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File "/opt/conda/lib/python3.10/site-packages/nemo/collections/asr/parts/preprocessing/features.py", line 414, in forward
x = torch.cat((x[:, 0].unsqueeze(1), x[:, 1:] - self.preemph * x[:, :-1]), dim=1)
IndexError: index 0 is out of bounds for dimension 1 with size 0
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we've cherry picked #11661 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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(from commit 24b9e92dae026b5) fails:
```
Building wheels for collected packages: nemo_toolkit, mamba-ssm, antlr4-python3-runtime, progress, clip, fasttext, kaldi-python-io, pesq, rouge_score, ... | null | {
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Starting from here:
https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/starthere/tutorials.html#tutorial-overview
The links in the above page reference the `stable` tag from this repo:
https://colab.research.google.... | null | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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Follow up to https://github.com/NVIDIA/NeMo/pull/11648 to remove deprecated params from the Fiddle config on the fly rather than use auxiliary script.
**Collection**: LLM
# Changelog
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# Usage
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} | beep boop [🤖]: Hi @yashaswikarnati 👋,
we've cherry picked #11654 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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} | null | null | null | **Describe the bug**
I am trying to export the preprocessor class of Quartznet model to onnx. My requirement is to run preprocessing in a non-python environment. However, the export is failing.
**Steps/Code to reproduce bug**
The bug can be reproduced using the following code -
```
quartznet = nemo_asr.models.Enc... | null | {
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The version of transformer engine 1.6.0+c81733f. Should I update to newer te version?
When I update trans... | null | {
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we've cherry picked #11611 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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we've cherry picked #11669 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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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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we've cherry picked #11675 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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} | # What does this PR do ?
Interface for precision-aware optimizer that uses Transformer Engin optimizer.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add the interface to enable precision-aware optimizer at both nemo 1.0 and 2.0
# Usage
- Set `recipe.optim.config.use_precision... | {
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'[datasets](https://pypi.org/project/datasets/#history)' recently released the latest version `3.0.0` on Sep 11th, but some HF datasets (e.g., [MCV 3.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_3_0), [MCV 6.1](https://huggingface.co/datasets/mozilla-foundation/common_v... | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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} | # What does this PR do ?
Fixing the device assignment issues during inference (test_batch) in Sortformer model
**Collection**:
ASR/speaker_tasks
# Changelog
- removed redundant device assignment in `audio_to_diar_labels.py`
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Equivalent docs in NeMo 2:
dev_guide.rst -- https://docs.nvidia.com/nemo-framework/user-guide/latest/nemo-2.0/features/hf-integration.html#create-a-model-importer
user_guide.rst -- https://docs.nvidia.com/nemo-framework/user-guide/latest/nemo-2.0/features/hf-integration.html#fine-tune-a-mo... | {
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* Allowing to instantiate tokenizer for 2.0 checkpoints in `nemo.export` in limited environment w/o full nemo_toolkit>=2.0
* Removing direct import of `tensorrt_lazy_compiler` in `nemo.export` as in turn it triggers imports from `nemo.utils` that requires full NeMo installation
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we've cherry picked #11631 into for you! 🚀
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**Collection**:
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# Changelog
- Fix Inheritance of LLaVATemplateConfig and MLlamaTemplateConfig dataclasses by using field attribute with default values
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we've cherry picked #11659 into for you! 🚀
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Add a statement to use VAD only in colab environment
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Add flags
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} | # What does this PR do ?
Detecting and dropping unknown (deprecated) arguments from NeMo 2.0 io.json context.
**Collection**: LLM
# Usage
Loading the context for a NeMo 2.0 checkpoint produced using [24.09 container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo/tags) and used with a more recen... | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
* You can potentially add a usage example below
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"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.",
"Is there a timeline to merge this branch into main? @marcromeyn ",
"I can address the comments tomorrow, and get it in a mergeable state",
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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"Please check this: https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/language_modeling/upcycle_dense_to_moe.py"
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"> Great speedup, I am wondering would it be possible to remove the rest option all together from eval? There doesn't seem to be any benefit in keeping the eval with rest API as an option.\r\n\r\nThanks for the suggestion! Updated the PR and removed the rest API part.",
"[🤖]: Hi @HuiyingLi 👋,\n\nWe wanted to le... | 2024-12-18T04:06:30 | 2024-12-30T23:06:58 | 2024-12-30T23:06:56 | COLLABORATOR | {
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} | # What does this PR do ?
Using PyTriton grpc client instead of rest API when running evaluation due to the large logits payload.
On arc_challenge with bs=1, llama3-8b
Before (rest API): 9487.118s
After (gRPC client): 502.976
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
Changes:
1. Make LinearAdapter a nn.Linear child -> so that when we swap it in to replace a nn.Linear the .weight and .bias attributes remain the same, therefore maintaining the checkpoint keys name path.
2. make LinearAdapter work with FSDPv1
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} | # What does this PR do ?
There is already a `canary2.py` file under the `nemo/collections/common/prompts` folder. In this tutorial, we register a new custom prompt formatter with the name `canary2`, which creates a conflict with the existing `canary2.py`. This PR resolves the conflict by changing the variable name f... | {
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"[🤖]: Hi @cuichenx 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/12385186888) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n... | 2024-12-18T02:22:26 | 2024-12-20T06:23:15 | 2024-12-20T06:23:13 | COLLABORATOR | {
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**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
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} | beep boop [🤖]: Hi @titu1994 👋,
we've cherry picked #11638 into for you! 🚀
Please review and approve this cherry pick by your convenience! | {
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Add a note for Matchboxnet tutorial
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [... | {
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📝 Please remember the following to-do's before merge:
- [ ] Verify the presubmit CI
🙏 Please merge this PR only if the CI workflow completed successfully. | {
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"@weiqingw4ng lets merge this, but you have to cherry-pick / duplicate the PR to main. The current workflow is \r\n- send PRs to main\r\n- Add label 2.1.0 (or whatever is the latest) so that a CI action cherry picks the commit from main to the release branch.\r\n- Then merge both PRs.",
"\r\n\r\n\r\n> @weiqingw4n... | 2024-12-17T23:39:10 | 2024-12-18T02:45:20 | 2024-12-18T01:47:10 | COLLABORATOR | {
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} | # What does this PR do ?
There is already a `canary2.py` file under the `nemo/collections/common/prompts` folder. In this tutorial, we register a new custom prompt formatter with the name `canary2`, which creates a conflict with the existing `canary2.py`. This PR resolves the conflict by changing the variable name f... | {
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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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"@zhehuaichen",
"> Thank you so much! Can u attach a working recipe based on the same baseline as mine before merging /lustre/fs12/portfolios/llmservice/users/zhehuaic/works/mod_speech_llm/scripts/s2s_salm_1ab_d1r_12fps_duplex4_data_scalec_mistral.sh\r\n\r\nSure - here it is with a delay of 5 tokens: /home/kevinh... | 2024-12-17T22:44:05 | 2024-12-18T16:07:02 | 2024-12-18T16:07:02 | COLLABORATOR | {
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Add delay to speech codes prediction. | {
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📝 Please remember the following to-do's before merge:
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I used the class `ASRDecoderTimeStamps` with fastconformer model and observed incorrect timestamps on long (1 hour) audio. The timestamps near the end of file were offset by several seconds, bigger than the actual filesize.
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"[🤖]: Hi @kevalmorabia97 👋,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/12340762844) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay... | 2024-12-15T17:12:08 | 2024-12-16T21:33:56 | 2024-12-16T21:33:55 | COLLABORATOR | {
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"merged_at": "2024-12-16T21:33:55"
} | # What does this PR do ?
Set Minitron width pruning batch size 1. BS>1 leads to ~1% MMLU drop for Llama 3.1 8B -> 4.5B width pruning compared to Minitron paper
**Collection**: N/A
# Changelog
- Set Minitron width pruning batch size 1 for optimal results
# Usage
* You can potentially add a usage example b... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/11602 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/11602/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/11602/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/11602/events | https://github.com/NVIDIA/NeMo/issues/11602 | 2,740,628,317 | I_kwDOC_bI7s6jWqtd | 11,602 | nemo forced aligner ''Tutorial: "How to use NFA?" 🚀 " not working | {
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"color": "d73a4a",
"default": true,
"description": "Something isn't working"
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... | open | false | null | [] | null | [
"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."
] | 2024-12-15T12:54:57 | 2025-01-15T01:56:40 | null | NONE | {
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} | null | null | null | **Describe the bug**
nemo
[A clear and concise description of what the bug is.
https://github.com/NVIDIA/NeMo/tree/main/tools/nemo_forced_aligner
is no more working
](https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/tools/NeMo_Forced_Aligner_Tutorial.ipynb)
**Steps/Code to reproduce bug**
3.... | null | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/11601 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/11601/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/11601/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/11601/events | https://github.com/NVIDIA/NeMo/issues/11601 | 2,740,579,046 | I_kwDOC_bI7s6jWerm | 11,601 | NeMo won't install, no module named torch | {
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"When I download the latest NeMo container from [here](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo/tags):\n```bash\ndocker pull nvcr.io/nvidia/nemo:24.12\n```\n\nI see a version of Python of 3.10.12, rather than 3.12.3. There may be a compatibility issue with the later version of Python.\n\nWhen I us... | 2024-12-15T12:09:34 | 2025-01-02T20:17:37 | null | NONE | {
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} | null | null | null | **Describe the bug**
Hello! I performed the following list of commands to install NeMo:
```
python -m venv .venv
.venv/bin/python --version
>> Python 3.12.3
.venv/bin/python -m pip install torch torchvision torchaudio Cython packaging
.venv/bin/python -m pip install nemo_toolkit['all']
```
The last command output:
... | null | {
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