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When running diarization on a specific file I'm getting:
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The same pipeline/config/setup etc has worked for a couple of thousand other files but now on this (and a few more files) I... | {
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Slight refactor of save best model, which may resolve or alleviate #7938 and #7756.
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- sets previous_best_path in init, to have it correct on resume training
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Encountering this error when running the speaker diarization training tutorial notebook on my own data:
Input shape mismatch occured for features in module EncDecDiarLabelModel :
Input shape expected = (batch, time) |
Input shape found : torch.Size([2, 208000, 2])
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} | # What does this PR do ?
Fixes mistral & mixtral conversion scripts(renamed variable `num_experts` to `num_moe_experts` in mixtral converter).
**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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Fix r1.23.0 issues for multimodal collection
**Collection**: [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 neces... | {
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Fixes some bugs related to training after canary-2 refactor
Adds a launch script for AED multitask models in `examples/asr/speech_multitask` folder
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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blogpost for Parakeet-TDT model
**Collection**: [Note which collection this PR will affect]
# Changelog
blogpost for Parakeet-TDT model
# Usage
N/A
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
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**Collection**: [Note which collection this PR will affect]
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# Usage
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} | # What does this PR do ?
Update models names in supported models
Remove old prompt learning doc and notebook
# 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... | {
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- Remove FalconTransformerLayer's sharded_state_dict() to use the mcore 0.5's TransformerLayer's sharded_state_dict() because it supports sharded_dict according to submodules now.
- add packed_seq_params (introduced in mcore 0.5) args for layer forward.
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> Update version to 0.2.86
> Pipe functionality removed and has been replaced with DataPipeline.
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missing get_openslr_rir_data.py file in RIR section.
**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.
# Usage
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"To confirm, you're using a fine-tuning script from NeMo right ? The one inside examples ?\r\n\r\n@VahidooX is there something up with the checkpoint ? The config seems ok. ",
"Plus that's not exactly the write command for extract - the key is one of the modules inside of the actual model not the model name. But ... | 2024-01-26T19:32:44 | 2024-03-21T01:44:20 | 2024-03-21T01:44:18 | NONE | {
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Add a one line overview of what this PR aims to accomplish.
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Problem with convert HifiGan nemo model to riva format
```
[NeMo I 2024-01-25 10:49:12 save_restore_connector:249] Model HifiGanModel was successfully restored from /home/PycharmProjects/tts_train_pipeline/models/HifiGan_v2.nemo.
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Adds video support for SFT dataset class in NeVA
**Collection**: Multimodal
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step in line with the original lora and added alpha.
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | This PR restores `transformer_bpe_models.py` and `audio_to_text_lhotse.py` to their previous shape and separates out two classes: `EncDecMultiTaskModel` and `PromptedAudioToTextLhotseDataset` that contain the modified code for Canary, generalized to support other model instances of this type.
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Add a one line overview of what this PR aims to accomplish.
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# Usage
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Add a one line overview of what this PR aims to accomplish.
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# Usage
* You can potentially add a usage example below
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"For some reasons, I need to stick to python3.8.\r\nPrevious Nemo version installed and worked ok (I do not use an... | 2024-01-25T18:29:38 | 2024-02-27T18:39:20 | 2024-02-27T18:39:20 | CONTRIBUTOR | {
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No such file or directory: 'megatron/core/requirements.txt' when installing nemo 1.22
**Steps/Code to reproduce bug**
```
File "/tmp/pip-build-env-93j56cnr/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 311, in run_setup
exec(code, locals())
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} | # What does this PR do ?
Implementing RETRO's mcore model, dataloader's wrapper, training script.
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.
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Add a one line overview of what this PR aims to accomplish.
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# Changelog
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# Usage
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} | # Preserve one Flashlight beamsearch with Ngram LM
Support Flashlight and Pyctcdecode decoding with pure KenLM and NeMo KenLM
Standardize API of CLI inference scripts
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} | # What does this PR do ?
Alters GPTSFTDataset and GPTSFTPackedDataset to pad to 8*TP when sequence parallel is enabled.
**Collection**: nlp/language_modeling
# Changelog
- Adds an argument to GPTSFTDataset and GPTSFTPackedDataset which allows setting what value sequence lengths will be padded to a multiple o... | {
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Allows the MegatronPretrainingRandomSampler class to correctly handle multi-epoch training by calculating length correctly when consumed_samples > total_samples
**Collection**: NLP
# Changelog
- nemo/collections/nlp/data/language_modeling/megatron/data_samplers.py: modified MegatronP... | {
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Add code and example for how to train audio codec while encoding mel spectrogram.
Note there is an extra "FullBandMelEncoder" definition which is not in the example config, but which I am adding to try to and keep inference working with some existing checkpoints.
**Collection**: [TTS]
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While using `TransformerLMModel.restore_from(<.nemo file>)`, the tokenizer is loaded from the local tokenizers file instead of the tokenizer found in the `.nemo` model file.
As shown in the snippet below from [nemo/collection... | {
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"@tttalshaul can you share more info on length of audio and size of embeddings in pkl file you saved? ",
"Audio length is 3:43 hours after cutting silence (using VAD). \r\nembeddings:\r\nscale0 6.6M len 8920\r\nscale1 7.9M len 10704\r\nscale2 9.9M len 13385\r\nscale3 14M len 17846\r\nscale4 20M len 26772\r\nscale... | 2024-01-24T15:46:50 | 2024-09-21T01:55:56 | 2024-09-21T01:55:55 | NONE | {
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After completing speaker embeddings, tqdm shows "clustering: 0%" and then my script is getting killed by OS with error 137 OOM (out of memory) because of RAM consumption greater then 40G..
Installed nemo using pip ... | {
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} | # What does this PR do ?
Adds FSDP support for NeMo fine-tuning.
**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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] | 2024-01-24T04:31:33 | 2024-03-02T01:43:19 | 2024-03-02T01:43:18 | MEMBER | {
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"closed in favor of #8622 "
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} | # What does this PR do ?
train a Lora model to perform sentence embedding tasks which can be used for IR.
**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 demonst... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8230 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8230/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8230/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8230/events | https://github.com/NVIDIA/NeMo/pull/8230 | 2,096,623,325 | PR_kwDOC_bI7s5k3ZDt | 8,230 | Syncing random seed between ranks in generate | {
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} | # What does this PR do ?
While random_seed was added to generate, it was missing from the sync between ranks and so was not possible to use with MegatronServer. This PR fixes that.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes i... | {
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Fix preprocess data for megatron: loading files from a directory.
**Collection**: nlp
# Changelog
- Open a JSON file from the specified directory.
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
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] | 2024-01-23T16:16:08 | 2024-03-14T01:44:10 | 2024-03-14T01:44:09 | CONTRIBUTOR | {
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For the last couple of days I have tried to download the VAD frame-multilingual marblenet model and I receive an error:
```
wget --content-disposition https://api.ngc.nvidia.com/v2/models/nvidia/nemo/vad_multilingual_frame_marblenet/versions/1.20.0/zip -O vad_multilingual_frame_marblenet_1.20.0.zip
--2024-... | {
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} | # What does this PR do ?
Add --force_codec to tarred dataset creation examples
**Collection**: All speech collections
# Changelog
- [docs] Add --force_codec to tarred dataset creation examples
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
Use previous RNN-T decoding algorithm as default (`loop_labels=False`)
**Collection**: [ASR]
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"Streaming ASR at the moment does not support ngram",
"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."
] | 2024-01-23T15:44:48 | 2024-03-01T01:45:20 | 2024-03-01T01:45:19 | CONTRIBUTOR | {
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I would like to use a cache-aware streaming model with CTC decoder + n-gram. Is this feature supported or could you give me some ideas on how I could implement this?
Thank you in advance! Any help is greatly appreaciated!
Best regards,
Gabi | {
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Pre-compute max_seqlen and cu_seqlens_argmin in all model-parallel cases.
# 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 code snippet demonstrating how to use this
```
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} | # What does this PR do ?
When training GPT, the Apex distributed Adam optimizer overlaps its first parameter all-gather with the optimizer step. This optimization has been applied to both FP8 and non-FP8 models.
**Collection**: NLP
# Changelog
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} | # What does this PR do ?
Refactors `preprocess_multimodal` to support video tokens in LLM conversation data
**Collection**: Multimodal - NeVA
# Changelog
- Adds `videoneva_dataset.py` and `conversation.py` to `/nemo/collections/multimodal/data/`
- `videoneva_dataset.py` implements `TarOrFolderVisualLoader` ... | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
Post-LN is not supported in MCore transformer at the moment (everything is Pre-LN). In order to convert HF checkpoints, we want to add post-LN style to MCore as well. Post-LN requires an additional LN in the beginning of the network as well.
**Des... | {
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Adds NeVA tutorial for training / inference
**Collection**: Multimodal
# Changelog
- New Jupyter notebook under `NeMo/tutorials/multimodal` outlining steps for pretraining and instruction fine-tuning NeVA
# Usage
* Documentation purposes
# Jenkins CI
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Corrects the check added in [PR-7964](https://github.com/NVIDIA/NeMo/pull/7964) to raise a ValueError when attempting to run virtual pipeline parallel with peft.
**Collection**: nlp/language_modeling
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"Should be reviewed/merged after #8286",
"@hainan-xv Do we have any small model for tests? I have no idea how to write tests for the decoding without the model",
"jenkins",
"jenkins",
"jenkins",
"jenkins"
] | 2024-01-22T18:31:41 | 2024-02-16T08:33:06 | 2024-02-16T08:33:05 | COLLABORATOR | {
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} | # What does this PR do ?
TDT greedy decoding using`loop_labels` algorithm introduced in #7926.
**Collection**: [ASR]
# 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 ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8214 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8214/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8214/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8214/events | https://github.com/NVIDIA/NeMo/issues/8214 | 2,093,739,505 | I_kwDOC_bI7s58y-3x | 8,214 | Unable to train ASR model on multiple GPUs | {
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python3 -m torch.distributed.launch --nproc_per_node=2 --nnode=1 examples/asr/asr_ctc/speech_to_text_ctc.py --config-path=examples/asr/conf/quartznet/ --config-name=quartznet_15x5
torch vision：2.0.1+cu118
GPU：A100
then, the error would occ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8213 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8213/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8213/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8213/events | https://github.com/NVIDIA/NeMo/issues/8213 | 2,093,559,003 | I_kwDOC_bI7s58ySzb | 8,213 | can you provide msdd_5scl_15_05_50Povl_infer.yaml?Inference for training models | {
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"This issue was closed because it has been inactive for 7 days since being marked as stale."
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
Provide a code snippet on how new APIs/changes would ... | {
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} | # What does this PR do ?
Adds support to temporarily / permanently (and globally) disable semantic type checks.
**Collection**: [Core]
# Changelog
- Adds utility methods to disable global semantic type checking, or local context manager.
- Adds test to see if semantic types are properly ignored (but still i... | {
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"Hi @titu1994 what would be the next process to get this merged to the main trunk ?",
"Could you avoid merging the main branch with this PR, I need to see the tests pass. It is fine if the branch is out of date with the main branch. ",
"jenkins",
"> jenkins\n\nI guess the automation is completed ... | 2024-01-21T05:50:35 | 2024-01-23T08:52:46 | 2024-01-23T08:52:46 | CONTRIBUTOR | {
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} | # What does this PR do ?
Adds Neptune logging support to NeMo which is already exposed by the PTL trainer.
**Collection**: Core, NLP
# Changelog
- In experiment manager, consumed NeptuneLogger parameters from the OmegaConf
- Added tests for NeptuneLogger
- Added documentation for NeptuneLogger configuratio... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8209 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8209/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8209/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8209/events | https://github.com/NVIDIA/NeMo/issues/8209 | 2,092,206,308 | I_kwDOC_bI7s58tIjk | 8,209 | [Question] Issue of Invalid output device when using pyaudio in VAD inference | {
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"@okuchaiev ",
"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."
] | 2024-01-20T19:04:48 | 2024-03-04T01:46:46 | 2024-03-04T01:46:45 | NONE | {
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Hi,
I have implemented a code for using the Marble_Net VAD model according to the below tutorial:
[Online_Offline_Microphone_VAD_Demo](https://github.com/NVIDIA/NeMo/blob/stable/tutorials/asr/Online_Offline_Microphone_VAD_Demo.ipynb)
But I got the following error (I have tested it on Colab and two other ... | {
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"Hi, thanks for the additional support for Neptune. Due to the ever growing dependency list for NeMo, we will make Neptune an optional dependency only. Please follow the suggestions above ",
"Oh also, could you follow DCOBot comments to sign your commits since that is a NeMo contribution requirement. ",
"> Oh a... | 2024-01-20T13:42:01 | 2024-01-21T05:52:02 | 2024-01-21T05:52:02 | CONTRIBUTOR | {
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} | # What does this PR do ?
Adds Neptune logging support to NeMo which is already exposed by the PTL trainer.
**Collection**: [Note which collection this PR will affect]
Affects the core/experiment manager collection
# Changelog
- In experiment manager, consumed NeptuneLogger parameters from the OmegaConf
- A... | {
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"@hainan-xv Thanks for the PR; I think it makes it more convenient to use decoding with TDT models. One minor comment about style.",
"jenkins"
] | 2024-01-20T01:45:16 | 2024-01-24T22:54:17 | 2024-01-24T22:53:54 | COLLABORATOR | {
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} | # What does this PR do ?
Making it so that TDT inference doesn't require --duration params to be passed.
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
The model now infers the duration params from model's loss configs.
# Usage
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This PR makes ASR TDT model inference easier by not having to specify the duration parameters.
**Collection**: [Note which collection this PR will affect]
# Changelog
During inference, duration params are going to be inferred from the params from the 'loss' config of the model
# ... | {
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Change input to MCoreGPTModel if using packed sequence
**Collection**: NLP
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Speed up rebuilding NeMo images with NeMo code changes. Previously k2 would have to be rebuilt each time NeMo code changed because k2 building occurs in a later image layer. Proposed changes make it very fast to rebuild when changing NeMo python code, saving storage by not multiplying k2 bui... | {
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Adds torch.jit.script support for "loop labels" decoding algorithm, introduced in #7926
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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Add the SHARP argument interface to FSDP strategy.
SHARP here applies to the data-parallel process group.
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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Rename certain unified SFT/PEFT scripts to remove reference to 'PEFT' in the script name, since it was confusing for people to run SFT with a 'peft' script
Rename `*_peft_tuning*` to `*_finetuning*` to include both SFT and PEFT in naming.
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**Collection**: [Note which collection this PR will affect]
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# Usage
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"jenkins"
] | 2024-01-18T18:37:18 | 2024-01-19T19:45:18 | 2024-01-19T19:45:17 | COLLABORATOR | {
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} | # What does this PR do ?
Fix 1) merging on CPU, in cases where a GPU is not available, and 2) merging a LoRA model trained with TP>1 into a base model in the distributed checkpointing format.
Tested on Llama2-7b + TP {1, 2, 4} LoRA ckpt, with cpu and gpu options
# Usage
Merging on GPU/CPU can be controlled ... | {
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} | # What does this PR do ?
Adding a new parameter to include original text in the dictionary returned from a dataloader. This is needed for a cleaner support of metrics in NeMo-Aligner.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level change... | {
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"I think so, I’ll keep actively looking for anything I might have missed though. ",
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} | # What does this PR do ?
Add Lhotse support for `offset` key in NeMo manifests
**Collection**: All speech collections
# Changelog
- Add Lhotse support for `offset` key in NeMo manifests
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use thi... | {
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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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Added a switch to pass tp_overlap to MCORE transformer config. | {
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"Yes. You are right. \r\n```python\r\nlogits_update[logits_update >= 0] = logits_update / repetition_penalty\r\nlogits_update[logits_update < 0] = logits_update * repetition_penalty\r\n```\r\nwe can fix it by treating negative and positive logits differently.\r\n\r\nRegarding to `compute_logprob=False`, you are rig... | 2024-01-18T03:08:47 | 2024-03-10T01:44:55 | 2024-03-10T01:44:55 | NONE | {
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- Version: nemo 1.22.0
- Path: NeMo/nemo/collections/nlp/modules/common/text_generation_utils.py
- Source code:
```
def repetition_penalty(logits, repetition_penalty, used_tokens):
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Move checkpoint converters to the same folder and update to use similar arguments
# 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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"@titu1994 for RNNT review. \r\n@galv instead of `go_very_fast` can you change to `enable_cuda_graphs=true` something like that? ",
"This PR is ready for review. @artbataev @titu1994 would you be willing?",
"I can review this tomorrow @artbataev could you review it too ?",
"Cool, I will review t... | 2024-01-17T19:48:41 | 2024-02-26T16:35:35 | 2024-02-26T16:35:34 | COLLABORATOR | {
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} | # What does this PR do ?
Speeds up RNN-T greedy decoding greatly by eliminating the 90% of the time that the GPU is idle, waiting on the CPU, via cuda graphs with conditional nodes.
Here are some results for transcribing librispeech test other, a 5.4 hour dataset, on an A100, with bfloat16, at batch size 16:
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Some of the base codes need to be modified in order for multimodal optimization to work.
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Adding Megatron Sentence Bert
**Collection**: [Note which collection this PR will affect]
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"What is the amount of data you are pretraining with ? We pretrain these asr models with 25,000 hours of speech. Small amounts of data for pretraining will mean you need to experiment a lot with hyper parameters to get it to converge. ",
"I am training with 150 hours of data, I trained it about 15 epochs ,\nBut W... | 2024-01-17T13:03:57 | 2024-02-29T01:43:51 | 2024-02-29T01:43:51 | NONE | {
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when I use pretrained fast-conformer model, It works well and converges
and these are predicted and refrence results
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} | # What does this PR do ?
Add knob for rope fusion
Add knob for swiglu fusion
Change knob for bias_gelu fusion
The PR is related to the PR of MLM: https://gitlab-master.nvidia.com/ADLR/megatron-lm/-/merge_requests/984
**Collection**: [NLP]
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The attention mask requires 1 * seq_len * seq_len * 4 bytes memory per GPTDataset. It will overwhelm CPU RAM memory when we have extremely long sequence. The PR avoids mask materialization when it's not needed.
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} | # What does this PR do ?
second attempt at https://github.com/NVIDIA/NeMo/pull/8137
**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 ?
Remove left-over prints in NeMo+Lhotse code
**Collection**: All speech collections
# 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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"Having same issue when installing from pip:\r\n```\r\nCollecting megatron-core==0.4.0 (from nemo_toolkit[all])\r\n Downloading megatron_core-0.4.0.tar.gz (154 kB)\r\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 154.8/154.8 kB 8.7 MB/s eta 0:00:00\r\n Installing build dependencies ... done\r\n Getting requireme... | 2024-01-16T15:00:01 | 2024-04-22T01:45:36 | 2024-04-22T01:45:35 | NONE | {
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} | null | null | null | **Describe the bug**
Can't install nemo-toolkit
**Steps/Code to reproduce bug**
Tried to do it through pip and source and getting:
```shell
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [18 lines of output]
Traceback (... | {
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} | null | null | null | **Feature Request:**
I would like to request the addition of support for Model-Agnostic Meta-Learning (MAML) in the NVIDIA NeMo Toolkit. MAML is a powerful meta-learning algorithm that allows models to quickly adapt to new tasks.
**Why is this feature important?**
Its inclusion in the NeMo Toolkit would benefit fo... | {
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"Hello,\r\n\r\ni am trying to make G2P models exportable, but i am running into issues with ONNX export.\r\nI hope someone here can guide me to the correct solution.\r\n\r\n\r\n",
"both (t5 and ctc) return this error:\r\ni am guessing i am doing something wrong with the output types ?\r\n\r\n```\r\nTraceback (mos... | 2024-01-16T06:19:05 | 2024-03-20T09:00:18 | 2024-03-20T09:00:17 | CONTRIBUTOR | {
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} | # What does this PR do ?
Adds support for ONNX export to G2P models (CTC/byT5)
**Collection**: tts
# 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 guide... | {
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} | # What does this PR do ?
Add support for MCore GPT models in the Megatron-LM to NeMo model conversion script.
The script originally supported legacy M-LM -> legacy NeMo conversion.
The script now supports two more paths: legacy M-LM -> MCore NeMo, and MCore M-LM -> MCore NeMo conversions.
MCore M-LM -> legacy... | {
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Description update
# 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
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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."
] | 2024-01-15T16:44:11 | 2024-02-07T01:43:28 | 2024-02-07T01:43:27 | COLLABORATOR | {
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"Hi, the real-time streaming notebooks (such as that one) won't work in Colab unfortunately. You need to run the notebooks locally. They will not be able to record your microphone audio if you run them in Colab or in a Docker container."
] | 2024-01-15T12:47:32 | 2024-01-18T00:07:48 | 2024-01-18T00:07:48 | NONE | {
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} | null | null | null | Hello everyone
I want to run the
https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/Online_Offline_Microphone_VAD_Demo.ipynb
in colab, but colab dose not access to the microphone.
How can I resolve the issue? | {
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