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# Changelog
Fixes bugs and typos in
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- https://nvbugspro.nvidia.com/bug/4411322
- https://nvbugspro.nvidia.com/bug/4410625
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"Thanks for letting us know. @athitten could you take a look if we can safely unpin Transformers ? Fyi @ericharper ",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"Any news related to this issue?",
"This issue is ... | 2023-12-20T11:51:44 | 2024-03-01T01:45:25 | 2024-03-01T01:45:25 | NONE | {
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- https://www.cve.org/CVERecord?id=CVE-2023-6730
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} | null | null | null | **Describe the bug**
Refer to this blog, training LLaMA 13B with NeMo 23.08 could achieve 2357 Tokens/s/GPU

Yet, I can only achieve under 1900 Tokens/s/GPU
 Move wrapper to base class
2) Need to pass in args[module] = self.model to bert model
**Collection**: NLP
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} | # What does this PR do ?
Fixes a bug where inference on CPU was segfaulting.
**Collection**: Tutorials
# Changelog
- Moved tensor to GPU when possible
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
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https://api.github.com/repos/NVIDIA/NeMo/issues/8052 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8052/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8052/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8052/events | https://github.com/NVIDIA/NeMo/pull/8052 | 2,049,132,594 | PR_kwDOC_bI7s5iZTsL | 8,052 | Mistral 7b conversion script | {
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"Could you please keep the conversion script consistent with other ones? I specifically mean:\r\n* https://github.com/NVIDIA/NeMo/blob/main/scripts/nlp_language_modeling/convert_mpt_7b_hf_to_nemo.py\r\n* https://github.com/NVIDIA/NeMo/blob/main/scripts/nlp_language_modeling/convert_starcoder_hf_to_nemo.py\r\n* http... | 2023-12-19T17:32:25 | 2024-01-25T18:45:57 | 2024-01-25T18:45:56 | MEMBER | {
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} | # What does this PR do ?
Adds conversion script for mistral-7b to NeMo.
**Collection**: [Note which collection this PR will affect]
nlp/language_modeling
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# A... | {
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"Re-opening, can someone please help review this minor chan... | 2023-12-19T14:16:06 | 2024-01-22T16:40:03 | 2024-01-22T16:40:02 | COLLABORATOR | {
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} | # What does this PR do ?
This prevents NeMo from crashing when trying to delete a checkpoint that has already been deleted.
This situation may happen for instance after manually fixing corrupted checkpoints.
Note that I believe PTL also has a similar safety guard: https://github.com/Lightning-AI/lightning/blob... | {
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"The docs should be up and running again, I'll inform the team about the broken links. ",
"Links are updated, pls let us know if you find any issues. "
] | 2023-12-19T12:53:20 | 2023-12-23T17:54:40 | 2023-12-23T17:54:40 | NONE | {
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} | null | null | null | Links in README lead to docs on NVIDIA website, but at least some of them seem to be broken. I checked the NLP section, specifically these two:
NLP
[NeMo Megatron pre-training of Large Language Models](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/intro.html)
[Neural Machine... | {
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"I found that enabling ub_tp_comm_overlap will create a new mpi process group, which will cause problems. I don't know if it has something to do with the mpi version.",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"... | 2023-12-19T08:26:51 | 2024-01-27T01:43:31 | 2024-01-27T01:43:31 | NONE | {
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crash when run gpt with ub_tp_comm_overlap

**Environment overview (please complete the following information)**
- Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS,... | {
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} | # What does this PR do ?
Fixes a bug where inference on CPU was segfaulting.
**Collection**: Tutorials
# Changelog
- Moved tensor to GPU when possible
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
-... | {
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"@titu1994 <- `wer` metric changes as discussed in thread. (gonna just do the refactoring first before deciding on what to do with bleu)\r\n\r\n@AlexGrinch <- fly by change for `transformer_bpe`",
"> Wait what exactly is going on with the removal of decoding logic?? Revert that\r\n\r\nWhich, moving the decoding i... | 2023-12-19T01:37:04 | 2024-01-05T23:45:52 | 2024-01-05T23:45:52 | COLLABORATOR | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
- Reformats `collections.asr.metrics` wer classes into a single class for model modularity.
**Collection**: [Note which collection this PR will affect]
ASR TTS Multimodal
# Changelog
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] | 2023-12-18T21:03:44 | 2023-12-29T07:37:01 | 2023-12-29T07:37:01 | CONTRIBUTOR | {
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} | # What does this PR do ?
Pin Lightning-Utitilies package version due to broken NamedTuple in `0.10.0`
https://github.com/Lightning-AI/utilities/pull/160 introduced the issue,
https://github.com/Lightning-AI/utilities/blob/a00e1144dd300e3bc2fc8746a8e85510ffe35aa7/src/lightning_utilities/core/apply_func.py#L67 here... | {
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} | # What does this PR do ?
Fix Common Voice data download.
**PR Type**:
- [ ] New Feature
- [V] Bugfix
- [ ] Documentation
# Additional Information
* Related to bug 4405781
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"Thanks for letting us know, we're looking into it. ",
"This should be fixee now. Thanks for letting us know !"
] | 2023-12-18T12:32:08 | 2023-12-19T17:53:06 | 2023-12-19T17:53:05 | NONE | {
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} | null | null | null | **Describe the bug**
Nemo Documentation User Guide doesn't work
Link:
https://docs.nvidia.com/deeplearning/nemo/user-guide/index.html
Output Message:
An error occurred while processing your request.
Reference #30.3ff01202.1702902642.32d3d058
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"jenkins",
"merging this as this is critical to unblock any llama2 workflows"
] | 2023-12-18T12:19:13 | 2024-01-04T16:35:43 | 2024-01-04T16:35:19 | CONTRIBUTOR | {
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} | # What does this PR do ?
Fix the issue when running Llama2 eval or LLama2 SFT.
```
megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded ((32, 22016, 4096)) and expected ((32, 11008, 4096)) tensor for key model.decoder.layers.mlp.linear_fc1.weight
```
**Collection**: [N... | {
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"We are aware of this, hence the Todo to remove it. But our condition for removal is that we update all the PC models we release such that they do not have spaces between special tokens. So the removal won't have an effect at that point since all the models will anyway emit no space between special tokens. \r\n\r\n... | 2023-12-18T09:47:05 | 2024-01-25T01:47:44 | 2024-01-25T01:47:44 | NONE | {
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} | null | null | null | Hello,
I've come across an issue in the `nemo/collections/asr/metrics/wer.py` file, specifically within the `decode_hypothesis` function. There's a particular segment of code, marked for future removal (noted with a TODO comment) at line 546, which I believe should be eliminated.
This issue becomes apparent durin... | {
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale."
] | 2023-12-16T09:18:31 | 2024-01-31T01:44:09 | 2024-01-31T01:44:09 | CONTRIBUTOR | {
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} | null | null | null | The script is being used in the tutorial `Fine-tuning CTC Models on New Languages (https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/asr/ASR_CTC_Language_Finetuning.ipynb#scrollTo=Inwx4OE97guu)` to download the Japanese dataset from Mozilla's Common Voice. However, the download link to the scri... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8038 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8038/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8038/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8038/events | https://github.com/NVIDIA/NeMo/pull/8038 | 2,044,543,681 | PR_kwDOC_bI7s5iJ47q | 8,038 | Adding method back that was removed accidentally | {
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"jenkins",
"@ericharper should we move this to the base model instead ?",
"jenkins",
"> @ericharper should we move this to the base model instead ?\r\n\r\nYes, let's do it in another pr."
] | 2023-12-16T01:11:43 | 2023-12-16T08:58:20 | 2023-12-16T08:58:19 | COLLABORATOR | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2023-12-15T23:16:09 | 2024-02-01T01:42:15 | 2024-01-31T01:16:46 | COLLABORATOR | {
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cc @vsl9, @VahidooX
# What does this PR do ?
Adding the notebook that allows us to do real-time streaming using a cache-aware fastconformer model (supports single-lookahead and multi-lookahead models).
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"Closed by https://github.com/NVIDIA/NeMo/pull/8038."
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} | # What does this PR do ?
When running GPT with O2 enabled, I am seeing errors at the following line since `_wrap_model_for_O2` is not defined:
https://github.com/NVIDIA/NeMo/blob/852338459c78c257a2b5f6688c0b1a5d2b048366/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L266
This function was ... | {
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"Touch.",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was ... | 2023-12-15T22:57:16 | 2024-03-02T01:43:20 | 2024-03-02T01:43:20 | NONE | {
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https://developer.nvidia.com/blog/new-nvidia-nemo-framework-features-and-nvidia-h200-supercharge-llm-training-performan... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Upgrades NeMo to use PTL 2.1 and 2.2. NeMo now uses PTL 2.2.1 (the current latest release).
Major changes that are seen across a lot of files in the PR:
1. The function signature of `train/validation/test_step` is changed while using the `dataloader_iter` API. The `batch_idx` arg is re... | {
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed ... | 2023-12-15T01:04:20 | 2024-02-23T04:17:34 | 2024-02-23T04:17:34 | COLLABORATOR | {
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} | # What does this PR do ?
Add a condition for all adapters modules: run through the adapter only when it is enabled
Add merging script for all lora layers.
# Usage
To enable or disable an adapter, we can use
```python
AdapterModuleMixin.set_enabled_adapters(name, enabled = True)
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} | # What does this PR do ?
Add Docs and Tests to NeMo Multimodal
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
Fix compatibility of the core classes (`NeuralModule`, `Exportable`, etc.) with `torch.jit.script`.
Currently inheriting from `NeuralModule` instead of `nn.Module` breaks `torch.jit.script` compiler.
**Collection**: [Core]
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"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2023-12-14T05:45:03 | 2024-01-18T01:46:03 | 2024-01-18T01:46:03 | NONE | {
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After #7455 , `ModelPT.val_dataloader()` and `ModelPT.test_dataloader()` return empty lists instead of None.
This modification causes `ModelPT.setup()` failed to pass the 'if' statements at line 835 and 844, and the dataloaders are therefore remaining empty lists without construction:
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"I ran into the same issue => hacked the code to zero out the loss on problematic micro-batches: https://github.com/odelalleau/NeMo/commit/b383e6a1e55dd315fa194c0a8fafd7ee3fef3437\r\n\r\n(obviously not a proper fix but can be useful to get unblocked)",
"Yeah, this will also fix the problem. ",
"This issue is st... | 2023-12-13T18:46:32 | 2024-02-24T01:43:03 | 2024-02-24T01:43:03 | NONE | {
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} | null | null | null | **Describe the bug**
In the `GPTSFTChatDataset`, if the first prompt length exceeds `max_seq_length`, all following turns are truncated out. Then the `loss_mask` becomes all `False` for the example.
https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/data/language_modeling/megatron/gpt_sft_chat_dataset.... | {
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"Closing this issue as it was already answered here:\r\n\r\nhttps://github.com/NVIDIA/NeMo/issues/4390"
] | 2023-12-13T16:03:29 | 2023-12-19T15:09:15 | 2023-12-19T15:09:15 | CONTRIBUTOR | {
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I would like to train a Neural Rescorer model for ASR using the transformer_lm.py script. I have one small question:
In the documentation it says: "Our LMs support all tokenizers available in NeMo, but require special beginning-of-string <bos> and end-of-string <eos> tokens."
But I imagine that the tokeni... | {
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"Hi, apologies for late response. \r\n\r\nHave you looked at these sections on finetuning: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/configs.html#fine-tuning-configurations and https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/asr/examples/kinyarwanda_asr.html#trainin... | 2023-12-12T20:44:19 | 2024-01-31T01:44:11 | 2024-01-31T01:44:10 | NONE | {
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} | null | null | null | How is it possible to finetune the citrinet model? On nvidias documentation I saw something similar to TAO toolkit but never saw any example on it. On the other hand I saw the japanese finetuning process. And for me I’m spotting for a wer of less 5%. I got a deadline in less than 3 weeks , can someone help ?! | {
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"@titu1994 It seem to be a know issue, hope will be fixed soon https://github.com/Lightning-AI/utilities/issues/196",
"Merging for now - fyi @ericharper @athitten ",
"Don't merge this to main for now (unless Eric or @athitten gives the go ahead for main)",
"@titu1994 The issue is fixed in Lightni... | 2023-12-12T17:35:49 | 2023-12-20T18:57:17 | 2023-12-18T21:02:59 | COLLABORATOR | {
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} | # What does this PR do ?
Pin Lightning-Utitilies package version due to broken NamedTuple in `0.10.0`
https://github.com/Lightning-AI/utilities/pull/160 introduced the issue,
https://github.com/Lightning-AI/utilities/blob/a00e1144dd300e3bc2fc8746a8e85510ffe35aa7/src/lightning_utilities/core/apply_func.py#L67 here... | {
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} | # What does this PR do ?
Check `torchaudio` dependencies. Exit with the appropriate message if some dependencies are not installed.
Fixes bug: https://nvbugspro.nvidia.com/bug/4403803
**Collection**: [CI]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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"should be possible. Are you facing any issues while finetuning? \r\n@VahidooX to confirm. ",
"Not for offline model to streaming. You can do this if you keep the encoder architecture the same, with the flags for loading a checkpoint inside the maybe init from checkpoint function. You will have to exclude the dec... | 2023-12-12T15:19:04 | 2024-08-08T03:44:21 | 2024-02-15T01:44:10 | NONE | {
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"> Ooh so the issue was missing dependencies and not the torchaudio code itself ? Won't we need to install the dependencies anyway inside container?\r\n\r\n@titu1994 We install the dependencies when building the container https://github.com/NVIDIA/NeMo/blob/main/Dockerfile#L34"
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} | # What does this PR do ?
Check `torchaudio` dependencies. Exit with the appropriate message if some dependencies are not installed.
Fixes bug: https://nvbugspro.nvidia.com/bug/4403803
**Collection**: [CI]
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | # What does this PR do ?
Check `torchaudio` dependencies. Exit if not installed with the appropriate message.
Fixes bug: https://nvbugspro.nvidia.com/bug/4403803
**Collection**: [CI]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage ... | {
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} | # What does this PR do ?
Fix Common Voice data download.
**PR Type**:
- [ ] New Feature
- [ V] Bugfix
- [ ] Documentation
# Additional Information
* Related to # (issue)
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} | # What does this PR do ?
Fix for en to any training / finetuning of model for different language pairs,
With this fix , the en to any NMT model can be finetuned for a different subset of language pairs than the model was originally pretrained on. During pretraining , we need to set the pretrained_language_list to ... | {
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} | # What does this PR do ?
This PR enhances the flexibility of CustomProgressBar by modifying the create_trainer method to accept callbacks as a method argument, replacing its previous fixed implementation.
**Collection**: NLP
# Changelog
Moved callbacks to method arguement.
# Usage
N/A
# Jenkins CI
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} | changed link from `../../examples/asr/conf/contextnet_rnnt/contextnet_rnnt.yaml` to `/content/configs/contextnet_rnnt.yaml` because the latter did not exist and threw and error when trying to load the yaml config file.
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
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} | # What does this PR do ?
Fix missing argument in script argparse
**Collection**: [ASR, NLP]
# Jenkins CI
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# Before your PR is "Ready for review"
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Fix missing argument in script argparse
**Collection**: [ASR, NLP]
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} | # What does this PR do ?
This PR adds an abstract base class for vector quantizers.
**Collection**: TTS
# Changelog
- Added `VectorQuantizerBase`
# Usage
n/a
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"This PR was c... | 2023-12-11T21:32:54 | 2024-02-07T00:36:05 | 2024-02-07T00:35:43 | CONTRIBUTOR | {
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} | # What does this PR do ?
Enables use of megatron timers in NeMo GPT pretraining and megatron_base based models.
**Collection**: collections/nlp/models/language_modeling
# Usage
```
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model.megatron_timer_kwargs.log_every_n_steps= 10
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} | # What does this PR do ?
Add a Chinese open-source LLM Baichuan2 (7B/13B) support.
**Collection**: NLP
# Changelog
- Add Baichuan2 model configuration.
- Add Baichuan2 hf-to-nemo conversion.
# Usage
```python
# Model conversion from huggingface to nemo
python ./scripts/nlp_language_modeling/convert_hf... | {
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"@Davood-M I am having the same error as input is not long enough in my ... | 2023-12-10T23:49:38 | 2024-05-24T17:03:06 | 2024-05-23T03:22:49 | COLLABORATOR | {
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} | # What does this PR do ?
When using small prompts, the GPT_SFT_DATASET generated input prompts because of this logic:
```
if len(ids) < truncation_length:
logging.warning(f'{key} is not long enough to truncate.')
truncation_length = len(ids)
if self.truncation_method == 'left':
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} | # What does this PR do ?
Simply add a missing word in the doc `Update asr_language_modeling.rst`.
# Changelog
NA
# Usage
NA
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read an... | {
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} | # What does this PR do ?
Enable the use of pipelined tensor-parallel communication overlap with mcore path.
Removed the condition that enables the use of `ub_tp_comm_overlap` only with `transformer_engine=True`.
# Usage
* You can potentially add a usage example below
```python
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} | Redid this PR from https://github.com/NVIDIA/NeMo/pull/7999
An attempt to fix https://github.com/NVIDIA/NeMo/issues/7445 so that the data simulator .ctm are compliant with RT-09 specification (see https://web.archive.org/web/20170119114252/http://www.itl.nist.gov/iad/mig/tests/rt/2009/docs/rt09-meeting-eval-plan-v2.... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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Merge Toxicity classifier branch into main
**Collection**: nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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"This PR is stale because it has been open for 14 days with no activity.... | 2023-12-08T09:36:31 | 2024-03-21T18:26:59 | 2024-02-29T17:49:35 | CONTRIBUTOR | {
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} | # What does this PR do ?
Fix convert_nemo_llama_to_hf.py:
- Correctly account for `megatron_amp_O2` flag
- Save HF model with correct precision
- Transfer over the NeMo tokenizer, instead of using the possibly-incompatible default tokenizer
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- Resize the model's em... | {
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Fix crash when converting to mcore a model using rotary embeddings.
The problem is that mcore models don't register `rotary_pos_emb.inv_freq` as a buffer anymore.
I made it a command-line argument so that if the same issue occurs with other parameters / buffers, users can still run the... | {
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Add rotary base paramter to conversion script for llama hf to nemo
**Collection**: NLP
```python
# Add a code snippet demonstrating how to use this
```
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready fo... | {
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There is no `spe_byte_fallback` argument in process_asr_text_tokenizer.py
**Steps/Code to reproduce bug**
Just run the process_asr_text_tokenizer with any args, e.g.:
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} | # What does this PR do ?
Notebook fixes
**Collection**: [ASR]
# Changelog
- Update Librosa signature to use only kwargs
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
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} | # What does this PR do ?
Notebook fixes
**Collection**: [ASR]
# Changelog
- Update Librosa signature to use only kwargs
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
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Fixes issue with librosa display issue with 0.10.1 https://github.com/librosa/librosa/issues/1763
# Before your PR is "Ready for review"
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Fixes issue with librosa display issue with 0.10.1 https://github.com/librosa/librosa/issues/1763
# Before your PR is "Ready for review"
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Update branch name
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Is there a plan for incorporating mistral into the training pipeline? Or ha... | {
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Add LoRA support to all linear transformations in Attention and MLP modules in NeMo and MCore GPT models.
**Collection**: [Note which collection this PR will affect]
nlp
# Usage
To add LoRa to specific layer, just add the **target_modules** parameter to lora_tuning. The available con... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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} | # What does this PR do ?
Rename a test that was shadowing another test.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Renamed test
# Usage
n/a
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2023-12-06T20:04:38 | 2024-02-02T02:04:00 | 2023-12-29T01:43:12 | COLLABORATOR | {
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} | # What does this PR do ?
Pre-create cumulative sequence argmins and the max sequence length per micro-batch on the CPU tensor. This avoids copying the GPU tensor to calculate this information on the CPU.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how ... | {
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} | # What does this PR do ?
Add news section to README.
Edit:
News section will temporarily be at the top of the page. We'll move the news lower in the README as the news ages.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in... | {
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"hi @MarceloSancinetti , this was my model, but I do not know about torchscript so can't help with that. Basically, ThutmoseTagger is just a token classification bert-based model. If you have questions about meaning of its elements, you can ask",
"Hello @bene-ges, thank you for your response. I've been using your... | 2023-12-06T16:58:29 | 2024-04-26T14:57:04 | 2024-01-19T01:46:54 | NONE | {
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```
from helpers import ITN_MODEL, instantiate_model_and_trainer
from omegaconf import DictConfig, Om... | {
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"I don't know why we need this. It breaks a bunch of things at this point. Is it worth it to change it?",
"> I don't know why we need this. It breaks a bunch of things at this point. Is it worth it to change it?\r\n\r\nThat's quite surprising.. Let me retry the Jenkins pipeline.\r\n\r\nI'm not insisting on that t... | 2023-12-06T10:26:39 | 2024-01-28T01:45:03 | 2024-01-28T01:45:03 | COLLABORATOR | {
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} | # What does this PR do ?
Removes explicit code to call superclass method (cleanup).
**Collection**: [NLP]
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor ... | {
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} | # What does this PR do ?
Removes deprecated trainer option in MPT conversion script.
**Collection**: [NLP]
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor... | {
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"jenkins",
"> Thanks LGTM\r\n\r\nThanks! I've just rebased it, I'll merge once pipeline completes."
] | 2023-12-06T10:22:48 | 2023-12-18T11:21:17 | 2023-12-18T11:21:16 | COLLABORATOR | {
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} | # What does this PR do ?
When debugging artifact items I struggled with `ArtifactItem` as it is defined with `init=False` which results in issues when printing an instance of this class.
The following minimal example illustrates the problem - this code
```
from dataclasses import dataclass
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} | # What does this PR do ?
An improvement to use `torch_dtype_from_precision` helper to resolve precision.
**Collection**: [NLP]
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and f... | {
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} | # What does this PR do ?
Minor extra fixes to Llama conversion script.
**Collection**: [NLP]
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](h... | {
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} | # What does this PR do ?
- Provide a common way for loading state_dict for HF models among different conversion scripts
- Deduplicate tokenizers in the Nemo file produced: the model now comes with a single copy instead of an extra redundant tokenizer file (which is an undesired side effect of [`load_model` function... | {
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"This is now at parity with the original blank_as_pad greedy RNN-T decoding implementation. Currently, I can decode librispeech test clean in 1 min, 39 seconds, whil... | 2023-12-06T05:33:15 | 2024-02-09T01:43:49 | 2024-02-09T01:43:49 | COLLABORATOR | {
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} | # What does this PR do ?
Greedy RNNT inference currently sees the GPU idle 90% of the time because of CPU overheads. This experiments with using cuda graphs to do greedy inference, so that we can decoder at much higher throughputs. Very WIP. I began to work on this because I discovered that using TensorRT was not he... | {
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"Hi, @benhoff. \r\n`__call__()` function should be preceded by \r\n`diarize = NeuralDiarizer.from_pretrained(model_name='diar_msdd_telephonic')`\r\nTo run diarization as the simplest form, e.g., `diarize('audio.wav')`\r\n\r\nThis call function is designed for hugging face API, to minimize the preparation steps.\r\n... | 2023-12-05T18:38:48 | 2024-01-08T23:36:10 | 2024-01-08T23:36:10 | NONE | {
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If you use the `__call__` method from NeuralDiarizer instead of the `diarize` method, you get the below stack trace.
```
File ~/swdev/speech_processing/venvNemo/lib/python3.11/site-packages/nemo/collections/asr/models/msdd_models.py:1514, in NeuralDiarizer.__call__(self, audio_filepath, batc... | {
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"@vysarge \r\nAre you going to open this PR?",
"We need this update, right? \r\nLet's merge this PR ASAP as the change looks to be straightforward. \r\n\r\n@vysarge \r\nPlease change the merge target to the main branch."
] | 2023-12-05T18:08:11 | 2024-03-12T22:36:45 | 2023-12-16T01:26:01 | COLLABORATOR | {
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} | # What does this PR do ?
Adds progress bar logging for sequence length (including padding tokens) and real token count for each train step with MegatronGPTSFTModel to enable accurate calculation of tokens/sec and related metrics. Depends upon #7945.
**Collection**: nlp/language_modeling
# Changelog
- Alters... | {
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} | # What does this PR do ?
Support O2 training (`model.megatron_amp_O2=True`) of PEFT and SFT using the refactored PEFT APIs.
This was listed as a known issue since the PEFT Refactor (#7308). This PR fixes that issue.
Code was tested on GPT and T5, PEFT and SFT.
**Collection**: NLP
# Jenkins CI
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} | # What does this PR do ?
Add multimodal support, second PR, includes text to image, x to nerf source code
**Collection**: Multimodal
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet de... | {
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"This PR is stale because it has been open for 14 da... | 2023-12-04T21:23:56 | 2024-01-27T20:30:24 | 2024-01-27T20:29:56 | COLLABORATOR | {
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} | # What does this PR do ?
Add starcoder NeMo -> HF conversion script
**Collection**: NLP
# Usage
See script header
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followe... | {
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This change enabled dependabot to automatically generate PRs for updated images in Dockerfiles or updated github-action versions. This will help the maintainers keep dependencies up to date.
**Collection**: N/A
# Changelog
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} | # What does this PR do ?
Enables running MegatronGPTSFTModel with virtual pipeline parallel when peft_scheme=null.
**Collection**: NLP (language_modeling)
# Changelog
- Alters word embedding initialization and passing of several parameters in MegatronGPTSFTModel to accommodate virtual pipeline parallelism wh... | {
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SFT patch: (1) enable sequence parallelism and (2) enable profile
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# Jenkin... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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} | null | null | null | **Describe the bug**
Encounter this error when execute scripts/nlp_language_modeling/merge_lora_weights/merge.py with lora and base gpt 126m model.
A clear and concise description of what the bug is.
**Steps/Code to reproduce bug**
execute this on A100 dgxa100.80g.2.norm
```bash
python3 /opt/NeMo/scripts/nlp_... | {
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"The `compute_logprob` argument seems to have different meaning in different functions.\r\n\r\nWhen starting a model server, the `compute_logprob` argument will return the logprobs of the generated tokens as well. See the following example. I started a model server ([script](https://gitlab-master.nvidia.com/shengya... | 2023-11-30T16:03:29 | 2024-01-31T01:44:12 | 2024-01-31T01:44:12 | COLLABORATOR | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
It's very confusing to have a `compute_logprob` flag in `SamplingParam` that has nothing to do with sampling from the model, and actually completely changes the behavior of the `generate()` function so that instead of generating text, it only compute... | {
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"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.",
"This issue was closed because it has been inactive for 7 days since being marked as stale.",
"Hi!\r\n\r\nAny update on this issue? I'm interested at least on logging `to... | 2023-11-30T15:31:05 | 2024-08-10T12:19:54 | 2024-01-07T01:48:53 | NONE | {
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} | null | null | null | Made some updates to the Docker image to support Pytorch NGC 23.10 so that i can consume the performance updates in NCCL 2.19.3. I am running some benchmarks with a prepared NemoMegatron 7B w/ Wikipedia and was wondering how i get a more representative performance callback data.
For example
```
Epoch 0: : 3%|▎ ... | {
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"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
".",
"This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.",
"This P... | 2023-11-30T09:58:13 | 2024-01-09T01:46:17 | 2024-01-09T01:46:16 | CONTRIBUTOR | {
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} | # What does this PR do ?
Update the multimodal/speech_cv branch to support audio-visual speech recognition (CTC, RNN-T and Hybrid)
**Collection**: [multimodal/speech_cv]
# Changelog
- Update speech_cv branch
- bug fix
- Add audio-visual datasets
- Add audio-visual models: (AudioVisualEncDecCTCModelBPE, Au... | {
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"looks like there are no existing checkpoints for it to restore from. Hence you also need to add `ignore_no_checkpoints` option as well to ignore when there are no checkpoints. Note that checkpoints need to be in `ckpt` format. ",
"Hi, @nithinraok \r\n\r\nI trained for one epoch using [speaker_reco.py](https://gi... | 2023-11-30T08:05:07 | 2024-03-04T01:46:52 | 2024-03-04T01:46:52 | NONE | {
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} | null | null | null | Hi,
How can I resume the training of a SpeakerNet?
I already set `resume_if_exists: True `.
But get error:
`nemo.utils.exp_manager.NotFoundError: There was no checkpoint folder at checkpoint_dir :exp/SpeakerNet/SpeakerNet/checkpoints. Cannot resume.`
I also set `create_checkpoint_callback: True`, I thou... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/7954 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/7954/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/7954/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/7954/events | https://github.com/NVIDIA/NeMo/issues/7954 | 2,017,021,360 | I_kwDOC_bI7s54OU2w | 7,954 | [ASR] Beam Search Decoding How to Get Beam of Tokens as Output | {
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"I don't believe we've implemented beam search for transducer plus greedy word timestamp extraction.",
"Would this be possible using CTC decoding, if I used a Conformer-CTC model instead?",
"@titu1994 does this PR not give the results that I am looking for? Or does the 'preserve_alignments' part refer to someth... | 2023-11-29T16:51:41 | 2023-12-04T20:59:45 | 2023-12-04T20:59:44 | NONE | {
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} | null | null | null | I am using a Conformer-Transducer model and using the `transcribe_speech.py` script for transcript generation.
I am looking to get a time-aligned word-level transcript output, but instead of just the best hypothesis, I want to get N best tokens for each token location, i.e. for each word location, I want the N best pr... | {
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"@titu1994 have you worked something similar before? ",
"Is your model on Cuda ? \r\n\r\nCuda does not work with multi threading, only with multi processing. It simply does not support instantiating two separate cuda contexts (that's why all data loaders are multi process) on the same process. That can be one rea... | 2023-11-29T16:39:55 | 2024-01-31T01:44:13 | 2024-01-31T01:44:13 | CONTRIBUTOR | {
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} | null | null | null | Hi everybody,
I have an application that communicates through rabbitmq queues. I am using a class that inherits multiprocessing.Process:
`class ThreadedConsumer(multiprocessing.Process)`
In this class, I would like to instantiate 3 processes, where each process transcribes an input file.
Now, in order to us... | {
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