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Enables use of megatron timers in NeMo GPT pretraining and megatron_base based models.
Collection: collections/nlp/models/language_modeling
Usage
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1) Adds support for dict data input type.
2) Adds changes for mock dataset.
3) Adds tests for 1 & 2.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# Usage
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Add FP8 support for SD training.
**Collection**: [multimodal/text_to_image/statble_diffusion]
# Changelog
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- Add transformer engine fp8 layers to Stable diffusion Unet
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**Collection**: docs/TTS
# Changelog
- Added info and references to `models`
- Added class to `api`
- Added a block scheme
- Minor fixes in references and docstrings
# Usage
n/a
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**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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"Hi, \r\nIf possible, we shall always appreciate any reproducible script with audio to see the error from our end. Hope you set `max_num_speakers` to be 8 however if speaker duration of a speaker is very low then NMESC algorithm tends to suppress those speakers, but how ever you can tweak the `max_rp_threshold` to ... | 2024-02-08T12:09:14 | 2024-03-25T01:44:33 | 2024-03-25T01:44:32 | NONE | {
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I have audio with duration of about 90 minutes and it contains 8 speakers, when I'm running the MSDD I'm getting only 4 speakers.
Some of the speakers have speech ratio pretty low related to the other speakers.
What can I do to get better results?
Using oracle num speakers is not a solution because the ... | {
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} | # What does this PR do ?
Update Multimodal data preparation tutorial.
**Collection**: Multimodal
# Changelog
- Delete duplicate section
- Populate "TODO" links with actual links from toolkit doc and launcher.
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
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Fix default beam size of model config
**Collection**: [ASR]
# 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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Fix default beam size of model config
**Collection**: [ASR]
# 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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According to the link above, the inference lantecy of LLAMA-2-13B with A100 80GB SXM4 at batch size=1 and tp=1, is less than latency of LLAMA-2-7B under the same condition.
How ca... | {
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} | # What does this PR do ?
Allow sequence parallel for lora training. Supports all linear modules as in #7988
**Collection**: NLP
# Changelog
- Set sequence_parallel flags to False in LoRA layers to allow gathering output in LoRA `linear_in`
- For attention_qkv and mlp_fc1, do a manual all_gather (reduce_scat... | {
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Adds support to change vocabulary of multi task models.
Adds support to save the tokenizer directory of all ASR models that implement `ASRBPEMixin`.
**Collection**: [ASR]
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This PR fixes issues with using hiddens module at inference time.
**Collection**: [Note which collection this PR will affect]
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# Usage
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Fixing hiddens module support.
**Collection**: [Note which collection this PR will affect]
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Adds TTS models based on megatron T5 and megatron GPT
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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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# Usage
* You can potentially add a usage example below
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Fixing hiddens module support.
**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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"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.",
"can you guide about this issue? @ericharper thank you in advance!"
] | 2024-02-07T11:25:25 | 2024-04-20T09:42:35 | 2024-04-20T09:42:35 | NONE | {
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Hi,
I'm trying to finetune Nemotron-3 Model using nvcr.io/nvidia/nemo:23.10 container with this [lora.ipynb notebook](https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/lora.ipynb) and this exception occurs:
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} | # What does this PR do ?
Add template for DPO model training in NeVA
**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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Adds support to change vocabulary of multi task models.
Adds support to save the tokenizer directory of all ASR models that implement `ASRBPEMixin`.
**Collection**: [ASR]
# Changelog
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} | # What does this PR do ?
Add Finetuning of Parakeet model with HF Datasets
**Collection**: ASR
# Changelog
- Add tutorial
# 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)
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} | # What does this PR do ?
Add inference script for MultitaskAED models to support long audios, by simple chunking into non-overlapped segments.
**Collection**: [asr]
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} | # What does this PR do ?
Enables use of megatron timers in NeMo GPT pretraining and megatron_base based models.
Collection: collections/nlp/models/language_modeling
Usage
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} | # What does this PR do ?
Instead of popping max_seqlen and cu_seqlens_argmin from a batch, we just read the dict to preserve the data for later micro-batches when PP > 1.
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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 ... | 2024-02-06T16:42:53 | 2024-03-18T01:44:07 | 2024-03-18T01:44:07 | COLLABORATOR | {
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} | # What does this PR do ?
Fixes the losses of several Megatron models, that were incorrect for `micro_batch_size` > 1
**Collection**: nlp, multimodal
# Changelog
- Fix losses of several Megatron models (`MegatronGPTModel`, `MegatronNevaModel`, `MegatronBertModel`, `MegatronLMEncoderDecoderModel`) that were in... | {
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"There are also many odd choices, many torch.nn imports have been removed and arbitrarily using the longer torch.nn.xyz - why ? ",
"> There are also many odd choices, many torch.nn imports have been removed and arbitrarily using the longer torch.nn.xyz - why ?\r\n\r\nThe suggestions come from Flake8 ... | 2024-02-06T15:50:39 | 2024-02-29T01:43:39 | 2024-02-29T01:43:38 | COLLABORATOR | {
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Unused imports cleanup indentified by [Flake8](https://flake8.pycqa.org/en/latest), see https://www.flake8rules.com/rules/F401.html.
**Collection**: [ALL]
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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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The loss implemented [here](https://github.com/NVIDIA/NeMo/blob/13c1db4ffdaa3b2125ce6e66c93509a39d55b2cf/nemo/collections/nlp/models/language_modeling/megatron_gpt_model.py#L1169) is incorrect for `micro_batch_size` > 1 because it computes the average over all tokens in the micro-batch, instead ... | {
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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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"@biscayan pls follow steps listed at https://github.com/NVIDIA/NeMo/pull/8341/checks?check_run_id=21297714430 to sign off your commit"
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} | # What does this PR do ?
Add fastconformer model for decoder timestamp.
- Fastconformer model shoud have stride in 0.08 secs
- You can use fastconformer model for diarization in offline_diar_with_asr_infer.py
**Collection**: [Note which collection this PR will affect]
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"Jenkins",
"Jenkins",
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Merging Mcore RETRO from huvu/mcore_retro to r1.23.0
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- Add specific line by line info of high level changes in this PR.
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# Add a code snippet demonstrating how to use this
```
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Multimodal r1.23.0 bug fix
**Collection**: [Multimodal, CI]
# 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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"Uh I'm adding support for this in my ASR transcribe refactor ",
"Actually let's keep this PR open, we'll get it rebased on the transcribe pr",
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- Add Canary support for decoding with return_hypotheses=True and to return top-k hypotheses
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} | null | null | null | Qwen 1.5 was released today and it is the best open LLM, adding support for it would be very helpful.
Blog: https://qwenlm.github.io/blog/qwen1.5/
HF: https://huggingface.co/collections/Qwen/qwen15-65c0a2f577b1ecb76d786524
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Adds bug fixes to support TP, PP =and SP
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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} | # What does this PR do ?
- Fix WER bug in ASR_with_subword_tokenization tutorial
**Collection**: [ASR]
# Changelog
- Added missing parameter to above tutorial
# Before your PR is "Ready for review"
**Pre checks**:
- [Y] Make sure you read and followed [Contributor guidelines](https://github.com/NVID... | {
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} | # What does this PR do ?
Instead of popping max_seqlen and cu_seqlens_argmin from a batch, we just read the dict to preserve the data for later micro-batches when PP > 1.
# 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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"I've had the same issue",
"I looked into this a bit more and I think the real problem is that every process is getting mistaken as the master process (i.e. the issue is_global_rank_zero() from [get_rank.py ](https://github.com/NVIDIA/NeMo/blob/main/nemo/utils/get_rank.py)). \r\n\r\nIf I understand things correct... | 2024-02-05T17:34:00 | 2024-04-30T01:44:57 | 2024-04-30T01:44:56 | NONE | {
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} | null | null | null | **Describe the bug**
Nemo version V1.21.0, script ../examples/asr/speech_to_text_finetune.py
ASR model fine tuning script runs fine with a single GPU, but fails for 2 GPUs and 3+ GPUs.
I made small changes to make multiple GPU training working, but want to confirm with the team if there is a better solution... | {
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"I guess the bug is related to the pytorch lightning (PTL) version upgrade. Since nvcr.io/nvidia/nemo:23.08, PTL is upgraded to 2.0, so there may be some back-compatibility issues for older models trained under PTL>2.0. \r\n\r\nCould you pls try `nvcr.io/nvidia/nemo:23.06` or lower versions of nemo container?",
"... | 2024-02-05T14:56:25 | 2024-02-07T10:23:16 | 2024-02-07T10:23:16 | NONE | {
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I'm trying to resume training from last trained checkpoint (vit tts) but i get following error
```
[NeMo W 2024-02-05 13:09:16 experimental:26] `<class 'nemo.collections.tts.models.vits.VitsModel'>` is experimental and not rea
dy for production yet. Use at your own risk.
Creating ClassifyF... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8331 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8331/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8331/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8331/events | https://github.com/NVIDIA/NeMo/issues/8331 | 2,118,358,053 | I_kwDOC_bI7s5-Q5Ql | 8,331 | Very slow motion speech for some combinations | {
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"@computersrmyfriends Have you been able to get vocoder to create more than 11 seconds of audio? I am unable to figure out how.",
"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 b... | 2024-02-05T11:55:49 | 2024-04-14T01:58:43 | 2024-04-14T01:58:42 | NONE | {
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def text_to_speech(text, tts_model_name, vocoder_model_name, max_length=100, file_name_prefix=""):
torch.set_grad_enabled(False)
sampling_rates = {
"tts_en_tacotron2": 22050,
"tts_en_fastpitch": 22050,
"tts_en_fastpitch_ipa": 22050,
"tts_en_fastpitch_multispeaker": 4... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8330 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8330/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8330/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8330/events | https://github.com/NVIDIA/NeMo/issues/8330 | 2,118,281,302 | I_kwDOC_bI7s5-QmhW | 8,330 | [QUESTION] Best practices for RNN-t train\finetune | {
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"Both RNNTs and CTCs in general has Pros and Cons. RNNTs converge faster compared to CTCs, due to implicit LM prediction nature of RNNTs can get better WER just with greedy decoding, however RNNTs are ~3x slower in training/inference compared to CTCs, but can be improved with a TDT type decoder + CUDA graphs improv... | 2024-02-05T11:20:18 | 2024-04-06T01:44:08 | 2024-04-06T01:44:07 | NONE | {
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} | null | null | null | Hi! I would like to use an RNN-transducer for a Russian ASR task. I use a config like [conformer_transducer_bpe.yaml](https://github.com/NVIDIA/NeMo/blob/v1.20.0/examples/asr/conf/conformer/conformer_transducer_bpe.yaml), but a few things are unclear to me.
1. Should I use RNN-t instead of CTC + greedy decoding in n... | {
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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."
] | 2024-02-05T10:42:56 | 2024-02-28T01:43:59 | 2024-02-28T01:43:59 | NONE | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/8328 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8328/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8328/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8328/events | https://github.com/NVIDIA/NeMo/pull/8328 | 2,118,195,505 | PR_kwDOC_bI7s5mARvp | 8,328 | Add mcore full TE transformer layer spec | {
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"jenkins",
"@jbaczek Could you add the changes in [this NeMo PR](https://github.com/NVIDIA/NeMo/pull/8290/files) to the `AutocastTransformerLayer` here as well? We would need this to comply with the changes to TP knobs in [this TE commit](https://github.com/NVIDIA/TransformerEngine/commit/bdf1afeef0b26455b3b327c7... | 2024-02-05T10:34:45 | 2024-02-26T17:11:15 | 2024-02-23T10:01:57 | COLLABORATOR | {
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} | # What does this PR do ?
Add spec for model built from te.TransformerLayer
**Collection**: nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
Use name of the spec either on config level:
```yaml
[...]
model:
name: megatron_gpt_full_te_layer_autocast
[...]
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https://api.github.com/repos/NVIDIA/NeMo/issues/8327 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8327/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8327/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8327/events | https://github.com/NVIDIA/NeMo/pull/8327 | 2,117,998,185 | PR_kwDOC_bI7s5l_mq6 | 8,327 | fix(main): typo in data_prep.py | {
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} | just fix a typo in data_prep.py
* Related to #8233
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https://api.github.com/repos/NVIDIA/NeMo/issues/8324 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/8324/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/8324/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/8324/events | https://github.com/NVIDIA/NeMo/pull/8324 | 2,116,260,531 | PR_kwDOC_bI7s5l52VV | 8,324 | Attention encoder-decoder models for multiple speech-to-text tasks … | {
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} | # What does this PR do ?
Adds the Attntion Encoder Decoder Multi Task model support into r1.23.0 branch (Canary)
**Collection**: [ASR]
# Changelog
- Adds Multitasking AED models support
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is "Re... | {
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} | # What does this PR do ?
Add check for distributed optimizer which is unsupported for PEFT
**Collection**: NLP
# Changelog
- Add specific line by line info of high level changes in this PR.
# Jenkins CI
To run Jenkins, a NeMo User with write access must comment `jenkins` on the PR.
# Before your PR is... | {
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* Fixes ASR with Transducers notebook
**Collection**: ASR
# Changelog
- Update path to configs
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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Instead of popping `max_seqlen` and `cu_seqlens_argmin` from a batch, we just read the dict to preserve the data for later micro-batches when PP > 1.
```python
# Add a code snippet demonstrating how to use this
```
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} | # What does this PR do ?
Adding the notebook that allows us to do real-time streaming using a cache-aware fastconformer model (supports single-lookahead and multi-lookahead models).
**Collection**: `tutorials/asr`
# Changelog
- Add cache-aware streaming notebook in `tutorials/asr`
- Add call to `self.setup_... | {
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Fix issues in Multimodal in r1.23.0
# Changelog
- Add specific line by line info of high level changes in this PR.
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fix wrong paper link in post
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
- fix decorated import needed for TorchScript, but not compatible with sphinx-autodoc
- use Python 3.10 due to Python 3.10-style type annotations in different places
- add mocks for imports to fix ASR and NLP collections
**Collection**: [Core, Documentation]
# Changelog
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Unify HF converter scripts and arguments
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**Pre checks**:
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"This issue was closed because it has been inactive for 7 days since being marked as stale.",
"this has not been solved i think\r\n"
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```
Traceback (most recent call last):
File "/Users/urospetrovic/ml_projects/thq-transcription-module/export.py", line 44, in <module>
main(args.nemo_file, args.onnx_file, model_type=args.model_type)
File "/Users/urospetrovic/ml_projects/thq-transcription-module/export.py", line 38, ... | {
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- Removes `FrozenCLIPVisionTransfomer` (inherits from `CLIPVisionTransformer`)
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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 ?
Adding the notebook that allows us to do real-time streaming using a cache-aware fastconformer model (supports single-lookahead and multi-lookahead models).
**Collection**: `tutorials/asr`
# Changelog
- Add cache-aware streaming notebook in `tutorials/asr`
- Add call to `self.setup_... | {
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"Hi @gshennvm \r\nFix for incomplete checkpoints was recently merged into main [[PR7952](https://github.com/NVIDIA/NeMo/pull/7952)].\r\nWould it be possible for you to verify if that resolves the problem you noticed?",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label ... | 2024-02-01T00:37:08 | 2024-03-19T01:44:03 | 2024-03-19T01:44:03 | COLLABORATOR | {
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} | null | null | null | currently when saving a nemo checkpoint it creates a directory and then it will save.
this is not robust because the training job can get preempted in the middle of save, creating a corrupted checkpoint.
Ideally we want nemo to create a temporary file, save to the temporary file and only when done saving should t... | {
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} | # What does this PR do ?
Updated the configs for AED models
**Collection**: [ASR]
# Changelog
- Config update
# 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 wri... | {
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} | # What does this PR do ?
Add dist checkpoint support for regular (non O2 and non-distributed) optimizers.
This change is required to support dist ckpt for FSDP training
**Collection**: NLP
# Changelog
- Add dist checkpoint support for regular (non O2 and non-distributed) optimizers.
# Usage
* You can po... | {
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"Wait the URL is wrong for the image. Please fix it by uploading to latest release - 1.22 "
] | 2024-01-31T21:44:47 | 2024-02-01T03:01:33 | 2024-02-01T03:01:33 | COLLABORATOR | {
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} | # What does this PR do ?
TDT blog: adding leaderboard screenshot
**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 demonstratin... | {
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"Merging as is since its urgent. @pzelasko lets pin r1.23 as well asap (send me PR)"
] | 2024-01-31T21:37:46 | 2024-01-31T23:34:14 | 2024-01-31T23:33:47 | COLLABORATOR | {
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} | # What does this PR do ?
Pin lhotse version to 1.19.2. Prevents breaking changes.
**Collection**: All speech collections
# Changelog
- Pin lhotse version to 1.19.2
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# Jenkins C... | {
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] | 2024-01-31T21:33:14 | 2024-02-15T22:36:23 | 2024-02-15T22:36:23 | CONTRIBUTOR | {
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} | # What does this PR do ?
Adds TP comm overlap knobs to `AutocastTransformerLayer`. Requires https://github.com/NVIDIA/TransformerEngine/pull/649.
**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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update TDT blog with new RTF numbers collected on different machines.
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update TDT blog with new RTF numbers collected on different machines.
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Improves "loop labels" greedy decoding implementation, introduced in #7926, with using non-blocking operations (avoiding device-to-host synchronization).
On my local machine, the time for decoding unsorted `test-other` (LibriSpeech) with `stt_en_fastconformer_transducer_large` (2 repeated... | {
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} | # What does this PR do ?
Add a Chinese open-source LLM Baichuan2 (7B/13B) support.
**Collection**: NLP
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- Add Baichuan2 model configuration.
- Add Baichuan2 hf-to-nemo conversion.
- Add Baichuan2 nemo-to-hf conversion.
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"@titu1994 could you help to land it? Prerequisite is mcore=0.5.0 https://github.com/NVIDIA/NeMo/pull/8465"
] | 2024-01-31T11:40:56 | 2024-03-01T16:32:02 | 2024-03-01T16:32:01 | COLLABORATOR | {
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} | # What does this PR do ?
Currently Megatron-LM creates causal attention mask for a local-layer spec model on its own -- see https://github.com/NVIDIA/Megatron-LM/commit/a45805a3ee0645b85b48d14b0a8077fa5b1216b2 -- and hence `attention_mask=None` can be specified in Nemo. In this MR, I'm using this new M-LM functional... | {
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"jenkins",
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"WandB project for tp,pp, sp both nemo legacy bert model and mcore bert model. The curves match https://wandb.ai/shanmugamr/mcore_test?workspace=user-shanmugamr",
"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... | 2024-01-31T00:39:29 | 2024-02-26T01:44:22 | 2024-02-26T01:44:22 | COLLABORATOR | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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