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Support activation recomputation for SFT.
# Changelog
- Remove disabling recomputation setting reset at SFT/train.
# Usage
N/A
# 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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# Changelog
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} | # What does this PR do ?
Revert `model.peft.lora_tuning.target_modules` back to `attention_qkv` since some community models does not support lora for all target modules.
**Collection**: [Note which collection this PR will affect]
# Changelog
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Fix pipeline parallel for Gemma. When using PP, embedding scaling only applies to the first stage since `embedding` does not exist after the first stage.
**Collection**: [Note which collection this PR will affect]
# Changelog
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The NVIDIA/NeMo#8689 initializes the `PipelineMixedPrecisionPlugin` incorrectly. The `FSDPPrecision.__init__` is not called, and in result the `self._desired_input_dtype` field is not set.
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Add support for narrowband augmentations in lhotse dataloaders and fix small bug in noise augmentation
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**Collection**: [Note which collection this PR will affect]
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**Collection**: nlp
# Changelog
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- Remove assertion errors for pinned triton versions
# Usage
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Follow up on quantization docs.
**Collection**: NLP
# 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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Update embedding method interface to match a change in 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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Enable per sample val loss reduction with validation_drop_last=False.
Fixes seeding for Packed dataset
**Collection**: [Note which collection this PR will affect]
nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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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."
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import wget
from omegaconf import OmegaConf
import json
import shutil
from faster_whisper import WhisperModel
import whisperx
import torch
from pydub import AudioSegment
from nemo.collections.asr.models.msdd_models import NeuralDiarizer
from deepmultilingualpunctuation import PunctuationModel
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Enable per sample val loss reduction with validation_drop_last=False.
Fixes setting seed for Packed dataset
**Collection**: [Note which collection this PR will affect]
nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentia... | {
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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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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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Add an option to use NCCL memory allocator for AG buffer, which helps achieve zero-copy. A similar change has been done in DistOpt in Apex to support NCCL UB for RS. More details can be also found in the [documentation](https://gitlab-master.nvidia.com/dl/pytorch/apex/-/commit/80df9fc505fe0c... | {
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when we use nemo for sft FP8 training, it will reports
` File "/usr/local/lib/python3.10/dist-packages/torch/autograd/function.py", line 289, in apply
return user_fn(self, *args)
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"I'm having the same problem for mistral 7B PEFT when running this command:\r\n`\r\npython3 /opt/NeMo/scripts/checkpoint_converters/convert_mistral_7b_hf_to_nemo.py --input_name_or_path=/workspace/mistral-7B-hf --output_path=mistral.nemo\r\n`\r\n\r\nThis is the error:\r\n`\r\n[NeMo I 2024-04-02 17:52:08 convert_mi... | 2024-04-02T09:57:31 | 2024-05-11T01:45:03 | 2024-05-11T01:45:02 | NONE | {
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https://docs.nvidia.com/nemo-framework/user-guide/latest/playbooks/llama2peft.html
However, I am facing some issues when I convert the huggingface model to .nemo format.
So is there any repository of ready-t... | {
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When I tried to load it to train a reward model, I got missing keys error. I load it from the default config, set `load_base_model_only=True`, the total l... | {
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"Right it's better to untar such large models with tar -xvf xyz.n... | 2024-04-02T00:38:03 | 2024-11-07T07:33:54 | 2024-05-13T01:46:22 | NONE | {
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https://docs.nvidia.com/nemo-framework/user-guide/latest/playbooks/llama2sft.html
docker image: nvcr.io/nvidia/nemo:24.01.01.framework
converted llama2-70B hf model to Nemo using above doc, which is 129GB in size. I have disk space of 1.2T. while running on 2xH100 with 16Gpus total, I gettin... | {
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**Collection**: NLP
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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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"Can you show steps on how you installed NeMo. Chances are you probably installed one NeMo version but using different version code.",
"NeMo version: '1.23.0rc0' \r\nI followed the instructions as under Conda :\r\n\r\n\r\n# clone the repo and install in development mode\r\ngit clone https://github.com/NVIDIA/NeMo... | 2024-04-01T17:11:54 | 2024-05-15T01:47:33 | 2024-05-15T01:47:32 | NONE | {
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NeMo version: '1.23.0rc0'
Running on MAC OS <Sonoma 14.3.1> , Conda environment
import nemo.collections.asr as nemo_asr gives the following error:
---> 31 class ASRDatasetConfig(nemo.core.classes.dataset.DatasetConfig):
32 manifest_filepath: Optional[Any] = None
33 ... | {
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} | null | null | null | **Describe the bug**
1. `GPTDatasetConfig` got unexpected keyword `mmap_bin_files` (can be solved if I install main of Megatron LM instead of megatron-core-r0.5)
2. `GPTDatasetConfig` got unexpected keyword `is_build_on_rank`
3. merge file and vocab file seem to be useless, since `AutoTokenizer` downloads `gpt2` r... | {
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"Yes it's quite easily doable. What you can do is build a sentence piece \"char\" tokenizer instead of \"bpe\" or \"unigram\" - the char spe tokenizer provides a character encoding but with similar API to subword one so model can continue working with just change_vocabulary(). \r\n\r\nThe only think to watch out fo... | 2024-04-01T11:07:35 | 2024-04-10T03:21:11 | 2024-04-10T03:21:11 | NONE | {
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} | null | null | null | Hi. First of all, thank you for your great work!
I 've followed the ASR language finetuning tutorial. In this tutorial, you finetuned character-based model and sub-word based model from English to corresponding model type in Japanese. I have a question, can I finetune from a sub-word base model in English to a charact... | {
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} | # What does this PR do ?
- Applies suggested change in https://github.com/NVIDIA/NeMo/issues/3421 to fix pickle error when running speaker diarisation
**Collection**: [common]
# Changelog
- Use defined SpeechLabelEntity class instead of `collections.namedtuple`
# Jenkins CI
To run Jenkins, a NeMo User with... | {
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"In some tutorials I've used grad accumulation 8 without modifying any LR etc and the model is able to trim and converge fine. You need a decently large global batch size, otherwise model will not begin to train unless you start with a pretrained encoder ",
"yes, I used batch size of 256 with 8 accumulation steps... | 2024-04-01T02:36:40 | 2024-05-08T18:14:09 | 2024-05-08T18:14:09 | NONE | {
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} | null | null | null | Hi, I see that the fastconformer model is trained with mean_volume loss reduction (both for ctc and transducer loss). However, when using gradient accumulation (such as 8), the mean_volume loss is aggregated for each single batch rather for all of the 8 batches. I haven't successfully trained fastconformer transducer s... | {
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} | null | null | null | **Description**:
While training with the default configuration in the NVIDIA NeMo Framework, I encountered the following warning message:
```
[NeMo W 2024-03-31 19:25:05 tacotron2:338 rank:2] Reached max decoder steps 1000.
```
This warning suggests that the decoder reached the maximum number of steps (1000) d... | {
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"Please feel free to put a PR with this added lr. \r\nYou can add it directly from pt scheduler similar to other schedulers as shown here: https://github.com/NVIDIA/NeMo/blob/6ca22351ea7dd231dfb94284d141de938cdb2822/nemo/core/optim/lr_scheduler.py#L963 ",
"This issue is stale because it has been open for 30 days ... | 2024-03-31T16:20:39 | 2024-05-12T01:48:00 | 2024-05-12T01:47:59 | NONE | {
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} | null | null | null | The NVIDIA NeMo Framework, a powerful generative AI framework, currently lacks support for the MultiStepLR learning rate scheduler, which is available in PyTorch’s torch.optim.lr_scheduler module. This scheduler is commonly used for adjusting learning rates at specific milestones during training.
Expected Behavior: ... | {
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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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"Values mentioned at that link are the default values and the functionality is enabled by default.\r\nIn case you want to change the values, you can follow the document, regenerate the RMIR and redeploy the RMIR.\r\n\r\nThere is also a shortcut method if you want to quickly modify the values and experiment. Assumin... | 2024-03-30T02:45:24 | 2024-05-23T13:13:05 | 2024-05-12T01:48:00 | NONE | {
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I am currently integrating ASR, LLM, and TTS technologies, with a specific interest in detecting the completion of sentences for more realistic interactions. I believe an effective approach to this could be the detection of speech disfluencies, such as detecting an "umm", which could then delay the response s... | {
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"I saw someone had the same issue with ecapa tdnn model way back and it has not been solved",
"It might not be possible to convert MSDD straightaway to onnx, as it depends on other models. \r\n@tango4j can you pls provide steps to achieve this. ",
"Thank you for responding, it would be very helpful for me if t... | 2024-03-30T00:21:06 | 2024-05-12T01:48:02 | 2024-05-12T01:48:02 | NONE | {
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I am trying to export the diarization MSDD telephonic model to onnx format but i get the following error:
File "/home/chidalgo/.local/lib/python3.10/site-packages/nemo/core/classes/exportable.py", line 113, in export
out, descr, out_example = model._export(
File "/home/chidalgo/.local... | {
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Fix `ModuleNotFoundError: No module named 'megatron.core.deploy'` error due to [a recent refractor of Megatron-LM](https://github.com/NVIDIA/Megatron-LM/commit/38644dd756c46142787b1bd5dc08ed82ca0e6de1).
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read an... | {
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- Use of common (shared) storage between runners
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"There's no changes in this PR, can we close it?",
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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
# Add a cod... | {
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"I try restory form local print error info :\r\nValueError: `cfg` must have `tokenizer` config to create a tokenizer !\r\n",
"@weiqingw4ng will submit a PR to fix this. Thank you Weiqing ",
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I try offline_diar_with_asr_infer wish zh asr model
!python ./clustering_diarizer/offline_diar_with_asr_infer.py \
diarizer.manifest_filepath="/home/zhibo/Eval_Ali/Eval_Ali_far/audio_dir/temp_manifest_input.json" \
diarizer.out_dir='demo_asr_output' \
diarizer.speaker_embedding... | {
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"I'm having this same issue!",
"The environment you are deploying the NeMo diarization seems like CUDA is not enabled.\r\nIf your CUDA setting is not properly set, it will run it on CPU then it will get very slow.\r\nCheck `torch.cuda.is_available()` is True in your container environment on the instance you are u... | 2024-03-28T04:18:35 | 2024-05-08T18:14:35 | 2024-05-08T18:14:35 | NONE | {
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} | null | null | null | Hi, im having the same problem as above,
I tried to create the model with:
```
model = NeuralDiarizer.from_pretrained('diar_msdd_telephonic', map_location='cuda')
```
```
model = NeuralDiarizer.from_pretrained('diar_msdd_telephonic', map_location='cuda:0')
```
```
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"This PR was closed because it has been inactive for 7 days since being marked as stale."
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} | # What does this PR do ?
Added Nvidia Learning to the readme file just before publications
**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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As per title.
**Collection**: Docs
# 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 CI
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"jenkins",
"closing in favor of https://github.com/NVIDIA/NeMo/pull/8805"
] | 2024-03-27T20:48:23 | 2024-04-04T09:41:36 | 2024-04-04T09:41:35 | COLLABORATOR | {
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} | # What does this PR do ?
Support for the latest PyTorch version, which upgraded to triton 3.0.0.
**Collection**: requirements
# Changelog
- Update requirements,
- Update guards accordingly,
- Update outdated API used by the guards.
# Usage
* You can potentially add a usage example below
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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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"The converter `convert_llama_hf_to_nemo.py` should produce a `.nemo` file, not a dir. Can you try using NeMo docker image? https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo",
"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 ... | 2024-03-27T08:28:58 | 2024-05-10T01:46:27 | 2024-05-10T01:46:27 | NONE | {
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<img width="1284" alt="image" src="https://github.com/NVIDIA/NeMo/assets/157778011/cb83ef47-eb43-4c08-8093-c169c628d8f7">
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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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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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https://api.github.com/repos/NVIDIA/NeMo/issues/8750 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8750/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8750/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8750/events | https://github.com/NVIDIA/NeMo/issues/8750 | 2,208,176,675 | I_kwDOC_bI7s6Dnhoj | 8,750 | alignment using ctc_segmentation fails with Hybrid RNNT-CTC models | {
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"@erastorgueva-nv can you look at this issue pls. ",
"Hi @Jesteinbe, thanks for bringing this to our attention. You are correct, unfortunately NeMo CTC Segmentation does not currently support Hybrid models. \r\n\r\nYour fix of \"`mdl.cfg.aux_ctc.decoder.vocabulary`\" is a reasonable partial fix for this. The rema... | 2024-03-26T12:58:34 | 2024-05-08T18:22:00 | 2024-05-08T18:22:00 | NONE | {
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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."
] | 2024-03-26T12:19:48 | 2024-05-03T01:45:46 | 2024-05-03T01:45:45 | NONE | {
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} | null | null | null | **Describe the bug**
I tried to run the `basic_usage.py` file under `/examples/quantization` and reported an error.
**Steps/Code to reproduce bug**
`python basic_usage.py`
```shell
# error report info
return self.fget.__get__(instance, owner)()
2024-03-26 12:05:10 INFO [auto_gptq.modeling._base] Start quan... | {
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] | 2024-03-26T11:59:37 | 2024-05-03T01:45:47 | 2024-05-03T01:45:46 | NONE | {
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} | null | null | null | Hello!
Has anyone already used technology "[NeMo Forced Aligner](https://nvidia.github.io/NeMo/blogs/2023/2023-08-forced-alignment/), [Text Normalization](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/nlp/text_normalization/wfst/wfst_text_normalization.html) and Seq2Seq" in one project?
Which dire... | {
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"I'm closing this as there are CI issues here and **int4_awq** case will be tested elsewhere"
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} | # What does this PR do ?
Add **int4_awq** quantization test in Jenkinsfile.
**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**:
- [ ] Make sure you read and followed [Contributor guideli... | {
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first covert mixtral-8x7B-hf to test2.nemo:
python3 ./scripts/checkpoint_converters/convert_mixtral_hf_to_nemo.py --input_name_or_path mixtral-8x7B-hf --output_path test2.nemo
then
python ./examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py \
trainer.precision=bf16 \
t... | {
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"> Which version of NeMo is installed? If you're using NeMo 1.23, you need to change branch to r1.23.0 before selecting and using the script\r\n\r\nI try install pip3 inst... | 2024-03-26T01:03:15 | 2024-05-03T01:45:50 | 2024-05-03T01:45:49 | NONE | {
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when I run speech_to_text_with_vad.py with some parameters below
!python /Users/whs/PycharmProjects/NeMo/examples/asr/asr_vad/speech_to_text_with_vad.py \
manifest_filepath=/Users/whs/PycharmProjects/ava-speech-downloader/temp_manifest_input.json \
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"This PR is stale because it has been open for 14 days with no activity. Remove stal... | 2024-03-25T21:00:34 | 2024-04-16T01:44:24 | 2024-04-16T01:44:24 | COLLABORATOR | {
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} | # What does this PR do ?
This fixes a bug in #7518 where `max_steps` wasn't computed properly when resuming an experiment in the middle of an epoch (my fault -- I hadn't realized the training dataloader had a smaller length on resume).
I have tested it locally to confirm both the bug and the fix.
I don't reall... | {
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"@titu1994 Thanks for your review and all of the suggestions. Tried to address all of your comments. I agree with most of them and updated the code based on your suggestion. Some of them, I left comment. Can you please do another review? Would love to merge this asap because there are many tasks depend on this PR.\... | 2024-03-25T18:56:58 | 2024-04-06T06:29:50 | 2024-04-06T06:29:50 | COLLABORATOR | {
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} | # What does this PR do ?
Open sourcing the export and deploy module that exports a nemo checkpoint to TensorRT-LLM and serves it using PyTriton.
**Collection**: [None]
# Changelog
- Added export and deploy folders under the main folder.
# Usage
* You can potentially add a usage example below
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"@titu1994 @nithinraok could you please take another look to see if your comments have been addressed? Thanks~",
"Steve, can you look at CodeQL comments. ",
"@titu1994 @zhehuaichen I've refactored the dataset such that the input and output keys can be configured dynamically by setting `context_key` and `answe... | 2024-03-25T15:59:45 | 2024-05-11T02:24:12 | 2024-05-11T02:24:11 | COLLABORATOR | {
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} | # What does this PR do ?
Add SpeechLLM training/inference scripts to NeMo, along with dataset, model, examples and test.
### Main features
- Model class for SALM-style architecture, which supports SFT&PEFT.
- Some auxiliary modules to support multi-layer feature extraction, and multiple audio encoders.
- Data... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8740 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8740/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8740/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8740/events | https://github.com/NVIDIA/NeMo/issues/8740 | 2,206,069,177 | I_kwDOC_bI7s6DffG5 | 8,740 | assertion error on calling model_eval.load_adapters() in lora tutorial | {
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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.",
"Were you able to fix this?",
"Thank you for checking in. unfortunately, I... | 2024-03-25T15:42:53 | 2024-05-15T09:45:52 | 2024-05-03T01:45:50 | NONE | {
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assertion error on calling model_eval.load_adapters() in lora tutorial
**Steps/Code to reproduce bug**
I'm basically just running every cells in [lora tutorial](https://github.com/NVIDIA/NeMo/blob/11b7a733cbd4b8311eacba581323f88c7cd4bac4/tutorials/nlp/lora.ipynb)
and got this error on the... | {
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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.",
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} | # What does this PR do ?
Converts the limit_train_batches in terms of num of micro batches.
**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
# Ad... | {
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"TDTs are a recent model, and not all models support all features (due to architecture or training loss). We will look into it, but for now confidence metrics are computable only on rnnt and ctc models. ",
"Thank you! The TDT model is very impressive, and would love to switch to it, but our application requires c... | 2024-03-23T18:50:03 | 2024-05-14T16:51:05 | 2024-05-08T18:16:20 | NONE | {
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} | null | null | null | When following the NeMo tutorial for ASR Confidence (https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/ASR_Confidence_Estimation.ipynb)
I am able to obtain confidence scores from both "parakeet-rnnt-1.1b" as well as "parakeet-ctc-0.6b". However I am unable to get the same results when using "parakeet-tdt-1.1b" ... | {
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"I figured how to load the parameters, though with the hack.\r\n\r\n1. I obtained model's config by doing this:\r\n```\r\nckpt_name = \"stt_ua_fastconformer_hybrid_large_pc\"\r\ncfg = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.from_pretrained(model_name=ckpt_name, return_config=True)\r\nomegaconf.OmegaConf.save(cf... | 2024-03-23T18:24:06 | 2024-06-01T01:49:22 | 2024-06-01T01:49:21 | NONE | {
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```
In [4]: from nemo.collections.asr.models import EncDecHybridRNNTCTCBPEModel
In [5]: model = EncDecHybridRNNTCTCBPEModel.from_pretrained("stt_ua_fastconformer_hybrid_large_pc")
```
model can't be restored because... | {
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"Hi for these proposes I wrote a tiny script for my ASR models, that accepts `.ckpt` model and saves it as `.nemo` model\r\n\r\nI think something similar should work for NLP models too.\r\n\r\n```\r\nimport sys\r\nfrom pathlib import Path\r\n\r\nimport nemo.collections.asr as nemo_asr\r\n\r\n\r\ndef get_nemo_ckpt_p... | 2024-03-23T08:37:49 | 2024-03-28T11:09:59 | 2024-03-28T11:09:59 | NONE | {
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I'm using the code [colab](https://github.com/NVIDIA/NeMo/blob/stable/tutorials/nlp/Token_Classification-BioMegatron.ipynb) to train my own model. The performance looks promising in the first epoch. However, I'm struggling to figure out how to convert the checkpoint to the NeMo format.
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[N... | {
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Add sdxl support
**Collection**: NeMo multimodal
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] 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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* fixing AED transcribe failure case when input is manifest
* Fixing pos encoding ids bug during inference.
**Collection**: [ASR]
# Jenkins CI
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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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} | # What does this PR do ?
Documentation for model quantization using AMMO.
**Collection**: NLP
# 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 necessar... | {
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"Thanks @yunbin, we'll take a look at adding this functionality over the next couple weeks. We'll post future updates here.",
"@anteju Any update on getting the channel feature implemented in NeMo training scripts?",
"@yunbin, please check #9007.\r\nThe change there enables using channel selector from manifest... | 2024-03-22T16:56:44 | 2024-05-08T18:18:14 | 2024-05-08T18:18:13 | NONE | {
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NeMo training and decoding scripts do not support multi-channel audio data.
**Steps/Code to reproduce bug**
It does not support specifying which channel to use for each audio file in each line in train.manifest.json or test.manifest.json file.
I was able to run ./examples/asr/speec... | {
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The PR adds functionality to defer the embedding table wgrad GEMM, so that it happens during pipeline flush. This is only done on the last pipeline stage.
The embedding wgrad compute is drained by a function in megatron.core.utils which NeMo will import and use. | {
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"If you are interested, I opened a PR yesterday (https://github.com/NVIDIA/NeMo/pull/8723) which contains a tutorial notebook you could download and try https://github.com/NVIDIA/NeMo/blob/79ffef97d2993b716406227f00fc234c19541610/tutorials/tts/Audio_Codec_Training.ipynb. Change the branch from 'main' to 'codec_tuto... | 2024-03-22T08:19:24 | 2024-06-25T06:14:22 | 2024-03-29T04:08:43 | NONE | {
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For example, in the case of Speech-to-Text (STT), the training dataset (train_ds... | {
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Setup CP Groups in GPTSFT model
**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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Add tutorial about training audio codecs.
**Collection**: [TTS]
# Changelog
- Add tutorial showing how to train or fine-tune audio codec models.
- Add config file for 22.05khz mel codec for documentation and easy fine-tuning.
- Make logging config in different config files consiste... | {
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Fix an CLIP training issue found in nightly MM CI
**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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Fix the transcribe signature for hybrid ctc rnnt model
**Collection**: [ASR]
# Changelog
- Fix the transcribe signature for Hybrid CTC RNNT model
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# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github... | {
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Add a one line overview of what this PR aims to accomplish.
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Changes required to run FP8 debug in TransformerEngine.
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Fix the nsys profiling start and end step comparison condition to support different initial micro-batch start points.
# Changelog
- Change the `current_step == target_step` to `current_step >= target_step`
# Usage
N/A
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- Mistral/Mixtral PEFT support
- Update converter path
- Add packed sequence docs
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
bug fix for base models that use position encoding.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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The NeMo [tutorials ](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/starthere/tutorials.html) on Google Colab do not run due to a dependency issue with Megatron-Core. Currently, NeMo is pinned to Megatron-Core 0.5.0, but references the `IndexedDataset` class. In 0.5.0 this ... | {
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} | # What does this PR do ?
Fix the wrong expert model parallel rank when tensor_model_parallel_size >1.
**Collection**: [Note which collection this PR will affect]
# Changelog
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minor fix...
**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 ?
fixes precision attribute during conversion
**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 code snippet demonst... | {
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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.",
"OK, I won't notify you again about this release, but will get in touch ... | 2024-03-20T15:32:05 | 2024-04-11T01:44:41 | 2024-04-11T01:44:33 | CONTRIBUTOR | {
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} | Bumps [black](https://github.com/psf/black) from 19.10b0 to 24.3.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/psf/black/releases">black's releases</a>.</em></p>
<blockquote>
<h2>24.3.0</h2>
<h3>Highlights</h3>
<p>This release is a milestone: it fixes Black's first CVE se... | {
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"Up!\r\nI wish to try it as well to check if reported results are as good as they say.\r\nCan we already find it and if no, when will it be available?",
"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.",
"Still waiting fo... | 2024-03-20T15:25:31 | 2024-07-17T09:44:40 | 2024-07-17T01:50:49 | NONE | {
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} | null | null | null | The article ["Conformer-based Target-Speaker Automatic Speech Recognition for Single-Channel Audio"](https://arxiv.org/pdf/2308.05218v1.pdf) states that the model CONF-TSASR will be open-sourced through NVIDIA NeMo toolkit. Is it already open-sourced? Will pretrained weights be available? If yes, where can I found it? | {
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"@Slyne (myself) to check this issue.\r\n\r\n@nirraviv89 Meanwhile could you help try tensorrt 10.0:\r\nhttps://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.0.0/tensorrt-10.0.0.6.linux.x86_64-gnu.cuda-12.4.tar.gz\r\n\r\nThe installation guide:\r\nhttps://docs.nvidia.com/deeplearning/tensorrt... | 2024-03-20T08:53:01 | 2024-05-18T01:45:24 | 2024-05-18T01:45:24 | NONE | {
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} | null | null | null | Hi,
I'm trying to export conformer CTC to tensorRT by using this script: `examples/asr/quantization/speech_to_text_quant_infer_trt.py`
OS: Linux 20.04
PyTorch 1.13.1
CUDA: 11.7
tensorrt: 8.6.1
I modified the min and max input shapes to fit the model num_features and added another input (because otherwise it f... | {
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"Please install NeMo with pip install nemo_toolkit[all] ",
"> Please install NeMo with pip install nemo_toolkit[all]\r\n\r\nThank you ,I solved it. It's an environmental problem."
] | 2024-03-20T08:45:12 | 2024-03-22T01:10:10 | 2024-03-22T01:10:10 | NONE | {
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I run Speaker_Diarization_Inference.ipynb on my mac book pro(M2)
**Steps/Code to reproduce bug**
Please list *minimal* steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/m... | {
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All checkpoints statedicts will be switched to safetensors following security recommendations against use of pkl (torch internally uses pickle format).
Additionaly, fix the model filter logic for HF based API search.
**Collection**: [Core]
# Changelog
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"url": "https://api.github.com/users/erastorgueva-nv",
"html_url": "https://github.com/erastorgueva-nv",
"followers_url": "https://api... | [] | closed | false | null | [] | null | [] | 2024-03-20T00:22:42 | 2024-03-20T01:11:30 | 2024-03-20T01:11:29 | COLLABORATOR | {
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"url": "https://api.github.com/repos/NVIDIA/NeMo/pulls/8704",
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} | # What does this PR do ?
Add NeMo FW diagrams to the github io website and add mention of NVIDIA NIM.
**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
```py... | {
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"gravatar_id": "",
"url": "https://api.github.com/users/titu1994",
"html_url": "https://github.com/titu1994",
"followers_url": "https://api.github.com/users/titu1... | {
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