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"If you want to finetune using the original tokenizer, yes you'll need to normalize all numbers to spoken words. \r\n\r\nChanging tokenizer means you'll need a large amount of data to retrain the model, that is not suggested unless you have several thousand hours of speech to reach best results ",
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I want to fine tune "stt_en_fastconformer_hybrid_large_streaming_multi" on custom data.
In my dataset I have things like "Vitamin B12", "Code: c12r5", "hb1ac" etc
For these alphanumeric words:
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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
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"Hi @ericharper can I get a review on this PR? Thanks!"
] | 2024-05-06T21:47:20 | 2024-10-02T22:11:33 | 2024-05-08T17:28:53 | CONTRIBUTOR | {
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Add MoE dispatcher type and token drop support in NeMo
**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 ?
Use `mkdocs-redirects` plugin to redirect the gh pages website to https://research.nvidia.com/labs/conv-ai/.
**Collection**: [Note which collection this PR will affect]
# Changelog
- adds `mkdocs-redirects` to reqs
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} | # What does this PR do ?
Update parameter for gpt dataset config
**Collection**: [nlp]
# Changelog
- mock parameter is auto set by mcore
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# GitHub Actions CI
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
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"CICD passed, only optional test did not pass. Can go ahead & merge"
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} | # What does this PR do ?
Fixing error when image or video loader attempts to load image/video folder that is set to null.
**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 e... | {
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Youtokentome was archived in April 2024. It has several issues when installing on windows related to cython and visual studio C++ MSVC.
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"I will modify the code so that all the test cases pass soon. ",
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Even after addition of long form clustering feature, the code was failing because get_argmin_mat acted as a chokepoint and consumed too much memory for a mathematical operation that was not that complex. The tiling function ended up creating n^2 size matrices. The current function gives a dr... | {
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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 ?
Extensions in Lhotse dataloading augmentations:
* RIR augmentation support (currently requires lhotse RecordingSet input, see e.g. https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipes/rir_noise.py )
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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
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Adding deprecation warning to native NeMo RETRO
# Changelog
Adding deprecation warnings to:
- examples/nlp/language_modeling/megatron_retro_eval_legacy.py
- examples/nlp/language_modeling/megatron_retro_pretraining_legacy.py
- nemo/collections/nlp/models/language_modeling/megatron... | {
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"As I understand, problem is in: [nemo2riva/nemo2riva/patches/tts/fastpitch.py at r2.15.0 · nvidia-riva/nemo2riva](https://github.com/nvidia-riva/nemo2riva/blob/r2.15.0/nemo2riva/patches/tts/fastpitch.py). ... | 2024-05-03T11:37:55 | 2024-06-24T01:49:32 | 2024-06-24T01:49:31 | NONE | {
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When I try to export a model to Riva (using **nemo2riva==2.14.0**), the **FastPitch** model export doesn't work (meanwhile, the **HiFiGAN** export works wonderfully).
I've tried various combinations of **onnx** and **onnxruntime**, combinations of **NeMo** and **nemo2riva** versions, but in the end... | {
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"I followed this guide bu... | 2024-05-03T11:06:56 | 2024-06-21T01:47:32 | 2024-06-21T01:47:31 | NONE | {
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"Tests passed: https://github.com/NVIDIA/NeMo/actions/runs/8977317099\r\nLet me know if you want to merge"
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scripts to convert hugging face lora model into nemo.
**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 ?
Add llama3 and distributed checkpoint support in NeVA
**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
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I add a new flag "batched_inference" to the CTC greedy decoder.
**Collection**: ASR
# Changelog
- Support batched inference of greedy CTC decoding.
- Add support for batched inference for label inputs as well.
# Usage
Here is an example turning this on for transcribe_speech.py
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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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1. Removes a .cuda() in radtts.py
2. Adds a timeout on the test
3. Makes python unbuffered during CI
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} | # What does this PR do ?
Profile CUDA memory breakdown. The reference is available in the below link.
https://pytorch.org/blog/understanding-gpu-memory-1/
The memory profile will generate a `pickle file` and a user can load the file in the below page.
https://pytorch.org/memory_viz
# Changelog
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} | # What does this PR do ?
This PR enables users to train NeVa models on video data by slicing videos into specific number of frames.
Co-authored-by: Pratyush Muthukumar pmuthukumar@nvidia.com, Vivian Chen xuanzic@nvidia.com, Slyne Deng slyned@nvidia.com.
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} | # What does this PR do ?
Adds requirements.txt for the inference
**Collection**: [None]
# Changelog
- Adds requirements.txt for the inference
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Modified version of https://github.com/NVIDIA/NeMo/pull/9084, to debug a hang at https://github.com/NVIDIA/NeMo/blob/f658b6f0445403c338c7371941b1fe644832df48/nemo/core/optim/distributed_adam.py#L131
**Collection**: NLP
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] | 2024-05-02T15:51:46 | 2024-05-14T15:49:06 | 2024-05-03T13:57:58 | COLLABORATOR | {
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Removes/reduces the waiting on step 0 of a training loop for dataloading worker initialization. The waiting duration is specific to a given training setup and can range from a few seconds to a minute or two. An obvious factor is faster/slower disk/network, but also some settings e.g. using l... | {
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"Merging since only test failure is 1 known problematic test."
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} | # What does this PR do ?
Support Llama3 Hf <-> NeMo conversion
**Collection**: NLP/Llama
# Usage
```python
python scripts/checkpoint_converters/convert_llama_hf_to_nemo.py --input_name_or_path PATH_TO_HF_FOLDER --output_path converted_llama3_nemo.nemo
python scripts/checkpoint_converters/convert_lla... | {
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} | # What does this PR do ?
- Remove deprecated files from #8201
- Remove temporary changes due to #8590
**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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"@ShriyaPalsamudram Tested on Eos single-node, the updated code spits out a RuntimeError when the lock is not obtained within the given timeout period.",
"How were you able to create a timeout situation in one node? Did you set the timer to very very small value?"
] | 2024-05-02T00:43:56 | 2024-05-02T15:53:26 | 2024-05-02T15:53:26 | CONTRIBUTOR | {
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} | # What does this PR do ?
Modified version of https://github.com/NVIDIA/NeMo/pull/9084, to debug a hang at https://github.com/NVIDIA/NeMo/blob/f658b6f0445403c338c7371941b1fe644832df48/nemo/core/optim/distributed_adam.py#L131
**Collection**: NLP
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} | This has been tested only for Parakeet-CTC-1.1B right now. This problem certainly exists elsewhere.
It also is not ina mergeable state. This is my initial hack to fix the problem.
Automatic mixed precision and inference do not play well together.
Frankly, I do not think we should be using AMP in inference in ... | {
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This is to help debug a hang at https://github.com/NVIDIA/NeMo/blob/f658b6f0445403c338c7371941b1fe644832df48/nemo/core/optim/distributed_adam.py#L131
Add a one line overview of what this PR aims to accomplish.
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"Thank you, will try this out.\r\nBy the way as per the documentation in hugging face under which license does this and other parakeet models (rnnt) and come ... | 2024-04-30T17:53:27 | 2024-07-01T01:54:40 | 2024-07-01T01:54:40 | NONE | {
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I used the Long-audio-transcription-Citrinet.ipynb notebook to transcribe a long audio file the default Citrinet Model performs well but due to the High WER I wanted to try some of the recent models so I swapped it with the fast conformer model and got this error during computation
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} | # What does this PR do ?
Fix SD O1 amp training and add fp8 training support to SD.
**Collection**: Multimodal
# Usage
```yaml
model.uent_config.use_te_fp8=True
```
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.... | {
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Updates the HF to .nemo converter script to add support for Mixtral-8x22B-instruct.
In particular, the Mixtral-8x22B-instruct is identical to Mixtral-8x22B, except for the tokenizer.
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"Hi, i think you need to rebase with main, and do forced push to correct github",
"This PR is stale because it has been open for 14 days with no activity. Remove s... | 2024-04-29T17:39:58 | 2024-06-16T01:51:44 | 2024-06-16T01:51:43 | COLLABORATOR | {
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1) Adds deprecation warnings for models that will soon be removed.
2) Remove deprecated tests from unit tests and ci/cd.
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# Changelog
- Add specific line by line info of high level changes in this PR.
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Implement loading method for PyT Distributed based NeMo checkpoints (new optional format for training checkpoints).
Loading is backward-compatible - detects the checkpoint format and applies appropriate loading method.
**Collection**: NLP
# Changelog
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**Collection**: [Note which collection this PR will affect]
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# Usage
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"This PR was closed because it has been inactive for 7 days since being marked as stale."
] | 2024-04-29T14:29:29 | 2024-05-21T01:45:40 | 2024-05-21T01:45:39 | NONE | {
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} | # What does this PR do ?
Reuse pre-calculated probs in Nemo Forced Aligner to skip recalculation.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- added precalculated_probs_cache_file to NFA to reuse probs & skip transcription
# Usage
One way to get a relevant probs cache... | {
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} | # What does this PR do ?
Add China community model QWen1.5
https://huggingface.co/Qwen
https://github.com/huggingface/transformers/tree/main/src/transformers/models/qwen2
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
This PR runs tests for #9028, which is not targeted on `main` because of chain of dependencies (`mblaz/async-dist-ckpt-minimal-base`)
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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"I had the same issue and updated to `pytorch-lightning=2.2.1` and it worked.\r\nSomehow, when I installed everything from scratch, using `pip install nemo_toolkit['all']`, it did not install the right pytorch-lightning. If you look at the requirements files, it says it requires at least 2.2.1:\r\n```\r\ncat requir... | 2024-04-29T07:48:15 | 2024-06-22T01:46:25 | 2024-06-22T01:46:25 | NONE | {
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`from nemo.collections.tts.models.base import SpectrogramGenerator`
I get this error:
`Traceback (most recent call last):
File "/home/saeed/Codes/NeMo/tutorials/tts/Inference_ModelSelect.py", line 3, in <module>
from nemo.collections.tts.models.base import SpectrogramGenerator
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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."
] | 2024-04-28T19:45:34 | 2024-06-05T22:27:55 | 2024-06-05T22:27:54 | CONTRIBUTOR | {
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} | # What does this PR do ?
This PR enhances distributed adam by:
* Fix deprecation warning of `NCCL_ASYNC_ERROR_HANDLING`;
* Do not overwrite user desired configs for distributed adam;
* Preserve memory format when creating contiguous param buffers;
* Expose one API to let user lock SHArP tree;
This PR works ... | {
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"exp_dir = exp_manager(trainer, config.get("exp_manager",None))"
I've changed nothing on the tutorial, and I am getting errrors.
WHen I first run the cell , I get
"----------------------------------------------------------------... | {
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"> I added some high-level comments.\r\n> \r\n> How does this PR relate to this one: [NVIDIA/Megatron-LM#748](https://github.com/NVIDIA/Megatron-LM/pull/748)?\r\n\r\n\r\n\r\n> I added some high-level comments.\r\n> \r\n> How does this PR relate to this one: [NVIDIA/Megatron-LM#748](https://github.com/NVIDIA/Megatro... | 2024-04-26T19:44:56 | 2024-06-17T10:18:01 | 2024-06-15T01:07:37 | CONTRIBUTOR | {
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} | # What does this PR do ?
This PR creates a new CheckpointIO which allows users to upload checkpoints directly to S3.
Add a one line overview of what this PR aims to accomplish.
**Collection**: [NLP]
# Changelog
- Adds a new `S3CheckpointIO` to enable strategy to upload default checkpoints to S3.
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https://api.github.com/repos/NVIDIA/NeMo/issues/9042 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9042/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9042/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9042/events | https://github.com/NVIDIA/NeMo/pull/9042 | 2,264,555,256 | PR_kwDOC_bI7s5txxoV | 9,042 | Mingyuanm/sdxl quantization notebook | {
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} | # What does this PR do ?
Update quantization script and adding tutorial/documentation
**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
# Add a co... | {
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"Closing in favor of https://github.com/NVIDIA/NeMo/pull/9155"
] | 2024-04-25T19:21:41 | 2024-05-09T18:56:41 | 2024-05-09T18:56:40 | COLLABORATOR | {
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} | # What does this PR do ?
Context: together with @galv we found feature normalization and specaug to take approx 30% of the total forward step time in Canary training, due to CPU-bottlenecked implementations. Feature normalization is addressed in #8964.
This PR adds a GPU based SpecAugment. The original implement... | {
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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 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 becau... | 2024-04-25T15:22:15 | 2024-07-03T01:48:45 | 2024-07-03T01:48:44 | COLLABORATOR | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
I've been experimenting with `examples/asr/asr_cache_aware_streaming/speech_to_text_cache_aware_streaming_infer.py`. One of the things I've noticed is that the "greedy_batched" strategy does not support partial hypotheses. We should add support for t... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/9039 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9039/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9039/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9039/events | https://github.com/NVIDIA/NeMo/issues/9039 | 2,263,707,963 | I_kwDOC_bI7s6G7XE7 | 9,039 | Memory Allocation Error during alignement (tools/nemo_forced_aligner/align.py) | {
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"Hi, could you please show more of the error message/where exactly in the NFA code the error happens?\r\nDoes the error also happen with `batch_size=1`?",
"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... | 2024-04-25T14:13:19 | 2024-06-22T01:46:26 | 2024-06-22T01:46:26 | NONE | {
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} | null | null | null | **Describe the bug**
I am trying to run the `tools/nemo_forced_aligner/align.py` on a very small toy dataset but get the following error:
```
return torch._C._nn.pad(input, pad, mode, value)
RuntimeError: [enforce fail at alloc_cpu.cpp:114] data. DefaultCPUAllocator: not enough memory: you tried to allocate 109... | {
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"Actually no one of the new models has new_vocabulary argument.\r\nYou need to use \"change_vocabulary\" method\r\n\r\n```\r\nchar_model.change_vocabulary(\r\n new_tokenizer_dir=\"your_tokenized_folder\",\r\n new_tokenizer_type=\"bpe\"\r\n )\r\n\r\n```\r\n\r\nYou may receive \"your_tokenized_folder... | 2024-04-25T12:15:07 | 2024-04-27T10:39:11 | 2024-04-27T10:39:10 | NONE | {
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I am getting this error message, while I am trying to train EncDecRNNTBPEModel model.
Meanwhile the code is Ok with other models, for example with stt_en_quartznet15x5.
`TypeError: EncDecRNNTBPEModel.change_vocabulary() got an unexpected keyword argument 'new_vocabulary'
`
**Describe the bug**
... | {
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} | # What does this PR do ?
This PR enhances distributed adam by:
* Fix deprecation warning of `NCCL_ASYNC_ERROR_HANDLING`;
* Do not overwrite user desired configs for distributed adam;
* Preserve memory format when creating contiguous param buffers;
* Expose one API to let user lock SHArP tree;
This PR works ... | {
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"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"This PR is stale because it has been open for 14 days with no activity.... | 2024-04-24T22:36:58 | 2024-07-26T17:38:25 | 2024-07-26T17:38:23 | CONTRIBUTOR | {
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} | # What does this PR do ?
This PR leverages new mcore gpt spec handling. (not yet merged to mcore)
**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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"@ericharper Can you trigger test?",
"the tests are triggered, only need to add the \"Run CICD\" label ",
"@ericharper will the tests be re-triggered automatically after I made new changes with the CICD label? It looks like it still needs t... | 2024-04-24T20:53:49 | 2024-05-07T20:58:59 | 2024-05-07T18:29:56 | CONTRIBUTOR | {
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} | # What does this PR do ?
Add Mcore DistributedDataParallel and distributed optimizer into Nemo `examples/nlp/language_modeling/megatron_gpt_pretraining.py`
# Changelog
- Port DistributedDataParallel to Nemo
- Add a wrapper McoreDistributedOptimizer to bypass torch/PTL assertion check
- Add the optim name `mco... | {
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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 c... | 2024-04-24T20:16:33 | 2024-08-18T01:54:34 | 2024-08-18T01:54:33 | CONTRIBUTOR | {
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Multi-frame implementation for convergence runs. See `neva_dataset.py` for modified video dataloader and how video frames are merged into T_img dimension.
**Collection**: [Note which collection this PR will affect]
# Changelog
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Fix import from a deleted script. Add the function directly in merge.py
**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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"Hi, thanks for reporting this,\r\n\r\nCan you retry without EP and report back whether this improves the speed? In addition, I would encourage trying different TP/PP configurations to determine the optimal.\r\n\r\nThank you. ",
"> Hi, thanks for reporting this,\r\n> \r\n> Can you retry without EP and report back... | 2024-04-24T18:30:37 | 2024-07-06T01:46:52 | 2024-07-06T01:46:52 | NONE | {
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} | null | null | null | **Describe the bug**
We are in the process of fine-tuning Mixtral-8x22b using an instruction fine-tuning dataset. The model is divided using PP=8 and TP=4. Our experiments are conducted on DGX nodes, each equipped with 8 H100 GPUs. Nodes are interconnected through a 3.2 TbPS InfiniBand.
The model was tested with ... | {
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"I am facing a similar issue. Any help would be appreciated. Thank you.",
"I am afraid to say this is common with AED models, and this scenario is called hallucination. \r\n\r\nWould it be possible for you to share the audio? @pzelasko FYI",
"This issue is stale because it has been open for 30 days with no acti... | 2024-04-24T18:26:56 | 2024-07-19T01:50:04 | 2024-07-19T01:50:03 | NONE | {
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{ "audio_filepath": "/ldir/test.wav", "duration": "None", "taskname": "asr", "source_lang": "en", "target_lang": "en", "pnc": "yes", "answer": "na" }
It was just a test recording of me reading from Vol 1 of The Ar... | {
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} | # What does this PR do ?
Clarify installation instructions
**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 demonstrating how to use this
```
# Jenkins ... | {
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"Added tests and docs, undrafting"
] | 2024-04-24T15:13:57 | 2024-05-15T11:57:18 | 2024-05-15T11:57:18 | COLLABORATOR | {
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} | # What does this PR do ?
Adds async distribtued checkpoint save implementation.
The base of this PR is set to `mblaz/async-dist-ckpt-minimal-base`, since this PR requires #9016 and #9015 to be merged first and the base branch contains combined changes from those branches.
**Collection**: NLP
# Changelog
-... | {
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I want to fine tune "stt_en_fastconformer_hybrid_large_streaming_multi" model on my custom data.
I want to know some best practices that we can follow to fine tune tune cache aware streaming model.
1. I am using audio of fixed length (2s). Is this good? Can I have audios' of different lengths? Total duration of... | {
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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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} | null | null | null | when I try to run examples/nlp/language_modeling/tuning/megatron_gpt_generate.py, I got the following error:
File "/usr/local/lib/python3.10/dist-packages/nemo/core/config/hydra_runner.py", line 126, in wrapper
_run_hydra(
File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 394, in ... | {
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"It should be path to a tokenizer directory not model. \r\n\r\nthe directory should contain:\r\n* `tokenizer.model`\r\n* `tokenizer.vocab`\r\n* `vocab.txt`",
"Yes, that's what I'm doing.\r\nInfact, I've been able to edit the pretrained model's tokenizer and changed the tokens inside of it. \r\nWhat I found out is... | 2024-04-23T19:35:26 | 2024-06-15T01:47:40 | 2024-06-15T01:47:39 | NONE | {
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So I picked [nvidia/parakeet-ctc-0.6b](https://huggingface.co/nvidia/parakeet-ctc-0.6b) and I untarred the the `.nemo` file.
After that, I then loaded the model and changed the the vocab this way:
**Steps/Code to reproduce bug**
```python
model.change_vocabulary(
new_toke... | {
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"> Is it fine & really require... | 2024-04-23T17:46:01 | 2024-05-16T01:45:46 | 2024-05-16T01:45:45 | CONTRIBUTOR | {
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} | # What does this PR do ?
Fix convert_mixtral_nemo_to_hf.py
**Collection**: scripts/checkpoint_converters
# Changelog
* Fix two typos
* Allow for custom tokenizer to be passed in
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
## Who can review?
@cuichenx
Anyone in the commu... | {
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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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"I found it.\r\nthis can be done using `offset`. Supplying this key in your json manifest file allows the dataloader to know your desired start time in an audio file. \r\nExample: https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/speech_classification/datasets.html#voxlingua107\r\n\r\n"
] | 2024-04-23T13:39:26 | 2024-04-25T09:03:45 | 2024-04-25T09:03:45 | NONE | {
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Like we have a long audio file of `L` length, and which is labeled o... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/9019 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9019/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9019/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9019/events | https://github.com/NVIDIA/NeMo/pull/9019 | 2,258,812,930 | PR_kwDOC_bI7s5teQ9U | 9,019 | Update black test3 [NOT FOR MERGING] | {
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"Reformatting works as expected, closing"
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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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"Closing: tests were added in https://github.com/NVIDIA/NeMo/pull/9064"
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} | # What does this PR do ?
Restoring PTQ tests for Llama2 model. The tests are moved here from recently disabled [Jenkinsfile](https://github.com/NVIDIA/NeMo/blob/main/Jenkinsfile).
Testing all methods: FP8, INT8 SQ, INT4 AWQ and special case of NULL (just weights export step).
**Collection**: NLP
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