 2021-01-20T04:28:32 | 2021-01-20T04:28:32 | NONE | {
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} | null | null | null | In the NeMo Models tutorial, in the refactored minGPT we have `GPTEmbedding`, `GPTTransformerEncoder`, `GPTDecoder`. I think `GPTTransformerEncoder` and `GPTDecoder` are confusing names both with respect to the original GPT architecture and the Transformer architecture. In the original Tranformer paper, namely the left... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1637 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1637/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1637/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1637/events | https://github.com/NVIDIA/NeMo/pull/1637 | 787,134,555 | MDExOlB1bGxSZXF1ZXN0NTU1ODk3OTA0 | 1,637 | Simplify checkpoint path setup for checkpoint averaging | {
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} | # Changelog
- Add optional directory path to reduce checkpoint_paths to checkpoint_names
Signed-off-by: smajumdar <titu1994@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1636 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1636/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1636/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1636/events | https://github.com/NVIDIA/NeMo/pull/1636 | 786,570,404 | MDExOlB1bGxSZXF1ZXN0NTU1NDE4Njcw | 1,636 | Make onnx-graphsurgery an optional deferred import | {
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"Hmmm, I think the line that was breaking NeMo installation on my MacBook was in `setup.py`:\r\nhttps://github.com/NVIDIA/NeMo/blob/45f60f03e5d15a4b6e7db145b5d731d73f3a891d/setup.py#L235\r\n\r\n@borisfom ideas?",
"> Hmmm, I think the line that was breaking NeMo installation on my MacBook was in `setup.py`:\r\n> h... | 2021-01-15T05:46:11 | 2021-01-16T03:00:11 | 2021-01-15T22:15:23 | COLLABORATOR | {
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} | # Changelog
- onnx-graphsurgery is not available on all platforms, and breaks pip install (currently tested on darwin and some versions of ubuntu).
- Make it an optional import that performs runtime check instead. | {
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} | # Changelog
- Add support for `trainer.test()` on Transformer based LM | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1634 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1634/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1634/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1634/events | https://github.com/NVIDIA/NeMo/issues/1634 | 786,433,567 | MDU6SXNzdWU3ODY0MzM1Njc= | 1,634 | Incorrect usage of nn.LSTM in NeMo Models Tutorial | {
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"This is a good find, I keep forgetting TF and PT have different semantics for their RNNs. \r\n\r\nNeMo currently ignores nested structures (h, c) (though we plan to add this), so that will be a todo for a subsequent patch. In the diagram above, \"h\" corresponds to \"y_t\" and \"c\" corresponds to both (h_n, c_n),... | 2021-01-15T00:14:16 | 2021-01-20T04:28:32 | 2021-01-20T04:28:32 | NONE | {
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> What exactly is going on here? Well, inside our `LSTMModule` class, we declare the output types to be a singl... | {
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"> After training the Voice Activity Detection model, How to deploy it for inferencing on arm based devices such as Raspberry Pi?\r\n\r\nWe dont have deployment scripts for Raspberry Pi. \r\n\r\n> How much memory is required to inference MatchboxNet\r\n\r\nDepends on deployment framework, but it should be small con... | 2021-01-14T18:58:28 | 2021-01-21T18:27:21 | 2021-01-21T18:27:21 | NONE | {
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@fayejf @titu1994 @borisgin
In the task of Voice Activity Detection, the following questions arise:
- After training the Voice Activity Detection model, How to deploy it for inferencing on arm based devices such as Raspberry Pi?
- How much memory is required to inference MatchboxNet
- How does Matchbox... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1632 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1632/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1632/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1632/events | https://github.com/NVIDIA/NeMo/issues/1632 | 785,503,982 | MDU6SXNzdWU3ODU1MDM5ODI= | 1,632 | [Question] Low accuracy in VAD demo? | {
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"Hi @skubicius Thanks for your question 😃 . This is the expected plot for this demo wav. There are a few reasons for a not ideal plot for the pre-trained models, such as data and sample rate mismatch, diverse recording (microphone) environment, language, etc. And please note that metrics would be different for dif... | 2021-01-13T22:30:10 | 2021-06-15T21:56:07 | 2021-01-14T21:58:00 | NONE | {
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} | null | null | null | I ran the [VAD demo](https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/07_Online_Offline_Microphone_VAD_Demo.ipynb) and noticed that the prediction accuracy on the [example audio](https://dldata-public.s3.us-east-2.amazonaws.com/VAD_demo.wav) seems quite low (see chart below).
Do you see a similar output when you... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1630 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1630/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1630/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1630/events | https://github.com/NVIDIA/NeMo/pull/1630 | 785,257,672 | MDExOlB1bGxSZXF1ZXN0NTU0MzE0MDY5 | 1,630 | only use pydub for unsupported format | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1629 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1629/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1629/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1629/events | https://github.com/NVIDIA/NeMo/pull/1629 | 784,912,146 | MDExOlB1bGxSZXF1ZXN0NTU0MDI0NTM4 | 1,629 | Speech Regression Model | {
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"This pull request **introduces 1 alert** when merging 657e3e50296a8181164b830a812b40858d5917a6 into bc5f03459c7273b71c50af7c2378d5e950b408c4 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-a3b2ef6ca144959b67e47fc21de10d8f7c6251b2)\n\n**new alerts:**\n\n* 1 for 'import \\*' may pollute n... | 2021-01-13T08:51:53 | 2021-02-03T22:50:24 | 2021-02-03T22:50:24 | CONTRIBUTOR | {
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} | Extend the current speech classification models (e.g. Speaker Recognition) to accommodate the prediction of a numeric target (regression).
This can be applied to use cases like [Speech Quality Assessment ](https://arxiv.org/pdf/1903.06908.pdf) | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1628 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1628/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1628/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1628/events | https://github.com/NVIDIA/NeMo/pull/1628 | 784,684,753 | MDExOlB1bGxSZXF1ZXN0NTUzODM3MDc0 | 1,628 | Add more tests for ASR forward pass checks + Fix to Transformer Tarred Dataset | {
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} | # Changelog
- Add some forward pass tests for ASR to check effect of batch size on evaluation mode
# Bugfix
- Add brace expansion for transformer tarred datasets | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1627 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1627/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1627/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1627/events | https://github.com/NVIDIA/NeMo/pull/1627 | 784,611,230 | MDExOlB1bGxSZXF1ZXN0NTUzNzc1NzY0 | 1,627 | Fix import sgdqa | {
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} | fix sgdqa imports with release installation
change nemo_toolkit installation to release from development | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1626 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1626/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1626/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1626/events | https://github.com/NVIDIA/NeMo/pull/1626 | 784,517,720 | MDExOlB1bGxSZXF1ZXN0NTUzNjk3NDY0 | 1,626 | Loss metric | {
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"Overall, the PR looks good to merge. Please fix the tests and final review from @MaximumEntropy please. "
] | 2021-01-12T19:13:48 | 2021-01-22T15:27:46 | 2021-01-20T00:00:45 | CONTRIBUTOR | {
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} | Add a PTL metric for averaging loss across processes in ddp mode.
Motivation.
If ddp is used, the validation loss for only one gpu is logged. This behavior impairs "Reduce on plateau" and "Early stopping" scheduling strategies. If many GPUs are used and the validation dataset is small, logged validation loss can di... | {
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"It is implemented for a WIP project now, It could be done using collate func to slice the batches and combine back them by backtracking the values. \r\n\r\nFor reference see here:\r\nhttps://github.com/NVIDIA/NeMo/blob/df360cd3c856c645d23505305ee8b689636b2dd1/nemo/collections/asr/data/audio_to_label.py#L161\r\n\r\... | 2021-01-12T17:46:49 | 2021-02-10T23:26:24 | 2021-02-10T23:26:24 | NONE | {
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I have audio files which contain speech from two different individuals, I want to use the pre-trained SpeakerNet_verification model to extract speaker embeddings of each audio file in a sliding window fashion (an embedding for every 1 second with 0.1 se... | {
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"@rahul-art should be fixed now"
] | 2021-01-12T07:23:58 | 2021-05-28T08:35:17 | 2021-05-28T08:35:17 | NONE | {
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} | null | null | null | nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /root/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
[nltk_data] Downloading package cmudict to /root/nltk_data...
[nltk_data] Unzipping corpora/cmudict.zip.
[NeMo W 2021-01-12 07:16:18 experimental:28] M... | {
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- Implements checkpoint averaging for all NeMo models
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} | # Bugfix
- PT 1.6 expects explicit bool type for `onesided` (defaults to true)
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https://api.github.com/repos/NVIDIA/NeMo/issues/1617 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1617/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1617/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1617/events | https://github.com/NVIDIA/NeMo/pull/1617 | 783,082,081 | MDExOlB1bGxSZXF1ZXN0NTUyNDk3NzYw | 1,617 | Tarred dataset support for audio classification and label models | {
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"This pull request **introduces 5 alerts** when merging f2b24d2a402f18b2856dc4da6bb769c04ff5ab9d into c6b90b3dd1321b3e95df8f91b89f55326d52a81c - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-b24b016b8363544667997fab2a9e26552d659897)\n\n**new alerts:**\n\n* 5 for Unused import",
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} | Cleanup and continued work on previous PR #1578
- [x] Refactor classification models and label models in audio_to_label
- [x] Add support for tarred dataset for audio_to_label
- [x] Update classification and label models
- [x] Update VAD inference (should belong to Speaker Diarization pipelines PR but need to b... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1616 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1616/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1616/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1616/events | https://github.com/NVIDIA/NeMo/pull/1616 | 782,590,887 | MDExOlB1bGxSZXF1ZXN0NTUyMTE4OTI1 | 1,616 | support other audio format | {
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"This MR, make training so much slower. Pydub takes too much of CPU to convert media files. Need to make sure pydub is only used for unsupported media formats, right now we using FLAC, and it goes through pydub, but libsnd supports flac.\r\n\r\n![image](https://user-images.githubusercontent.com/3962002/104477831-9f... | 2021-01-09T11:44:57 | 2021-01-28T15:56:42 | 2021-01-11T23:12:21 | CONTRIBUTOR | {
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} | Might solve #1549
Currently I let pydub handle file that is not .wav format because there is something I'm not understand with current implementation.
1. "samples.transpose()" before init with cls
2. User also need to install [ffmpeg](https://github.com/jiaaro/pydub#getting-ffmpeg-set-up) to be able to load non w... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1615 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1615/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1615/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1615/events | https://github.com/NVIDIA/NeMo/pull/1615 | 782,512,274 | MDExOlB1bGxSZXF1ZXN0NTUyMDU0NjE5 | 1,615 | timestep fix for greedy search | {
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"Thanks! Could you run the style fix please?",
"Thanks for the PR fixes!"
] | 2021-01-09T04:48:22 | 2021-01-11T18:14:18 | 2021-01-11T18:03:35 | CONTRIBUTOR | {
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} | fix for strategy:
greedy and greedy_batch
beam of beam_size 1 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1614 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1614/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1614/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1614/events | https://github.com/NVIDIA/NeMo/issues/1614 | 782,388,811 | MDU6SXNzdWU3ODIzODg4MTE= | 1,614 | Multiple optimizers drops logs | {
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"I updated pytorch lightning and that seems to have fixed it. Must have been a specific combination of PTL + NeMo that didn't work. Closing,"
] | 2021-01-08T20:51:32 | 2021-01-11T14:48:50 | 2021-01-11T14:48:49 | CONTRIBUTOR | {
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} | null | null | null | **Describe the bug**
With multiple optimizers in the `training_step`, only the final optimizer's logs get printed/logged on the progress bar and in tfevents file. No logged values from the previous optimizers appear on the progress bar or in the tfevents.
**Steps/Code to reproduce bug**
Running examples/tts/me... | {
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"Hi @TobiasPuetzKenbun ,\r\n\r\nDid you check out [this script ](https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_checkpoint_port.py)to convert your 0.11 checkpoints to 1.0? \r\n\r\nAnd to your second question yes we did that on purpose, initially when we started out speaker recognition it was first trained end... | 2021-01-08T15:06:13 | 2021-01-25T07:28:46 | 2021-01-25T07:28:46 | NONE | {
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I am currently porting a 0.11 speaker recognition checkpoint to 1.0.0b, I ran into some difficulties reproducing the outputs of the 0.11 checkpoint in 1.0.0b. In the 0.11 model, the decoder is `JasperDecoderForSpkrClass`, to my understanding, the corresponding class in 1.0.0b is `... | {
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} | This PR create encoder and decoder neural modules for `TransformerEmbedding` and `TransfomerEncoder` / `TransformerDecoder`.
This is making it so that the neural types will be the same across NeMo Transformer, HF BERT, and Megatron BERT encoders.
The idea is to have `EncoderModule` which accepts `input_ids`, ` en... | {
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} | # Bugfix
- Resolution for dataclass somehow interferes with key interpolation
- Patch via check for type explicitly
Resolves https://github.com/NVIDIA/NeMo/issues/1606
@ekmb for review | {
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"can you please switch to the NeMo version 1.0.0b3 or above ?",
"Looks like this is still an issue with 1.0.0b3, but the fix @ https://github.com/NVIDIA/NeMo/issues/1581#issuecomment-748399696\r\nworked for me."
] | 2021-01-07T15:10:43 | 2021-05-28T08:42:03 | 2021-05-28T08:42:03 | NONE | {
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} | null | null | null | **Describe the bug**
Using environment - Docker image nvcr.io/nvidia/nemo:v0.10 with additionally installed CTC DECODERS (https://github.com/NVIDIA/OpenSeq2Seq).
By this tutorial:
https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/v0.10.1/asr/tutorial.html
running jasper_eval.py leads to the error:
... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1608 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1608/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1608/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1608/events | https://github.com/NVIDIA/NeMo/pull/1608 | 780,967,859 | MDExOlB1bGxSZXF1ZXN0NTUwNzcyNjcy | 1,608 | Workaround for TRT lack of support for DOUBLE | {
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"@borisfom please fix formatting for CI to start:\r\n```\r\npython setup.py style --fix\r\n```",
"This pull request **introduces 1 alert** when merging f261f1a3a5ceaa203dfe605be371dcdc20e4d95f into 4f46bd84d162da80a310c69f72980de935c1e99a - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-abaf66c... | 2021-01-07T01:59:35 | 2021-01-15T01:52:23 | 2021-01-15T01:08:06 | COLLABORATOR | {
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"merged_at": "2021-01-15T01:08:06"
} | Background:
https://nvbugswb.nvidia.com/NvBugs5/SWBug.aspx?bugid=3221866&cmtNo=
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https://api.github.com/repos/NVIDIA/NeMo/issues/1607 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1607/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1607/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1607/events | https://github.com/NVIDIA/NeMo/issues/1607 | 780,854,379 | MDU6SXNzdWU3ODA4NTQzNzk= | 1,607 | How to migrate a Quartznet 15x5 model from NeMo 0.10.1 to 1.0.0b3? | {
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"You can try this script https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_checkpoint_port.py ",
"When i run the command:\r\npython ./asr_checkpoint_port.py --config_path='/workspace/nemo/quartznet_ru/quartznet15x5_ru.yaml' --encoder_ckpt='/workspace/nemo/quartznet_ru/JasperEncoder-STEP-520000.pt' --decoder_ck... | 2021-01-06T21:22:43 | 2021-05-28T08:42:16 | 2021-05-28T08:42:16 | NONE | {
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} | null | null | null | Greetings!
I've got 4 files of a Quartznet 15x5 model:
JasperDecoderForCTC-STEP-520000.pt
JasperEncoder-STEP-520000.pt
lm.binary
quartznet15x5_ru.yaml
The model was trained using NeMo 0.10.1.
I want to fine tune this model using NeMo 1.0.0b3.
Is there any script to convert a model from old versions to the new... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1606 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1606/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1606/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1606/events | https://github.com/NVIDIA/NeMo/issues/1606 | 780,469,126 | MDU6SXNzdWU3ODA0NjkxMjY= | 1,606 | ConfigKeyError: str interpolation key 'model.language_model.pretrained_model_name' not found | {
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} | null | null | null | I'm trying to reproduce [Named Entity Recognition - BioMegatron colab](https://colab.research.google.com/github/NVIDIA/NeMo/blob/r1.0.0b3/tutorials/nlp/Token_Classification-BioMegatron.ipynb), everything is fine until the following cell:
`model_ner = nemo_nlp.models.TokenClassificationModel(cfg=config.model, trainer... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1605 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1605/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1605/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1605/events | https://github.com/NVIDIA/NeMo/pull/1605 | 779,874,869 | MDExOlB1bGxSZXF1ZXN0NTQ5ODEwNzI3 | 1,605 | Add timestep and length in Hypothesis | {
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"Thank you for the awesome PR! Some minor fixes required here and there but overall this PR is good to go.\r\n\r\nPlease run the style fix script by using `python setup.py style --scope=nemo/ --fix` at the root of the nemo repository",
"Thanks for the review, I learned a lot\r\nI have made the changes",
"Also, ... | 2021-01-06T02:06:16 | 2021-01-09T04:44:59 | 2021-01-08T19:10:40 | CONTRIBUTOR | {
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} | Add timestep and length for calculating timestamp
Example code for calculating timestamp:
```
@torch.no_grad()
def predict(filename):
if type(filename) != list:
filename = [filename]
res = {}
hypotheses,_ = asr_model.transcribe([str(i) for i in filename],len(filename),return_hypotheses=Tru... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1604 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1604/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1604/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1604/events | https://github.com/NVIDIA/NeMo/issues/1604 | 779,839,034 | MDU6SXNzdWU3Nzk4MzkwMzQ= | 1,604 | For Megatron models, local vocab files are not supported. | {
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"I was able to run \r\n```\r\nvocab = get_megatron_vocab_file('biomegatron-bert-345m-uncased')\r\n```\r\nwithout any issues.\r\n\r\nI was wondering if you could help clarify what you're trying to do.\r\n\r\nAre you looking to use 'biomegatron-bert-345m-uncased', or are you pretraining a megatron language model on y... | 2021-01-06T01:25:45 | 2021-02-25T23:52:59 | 2021-02-25T23:52:21 | NONE | {
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It seems from the above code snippet that for Megatron models, it always tries to download the vocab files from the cloud. However, currently for bio-Megatron models the [l... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1603 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1603/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1603/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1603/events | https://github.com/NVIDIA/NeMo/pull/1603 | 779,822,118 | MDExOlB1bGxSZXF1ZXN0NTQ5NzYxOTcw | 1,603 | 1579 changes plus fix attempt | {
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"DO NOT MERGE.\r\nFor reference only.",
"Should we close this PR?",
"Yes it can be closed now that we are on 21.02"
] | 2021-01-06T01:07:11 | 2021-03-09T19:53:52 | 2021-03-09T19:53:52 | CONTRIBUTOR | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1602 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1602/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1602/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1602/events | https://github.com/NVIDIA/NeMo/issues/1602 | 778,969,375 | MDU6SXNzdWU3Nzg5NjkzNzU= | 1,602 | docker container cannot launch tensorboard | {
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"You managed to solve this?\r\nI'm having the same issue",
"not yet",
"Hi, i think i solved the problem. \r\nAfter you pull the container and run it, send a pip list command and search for something called tensorboard-plugine-dlproof.\r\nUninstall it.\r\nThen:\r\n\r\npip uninstall -y tensorboard\r\npip install ... | 2021-01-05T12:38:00 | 2021-01-18T06:06:19 | 2021-01-18T06:06:19 | NONE | {
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} | null | null | null | Hi all,
I was running the docker container using this command
```shell
docker run --gpus all -it --rm -v /mnt/NeMo:/NeMo --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/nemo:1.0.0b3
```
and the NeMo repository was on branch 1.0.0b3.
... | {
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"This pull request **introduces 2 alerts** when merging 9ccc0dbd61d9c6b0e034e406f90b3a5795fac574 into 8ed6b966a843286c715484b0fadc266253f2f272 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-162bbcfbe9077b4f7d1d3dca2ab7d0f7aec26a49)\n\n**new alerts:**\n\n* 2 for Unused import",
"This pull requ... | 2021-01-05T05:11:22 | 2021-01-06T01:53:54 | 2021-01-06T01:53:54 | CONTRIBUTOR | {
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} | Adding the following:
1. A way to cache the entire translation dataset object rather than just the IDs, to avoid recomputing the bucketing and padding steps.
2. BPE dropout to YTTM.
3. Sacremoses for detokenization. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1600 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1600/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1600/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1600/events | https://github.com/NVIDIA/NeMo/pull/1600 | 778,425,745 | MDExOlB1bGxSZXF1ZXN0NTQ4NTE1NjMw | 1,600 | Adopting PT 1.7.1 changes | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1599 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1599/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1599/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1599/events | https://github.com/NVIDIA/NeMo/pull/1599 | 778,378,929 | MDExOlB1bGxSZXF1ZXN0NTQ4NDc2MjU5 | 1,599 | Patch ASR to support < PT 1.7 | {
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"Can we add the following?\r\n1) A reminder to remove this patch once we require pytorch >= 1.7\r\n2) A unittest that fails or gives a warning if a PR contains \"torch.stft\" while we still allow pytorch < 1.7"
] | 2021-01-04T21:28:00 | 2021-01-05T00:47:58 | 2021-01-05T00:47:55 | COLLABORATOR | {
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} | # Changelog
- Wrap torch.stft to switch signature between PT< 1.7 and >= 1.7 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1598 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1598/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1598/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1598/events | https://github.com/NVIDIA/NeMo/issues/1598 | 778,139,516 | MDU6SXNzdWU3NzgxMzk1MTY= | 1,598 | [Question] NeMo public roadmap | {
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"Hi @adiIspas,\r\n\r\nThis is a good question. First, let me mention that:\r\n* NeMo is being developed in the open. E.g. what you see in the \"main\" branch on GH is what our team members use in their daily work. In this sense, things which are now WIP in the main branch will be appearing as features in our next r... | 2021-01-04T14:37:28 | 2021-01-29T20:19:05 | 2021-01-29T20:19:05 | NONE | {
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First of all, thank you very much for the job that you do with this toolkit.
Secondly, do you have a public roadmap for NeMo toolkit? I think will be useful for everyone that uses NeMo to know when new version/features will come.
In my case, I'm interested to know when will be available ... | {
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```
File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", ... | {
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* added ci test
* added documentation | {
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| {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1594 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1594/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1594/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1594/events | https://github.com/NVIDIA/NeMo/issues/1594 | 775,941,313 | MDU6SXNzdWU3NzU5NDEzMTM= | 1,594 | EncDecCTCModel can't be pickled due to training_step wrapped with wrapt | {
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"Currently, quite a few classes in ASR collection cannot be pickled easily. DDP is suggested for any distributed training. "
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} | null | null | null | **Describe the bug**
EncDecCTCModel can't be pickled due to `training_step` wrappted with [wrapt](https://github.com/GrahamDumpleton/wrapt)
**Steps/Code to reproduce bug**
```
model_names = ["Jasper10x5Dr-En", "QuartzNet15x5NR-En"]
models = [EncDecCTCModel.from_pretrained(model_name=model_name) for model_nam... | {
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We were able to add this feature with minimal changes to exp_mana... | {
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"This pull request **introduces 3 alerts** when merging 9cc1d68444b748be950f0ae0b4e4c7701320bb71 into 297a8bdbb0370a51cb74a41288025befd9cd2392 - [view on LGTM.com](https://lgtm.com/projects/g/NVIDIA/NeMo/rev/pr-8b83c948558d1688357dbe7f12b05949d53d236d)\n\n**new alerts:**\n\n* 2 for Unused import\n* 1 for Except blo... | 2020-12-28T18:48:43 | 2021-01-12T23:53:22 | 2021-01-12T23:53:15 | COLLABORATOR | {
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"Good catch. I was trying our a few things with decoupled lstms and forgot to update signature. "
] | 2020-12-26T20:58:52 | 2021-05-28T08:35:30 | 2021-05-28T08:35:30 | CONTRIBUTOR | {
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@titu1994, why does `h` have this type? I suppose it should be `Optional[[Tuple[torch.Tensor, torch.Tensor]]`, just like returnable `h` | {
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"https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/asr/parts/features.py#L269",
"if you change to torch>=1.7.0 this should no longer be an issue",
"yes",
"I had the issue when using Anaconda Python, but error after switching over to Linux installed python."
] | 2020-12-25T05:31:12 | 2024-08-28T12:24:19 | 2021-01-11T19:01:13 | NONE | {
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**Steps/Code to reproduce bug**
start the basic ASR training
- Environment location: DGX-1
- Method of NeMo install: pip install -e
Ubuntu
Torch '1.6.0'
Python 3.76
Ubuntu... | {
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"This is discussed in #1486, there is no built in way to do it but instead you need to write your own code to convert the mic input into a tensor that you pass directly to the model (numpy.frombuffer might be helpful). You then need to pass that tensor as input to your saved nemo model (you wont be able to use the ... | 2020-12-24T11:05:07 | 2022-11-13T20:25:37 | 2021-01-04T09:42:13 | NONE | {
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I want to transcribe audio input from a microphone without saving it as an audio file
**Environment overview (please complete the following information)**
- Environment location: Local
- Method of NeMo install: pip install nemo_toolkit[all]==1.0.0b2
**Environment details**
... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1588 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1588/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1588/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1588/events | https://github.com/NVIDIA/NeMo/issues/1588 | 774,326,823 | MDU6SXNzdWU3NzQzMjY4MjM= | 1,588 | [Question] Question about STFT parameter | {
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"It's somewhat misleadingly named.\r\n```\r\nstft_conv (bool): If True, uses pytorch_stft and convolutions. If False, uses torch.stft. Defaults to False.\r\n```"
] | 2020-12-24T10:48:19 | 2021-01-04T19:50:59 | 2021-01-04T19:50:59 | NONE | {
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} | null | null | null | Hello,
I have a question about one parameter used in the config file of quartznet model. Can someone tell me what is the purpose of stft_conv parameter? in the config file it's set to False.
With kind reg... | {
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} | readme has wrong container, there is no leading v on the version for the container on NGC. | {
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"what is the manifest file you instantiated with? "
] | 2020-12-23T19:04:35 | 2021-08-17T01:00:39 | 2021-08-17T01:00:39 | NONE | {
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} | null | null | null | Hi all,
I wish to instantiate a brand new ASR Quartznet 15x5 from a .yaml file and train it from scratch.
Actually, what i'm tryin to do is what is shown in 01_ASR_with_Nemo tutorial:
`first_asr_model = nemo_asr.models.EncDecCTCModel(cfg=DictConfig(params['model']), trainer=trainer)`
Even just running the tutor... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1585 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1585/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1585/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1585/events | https://github.com/NVIDIA/NeMo/issues/1585 | 772,766,286 | MDU6SXNzdWU3NzI3NjYyODY= | 1,585 | [Question] Best WAV length for fine-tuning | {
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"A maximum of 16-20 seconds is recommended for ASR training. Anything more than that will reduce batch size and reduce training efficiency too much"
] | 2020-12-22T08:51:28 | 2021-06-19T04:42:31 | 2021-06-19T04:42:31 | NONE | {
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} | null | null | null | I'm working on finetuning the ASR to adapt to a specific domain. I am using the CTC segmentation tool ([here](https://github.com/NVIDIA/NeMo/tree/main/tools/ctc_segmentation)) to produce the training data. The wave lengths vary between 2 minutes to 2 seconds. I'm wondering what is the best wave length to use (or range ... | {
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"Closing. re-open if issue is still relevant."
] | 2020-12-21T21:53:55 | 2022-04-05T23:34:05 | 2022-04-05T23:34:05 | NONE | {
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} | null | null | null | **Describe your question**
When running inference on a batch with a Tacotron2 model, the decoder correctly ends sequences when none of the sequences in the batch have too many tokens with the ```pad``` (which is ```0``` here) value at the end - so inferencing is fine when the batch size is 1 as shown in the examples... | {
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"I am also getting the same issue.\r\nhttps://github.com/NVIDIA/NeMo/issues/1502 this might help.",
"please use `ddp` instead of `dp` as accelerator. Feel free to open the issue again incase you encounter it again. "
] | 2020-12-21T18:07:49 | 2021-01-05T05:36:03 | 2021-01-05T05:35:16 | NONE | {
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} | null | null | null | **Describe the bug**
When running a speaker recognition notebook on multi GPUs machine I get the following error:
RuntimeError: arguments are located on different GPUs at /tmp/pip-req-build-xlj_h8ax/aten/src/THC/generic/THCTensorMathBlas.cu:25
**Steps/Code to reproduce bug**
1) 8-V100 GPUs machine
2) using t... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1582 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1582/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1582/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1582/events | https://github.com/NVIDIA/NeMo/issues/1582 | 771,816,689 | MDU6SXNzdWU3NzE4MTY2ODk= | 1,582 | Missing vocab files at url in Biomegatron tutorial notebooks | {
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"I am also running into the same issue while running the tutorial notebooks.\r\n\r\n<img width=\"1075\" alt=\"Screen Shot 2021-01-02 at 1 05 30 PM\" src=\"https://user-images.githubusercontent.com/7240751/103463568-5b779d00-4cfb-11eb-8626-bb36d32e1373.png\">\r\n",
"I was able to get this working by adding these t... | 2020-12-21T04:01:54 | 2021-02-25T23:53:51 | 2021-02-25T23:53:51 | NONE | {
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} | null | null | null | **Describe the bug**
Following the biomegatron fix in [#1558](https://github.com/NVIDIA/NeMo/pull/1558).
Getting the following new error while running the Biomegatron tutorial notebooks.
Error line : model_ner = nemo_nlp.models.TokenClassificationModel(cfg=config.model, trainer=trainer)
Output Error:
[NeMo I 202... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1581 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1581/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1581/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1581/events | https://github.com/NVIDIA/NeMo/issues/1581 | 771,270,856 | MDU6SXNzdWU3NzEyNzA4NTY= | 1,581 | Fine-tuning of VAD EncDecClassificationModel fails while computing classification accuracy | {
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"This is an issue due to Pytorch 1.7.1 changes regarding how float tensors are cast inside torch.tensor(). There is currently a PR to update NeMo to 1.7.1 here - https://github.com/NVIDIA/NeMo/pull/1579\r\n\r\nHowever, there are other pressing issues before that PR can be merged, and it is unlikely to be merged in ... | 2020-12-19T01:26:07 | 2021-02-17T22:57:17 | 2021-02-17T22:57:17 | NONE | {
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I tried to fine-tune EncDecClassificationModel with my labels and encountered `TypeError: only integer tensors of a single element can be converted to an index`. The error came from `NeMo/nemo/collections/common/metrics/classification_accuracy.py`
**Steps/Code to reproduce bug**
```python3... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1580 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1580/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1580/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1580/events | https://github.com/NVIDIA/NeMo/pull/1580 | 771,206,577 | MDExOlB1bGxSZXF1ZXN0NTQyODA0MzM0 | 1,580 | Correcting few corner case in validation evaluation during training | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/1579 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/1579/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/1579/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/1579/events | https://github.com/NVIDIA/NeMo/pull/1579 | 771,199,708 | MDExOlB1bGxSZXF1ZXN0NTQyNzk4NTM5 | 1,579 | Update CI to 20.12 | {
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"@drnikolaev the unit tests crash for all onnx related exports.",
"closing as duplicate of https://github.com/NVIDIA/NeMo/pull/1603 "
] | 2020-12-18T22:13:42 | 2021-01-06T21:08:49 | 2021-01-06T19:12:31 | COLLABORATOR | {
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} | - [x] Refactor classification models and label models in audio_to_label
- [x] Add support for tarred dataset for audio_to_label
- [x] Update classification models
- [x] Update VAD inference (should belong to Speaker Diarization pipelines PR but need to be used here)
- [x] Update training script, config, and instru... | {
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