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This PR adds additional functionality to SDXL class of models to support Draft+, and:
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* conversion script for SDXL from huggingface weights to nemo (existing converter script doesnt work)
* additional inference config file to l... | {
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Adds the ability to change prompt format for multi task models
**Collection**: [ASR]
# Changelog
- Add function change_prompt().
- Add tests for changing prompt format of function
# Usage
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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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This PR adds context parallel support for packed dataset in THD format in NeMo in response to this TE PR: https://github.com/NVIDIA/TransformerEngine/pull/641. Currently, the TE PR requires each individual sequence length is divisible by (2*context_parallel_size).
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"CI passed (test that failed flaky & is now fixed): https://github.com/NVIDIA/NeMo/actions/runs/9702489435",
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Update TransformerEngine and update paramters of initialize_ub function
**Collection**: [nlp]
# Changelog
- Update parameter tp_size to tp_group in initialize_ub
# Usage
* You can potentially add a usage example below
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} | Remove precision if using a plugin to the parameters of PL trainer.
Need to switch to MegatronTrainerBuilder, but this week is tough.
# 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 ... | {
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**Collection**: [Note which collection this PR will affect]
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"Hi, I see 2 issues here.\r\n1. The code in `transcribe` is meant to be applied to short chunks of audio, but in `run` you feed in `audio_bytes` which is the audio samples for the whole audio of a single utterance. Instead, you should be splitting up `audio_bytes` i... | 2024-06-25T13:32:11 | 2024-09-28T01:58:02 | 2024-09-28T01:58:02 | NONE | {
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Extends modelopt spec to support MoE/Dense.
**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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"https://github.com/NVIDIA/NeMo/blob/8dbe1daa267fa7182035c8d3c568efc416a636f9/nemo/collections/nlp/models/language_modeling/megatron_base_model.py#L1283\r\n\r\nCould be related to this line. Don't have time to check right now, but randomly stumble... | 2024-06-25T09:56:51 | 2024-09-14T01:55:01 | 2024-09-14T01:55:01 | CONTRIBUTOR | {
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FSDP CPU offloading (`model.fsdp=True` and `model.fsdp_cpu_offload=True`) raises errors due to disallowed device placements (see error and full traceback below). This behavior is observed with both True and False values for `model.use_cpu_initialization`.
```
RuntimeError: An FSDP-managed mo... | {
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Fixes mock data generation for legacy dataset.
**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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"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.",
"Please take a look.",
"Could you try using NeMo 2.0 + FSDP and comparing? We're not planning to support NeMo 1.0 + FSDP.",
"This issue is stale because it has been ope... | 2024-06-24T11:32:56 | 2024-09-30T02:00:36 | 2024-09-30T02:00:35 | CONTRIBUTOR | {
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I've benchmarked both settings of `model.mcore_gpt` in an FSDP setting on the two most recent NVIDIA GPU architectures and found `model.mcore_gpt=False` to be consistently faster (although only slightly on the H100). Note that the A100 vs. H100 numbers are not meant to be comparable; they are ru... | {
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I have a long audio of around 3 hours that spans multiple speakers. The speaker diarization label a single speaker when this audio is passed. When I break down into this audio in parts and pass each part separately, some of the parts get assigned speakers correctly but the rest of the portion ha... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/9522 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9522/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9522/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9522/events | https://github.com/NVIDIA/NeMo/issues/9522 | 2,369,282,556 | I_kwDOC_bI7s6NOGH8 | 9,522 | Issue: TimeError Occurring During Training on node 16 or more | {
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```
Traceback (most recent call last):
File "/opt/NeMo/examples/multimodal/multimodal_llm/neva/neva_pretrain.py", line 19, in <module>
from nemo.collections.multimodal.models.multimodal_llm.ne... | {
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"I will try to look into this issue next week. It can be due to something broken in the cache-aware streaming script. Have you tried some of the already pretrained cache-aware models? Do they work properly?\r\n\r\nYou may use cache-aware with nemo but as far as I know, they are not supported in Riva yet. It is a wo... | 2024-06-23T14:15:46 | 2024-09-09T01:57:10 | 2024-09-09T01:57:10 | NONE | {
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the same was the case when... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/9520 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9520/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9520/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9520/events | https://github.com/NVIDIA/NeMo/issues/9520 | 2,368,452,170 | I_kwDOC_bI7s6NK7ZK | 9,520 | Can you support DoRA? | {
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"Hi @SJmdy \r\nDora is a planned feature in the near future. We plan on supporting it once to transition to NeMo 2.0 is mature.",
"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 be... | 2024-06-23T08:51:05 | 2024-08-12T16:26:15 | 2024-08-12T01:53:12 | NONE | {
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Do you have any plans to support DoRA?
Paper: https://arxiv.org/abs/2402.09353
peft: https://github.com/huggingface/peft/pull/1474
Thank you
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https://api.github.com/repos/NVIDIA/NeMo/issues/9519 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9519/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9519/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9519/events | https://github.com/NVIDIA/NeMo/pull/9519 | 2,368,418,829 | PR_kwDOC_bI7s5zRrrY | 9,519 | Alit/jamba | {
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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."
] | 2024-06-23T08:10:15 | 2024-07-24T01:50:36 | 2024-07-24T01:50:35 | 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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"The error was due to a different pytorch version being installed outside of the container in `~/.local/lib/python3.10/site-packages`. Since my home directory was mounted the container prioritized this version over the one in the container and thus there was a mismatch between `torch` and `torchvision`. \r\n\r\nThe... | 2024-06-22T19:27:10 | 2024-06-22T22:02:42 | 2024-06-22T21:59:40 | NONE | {
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} | null | null | null | **Describe the bug**
Nvidia recently released Nemotron 340B. The [README on Huggingface provides a guide](https://huggingface.co/nvidia/Nemotron-4-340B-Instruct) for performing inference with this model. I followed the guide using the recommended container `nvcr.io/nvidia/nemo:24.01.framework`.
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https://api.github.com/repos/NVIDIA/NeMo/issues/9517 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9517/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9517/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9517/events | https://github.com/NVIDIA/NeMo/pull/9517 | 2,366,552,608 | PR_kwDOC_bI7s5zL4oa | 9,517 | Support Canary parallel inference | {
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"`+` like we talked offline, we have to work around global_rank being set incorrectly before `trainer.predict()` is called - the dataloader has to be initialized with the correct global_rank (and world_size) in order for lhotse's distributed sampler to work correctly",
"trainer.global_rank is apriori set by PTL i... | 2024-06-21T13:27:34 | 2024-09-27T22:19:04 | 2024-09-27T22:19:01 | COLLABORATOR | {
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} | # What does this PR do ?
Support Canary at transcribe_speech_parallel.py script
**Collection**: ASR
```python
#python3 ./examples/asr/transcribe_speech_parallel.py model=./canary-1b.nemo predict_ds.manifest_filepath=./manifest.json output_path=/tmp trainer.devices=-1
```
**PR Type**:
- [ V] New Feature
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"Hi @dachenlian,\r\nCould you try to specify --hparams_yaml param? You can find `hparams.yaml` file in train results folder. It should be in \"version_0\" or \"run_0\" folder.",
"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 da... | 2024-06-21T08:08:42 | 2024-08-25T01:56:17 | 2024-08-25T01:56:16 | NONE | {
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} | null | null | null | I have multiple checkpoints produced after running `examples/nlp/language_modeling/megatron_gpt_continue_training.py`.
However, I am unable to use `examples/nlp/language_modeling/megatron_ckpt_to_nemo.py` to convert it to a `.nemo` object. It's probably because the environment in which I want to do the conversion i... | {
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When I tried to use the self-attention module, I encountered an issue with the mask.
In the file 'multi_head_attention.py', the code appears to handle the mask as follows when it is not None:
```python
if mask is not None:
mask = mask.unsqueeze(1) # (batch, 1, time1, time2)
sco... | {
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"We don't support export of the SLU model ",
"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."
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} | null | null | null | Hello guys, I'm dealing with this issue for days but still unable to find the key. I have followed export steps as this [link](https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/core/export.html). It works for ASR models, but when I need to export SLUIntentSlotBPEModel model, it shows this following e... | {
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"Hi @evodata123, the specific `'ApexGuardDefaults' is not defined` error you are seeing should be fixed by [this PR](https://github.com/NVIDIA/NeMo/pull/9732). But note that Megatron core is a required dependency of NeMo, so if Megatron core is not installed, you may see some orthogonal issues. ",
"This issue is ... | 2024-06-19T14:55:35 | 2024-08-23T01:52:03 | 2024-08-23T01:52:02 | NONE | {
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with Nemo version 2.0.0rc0
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} | # What does this PR do ?
Expose multiprocessing setting for PyT Distributed checkpoint format.
**Collection**: NLP
# Changelog
- Add `model.dist_ckpt_torch_dist_multiproc` flag controlling intra-rank parallelism for PyT Distributed checkpoint saving
# Usage
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Expose multiprocessing setting for PyT Distributed checkpoint format.
**Collection**: NLP
# Changelog
- Add `model.dist_ckpt_torch_dist_multiproc` flag controlling intra-rank parallelism for PyT Distributed checkpoint saving
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} | # What does this PR do ?
Enables existing MCore optimizations, mainly for parallelizing the checkpoint save and load.
These are a lot of small changes, but it made sense to group them into a single MR because they are all somehow interconnected.
**Collection**: NLP
# Changelog
- Enable MCoreDistOpt parallel... | {
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Add section on ".qnemo" checkpoints to https://github.com/NVIDIA/NeMo/pull/9329.
**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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"You can use this model, which is a chunk aware model - https://huggingface.co/nvidia/stt_en_fastconformer_hybrid_large_streaming_multi",
"Thank You @titu1994. I will try it.\r\nBut this has been trained on labeled English dataset. I want to understand the logic, how would it adapt to any other language?",
"It'... | 2024-06-19T08:39:00 | 2024-07-31T18:18:49 | 2024-07-31T18:18:49 | NONE | {
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Following our discussion in [this thread](https://github.com/NVIDIA/NeMo/discussions/7010#discussioncomment-9736124), I’m training a cache-aware FastConformer hybrid CTC-RNNT model for German using 1.2K hours of audio data. Despite training for 150 epochs, my validation WER is still around 0.28.
I s... | null | {
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"Thanks for your inquiry. DeepSeek was in our roadmap but it has now been deprioritized. Here is a list of currently supported LLMs: https://docs.nvidia.com/nemo-framework/user-guide/latest/llms/index.html",
"This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment ... | 2024-06-19T08:01:00 | 2024-08-10T01:51:35 | 2024-08-10T01:51:34 | NONE | {
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"For transducer, there were always 3 outputs in forward because it's just end encoder forward. During decoding we take those encoder outputs and pass them auto regressively to the decoder and joint. \r\n\r\nFor beam search support, @karpnv ",
"This issue is stale because it has been open for 30 days with no activ... | 2024-06-19T07:18:13 | 2024-08-10T01:51:36 | 2024-08-10T01:51:35 | NONE | {
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} | null | null | null | Hi team,
I am trying to add LM into parakeet models and i think this is the script related to it.
[eval_beamsearch_ngram_transducer.py](https://github.com/NVIDIA/NeMo/blob/main/scripts/asr_language_modeling/ngram_lm/eval_beamsearch_ngram_transducer.py)
I have tried using it and encountered a couple of issues ... | {
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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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"You will need to train your spectrogram generator / acoustic model with emotional data. Tag the emotional data as a new speaker and do inference with the emotional-speaker tag."
] | 2024-06-18T18:06:19 | 2024-07-08T23:42:58 | 2024-07-08T23:42:58 | NONE | {
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I was just trying some combinations of Mel-Spectogram-Generators and Vocoders to produce different audio samples.
I was thinking if it was possible to make the produced audio sound more naturally by adding some kind of emotional embeddings in the Mel spectogram generator models. Or any other suitable appr... | {
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"Please someone help me merge this PR pls, its only one line and blocking me from doing the work :)",
"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.",
"Thank you for reporting the issue. The suggested change is a... | 2024-06-18T17:40:20 | 2024-07-12T12:48:25 | 2024-07-12T12:48:24 | NONE | {
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} | # What does this PR do ?
I believe this should fix https://github.com/NVIDIA/NeMo/issues/9320
**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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Fix the script to convert Llama 3 from NeMo to hf format.
# Changelog
- Stop using LlamaTokenizer and start using AutoTokenizer from Transformers.
# Usage
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the same was the case ... | {
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Initial PR for PEFT in nemo 2.0
**Collection**: [Note which collection this PR will affect]
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TE version guard to support with and without MPI dependencies.
# Changelog
- Added TE version guard for userbuffer communication initialization
# Usage
N/A
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Support QLoRA for more models
**Collection**: [Note which collection this PR will affect]
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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.",
"Hi @suiyoubi, do you think we could get this in? It just needs conflict resolution",
"Hmm I t... | 2024-06-17T13:27:02 | 2024-08-17T01:49:27 | 2024-08-17T01:49:26 | COLLABORATOR | {
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Unified to use mcore's modelopt specs instead of the NeMo one
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# Usage
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Add a type hint.
**Collection**: [core]
# Changelog
Add return type hint to the `Model`'s `from_pretrained` method.
# GitHub Actions CI
The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.
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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
* You can potentially add a usage example below
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"I appreciate the feedback. I can update my edits and focus on copyediting only, rather than rephrasing. "
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# Changelog
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# Usage
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When training GPT in FP8 with interleaved pipeline parallelism, we have experienced some GPU idling due to load imbalances across the pipeline parallel group. The first microbatch in a training step requires computing an FP8 weight transpose, which is reused in later microbatches. The fix is... | {
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**Collection**: [Note which collection this PR will affect]
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Support both the old and new version of megatron DDP with a wrapper that checks for valid kwargs.
**Collection**: lightning
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**Pre checks**:
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memory/tokens for generation is pre-assigned with size `min(context_lenght + tokens_to_generate, max_seq_length)`
This causes a crash if `context_length + tokens_to_generate` > `max_seq_length` because the clipping strategy was not doing any clipping of the maxlen.
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**Collection**: multimodal
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Detects slower GPUs ("stragglers") participating in a distributed training.
**Collection**: [Note which collection this PR will affect]
# Changelog
- The PLT callback is implemented in a separate, optional package. It has no dependencies on NeMo.
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Fixes the incorrectly rendered table in FP8 args documention.
**Collection**: [Note which collection this PR will affect]
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How should it be written in the configuration?
There are no detailed examples in the documentation
please help me,THX! | null | {
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bugfix in deploy module | {
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"I have the same problem.",
"Can you also set `max_steps` to something else than `-1`? E.g. `100000`. Let us know if this helps.",
"Setting max_steps as suggested seems to do the trick. Training now runs. Thanks!\r\nI'll close the ticket once I see some epochs completing successfully.",
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File "/usr/local/lib/python3.10/dist-packages/nemo/core/optim/lr_scheduler.py", line 870, in prepare_lr_scheduler
num_samples = len(train_dataloader.dataset)
TypeError: object of type 'LhotseSpeechToTextBpeDataset' has no len(... | {
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Adds support for Mistral7B-Instruct and Mixtral8x7B-Instruct models in NeVa.
**Collection**: [Note which collection this PR will affect]
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Argument changes and non-existent variables are referenced inside of the `MegatronPretrainingRandomSampler` are addressed.
**Collection**: lightning
# Changelog
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Prototype code to try using ModelPT as base class for LLM. Enables path to backward compatibility with NeMo 1.x mcore models.
**Collection**: [LLM]
# Changelog
- [NOTE] For simplicity, the LLMSaveRestoreConnector is duplicated. It will me moved out of final version
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Add an offline quantization script to convert a base model to NF4 (but cast back to BF16 for storage)
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- Add offline quantization script
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Automates releases of NeMo Toolkit.
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} | # What does this PR do ?
Use ModelOpt's `build_tensorrt_llm` utility for accuracy and performance alignment for engines build.
This introduces modelopt as an extra dependency in `nemo.export` module and it is a temporal solution. In long term engines for qnemo should be built directly using tensorrt_llm.
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"We don't use process launcher unless you use hydra sweep config. Can you try removing that ? If not, we'll have to see how to implement your request. Ofc, if you have a solution you're encouraged to send a pr ",
"Is there a way to perform a hyperparameter search without the hydra sweep?",
"This issue is stale ... | 2024-06-12T08:35:38 | 2024-08-10T01:51:37 | 2024-08-10T01:51:37 | NONE | {
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} | null | null | null | **Is your feature request related to a problem? Please describe.**
Hydra offers a way to set the environment variables, that are specific for each job - section hydra.job.env_set [here](https://hydra.cc/docs/1.0/configure_hydra/job/#hydrajobenv_set). However, when I added this to the configuration for my multi-run h... | {
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"Nlp domain requires a lot of external dependencies such as Apex, Transformer Engine and Megatron Core which are not easily pip installable. Please use the container instructions for them, or follow instructions on the readme to build those libraries for a local installation ",
"Hi @adi7820, the issue you are see... | 2024-06-12T07:38:34 | 2024-08-23T01:52:04 | 2024-08-23T01:52:04 | NONE | {
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I've installed Nemo using below commands in my aws sagemaker
**!sudo yum update -y && yum install -y libsndfile1 ffmpeg
!pip install Cython packaging
BRANCH='main'
!python -m pip install git+https://github.com/NVIDIA/NeMo.git@{BRANCH}#egg=nemo_toolkit[all]**
but getting error while I wa... | {
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"Audio codec is in NeMo 2.0.0rc0. You can get it by using pip install nemo_toolkit[asr,tts] --pre"
] | 2024-06-12T05:53:18 | 2024-06-12T13:38:00 | 2024-06-12T13:38:00 | NONE | {
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Latest release version `1.23.0` is missing the `AudioCodecModel` checkpoint list.
**Steps/Code to reproduce bug**
As instructed [here](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/audio_codec_16khz_small), run the following code
```
from nemo.collections.tts.models impo... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
When loading a non-strict dist checkpoint in NeMo it hangs at https://github.com/NVIDIA/NeMo/blob/d7bb40364c17bf322004539f851cc83df4c4c2b7/nemo/utils/callbacks/dist_ckpt_io.py#L272 at PP_rank=0.
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**Collection**: [Note which collection this PR will affect]
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* You can potentially add a usage example below
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Removed "pred_hidden", "joint_hidden", and "pred_rnn_layers" because they are Fast Conformer-Transducer configs.
**Collection**: [ASR]
# Before your PR is "Ready for review"
**Pre checks**:
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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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"This PR was closed because it has been inactive for 7 days since being marked as stale.",
"Could you fix the formatting checks?",
"> Could you fix the formattin... | 2024-06-11T17:34:32 | 2024-08-15T13:53:53 | 2024-08-15T13:20:26 | CONTRIBUTOR | {
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} | # What does this PR do ?
Fixes #9419.
**Collection**: [ASR]
# Changelog
- Fix dataclasses in examples/asr/transcribe_speech.py.
- Fix dataclasses in examples/asr/speech_to_text_eval.py.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines]... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/9439 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/9439/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/9439/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/9439/events | https://github.com/NVIDIA/NeMo/issues/9439 | 2,346,905,991 | I_kwDOC_bI7s6L4vGH | 9,439 | Can we run NeMo MSDD Neural Diarizer model in realtime for realtime diarization? | {
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"check these two PRs: https://github.com/NVIDIA/NeMo/pull/5609, https://github.com/NVIDIA/NeMo/pull/7896\r\nAlthough I couldn't get them to work",
"Thanks for your interest, no we currently don;t support online speaker diarization using MSDD. ",
"@nithinraok thank you nithin for the confirmation"
] | 2024-06-11T17:08:57 | 2024-07-31T18:17:58 | 2024-07-31T18:17:58 | NONE | {
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**Disclaimer**
I just want some inputs in developing a below mentioned pipeline, if it's feasible.
**Requirements**
I'm currently working on a project where I need the diarization to work in a real-time manner. I tried using the PyAnnote Library but None of those could match the accuracy of MSDD but We weren't... | null | {
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