[Bug] RuntimeError: No backend type associated with device type cpu #18803
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shenoynikhil
added
bug
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I can confirm that I also experiencing this bug. Downgrading to 2.0.8 fixes it Current env: Stack: |
awaelchli
added
repro needed
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I see this as well |
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I started seeing this error but couldn't figure out what has caused it. It appears after the first validation epoch, apparently when computing a metric in the |
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Same bug here after upgrade to torch==2.1.0 and lightning==2.1.0. This bug appeared when running Edit: I am using lightning fabric instead of lightning trainer. This bug is also triggered. |
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Same for me. Downgrading to |
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I've got the same error on |
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I also just ran across this error. It seems like the self.log(key, val) calls have changed in some way, as in my case the error went away if I manually moved val to the GPU in every call of self.log in my code |
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My feeling is that the DDP strategy in import torch
from lightning import Trainer, LightningModule
from torch.utils.data import DataLoader
class LitModel(LightningModule):
def __init__(self) -> None:
super().__init__()
self.layer = torch.nn.Linear(1, 1)
def training_step(self, x):
# Everything but the next line is just dummy-code to make it run
self.log(
"foo", value=torch.zeros(1, device="cpu"), on_step=True, sync_dist=True
)
loss = self.layer(x).mean()
return loss
def configure_optimizers(self):
return torch.optim.SGD(self.parameters(), lr=0.1)
def train_dataloader(self):
return DataLoader(torch.randn(32, 1), batch_size=1)
def main():
model = LitModel()
trainer = Trainer(devices=2, accelerator="gpu", max_epochs=2)
trainer.fit(model)
if __name__ == "__main__":
main()Note that this isn't restricted to distributed code that's run by lightning. We have some functionality that uses |
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Has this issue been addressed in nightly? I was really trying to stick to either pip or conda versions and it looks like 2.0.8 is not available on either. |
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Same issue with PyTorch 2.1.1 and Lightning 2.1.2 |
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It looks like the changes was intentional. The changelog says:
This means if you pass in the tensor, it already needs to be on the right device and the user needs to explicitly perform the cc @carmocca |
awaelchli
added
working as intended
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The resolution is not clear to me. I'm getting the message "RuntimeError: No backend type associated with device type cpu". If I was logging 20 things some of them on CPU some of GPU what should I be doing? From your comment @awaelchli I would've thought adding |
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If I understood correctly, when using Is it possible to move the tensors to the correct device automatically in |
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@awaelchli Thanks for clarifying. I've found another corner case where the new behaviour breaks existing code: If you re-use a The reason being that the logger connector moves all intermediate results to CPU on teardown. So on the second call to Here's a full example to reproduce this: |
zhehuaichen
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to zhehuaichen/NeMo
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Dec 22, 2023
Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
zhehuaichen
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Dec 22, 2023
Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
If you want to call |
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I'm having the same issue using the latest version and resolved by downgrading to |
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I've solved the issue on lightning==2.1.3 . When rewriting any epoch_end function, if you log, just make sure that the tensor is on gpu device. If you initialize new tensor, initialize it with device=self.device |
@ouioui199 suggestion works. I changed my code from to
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ziw-liu
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to mehta-lab/VisCy
that referenced
this issue
Mar 4, 2024
ziw-liu
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Apr 8, 2024
* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * compose normalizations for predict and test stages * black * fix normalization in example config * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * removing normalize_source from configs. * typing fixes * fix test data path * fix test dataset * add docstring for ConcatDataModule * format --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
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Got the same error, when trying to compute a confusion matrix on a |
titu1994
added a commit
to NVIDIA/NeMo
that referenced
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Jun 7, 2024
* Fixes * Docs fix * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Add support for sharded NeMo manifest files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support megatron_amp_O2 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support heterogeneous sampling rates in non tarred NeMo manifests * migrate to PTL2.0 Signed-off-by: stevehuang52 <heh@nvidia.com> * clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * update manifest util Signed-off-by: stevehuang52 <heh@nvidia.com> * Support multiple tokenizer/parser types, aggregate tokenizers, and custom language fields * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * agg and normal tokenizers actually work * Support weights for NeMo tarred manifests * Temporarily hardcoded pnc stripping/lowercasing * fix * make pnc hack configurable from the config and disabled by default * fix the hack * migrate to ptl2.1 to support multiple dataloaders Signed-off-by: stevehuang52 <heh@nvidia.com> * support encoder overwrite Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update misc Signed-off-by: stevehuang52 <heh@nvidia.com> * fix eval and clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * support add_sep for perception model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix https://github.com/Lightning-AI/pytorch-lightning/issues/18803 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add_bos Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Transformer decoder with conditioning for canary (#8091) * initial commit for multi-task conf-enc transf-dec for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing decoder states caching during training Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Option to limit the number of open streams (#8095) * audio signal support in multi Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update asr evaluator Signed-off-by: stevehuang52 <heh@nvidia.com> * fix from https://github.com/NVIDIA/NeMo/commit/fcc0f9f6ff7947c3c7fba3ed17d8ec8af6391397 and https://github.com/NVIDIA/NeMo/commit/f97c9016e6438ca4174b66bf9c3e248b28197aaa Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * transcribe fn for Canary models (#8110) * improve readability Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * adding context in transcribe function for ConfTransfModels Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * supporting relative paths in transcribe function for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing cuts.sort_by_duration in __getitem__ to maintain manifest order during inference Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * update for eval Signed-off-by: stevehuang52 <heh@nvidia.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * fix bleu Signed-off-by: stevehuang52 <heh@nvidia.com> * fix typo Signed-off-by: stevehuang52 <heh@nvidia.com> * Add missing audio_filepath validation for Canary (#8119) * Add missing audio_filepath validation for Canary * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add default concat_sampling_probabilities Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support lhotse dataset in speechllm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bypass get_iterator_k_split Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * tmp fix Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * try to use fixed batch with megatron Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add batch logging Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support unfrozen llm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Create README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * Update README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * Update README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * update Signed-off-by: stevehuang52 <heh@nvidia.com> * rename Signed-off-by: stevehuang52 <heh@nvidia.com> * add llama prompt template Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update and refactor Signed-off-by: stevehuang52 <heh@nvidia.com> * support sample alpha Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support lhotse validation set and canary pretrained ckpt with pseudo label Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * make sure backward compatibility Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * remove pad Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * make sure asr_model is frozen Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support greedy decoding Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * valid on lhotse Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix multi dataloader in val case for lhotse SALM; add default data names; keep asr model tokenizer by default to enable adding canary dataset Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * remove the bruteforce _keep_special_tokens implementation Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * decoding_ratio and convert_canary_prompt_to_text support Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * canary_tokens_augment_ratio Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * debug Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bug fix Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix lhotse based eval of llama canary model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support some overwrite for eval Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support zero shot prompt in training Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support cross attention based SALM Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support cross attention based SALM Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix for batch train/valid of cross Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support learnable gate and plotting Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support using pseudo label in prompt rather than cross att Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bug fix for perception cfg and context tokens shift Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * DentityConnectorsAdd Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix ckpt saving Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support RnnGatedCrossAttention Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add include_ffw and fix _optimizer_param_groups for all unfrozen run Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support grad acc when using bucket Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support TransformerCrossAttention Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support ProjectTransformerCrossAttention Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support ++model.use_am_tokenizer ++model.override_vocab_size ++model.override.hidden_size Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support question set on val without canary Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support load_audio_encoder and wip in optim_param_groups Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * minor fix for audio pretrain model init Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * simplify canary_tokens_augment Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * use question in the manifest if it exists Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support dataset weighting for non tar Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Update SpeechLLM code (#8475) * add pleasefixme marker for potential failed nightly tests. (#7678) Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * Add new text segmentation library for better TTS quality (#7645) * Add new text segmentation library for better TTS quality * Update zh_cn_pinyin.py added detailed instruction on how to install pkuseg. Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * Update requirements_tts.txt remove pkuseg as the default dependency of NeMo TTS, and instead, direct users to manually install pkuseg if they really need. Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> --------- Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * Create PrecisionPlugin for megatron_ckpt_to_nemo.py trainer (#7767) (#7774) * Create PrecisionPlugin for megatron_ckpt_to_nemo.py trainer * Add ddp_find_unused_parameters_true for punctuation_capitalization_train_evaluate.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add '32-true' for precision values --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Signed-off-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> Co-authored-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix(clustering_diarizer.py): fix typo (#7772) Signed-off-by: Jean-Louis Queguiner <jean-louis.queguiner@gadz.org> * fix(diarization-README): typo (#7771) Signed-off-by: Jean-Louis Queguiner <jean-louis.queguiner@gadz.org> * Fix bug wrt change decoding strategy for bpe models (#7762) (#7764) * Fix bug wrt change decoding strategy for bpe models * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Co-authored-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Remove incorrect extra argument for load_from_checkpoint_dir() (#7500) Signed-off-by: Robin Dong <robin.k.dong@gmail.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Add nemo to mcore GPT conversion script (#7730) * add conversion script Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove references to 'ckpt' Signed-off-by: Chen Cui <chcui@nvidia.com> * add one more sanity check to make sure there is no unexpected keys in state dict Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make cpu loading work Signed-off-by: Chen Cui <chcui@nvidia.com> * make script work for llama2 models Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * address code check Signed-off-by: Chen Cui <chcui@nvidia.com> * remove trainer precision (was for old sanity check) Signed-off-by: Chen Cui <chcui@nvidia.com> * fix script for llama2 model Signed-off-by: Chen Cui <chcui@nvidia.com> * remove commented code Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix bug in ConditionalInput: cat along the feature dim, not the batch dim (#7785) Signed-off-by: anferico <f.cariaggi4@gmail.com> * Add some docs and update scripts for ASR (#7790) * Add some docs and update scripts Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Signed-off-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * set context for text memmap to fork (#7784) * set context for text memmap to fork Signed-off-by: arendu <adithyare@nvidia.com> * typo Signed-off-by: arendu <adithyare@nvidia.com> --------- Signed-off-by: arendu <adithyare@nvidia.com> * add training with multiple audios Signed-off-by: stevehuang52 <heh@nvidia.com> * Support flash decoding (#7744) * Add flash-decoding Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> --------- Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Yang Zhang <yzhang123@users.noreply.github.com> * Change accelerator to 'auto' in nlp_checkpoint_port.py (#7761) * Change accelerator to 'auto' in nlp_checkpoint_port.py (#7747) * Change accelerator to auto Signed-off-by: Abhishree <abhishreetm@gmail.com> * Pass omegaconf object to trainer in nlp_checkpoint_port.py Signed-off-by: Abhishree <abhishreetm@gmail.com> * Pass omegaconf object to trainer in export.py Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Abhishree <abhishreetm@gmail.com> * docs: fix typos (#7758) Signed-off-by: shuoer86 <129674997+shuoer86@users.noreply.github.com> Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> Signed-off-by: Abhishree <abhishreetm@gmail.com> * Snake act (#7736) Signed-off-by: Abhishree <abhishreetm@gmail.com> * Update gpt_dataset.py (#6963) Signed-off-by: Xin Yao <xiny@nvidia.com> Co-authored-by: Sandeep Subramanian <sandeep.subramanian.1@umontreal.ca> Signed-off-by: Abhishree <abhishreetm@gmail.com> --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Signed-off-by: shuoer86 <129674997+shuoer86@users.noreply.github.com> Signed-off-by: Xin Yao <xiny@nvidia.com> Co-authored-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: shuoer86 <129674997+shuoer86@users.noreply.github.com> Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> Co-authored-by: Nithin Rao <nithinrao.koluguri@gmail.com> Co-authored-by: Xin Yao <yaox12@outlook.com> Co-authored-by: Sandeep Subramanian <sandeep.subramanian.1@umontreal.ca> * Add selection criteria for reference audios in the `GlobalStyleToken` submodule (#7788) * add selection criteria for reference audios Signed-off-by: anferico <f.cariaggi4@gmail.com> * Update configuration files Signed-off-by: anferico <f.cariaggi4@gmail.com> * add informative comment in config files Signed-off-by: anferico <f.cariaggi4@gmail.com> * sample random index for reference audio selection Signed-off-by: anferico <f.cariaggi4@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: anferico <f.cariaggi4@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * update text server to support compute logprobs (#7733) * update text server to support compute logprobs * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo --------- Signed-off-by: Zhilin Wang <zhilinw@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add multi-layer feat extract and fix random question insertion Signed-off-by: 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file instead. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * enable ckpt saving into other precision formats * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support 70b + cleanup qkv slice logic * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix bug * move hf model folder code from comment to function and add instruction to run * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Utkarsh <49331882+uppalutkarsh@users.noreply.github.com> Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: Chen Cui <chcui@nvidia.com> * Save best NeMo model only when necessary (#7836) Signed-off-by: Ante Jukić 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Signed-off-by: Micha Livne <mlivne@nvidia.com> --------- Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Support for flash attention 2.0 (#7063) * Add flash attn 2 Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add FA2 feature Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * Remove debugging Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> Signed-off-by: Cheng-Ping Hsieh <37269846+hsiehjackson@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] 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Signed-off-by: Ante Jukić <ajukic@nvidia.com> * Update Core Commit (#7402) * Update Core Commit Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * update commit Signed-off-by: Abhinav Khattar <aklife97@gmail.com> --------- Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * Use cfg attribute in bert (#7394) * use cfg attribute instead of arg Signed-off-by: Maanu Grover <maanug@nvidia.com> * use torch_dtype in place of cfg.precision Signed-off-by: Maanu Grover <maanug@nvidia.com> * move precision copy before super constructor Signed-off-by: Maanu Grover <maanug@nvidia.com> * use trainer arg Signed-off-by: Maanu Grover <maanug@nvidia.com> --------- Signed-off-by: Maanu Grover <maanug@nvidia.com> * Add support for bias conversion in Swiglu models (#7386) * Add support for bias conversion in Swiglu models Signed-off-by: smajumdar <titu1994@gmail.com> * Add support for auto extracting tokenizer model Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add support for auto extracting tokenizer model Signed-off-by: smajumdar <titu1994@gmail.com> * Fix issue with missing tokenizer Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update save_to and restore_from for dist checkpointing (#7343) * add dist ckpt to save to, in progress Signed-off-by: eharper <eharper@nvidia.com> * move dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * clean up Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update restore from, need to figure out how to initialize distributed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * launch distrib if needed when restoring dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * when using mcore we can change tp pp on the fly Signed-off-by: eharper <eharper@nvidia.com> * add load_from_checkpoint support for dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update llama convert script to save dist .nemo Signed-off-by: eharper <eharper@nvidia.com> * fix load dist ckpt Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup TE TP groups if needed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup te tp groups if needed Signed-off-by: eharper <eharper@nvidia.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> --------- Signed-off-by: eharper <eharper@nvidia.com> Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: jasonwan <jasonwan@nvidia.com> * fix forward for with mcore=false (#7403) Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com> Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com> * Fix logging to remove 's/it' from progress bar in Megatron models and add train_step_timing (#7374) * Add CustomProgressBar class to exp_manager and trainer callbacks Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix the progres…
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* Fixes * Docs fix * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Add support for sharded NeMo manifest files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support megatron_amp_O2 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support heterogeneous sampling rates in non tarred NeMo manifests * migrate to PTL2.0 Signed-off-by: stevehuang52 <heh@nvidia.com> * clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * update manifest util Signed-off-by: stevehuang52 <heh@nvidia.com> * Support multiple tokenizer/parser types, aggregate tokenizers, and custom language fields * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * agg and normal tokenizers actually work * Support weights for NeMo tarred manifests * Temporarily hardcoded pnc stripping/lowercasing * fix * make pnc hack configurable from the config and disabled by default * fix the hack * migrate to ptl2.1 to support multiple dataloaders Signed-off-by: stevehuang52 <heh@nvidia.com> * support encoder overwrite Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update misc Signed-off-by: stevehuang52 <heh@nvidia.com> * fix eval and clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * support add_sep for perception model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix https://github.com/Lightning-AI/pytorch-lightning/issues/18803 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add_bos Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Transformer decoder with conditioning for canary (#8091) * initial commit for multi-task conf-enc transf-dec for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing decoder states caching during training Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Option to limit the number of open streams (#8095) * audio signal support in multi Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update asr evaluator Signed-off-by: stevehuang52 <heh@nvidia.com> * fix from https://github.com/NVIDIA/NeMo/commit/fcc0f9f6ff7947c3c7fba3ed17d8ec8af6391397 and https://github.com/NVIDIA/NeMo/commit/f97c9016e6438ca4174b66bf9c3e248b28197aaa Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * transcribe fn for Canary models (#8110) * improve readability Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * adding context in transcribe function for ConfTransfModels Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * supporting relative paths in transcribe function for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing cuts.sort_by_duration in __getitem__ to maintain manifest order during inference Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * update for eval Signed-off-by: stevehuang52 <heh@nvidia.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * fix bleu Signed-off-by: stevehuang52 <heh@nvidia.com> * fix typo Signed-off-by: stevehuang52 <heh@nvidia.com> * Add missing audio_filepath validation for Canary (#8119) * Add missing audio_filepath validation for Canary * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add default concat_sampling_probabilities Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support lhotse dataset in speechllm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bypass get_iterator_k_split Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * tmp fix Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * try to use fixed batch with megatron Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add batch logging Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support unfrozen llm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Create README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * Update README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * Update README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * update Signed-off-by: stevehuang52 <heh@nvidia.com> * rename Signed-off-by: stevehuang52 <heh@nvidia.com> * add llama prompt template Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update and refactor Signed-off-by: stevehuang52 <heh@nvidia.com> * support sample alpha Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support lhotse validation set and canary pretrained ckpt with pseudo label Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * make sure backward compatibility Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * remove pad Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * make sure asr_model is frozen Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support greedy decoding Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * valid on lhotse Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix multi dataloader in val case for lhotse SALM; add default data names; keep asr model tokenizer by default to enable adding canary dataset Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * remove the bruteforce _keep_special_tokens implementation Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * decoding_ratio and convert_canary_prompt_to_text support Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * canary_tokens_augment_ratio Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * debug Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bug fix Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix lhotse based eval of llama canary model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support some overwrite for eval Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support zero shot prompt in training Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support cross attention based SALM Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support cross attention based SALM Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix for batch train/valid of cross Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support learnable gate and plotting Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support using pseudo label in prompt rather than cross att Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bug fix for perception cfg and context tokens shift Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * DentityConnectorsAdd Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix ckpt saving Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support RnnGatedCrossAttention Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add include_ffw and fix _optimizer_param_groups for all unfrozen run Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support grad acc when using bucket Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support TransformerCrossAttention Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support ProjectTransformerCrossAttention Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support ++model.use_am_tokenizer ++model.override_vocab_size ++model.override.hidden_size Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support question set on val without canary Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support load_audio_encoder and wip in optim_param_groups Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * minor fix for audio pretrain model init Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * simplify canary_tokens_augment Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * use question in the manifest if it exists Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support dataset weighting for non tar Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Update SpeechLLM code (#8475) * add pleasefixme marker for potential failed nightly tests. (#7678) Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * Add new text segmentation library for better TTS quality (#7645) * Add new text segmentation library for better TTS quality * Update zh_cn_pinyin.py added detailed instruction on how to install pkuseg. Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * Update requirements_tts.txt remove pkuseg as the default dependency of NeMo TTS, and instead, direct users to manually install pkuseg if they really need. Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> --------- Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * Create PrecisionPlugin for megatron_ckpt_to_nemo.py trainer (#7767) (#7774) * Create PrecisionPlugin for megatron_ckpt_to_nemo.py trainer * Add ddp_find_unused_parameters_true for punctuation_capitalization_train_evaluate.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add '32-true' for precision values --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Signed-off-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> Co-authored-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix(clustering_diarizer.py): fix typo (#7772) Signed-off-by: Jean-Louis Queguiner <jean-louis.queguiner@gadz.org> * fix(diarization-README): typo (#7771) Signed-off-by: Jean-Louis Queguiner <jean-louis.queguiner@gadz.org> * Fix bug wrt change decoding strategy for bpe models (#7762) (#7764) * Fix bug wrt change decoding strategy for bpe models * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Co-authored-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Remove incorrect extra argument for load_from_checkpoint_dir() (#7500) Signed-off-by: Robin Dong <robin.k.dong@gmail.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Add nemo to mcore GPT conversion script (#7730) * add conversion script Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove references to 'ckpt' Signed-off-by: Chen Cui <chcui@nvidia.com> * add one more sanity check to make sure there is no unexpected keys in state dict Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make cpu loading work Signed-off-by: Chen Cui <chcui@nvidia.com> * make script work for llama2 models Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * address code check Signed-off-by: Chen Cui <chcui@nvidia.com> * remove trainer precision (was for old sanity check) Signed-off-by: Chen Cui <chcui@nvidia.com> * fix script for llama2 model Signed-off-by: Chen Cui <chcui@nvidia.com> * remove commented code Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix bug in ConditionalInput: cat along the feature dim, not the batch dim (#7785) Signed-off-by: anferico <f.cariaggi4@gmail.com> * Add some docs and update scripts for ASR (#7790) * Add some docs and update scripts Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Signed-off-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * set context for text memmap to fork (#7784) * set context for text memmap to fork Signed-off-by: arendu <adithyare@nvidia.com> * typo Signed-off-by: arendu <adithyare@nvidia.com> --------- Signed-off-by: arendu <adithyare@nvidia.com> * add training with multiple audios Signed-off-by: stevehuang52 <heh@nvidia.com> * Support flash decoding (#7744) * Add flash-decoding Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> --------- Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Yang Zhang <yzhang123@users.noreply.github.com> * Change accelerator to 'auto' in nlp_checkpoint_port.py (#7761) * Change accelerator to 'auto' in nlp_checkpoint_port.py (#7747) * Change accelerator to auto Signed-off-by: Abhishree <abhishreetm@gmail.com> * Pass omegaconf object to trainer in nlp_checkpoint_port.py Signed-off-by: Abhishree <abhishreetm@gmail.com> * Pass omegaconf object to trainer in export.py Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Abhishree <abhishreetm@gmail.com> * docs: fix typos (#7758) Signed-off-by: shuoer86 <129674997+shuoer86@users.noreply.github.com> Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> Signed-off-by: Abhishree <abhishreetm@gmail.com> * Snake act (#7736) Signed-off-by: Abhishree <abhishreetm@gmail.com> * Update gpt_dataset.py (#6963) Signed-off-by: Xin Yao <xiny@nvidia.com> Co-authored-by: Sandeep Subramanian <sandeep.subramanian.1@umontreal.ca> Signed-off-by: Abhishree <abhishreetm@gmail.com> --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Signed-off-by: shuoer86 <129674997+shuoer86@users.noreply.github.com> Signed-off-by: Xin Yao <xiny@nvidia.com> Co-authored-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: shuoer86 <129674997+shuoer86@users.noreply.github.com> Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> Co-authored-by: Nithin Rao <nithinrao.koluguri@gmail.com> Co-authored-by: Xin Yao <yaox12@outlook.com> Co-authored-by: Sandeep Subramanian <sandeep.subramanian.1@umontreal.ca> * Add selection criteria for reference audios in the `GlobalStyleToken` submodule (#7788) * add selection criteria for reference audios Signed-off-by: anferico <f.cariaggi4@gmail.com> * Update configuration files Signed-off-by: anferico <f.cariaggi4@gmail.com> * add informative comment in config files Signed-off-by: anferico <f.cariaggi4@gmail.com> * sample random index for reference audio selection Signed-off-by: anferico <f.cariaggi4@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: anferico <f.cariaggi4@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * update text server to support compute logprobs (#7733) * update text server to support compute logprobs * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix typo --------- Signed-off-by: Zhilin Wang <zhilinw@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add multi-layer feat extract and fix random question insertion Signed-off-by: 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file instead. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * enable ckpt saving into other precision formats * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support 70b + cleanup qkv slice logic * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix bug * move hf model folder code from comment to function and add instruction to run * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Utkarsh <49331882+uppalutkarsh@users.noreply.github.com> Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: Chen Cui <chcui@nvidia.com> * Save best NeMo model only when necessary (#7836) Signed-off-by: Ante Jukić 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eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup te tp groups if needed Signed-off-by: eharper <eharper@nvidia.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> --------- Signed-off-by: eharper <eharper@nvidia.com> Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: jasonwan <jasonwan@nvidia.com> * fix forward for with mcore=false (#7403) Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com> Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com> * Fix logging to remove 's/it' from progress bar in Megatron models and add train_step_timing (#7374) * Add CustomProgressBar class to exp_manager and trainer callbacks Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix the progress bar to reflect total microbatch cnt Signed-off-by: Abhishree <abhishreetm@gmail.com> * Modify CustomProgressBar class 1) Modify CustomProgressBar class to update progress bar per global_step instead of per microbatch 2) Add the callback to other megatron training/finetuning files that are not using MegatronTrainerBuilder Signed-off-by: Abhishree <abhishreetm@gmail.com> * Add CustomProgressBar callback to tuning files Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Abhishree <abhishreetm@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Set Activation Checkpointing Defaults (#7404) * Set Activation Checkpointing Defaults Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * check for None Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Abhinav Khattar <aklife97@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * make loss mask default to false (#7407) Signed-off-by: eharper <eharper@nvidia.com> * Add dummy userbuffer config files (#7408) Signed-off-by: Sangkug Lym <slym@nvidia.com> * add missing ubconf files (#7412) Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * New tutorial on Speech Data Explorer (#7405) * Added Google Colab based tutorial on Speech Data Explorer Signed-off-by: George Zelenfroynd <gzelenfroind@nvidia.com> * Update ptl training ckpt conversion script to work with dist ckpt (#7416) * update ptl convert script Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * don't break legacy Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: eharper <eharper@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Allow disabling sanity checking when num_sanity_val_steps=0 (#7413) * Allow disabling sanity checking when num_sanity_val_steps=0 Signed-off-by: Abhishree <abhishreetm@gmail.com> * Update num_sanity_val_steps to be a multiple of num_microbatches Signed-off-by: Abhishree Thittenamane <47577437+athitten@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more informa…
akoumpa
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…rategy (#9387) * Integrating mcore's DistributedDataParallel into MegatronStrategy Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply isort and black reformatting Signed-off-by: marcromeyn <marcromeyn@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply ddp-hooks from pytorch only when needed Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * bugfix if using mcore distOpt with sft (#9356) * bugfix if using mcore distOpt Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> * Apply isort and black reformatting Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> --------- Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> Co-authored-by: akoumpa <akoumpa@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * fix typo infer_seq_lenght -> infer_seq_length (#9370) Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Co-authored-by: Marc Romeyn <mromeijn@nvidia.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Rachitg/ag (#9083) * Rachitg/ag (#9081) * disable overlap for qkv Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * bug fix * bugfix --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: michal2409 <michal2409@users.noreply.github.com> --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Signed-off-by: michal2409 <michal2409@users.noreply.github.com> Co-authored-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Michal Futrega <mfutrega@nvidia.com> Co-authored-by: michal2409 <michal2409@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Adding the original change made for label_models (#9377) (#9378) Signed-off-by: Taejin Park <tango4j@gmail.com> Co-authored-by: Taejin Park <tango4j@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Dgalvez/fix greedy batch strategy name r2.0.0rc0 (#9243) (#9253) * Lazily warn about using greedy strategy instead of greedy_batch strategy. Previously, the warning would often run spuriously, since several existing code paths simply call "change_decoding_strategy()" after having first initialized a Module, rather than changing the config before initializing the Module. This can be confusing. The only problem I can see with this is that using logging inside a forward() method might interfere with some compiler toolkits like Torchscript or thunder.compile. Presumably it would be easy to add a conditional statement to avoid this statement in a compiler context if necessary. Signed-off-by: Daniel Galvez <dgalvez@nvidia.com> Co-authored-by: Daniel Galvez <galv@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Update README.rst (#9393) Revised content per https://gitlab-master.nvidia.com/nemo-framework-tme/documentation/-/issues/25. Also removed reference to NIMs in LLMs and MMs Deployment and Optimization. It should be NVIDIA NeMo Microservices and not NIM. Removed nemo:24.03.framework and nemo:24.01.speech in Docker Containers section and replaced with 24.05 . Please verify all changes. Signed-off-by: jgerh <163925524+jgerh@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * a2a fix removed tp world size and group from init (#8944) (#8952) Signed-off-by: Anmol Gupta <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: anmolgupt <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Add config option for FP32 embedding grads (#8953) * Add config option for FP32 embedding grads (#8946) Signed-off-by: Tim Moon <tmoon@nvidia.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Changes to enable CUDA graph for LLM (#8955) * Changes to enable CUDA graph for LLM (#8751) * Use next instead of get_batch Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * CUDA graph changes Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change to enable CG with weight caching Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Use next instead of get_batch" This reverts commit 0021bb444cdd1b27674fc0cfea909c1a42475336. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py" This reverts commit b4f736ed2b39f6c48d2868ac3febb82c763ab3fb. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Remove skip_weight_update argument Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Bug fix + cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Use new TE API for FP8 Param transpose Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change config param cuda_graph to enable_cuda_graph Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Enable TE RNGStatesTracker through config Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change te_rng_tracker to use_te_rng_tracker Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * FP8 weight transpose handled inside TE Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py"" This reverts commit e31862481216f9adf7fa584a0c0262916c935639. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> --------- Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: Jaemin Choi <jaeminc@nvidia.com> Co-authored-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: vasunvidia <108759426+vasunvidia@users.noreply.github.com> Co-authored-by: Jaemin Choi <jaeminc@nvidia.com> Co-authored-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Enhance Distributed Adam (#9051) * Enhance Distributed Adam (#9037) * Fix deprecated env. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Use user desired value for distributed adam. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Preserve memory format in parameter buffer of distributed adam. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Fix the contiguous_param_buffer bug about bprop overlap and redundant copy after all-gather. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Provide API to lock SHArP tree for distributed adam within nodes. Signed-off-by: Wil Kong <alpha0422@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Wil Kong <alpha0422@gmail.com> --------- Signed-off-by: Wil Kong <alpha0422@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Wil Kong <alpha0422@gmail.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: Wil Kong <alpha0422@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Force diarizer to use CUDA if cuda is available and if device=None. (#9380) (#9390) * Fixed clustering diarizer to load MSDD to GPU by default if cuda on * Fixed clustering diarizer to load MSDD to GPU by default if cuda on * Apply isort and black reformatting --------- Signed-off-by: Taejin Park <tango4j@gmail.com> Signed-off-by: tango4j <tango4j@users.noreply.github.com> Co-authored-by: Taejin Park <tango4j@gmail.com> Co-authored-by: tango4j <tango4j@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * ci: Properly catch failed tests by introduction of workflow templates (#9324) * ci: Refactor tests into reusable template Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * ci: Fix sending alerts on failure Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * disable slack Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix alerting Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * ci: Increase timeout for `L0_Unit_Tests_CPU` Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * increase timeout Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * increase timeout for `Speech_Checkpoints_tests` Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * improve readability Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * test Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * test Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * finalize Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * add missing rm statement for `L2_PTQ_Llama2_Export_Only` Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * all your comments are belong to us Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * remove github output Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * revive more comments Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * add L2: ASR dev run - part two Signed-off-by: Oliver Koenig <okoenig@nvidia.com> --------- Signed-off-by: Oliver Koenig <okoenig@nvidia.com> Signed-off-by: Pablo Garay <palenq@gmail.com> Co-authored-by: Pablo Garay <palenq@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Fix T5 G2P Input and Output Types (#9224) (#9269) * fix t5 g2p model * Apply isort and black reformatting --------- Signed-off-by: Jason <jasoli@nvidia.com> Signed-off-by: blisc <blisc@users.noreply.github.com> Co-authored-by: Jason <jasoli@nvidia.com> Co-authored-by: blisc <blisc@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Use model-cast-to-bfloat16 rather than AMP-to-bfloat16 for inference. (#9198) * Fix the "cast ping pong" problem when we run AMP inference. This has been tested only for Parakeet-CTC-1.1B right now. This problem certainly exists elsewhere. Automatic mixed precision and inference do not play well together. First, automatic mixed precision was created back when neural networks were much simpler. In particular, they did not have softmax and layer norm as frequent operations. In the era of transformers, softmax and layer norm are very common. AMP will uncoditionally output fp32 outputs from these operations, even if their inputs are fp16. See here: https://pytorch.org/docs/stable/amp.html#cuda-ops-that-can-autocast-to-float32 This is no longer necessary, now that layer norm does accumulation in fp32 in pytorch, even if the input is fp16: https://github.com/pytorch/pytorch/issues/66707 Do infernece by casting model to bfloat16, not by using AMP. Do feature preprocessing in float32 for accuracy. Warn if someone tries to input a non-float32 tensor. Always create the output in the type the rest of the model expects. Sort manifests by duration. Signed-off-by: Daniel Galvez <dgalvez@nvidia.com> * Always cast softmax inputs to float32 when in training mode. While we don't need this for accurate results in b/float16, this is a safety precaution to make sure that training accuracy does not regress. 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ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add GQA config to megatron gpt model (#7096) * Add GQA config in gpt config file Signed-off-by: jasonwan <jasonwan@nvidia.com> * Verify mcore is enabled when using GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert Signed-off-by: ericharper <complex451@gmail.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * rollback model cast for p-tuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * update for dist adam Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use get_gpt_module_list Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com 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GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> * support amp O2 Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert & more O2 fix Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * lora inject to attention Signed-off-by: jasonwan <jasonwan@nvidia.com> * support …
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Jun 11, 2024
* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * always use untrainable head for FCMAE * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * custom head * ddp caching fixes * fix caching when using combined loader * compose normalizations for predict and test stages * black * fix normalization in example config * fix normalization in example config * prefetch more in validation * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * typing fixes * fix test dataset * fix invert transform * add ddp prepare flag for combined data module * remove redundant operations * filter empty detections * pass trainer to underlying data modules in concatenated * hack: add test dataloader for LiveCell dataset * test datasets for livecell and ctmc * fix merge error * fix merge error * fix mAP default for over 100 detections * bump torchmetric * fix combined loader training for virtual staining task * fix non-combined data loader training * add fcmae to graph script * fix type hint * format * add back convolutiuon option for fcmae head --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
janekl
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Jun 12, 2024
* Fixes * Docs fix * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Add support for sharded NeMo manifest files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support megatron_amp_O2 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support heterogeneous sampling rates in non tarred NeMo manifests * migrate to PTL2.0 Signed-off-by: stevehuang52 <heh@nvidia.com> * clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * update manifest util Signed-off-by: stevehuang52 <heh@nvidia.com> * Support multiple tokenizer/parser types, aggregate tokenizers, and custom language fields * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * agg and normal tokenizers actually work * Support weights for NeMo tarred manifests * Temporarily hardcoded pnc stripping/lowercasing * fix * make pnc hack configurable from the config and disabled by default * fix the hack * migrate to ptl2.1 to support multiple dataloaders Signed-off-by: stevehuang52 <heh@nvidia.com> * support encoder overwrite Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update misc Signed-off-by: stevehuang52 <heh@nvidia.com> * fix eval and clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * support add_sep for perception model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix https://github.com/Lightning-AI/pytorch-lightning/issues/18803 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add_bos Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Transformer decoder with conditioning for canary (#8091) * initial commit for multi-task conf-enc transf-dec for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing decoder states caching during training Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Option to limit the number of open streams (#8095) * audio signal support in multi Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update asr evaluator Signed-off-by: stevehuang52 <heh@nvidia.com> * fix from https://github.com/NVIDIA/NeMo/commit/fcc0f9f6ff7947c3c7fba3ed17d8ec8af6391397 and https://github.com/NVIDIA/NeMo/commit/f97c9016e6438ca4174b66bf9c3e248b28197aaa Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * transcribe fn for Canary models (#8110) * improve readability Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * adding context in transcribe function for ConfTransfModels Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * supporting relative paths in transcribe function for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing cuts.sort_by_duration in __getitem__ to maintain manifest order during inference Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> 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<dian.chenzhehuai@gmail.com> * support load_audio_encoder and wip in optim_param_groups Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * minor fix for audio pretrain model init Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * simplify canary_tokens_augment Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * use question in the manifest if it exists Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support dataset weighting for non tar Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Update SpeechLLM code (#8475) * add pleasefixme marker for potential failed nightly tests. 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* [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove references to 'ckpt' Signed-off-by: Chen Cui <chcui@nvidia.com> * add one more sanity check to make sure there is no unexpected keys in state dict Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * make cpu loading work Signed-off-by: Chen Cui <chcui@nvidia.com> * make script work for llama2 models Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * address code check Signed-off-by: Chen Cui <chcui@nvidia.com> * remove trainer precision (was for old sanity check) Signed-off-by: Chen Cui <chcui@nvidia.com> * fix script for llama2 model Signed-off-by: Chen Cui <chcui@nvidia.com> * remove commented code Signed-off-by: Chen Cui <chcui@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix bug in ConditionalInput: cat along the feature dim, not the batch dim (#7785) Signed-off-by: anferico <f.cariaggi4@gmail.com> * Add some docs and update scripts for ASR (#7790) * Add some docs and update scripts Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Signed-off-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * set context for text memmap to fork (#7784) * set context for text memmap to fork Signed-off-by: arendu <adithyare@nvidia.com> * typo Signed-off-by: arendu <adithyare@nvidia.com> --------- Signed-off-by: arendu <adithyare@nvidia.com> * add training with multiple audios Signed-off-by: stevehuang52 <heh@nvidia.com> * Support flash decoding (#7744) * Add flash-decoding Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> --------- Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Yang Zhang <yzhang123@users.noreply.github.com> * Change accelerator to 'auto' in nlp_checkpoint_port.py (#7761) * Change accelerator to 'auto' in nlp_checkpoint_port.py (#7747) * Change 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Signed-off-by: Tim Moon <tmoon@nvidia.com> * Use distopt support for contiguous buffers with multiple dtypes Signed-off-by: Tim Moon <tmoon@nvidia.com> * Fix typo Signed-off-by: Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Separate distopt buckets for first GPT layer and non-overlapped params Signed-off-by: Tim Moon <tmoon@nvidia.com> * Add distopt logic for int dtypes Signed-off-by: Tim Moon <tmoon@nvidia.com> * Update Apex commit Signed-off-by: Tim Moon <tmoon@nvidia.com> * Remove unused variables Signed-off-by: Tim Moon <tmoon@nvidia.com> * Update Apex commit in README and Jenkensfile Signed-off-by: Tim Moon <tmoon@nvidia.com> * Debug Dockerfile and Jenkinsfile Signed-off-by: Tim Moon <tmoon@nvidia.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * minor fix for llama ckpt conversion script (#7387) * minor fix for llama ckpt conversion script Signed-off-by: Jason Wang <jasonwan@nvidia.com> * Update Jenkinsfile Signed-off-by: Jason Wang <jasonwan@nvidia.com> * remove fast_swiglu configuration Signed-off-by: Jason Wang <jasonwan@nvidia.com> --------- Signed-off-by: Jason Wang <jasonwan@nvidia.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix wrong calling of librosa.get_duration() in notebook (#7376) Signed-off-by: Robin Dong <robin.k.dong@gmail.com> Co-authored-by: Somshubra Majumdar <titu1994@gmail.com> * [PATCH] PEFT import mcore (#7393) * [PATCH] PEFT import mcore Signed-off-by: Jason Wang <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Jason Wang <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [TTS] Added a callback for logging initial data (#7384) Signed-off-by: Ante Jukić <ajukic@nvidia.com> * Update Core Commit (#7402) * Update Core Commit Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * update commit Signed-off-by: Abhinav Khattar <aklife97@gmail.com> --------- Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * Use cfg attribute in bert (#7394) * use cfg attribute instead of arg Signed-off-by: Maanu Grover <maanug@nvidia.com> * use torch_dtype in place of cfg.precision Signed-off-by: Maanu Grover <maanug@nvidia.com> * move precision copy before super constructor Signed-off-by: Maanu Grover <maanug@nvidia.com> * use trainer arg Signed-off-by: Maanu Grover <maanug@nvidia.com> --------- Signed-off-by: Maanu Grover <maanug@nvidia.com> * Add support for bias conversion in Swiglu models (#7386) * Add support for bias conversion in Swiglu models Signed-off-by: smajumdar <titu1994@gmail.com> * Add support for auto extracting tokenizer model Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add support for auto extracting tokenizer model Signed-off-by: smajumdar <titu1994@gmail.com> * Fix issue with missing tokenizer Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update save_to and restore_from for dist checkpointing (#7343) * add dist ckpt to save to, in progress Signed-off-by: eharper <eharper@nvidia.com> * move dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * clean up Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update restore from, need to figure out how to initialize distributed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * launch distrib if needed when restoring dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * when using mcore we can change tp pp on the fly Signed-off-by: eharper <eharper@nvidia.com> * add load_from_checkpoint support for dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update llama convert script to save dist .nemo Signed-off-by: eharper <eharper@nvidia.com> * fix load dist ckpt Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup TE TP groups if needed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup te tp groups if needed Signed-off-by: eharper <eharper@nvidia.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> --------- Signed-off-by: eharper <eharper@nvidia.com> Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: jasonwan <jasonwan@nvidia.com> * fix forward for with mcore=false (#7403) Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com> Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com> * Fix logging to remove 's/it' from progress bar in Megatron models and add train_step_timing (#7374) * Add CustomProgressBar class to exp_manager and trainer callbacks Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix the progres…
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…rategy (#9387) * Integrating mcore's DistributedDataParallel into MegatronStrategy Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply isort and black reformatting Signed-off-by: marcromeyn <marcromeyn@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply ddp-hooks from pytorch only when needed Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * bugfix if using mcore distOpt with sft (#9356) * bugfix if using mcore distOpt Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> * Apply isort and black reformatting Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> --------- Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> Co-authored-by: akoumpa <akoumpa@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * fix typo infer_seq_lenght -> infer_seq_length (#9370) Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Co-authored-by: Marc Romeyn <mromeijn@nvidia.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Rachitg/ag (#9083) * Rachitg/ag (#9081) * disable overlap for qkv Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * bug fix * bugfix --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: michal2409 <michal2409@users.noreply.github.com> --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Signed-off-by: michal2409 <michal2409@users.noreply.github.com> Co-authored-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Michal Futrega <mfutrega@nvidia.com> Co-authored-by: michal2409 <michal2409@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Adding the original change made for label_models (#9377) (#9378) Signed-off-by: Taejin Park <tango4j@gmail.com> Co-authored-by: Taejin Park <tango4j@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Dgalvez/fix greedy batch strategy name r2.0.0rc0 (#9243) (#9253) * Lazily warn about using greedy strategy instead of greedy_batch strategy. Previously, the warning would often run spuriously, since several existing code paths simply call "change_decoding_strategy()" after having first initialized a Module, rather than changing the config before initializing the Module. This can be confusing. The only problem I can see with this is that using logging inside a forward() method might interfere with some compiler toolkits like Torchscript or thunder.compile. Presumably it would be easy to add a conditional statement to avoid this statement in a compiler context if necessary. Signed-off-by: Daniel Galvez <dgalvez@nvidia.com> Co-authored-by: Daniel Galvez <galv@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Update README.rst (#9393) Revised content per https://gitlab-master.nvidia.com/nemo-framework-tme/documentation/-/issues/25. Also removed reference to NIMs in LLMs and MMs Deployment and Optimization. It should be NVIDIA NeMo Microservices and not NIM. Removed nemo:24.03.framework and nemo:24.01.speech in Docker Containers section and replaced with 24.05 . Please verify all changes. Signed-off-by: jgerh <163925524+jgerh@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * a2a fix removed tp world size and group from init (#8944) (#8952) Signed-off-by: Anmol Gupta <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: anmolgupt <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Add config option for FP32 embedding grads (#8953) * Add config option for FP32 embedding grads (#8946) Signed-off-by: Tim Moon <tmoon@nvidia.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Changes to enable CUDA graph for LLM (#8955) * Changes to enable CUDA graph for LLM (#8751) * Use next instead of get_batch Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * CUDA graph changes Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change to enable CG with weight caching Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Use next instead of get_batch" This reverts commit 0021bb444cdd1b27674fc0cfea909c1a42475336. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py" This reverts commit b4f736ed2b39f6c48d2868ac3febb82c763ab3fb. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Remove skip_weight_update argument Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Bug fix + cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Use new TE API for FP8 Param transpose Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change config param cuda_graph to enable_cuda_graph Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Enable TE RNGStatesTracker through config Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change te_rng_tracker to use_te_rng_tracker Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * FP8 weight transpose handled inside TE Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py"" This reverts commit e31862481216f9adf7fa584a0c0262916c935639. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> --------- Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: Jaemin Choi <jaeminc@nvidia.com> Co-authored-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: vasunvidia <108759426+vasunvidia@users.noreply.github.com> Co-authored-by: Jaemin Choi <jaeminc@nvidia.com> Co-authored-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Enhance Distributed Adam (#9051) * Enhance Distributed Adam (#9037) * Fix deprecated env. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Use user desired value for distributed adam. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Preserve memory format in parameter buffer of distributed adam. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Fix the contiguous_param_buffer bug about bprop overlap and redundant copy after all-gather. Signed-off-by: Wil Kong <alpha0422@gmail.com> * Provide API to lock SHArP tree for distributed adam within nodes. Signed-off-by: Wil Kong <alpha0422@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Wil Kong <alpha0422@gmail.com> --------- Signed-off-by: Wil Kong <alpha0422@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Wil Kong <alpha0422@gmail.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: Wil Kong <alpha0422@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Force diarizer to use CUDA if cuda is available and if device=None. (#9380) (#9390) * Fixed clustering diarizer to load MSDD to GPU by default if cuda on * Fixed clustering diarizer to load MSDD to GPU by default if cuda on * Apply isort and black reformatting --------- Signed-off-by: Taejin Park <tango4j@gmail.com> Signed-off-by: tango4j <tango4j@users.noreply.github.com> Co-authored-by: Taejin Park <tango4j@gmail.com> Co-authored-by: tango4j <tango4j@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * ci: Properly catch failed tests by introduction of workflow templates (#9324) * ci: Refactor tests into reusable template Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * ci: Fix sending alerts on failure Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * disable slack Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix alerting Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * ci: Increase timeout for `L0_Unit_Tests_CPU` Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * increase timeout Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * increase timeout for `Speech_Checkpoints_tests` Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * improve readability Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * test Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * test Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * finalize Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * fix Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * add missing rm statement for `L2_PTQ_Llama2_Export_Only` Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * all your comments are belong to us Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * remove github output Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * revive more comments Signed-off-by: Oliver Koenig <okoenig@nvidia.com> * add L2: ASR dev run - part two Signed-off-by: Oliver Koenig <okoenig@nvidia.com> --------- Signed-off-by: Oliver Koenig <okoenig@nvidia.com> Signed-off-by: Pablo Garay <palenq@gmail.com> Co-authored-by: Pablo Garay <palenq@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Fix T5 G2P Input and Output Types (#9224) (#9269) * fix t5 g2p model * Apply isort and black reformatting --------- Signed-off-by: Jason <jasoli@nvidia.com> Signed-off-by: blisc <blisc@users.noreply.github.com> Co-authored-by: Jason <jasoli@nvidia.com> Co-authored-by: blisc <blisc@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Use model-cast-to-bfloat16 rather than AMP-to-bfloat16 for inference. (#9198) * Fix the "cast ping pong" problem when we run AMP inference. This has been tested only for Parakeet-CTC-1.1B right now. This problem certainly exists elsewhere. Automatic mixed precision and inference do not play well together. First, automatic mixed precision was created back when neural networks were much simpler. In particular, they did not have softmax and layer norm as frequent operations. In the era of transformers, softmax and layer norm are very common. AMP will uncoditionally output fp32 outputs from these operations, even if their inputs are fp16. See here: https://pytorch.org/docs/stable/amp.html#cuda-ops-that-can-autocast-to-float32 This is no longer necessary, now that layer norm does accumulation in fp32 in pytorch, even if the input is fp16: https://github.com/pytorch/pytorch/issues/66707 Do infernece by casting model to bfloat16, not by using AMP. Do feature preprocessing in float32 for accuracy. Warn if someone tries to input a non-float32 tensor. Always create the output in the type the rest of the model expects. Sort manifests by duration. Signed-off-by: Daniel Galvez <dgalvez@nvidia.com> * Always cast softmax inputs to float32 when in training mode. While we don't need this for accurate results in b/float16, this is a safety precaution to make sure that training accuracy does not regress. 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pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix bug in ConditionalInput: cat along the feature dim, not the batch dim (#7785) Signed-off-by: anferico <f.cariaggi4@gmail.com> * Add some docs and update scripts for ASR (#7790) * Add some docs and update scripts Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Signed-off-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * set context for text memmap to fork (#7784) * set context for text memmap to fork Signed-off-by: arendu <adithyare@nvidia.com> * typo Signed-off-by: arendu 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ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * add config to test Signed-off-by: ericharper <complex451@gmail.com> * get hidden_size from config Signed-off-by: ericharper <complex451@gmail.com> * add try except Signed-off-by: ericharper <complex451@gmail.com> * use default Signed-off-by: ericharper <complex451@gmail.com> * update config with hidden size Signed-off-by: ericharper <complex451@gmail.com> * remove arg Signed-off-by: ericharper <complex451@gmail.com> * comment out jenkins test Signed-off-by: ericharper <complex451@gmail.com> * revert import Signed-off-by: ericharper <complex451@gmail.com> * remove optimizer_idx Signed-off-by: eharper <eharper@nvidia.com> * prefetch num microbatches Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more 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more information, see https://pre-commit.ci * start updating to TransformerConfig Signed-off-by: ericharper <complex451@gmail.com> * revert to model parallel config Signed-off-by: ericharper <complex451@gmail.com> * add hidden_size to model_parallel_config Signed-off-by: ericharper <complex451@gmail.com> * remove imports Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update module args Signed-off-by: ericharper <complex451@gmail.com> * add config to self Signed-off-by: ericharper <complex451@gmail.com> * build transformer config Signed-off-by: ericharper <complex451@gmail.com> * add model to provider func Signed-off-by: ericharper <complex451@gmail.com> * update forward and float16 wrapper Signed-off-by: ericharper <complex451@gmail.com> * instantiate model parallel config after init model parallel Signed-off-by: ericharper <complex451@gmail.com> * set virtual rank Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add GQA config to megatron gpt model (#7096) * Add GQA config in gpt config file Signed-off-by: jasonwan <jasonwan@nvidia.com> * Verify mcore is enabled when using GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert Signed-off-by: ericharper <complex451@gmail.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * rollback model cast for p-tuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * update for dist adam Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use get_gpt_module_list Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update ckpt conversion script Signed-off-by: jasonwan <jasonwan@nvidia.com> * ptl2.0 patch for llama config Signed-off-by: jasonwan <jasonwan@nvidia.com> * add plugins to trainer in scripts Signed-off-by: jasonwan <jasonwan@nvidia.com> * fix activation checkpointing mcore Signed-off-by: jasonwan <jasonwan@nvidia.com> * fix variable names Signed-off-by: jasonwan <jasonwan@nvidia.com> * overwrite normalization type for mcore/te Signed-off-by: jasonwan <jasonwan@nvidia.com> * Update megatron_llama_sft.yaml Signed-off-by: Jason Wang <jasonwan@nvidia.com> * add PEFT adapter support for mcore gpt path (#7276) * implementation for mcore adapter/mxins Signed-off-by: jasonwan <jasonwan@nvidia.com> * small fix for lora and ptuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * support layerwise peft Signed-off-by: jasonwan <jasonwan@nvidia.com> * support multiple target layers Signed-off-by: jasonwan <jasonwan@nvidia.com> * support lora GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> * support amp O2 Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert & more O2 fix Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * lora inject to attention Signed-off-by: jasonwan <jasonwan@nvidia.com> * support …
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* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * compose normalizations for predict and test stages * black * fix normalization in example config * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * removing normalize_source from configs. * typing fixes * fix test data path * fix test dataset * add docstring for ConcatDataModule * format --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
edyoshikun
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* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * always use untrainable head for FCMAE * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * custom head * ddp caching fixes * fix caching when using combined loader * compose normalizations for predict and test stages * black * fix normalization in example config * fix normalization in example config * prefetch more in validation * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * typing fixes * fix test dataset * fix invert transform * add ddp prepare flag for combined data module * remove redundant operations * filter empty detections * pass trainer to underlying data modules in concatenated * hack: add test dataloader for LiveCell dataset * test datasets for livecell and ctmc * fix merge error * fix merge error * fix mAP default for over 100 detections * bump torchmetric * fix combined loader training for virtual staining task * fix non-combined data loader training * add fcmae to graph script * fix type hint * format * add back convolutiuon option for fcmae head --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
edyoshikun
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Jun 12, 2024
* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * compose normalizations for predict and test stages * black * fix normalization in example config * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * removing normalize_source from configs. * typing fixes * fix test data path * fix test dataset * add docstring for ConcatDataModule * format --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
edyoshikun
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Jun 12, 2024
* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * always use untrainable head for FCMAE * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * custom head * ddp caching fixes * fix caching when using combined loader * compose normalizations for predict and test stages * black * fix normalization in example config * fix normalization in example config * prefetch more in validation * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * typing fixes * fix test dataset * fix invert transform * add ddp prepare flag for combined data module * remove redundant operations * filter empty detections * pass trainer to underlying data modules in concatenated * hack: add test dataloader for LiveCell dataset * test datasets for livecell and ctmc * fix merge error * fix merge error * fix mAP default for over 100 detections * bump torchmetric * fix combined loader training for virtual staining task * fix non-combined data loader training * add fcmae to graph script * fix type hint * format * add back convolutiuon option for fcmae head --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
edyoshikun
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Jun 12, 2024
* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * compose normalizations for predict and test stages * black * fix normalization in example config * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * removing normalize_source from configs. * typing fixes * fix test data path * fix test dataset * add docstring for ConcatDataModule * format --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
edyoshikun
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Jun 12, 2024
* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * always use untrainable head for FCMAE * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * custom head * ddp caching fixes * fix caching when using combined loader * compose normalizations for predict and test stages * black * fix normalization in example config * fix normalization in example config * prefetch more in validation * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * typing fixes * fix test dataset * fix invert transform * add ddp prepare flag for combined data module * remove redundant operations * filter empty detections * pass trainer to underlying data modules in concatenated * hack: add test dataloader for LiveCell dataset * test datasets for livecell and ctmc * fix merge error * fix merge error * fix mAP default for over 100 detections * bump torchmetric * fix combined loader training for virtual staining task * fix non-combined data loader training * add fcmae to graph script * fix type hint * format * add back convolutiuon option for fcmae head --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
edyoshikun
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* refactor data loading into its own module * update type annotations * move the logging module out * move old logging into utils * rename tests to match module name * bump torch * draft fcmae encoder * add stem to the encoder * wip: masked stem layernorm * wip: patchify masked features for linear * use mlp from timm * hack: POC training script for FCMAE * fix mask for fitting * remove training script * default architecture * fine-tuning options * fix cli for finetuning * draft combined data module * fix import * manual validation loss reduction * update linting new black version has different rules * update development guide * update type hints * bump iohub * draft ctmc v1 dataset * update tests * move test_data * remove path conversion * configurable normalizations (#68) * inital commit adding the normalization. * adding dataset_statistics to each fov to facilitate the configurable augmentations * fix indentation * ruff * test preprocessing * remove redundant field * cleanup --------- Co-authored-by: Ziwen Liu <ziwen.liu@czbiohub.org> * fix ctmc dataloading * add example ctmc v1 loading script * changing the normalization and augmentations default from None to empty list. * invert intensity transform * concatenated data module * subsample videos * livecell dataset * all sample fields are optional * fix multi-dataloader validation * lint * fixing preprocessing for varying array shapes (i.e aics dataset) * update loading scripts * fix CombineMode * always use untrainable head for FCMAE * move log values to GPU before syncing Lightning-AI/pytorch-lightning#18803 * custom head * ddp caching fixes * fix caching when using combined loader * compose normalizations for predict and test stages * black * fix normalization in example config * fix normalization in example config * prefetch more in validation * fix collate when multi-sample transform is not used * ddp caching fixes * fix caching when using combined loader * typing fixes * fix test dataset * fix invert transform * add ddp prepare flag for combined data module * remove redundant operations * filter empty detections * pass trainer to underlying data modules in concatenated * hack: add test dataloader for LiveCell dataset * test datasets for livecell and ctmc * fix merge error * fix merge error * fix mAP default for over 100 detections * bump torchmetric * fix combined loader training for virtual staining task * fix non-combined data loader training * add fcmae to graph script * fix type hint * format * add back convolutiuon option for fcmae head --------- Co-authored-by: Eduardo Hirata-Miyasaki <edhiratam@gmail.com>
JesusPaz
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Jun 18, 2024
…DIA#9169) * Fixes * Docs fix * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Add support for sharded NeMo manifest files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support megatron_amp_O2 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support heterogeneous sampling rates in non tarred NeMo manifests * migrate to PTL2.0 Signed-off-by: stevehuang52 <heh@nvidia.com> * clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * update manifest util Signed-off-by: stevehuang52 <heh@nvidia.com> * Support multiple tokenizer/parser types, aggregate tokenizers, and custom language fields * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * agg and normal tokenizers actually work * Support weights for NeMo tarred manifests * Temporarily hardcoded pnc stripping/lowercasing * fix * make pnc hack configurable from the config and disabled by default * fix the hack * migrate to ptl2.1 to support multiple dataloaders Signed-off-by: stevehuang52 <heh@nvidia.com> * support encoder overwrite Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update misc Signed-off-by: stevehuang52 <heh@nvidia.com> * fix eval and clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * support add_sep for perception model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix https://github.com/Lightning-AI/pytorch-lightning/issues/18803 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add_bos Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Transformer decoder with conditioning for canary (#8091) * initial commit for multi-task conf-enc transf-dec for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing decoder states caching during training Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Option to limit the number of open streams (#8095) * audio signal support in multi Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update asr evaluator Signed-off-by: stevehuang52 <heh@nvidia.com> * fix from https://github.com/NVIDIA/NeMo/commit/fcc0f9f6ff7947c3c7fba3ed17d8ec8af6391397 and https://github.com/NVIDIA/NeMo/commit/f97c9016e6438ca4174b66bf9c3e248b28197aaa Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * transcribe fn for Canary models (#8110) * improve readability Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * adding context in transcribe function for ConfTransfModels Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * supporting relative paths in transcribe function for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing cuts.sort_by_duration in __getitem__ to maintain manifest order during inference Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * update for eval Signed-off-by: stevehuang52 <heh@nvidia.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * fix bleu Signed-off-by: stevehuang52 <heh@nvidia.com> * fix typo Signed-off-by: stevehuang52 <heh@nvidia.com> * Add missing audio_filepath validation for Canary (#8119) * Add missing audio_filepath validation for Canary * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add default concat_sampling_probabilities Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support lhotse dataset in speechllm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bypass get_iterator_k_split Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * tmp fix Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * try to use fixed batch with megatron Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add batch logging Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support unfrozen llm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Create README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * Update README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * Update README.md Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> * update Signed-off-by: stevehuang52 <heh@nvidia.com> * rename Signed-off-by: stevehuang52 <heh@nvidia.com> * add llama prompt template Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update and refactor Signed-off-by: stevehuang52 <heh@nvidia.com> * support sample alpha Signed-off-by: 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Signed-off-by: Micha Livne <mlivne@nvidia.com> --------- Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Support for flash attention 2.0 (#7063) * Add flash attn 2 Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add FA2 feature Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * Remove debugging Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> Signed-off-by: Cheng-Ping Hsieh <37269846+hsiehjackson@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] 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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * enable fp32 optimizer for output_layer in mcore (#7355) Signed-off-by: lhb8125 <lhb8125@gmail.com> * revert comment (#7368) Signed-off-by: eharper <eharper@nvidia.com> * Update to core 23.08 branch ToT (#7371) Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * upper bounding ptl (#7370) Signed-off-by: eharper <eharper@nvidia.com> * fix pipeline parallel inference (#7367) * fix pp inference Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix for peft tied weights (#7372) Signed-off-by: arendu <adithyare@nvidia.com> * fixed trainer.strategy=auto from None. (#7369) Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * add O2 option in gpt eval (#7358) * add O2 option in eval Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add doc for O2 config Signed-off-by: jasonwan <jasonwan@nvidia.com> * add to llama inference config Signed-off-by: jasonwan <jasonwan@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Move model precision copy (#7336) * move cfg precision set to megatron base model Signed-off-by: Maanu Grover <maanug@nvidia.com> * remove copy from other models Signed-off-by: Maanu Grover <maanug@nvidia.com> * modify attribute not arg Signed-off-by: Maanu Grover <maanug@nvidia.com> * fix gpt model test for ptl 2.0 Signed-off-by: Maanu Grover <maanug@nvidia.com> * rename function and add docstring Signed-off-by: Maanu Grover <maanug@nvidia.com> * replace precision to dtype conditionals with func call Signed-off-by: Maanu Grover <maanug@nvidia.com> * unnecessary function and cfg reset Signed-off-by: Maanu Grover <maanug@nvidia.com> * set default value Signed-off-by: Maanu Grover <maanug@nvidia.com> * fix precision lookup in a few more places Signed-off-by: Maanu Grover <maanug@nvidia.com> * rename mapping function Signed-off-by: Maanu Grover <maanug@nvidia.com> * ununsed import Signed-off-by: Maanu Grover <maanug@nvidia.com> * save torch datatype to model Signed-off-by: Maanu Grover <maanug@nvidia.com> * set weights precision wrt amp o2 Signed-off-by: Maanu Grover <maanug@nvidia.com> * Revert "set weights precision wrt amp o2" This reverts commit 313a4bfe5eb69d771a6d2433898c0685836aef5c. 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Signed-off-by: Tim Moon <tmoon@nvidia.com> * Use distopt support for contiguous buffers with multiple dtypes Signed-off-by: Tim Moon <tmoon@nvidia.com> * Fix typo Signed-off-by: Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Separate distopt buckets for first GPT layer and non-overlapped params Signed-off-by: Tim Moon <tmoon@nvidia.com> * Add distopt logic for int dtypes Signed-off-by: Tim Moon <tmoon@nvidia.com> * Update Apex commit Signed-off-by: Tim Moon <tmoon@nvidia.com> * Remove unused variables Signed-off-by: Tim Moon <tmoon@nvidia.com> * Update Apex commit in README and Jenkensfile Signed-off-by: Tim Moon <tmoon@nvidia.com> * Debug Dockerfile and Jenkinsfile Signed-off-by: Tim Moon <tmoon@nvidia.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * 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pre-commit.com hooks for more information, see https://pre-commit.ci * Add support for auto extracting tokenizer model Signed-off-by: smajumdar <titu1994@gmail.com> * Fix issue with missing tokenizer Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update save_to and restore_from for dist checkpointing (#7343) * add dist ckpt to save to, in progress Signed-off-by: eharper <eharper@nvidia.com> * move dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * clean up Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update restore from, need to figure out how to initialize distributed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * launch distrib if needed when restoring dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * when using mcore we can change tp pp on the fly Signed-off-by: eharper <eharper@nvidia.com> * add load_from_checkpoint support for dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update llama convert script to save dist .nemo Signed-off-by: eharper <eharper@nvidia.com> * fix load dist ckpt Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup TE TP groups if needed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup te tp groups if needed Signed-off-by: eharper <eharper@nvidia.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> --------- Signed-off-by: eharper <eharper@nvidia.com> Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: jasonwan <jasonwan@nvidia.com> * fix forward for with mcore=false (#7403) Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com> Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com> * Fix logging to remove 's/it' from progress bar in Megatron models and add train_step_timing (#7374) * Add CustomProgressBar class to exp_manager and trainer callbacks Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix the progres…
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…rategy (NVIDIA#9387) * Integrating mcore's DistributedDataParallel into MegatronStrategy Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply isort and black reformatting Signed-off-by: marcromeyn <marcromeyn@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply ddp-hooks from pytorch only when needed Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * bugfix if using mcore distOpt with sft (#9356) * bugfix if using mcore distOpt Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> * Apply isort and black reformatting Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> --------- Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> Co-authored-by: akoumpa <akoumpa@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * fix typo infer_seq_lenght -> infer_seq_length (#9370) Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Co-authored-by: Marc Romeyn <mromeijn@nvidia.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Rachitg/ag (#9083) * Rachitg/ag (#9081) * disable overlap for qkv Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * bug fix * bugfix --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: michal2409 <michal2409@users.noreply.github.com> --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Signed-off-by: michal2409 <michal2409@users.noreply.github.com> Co-authored-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Michal Futrega <mfutrega@nvidia.com> Co-authored-by: michal2409 <michal2409@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Adding the original change made for label_models (#9377) (#9378) Signed-off-by: Taejin Park <tango4j@gmail.com> Co-authored-by: Taejin Park <tango4j@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Dgalvez/fix greedy batch strategy name r2.0.0rc0 (#9243) (#9253) * Lazily warn about using greedy strategy instead of greedy_batch strategy. Previously, the warning would often run spuriously, since several existing code paths simply call "change_decoding_strategy()" after having first initialized a Module, rather than changing the config before initializing the Module. This can be confusing. The only problem I can see with this is that using logging inside a forward() method might interfere with some compiler toolkits like Torchscript or thunder.compile. Presumably it would be easy to add a conditional statement to avoid this statement in a compiler context if necessary. Signed-off-by: Daniel Galvez <dgalvez@nvidia.com> Co-authored-by: Daniel Galvez <galv@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Update README.rst (#9393) Revised content per https://gitlab-master.nvidia.com/nemo-framework-tme/documentation/-/issues/25. Also removed reference to NIMs in LLMs and MMs Deployment and Optimization. It should be NVIDIA NeMo Microservices and not NIM. Removed nemo:24.03.framework and nemo:24.01.speech in Docker Containers section and replaced with 24.05 . Please verify all changes. Signed-off-by: jgerh <163925524+jgerh@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * a2a fix removed tp world size and group from init (#8944) (#8952) Signed-off-by: Anmol Gupta <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: anmolgupt <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Add config option for FP32 embedding grads (#8953) * Add config option for FP32 embedding grads (#8946) Signed-off-by: Tim Moon <tmoon@nvidia.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Changes to enable CUDA graph for LLM (#8955) * Changes to enable CUDA graph for LLM (#8751) * Use next instead of get_batch Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * CUDA graph changes Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change to enable CG with weight caching Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Use next instead of get_batch" This reverts commit 0021bb444cdd1b27674fc0cfea909c1a42475336. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py" This reverts commit b4f736ed2b39f6c48d2868ac3febb82c763ab3fb. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Remove skip_weight_update argument Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Bug fix + cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Use new TE API for FP8 Param transpose Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change config param cuda_graph to enable_cuda_graph Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Enable TE RNGStatesTracker through config Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change te_rng_tracker to use_te_rng_tracker Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * FP8 weight transpose handled inside TE Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py"" This reverts commit e31862481216f9adf7fa584a0c0262916c935639. 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GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> * support amp O2 Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert & more O2 fix Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * lora inject to attention Signed-off-by: jasonwan <jasonwan@nvidia.com> * support …
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…DIA#9169) * Fixes * Docs fix * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * Add support for custom NeMo fields in Lhotse-NeMo adapters (attach to cut.custom) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support distributed_fused_adam Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Add support for sharded NeMo manifest files * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * support megatron_amp_O2 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Support heterogeneous sampling rates in non tarred NeMo manifests * migrate to PTL2.0 Signed-off-by: stevehuang52 <heh@nvidia.com> * clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * update manifest util Signed-off-by: stevehuang52 <heh@nvidia.com> * Support multiple tokenizer/parser types, aggregate tokenizers, and custom language fields * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * agg and normal tokenizers actually work * Support weights for NeMo tarred manifests * Temporarily hardcoded pnc stripping/lowercasing * fix * make pnc hack configurable from the config and disabled by default * fix the hack * migrate to ptl2.1 to support multiple dataloaders Signed-off-by: stevehuang52 <heh@nvidia.com> * support encoder overwrite Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update misc Signed-off-by: stevehuang52 <heh@nvidia.com> * fix eval and clean up Signed-off-by: stevehuang52 <heh@nvidia.com> * support add_sep for perception model Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * fix https://github.com/Lightning-AI/pytorch-lightning/issues/18803 Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * add_bos Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * Transformer decoder with conditioning for canary (#8091) * initial commit for multi-task conf-enc transf-dec for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing decoder states caching during training Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Option to limit the number of open streams (#8095) * audio signal support in multi Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * update asr evaluator Signed-off-by: stevehuang52 <heh@nvidia.com> * fix from https://github.com/NVIDIA/NeMo/commit/fcc0f9f6ff7947c3c7fba3ed17d8ec8af6391397 and https://github.com/NVIDIA/NeMo/commit/f97c9016e6438ca4174b66bf9c3e248b28197aaa Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * transcribe fn for Canary models (#8110) * improve readability Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * adding context in transcribe function for ConfTransfModels Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * supporting relative paths in transcribe function for canary Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * removing cuts.sort_by_duration in __getitem__ to maintain manifest order during inference Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: Krishna Puvvada <kpuvvada@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * update for eval Signed-off-by: stevehuang52 <heh@nvidia.com> * update for evaluation Signed-off-by: stevehuang52 <heh@nvidia.com> * fix bleu Signed-off-by: stevehuang52 <heh@nvidia.com> * fix typo Signed-off-by: stevehuang52 <heh@nvidia.com> * Add missing audio_filepath validation for Canary (#8119) * Add missing audio_filepath validation for Canary * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * add default concat_sampling_probabilities Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * support lhotse dataset in speechllm Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com> * bypass 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pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Chen Cui <chcui@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix bug in ConditionalInput: cat along the feature dim, not the batch dim (#7785) Signed-off-by: anferico <f.cariaggi4@gmail.com> * Add some docs and update scripts for ASR (#7790) * Add some docs and update scripts Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Signed-off-by: Somshubra Majumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * set context for text memmap to fork (#7784) * set context for text memmap to fork Signed-off-by: arendu <adithyare@nvidia.com> * typo Signed-off-by: arendu 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Signed-off-by: Micha Livne <mlivne@nvidia.com> --------- Signed-off-by: Micha Livne <mlivne@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Support for flash attention 2.0 (#7063) * Add flash attn 2 Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add FA2 feature Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * Remove debugging Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca> Signed-off-by: Cheng-Ping Hsieh <chsieh@nvidia.com> Signed-off-by: Cheng-Ping Hsieh <37269846+hsiehjackson@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] 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Signed-off-by: arendu <adithyare@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update Signed-off-by: arendu <adithyare@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: arendu <adithyare@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fix typos (#7361) * fix typos Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix typo Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix typos Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix typos Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix typo Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix typos Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix typo Signed-off-by: omahs <73983677+omahs@users.noreply.github.com> * fix 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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * enable fp32 optimizer for output_layer in mcore (#7355) Signed-off-by: lhb8125 <lhb8125@gmail.com> * revert comment (#7368) Signed-off-by: eharper <eharper@nvidia.com> * Update to core 23.08 branch ToT (#7371) Signed-off-by: Abhinav Khattar <aklife97@gmail.com> * upper bounding ptl (#7370) Signed-off-by: eharper <eharper@nvidia.com> * fix pipeline parallel inference (#7367) * fix pp inference Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * fix for peft tied weights (#7372) Signed-off-by: arendu <adithyare@nvidia.com> * fixed trainer.strategy=auto from None. (#7369) Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com> * add O2 option in gpt eval (#7358) * add O2 option in eval Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add doc for O2 config Signed-off-by: jasonwan <jasonwan@nvidia.com> * add to llama inference config Signed-off-by: jasonwan <jasonwan@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Move model precision copy (#7336) * move cfg precision set to megatron base model Signed-off-by: Maanu Grover <maanug@nvidia.com> * remove copy from other models Signed-off-by: Maanu Grover <maanug@nvidia.com> * modify attribute not arg Signed-off-by: Maanu Grover <maanug@nvidia.com> * fix gpt model test for ptl 2.0 Signed-off-by: Maanu Grover <maanug@nvidia.com> * rename function and add docstring Signed-off-by: Maanu Grover <maanug@nvidia.com> * replace precision to dtype conditionals with func call Signed-off-by: Maanu Grover <maanug@nvidia.com> * unnecessary function and cfg reset Signed-off-by: Maanu Grover <maanug@nvidia.com> * set default value Signed-off-by: Maanu Grover <maanug@nvidia.com> * fix precision lookup in a few more places Signed-off-by: Maanu Grover <maanug@nvidia.com> * rename mapping function Signed-off-by: Maanu Grover <maanug@nvidia.com> * ununsed import Signed-off-by: Maanu Grover <maanug@nvidia.com> * save torch datatype to model Signed-off-by: Maanu Grover <maanug@nvidia.com> * set weights precision wrt amp o2 Signed-off-by: Maanu Grover <maanug@nvidia.com> * Revert "set weights precision wrt amp o2" This reverts commit 313a4bfe5eb69d771a6d2433898c0685836aef5c. 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Signed-off-by: Tim Moon <tmoon@nvidia.com> * Use distopt support for contiguous buffers with multiple dtypes Signed-off-by: Tim Moon <tmoon@nvidia.com> * Fix typo Signed-off-by: Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Separate distopt buckets for first GPT layer and non-overlapped params Signed-off-by: Tim Moon <tmoon@nvidia.com> * Add distopt logic for int dtypes Signed-off-by: Tim Moon <tmoon@nvidia.com> * Update Apex commit Signed-off-by: Tim Moon <tmoon@nvidia.com> * Remove unused variables Signed-off-by: Tim Moon <tmoon@nvidia.com> * Update Apex commit in README and Jenkensfile Signed-off-by: Tim Moon <tmoon@nvidia.com> * Debug Dockerfile and Jenkinsfile Signed-off-by: Tim Moon <tmoon@nvidia.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> * minor fix for llama ckpt conversion script (#7387) * minor fix for llama ckpt conversion script Signed-off-by: Jason Wang <jasonwan@nvidia.com> * Update Jenkinsfile Signed-off-by: Jason Wang <jasonwan@nvidia.com> * remove fast_swiglu configuration Signed-off-by: Jason Wang <jasonwan@nvidia.com> --------- Signed-off-by: Jason Wang <jasonwan@nvidia.com> Co-authored-by: Eric Harper <complex451@gmail.com> * Fix wrong calling of librosa.get_duration() in notebook (#7376) Signed-off-by: Robin Dong <robin.k.dong@gmail.com> Co-authored-by: Somshubra Majumdar <titu1994@gmail.com> * [PATCH] PEFT import mcore (#7393) * [PATCH] PEFT import mcore Signed-off-by: Jason Wang <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Jason Wang <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * [TTS] Added a callback for logging initial data (#7384) 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pre-commit.com hooks for more information, see https://pre-commit.ci * Add support for auto extracting tokenizer model Signed-off-by: smajumdar <titu1994@gmail.com> * Fix issue with missing tokenizer Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * Refactor Signed-off-by: smajumdar <titu1994@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: smajumdar <titu1994@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update save_to and restore_from for dist checkpointing (#7343) * add dist ckpt to save to, in progress Signed-off-by: eharper <eharper@nvidia.com> * move dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * clean up Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update restore from, need to figure out how to initialize distributed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * launch distrib if needed when restoring dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * when using mcore we can change tp pp on the fly Signed-off-by: eharper <eharper@nvidia.com> * add load_from_checkpoint support for dist ckpt Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update llama convert script to save dist .nemo Signed-off-by: eharper <eharper@nvidia.com> * fix load dist ckpt Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup TE TP groups if needed Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * setup te tp groups if needed Signed-off-by: eharper <eharper@nvidia.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> --------- Signed-off-by: eharper <eharper@nvidia.com> Signed-off-by: jasonwan <jasonwan@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: jasonwan <jasonwan@nvidia.com> * fix forward for with mcore=false (#7403) Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com> Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com> * Fix logging to remove 's/it' from progress bar in Megatron models and add train_step_timing (#7374) * Add CustomProgressBar class to exp_manager and trainer callbacks Signed-off-by: Abhishree <abhishreetm@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix the progres…
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…rategy (NVIDIA#9387) * Integrating mcore's DistributedDataParallel into MegatronStrategy Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply isort and black reformatting Signed-off-by: marcromeyn <marcromeyn@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Apply ddp-hooks from pytorch only when needed Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * bugfix if using mcore distOpt with sft (#9356) * bugfix if using mcore distOpt Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> * Apply isort and black reformatting Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> --------- Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Signed-off-by: akoumpa <akoumpa@users.noreply.github.com> Co-authored-by: akoumpa <akoumpa@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * fix typo infer_seq_lenght -> infer_seq_length (#9370) Signed-off-by: Alexandros Koumparoulis <akoumparouli@nvidia.com> Co-authored-by: Marc Romeyn <mromeijn@nvidia.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Rachitg/ag (#9083) * Rachitg/ag (#9081) * disable overlap for qkv Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * bug fix * bugfix --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: michal2409 <michal2409@users.noreply.github.com> --------- Signed-off-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Signed-off-by: Rachit Garg <rachitgarg91@gmail.com> Signed-off-by: michal2409 <michal2409@users.noreply.github.com> Co-authored-by: Rachit Garg <rachitgarg91@gmail.com> Co-authored-by: Rachit Garg <rachitg@login-eos01.eos.clusters.nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Michal Futrega <mfutrega@nvidia.com> Co-authored-by: michal2409 <michal2409@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Adding the original change made for label_models (#9377) (#9378) Signed-off-by: Taejin Park <tango4j@gmail.com> Co-authored-by: Taejin Park <tango4j@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Dgalvez/fix greedy batch strategy name r2.0.0rc0 (#9243) (#9253) * Lazily warn about using greedy strategy instead of greedy_batch strategy. Previously, the warning would often run spuriously, since several existing code paths simply call "change_decoding_strategy()" after having first initialized a Module, rather than changing the config before initializing the Module. This can be confusing. The only problem I can see with this is that using logging inside a forward() method might interfere with some compiler toolkits like Torchscript or thunder.compile. Presumably it would be easy to add a conditional statement to avoid this statement in a compiler context if necessary. Signed-off-by: Daniel Galvez <dgalvez@nvidia.com> Co-authored-by: Daniel Galvez <galv@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Update README.rst (#9393) Revised content per https://gitlab-master.nvidia.com/nemo-framework-tme/documentation/-/issues/25. Also removed reference to NIMs in LLMs and MMs Deployment and Optimization. It should be NVIDIA NeMo Microservices and not NIM. Removed nemo:24.03.framework and nemo:24.01.speech in Docker Containers section and replaced with 24.05 . Please verify all changes. Signed-off-by: jgerh <163925524+jgerh@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * a2a fix removed tp world size and group from init (#8944) (#8952) Signed-off-by: Anmol Gupta <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: anmolgupt <14880251+anmolgupt@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Add config option for FP32 embedding grads (#8953) * Add config option for FP32 embedding grads (#8946) Signed-off-by: Tim Moon <tmoon@nvidia.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Tim Moon <tmoon@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Changes to enable CUDA graph for LLM (#8955) * Changes to enable CUDA graph for LLM (#8751) * Use next instead of get_batch Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * CUDA graph changes Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change to enable CG with weight caching Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Use next instead of get_batch" This reverts commit 0021bb444cdd1b27674fc0cfea909c1a42475336. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py" This reverts commit b4f736ed2b39f6c48d2868ac3febb82c763ab3fb. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Remove skip_weight_update argument Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Bug fix + cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Use new TE API for FP8 Param transpose Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change config param cuda_graph to enable_cuda_graph Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Enable TE RNGStatesTracker through config Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Change te_rng_tracker to use_te_rng_tracker Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * FP8 weight transpose handled inside TE Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Cleanup Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Revert "Revert "Copy jbaczek/mcore_parallel_state_api_change branch leaving out changes to nemo/export/quantize/quantizer.py"" This reverts commit e31862481216f9adf7fa584a0c0262916c935639. Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> * Fix merge conflicts Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> --------- Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: Jaemin Choi <jaeminc@nvidia.com> Co-authored-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Apply isort and black reformatting Signed-off-by: ericharper <ericharper@users.noreply.github.com> --------- Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by: Jan Baczek <jbaczek@nvidia.com> Signed-off-by: ericharper <ericharper@users.noreply.github.com> Co-authored-by: vasunvidia <108759426+vasunvidia@users.noreply.github.com> Co-authored-by: Jaemin Choi <jaeminc@nvidia.com> Co-authored-by: Jan Baczek <jbaczek@nvidia.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Harper <complex451@gmail.com> Co-authored-by: ericharper <ericharper@users.noreply.github.com> Signed-off-by: Marc Romeyn <mromeijn@nvidia.com> * Enhance Distributed Adam (#9051) * Enhance Distributed Adam (#9037) * Fix deprecated env. 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Fixing indentation bug. 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<complex451@gmail.com> * revert to model parallel config Signed-off-by: ericharper <complex451@gmail.com> * add hidden_size to model_parallel_config Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove imports Signed-off-by: ericharper <complex451@gmail.com> * revert Signed-off-by: ericharper <complex451@gmail.com> * remove import Signed-off-by: ericharper <complex451@gmail.com> * small clean up Signed-off-by: ericharper <complex451@gmail.com> * update hidden size in peft base model, add mcore commit to jenkins Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update module args Signed-off-by: ericharper <complex451@gmail.com> * add config obj to flash attention tests Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove args Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove sequence parallel arg Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * add config to self Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * add config to test Signed-off-by: ericharper <complex451@gmail.com> * get hidden_size from config Signed-off-by: ericharper <complex451@gmail.com> * add try except Signed-off-by: ericharper <complex451@gmail.com> * use default Signed-off-by: ericharper <complex451@gmail.com> * update config with hidden size Signed-off-by: ericharper <complex451@gmail.com> * remove arg Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * comment out jenkins test Signed-off-by: ericharper <complex451@gmail.com> * revert import Signed-off-by: ericharper <complex451@gmail.com> * build transformer config Signed-off-by: ericharper <complex451@gmail.com> * add model to provider func Signed-off-by: ericharper <complex451@gmail.com> * update forward and float16 wrapper Signed-off-by: ericharper <complex451@gmail.com> * instantiate model parallel config after init model parallel Signed-off-by: ericharper <complex451@gmail.com> * set virtual rank Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add GQA config to megatron gpt model (#7096) * Add GQA config in gpt config file Signed-off-by: jasonwan <jasonwan@nvidia.com> * Verify mcore is enabled when using GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert Signed-off-by: ericharper <complex451@gmail.com> * mcore llama2 ckpt conversion & small fix Signed-off-by: jasonwan <jasonwan@nvidia.com> * Add inference & sft config by Hongbin Co-authored-by: Hongbin Liu <hongbinl@nvidia.com> Signed-off-by: jasonwan <jasonwan@nvidia.com> * fix config Signed-off-by: jasonwan <jasonwan@nvidia.com> * add inference param. update TP/PP script to support mcore gpt Signed-off-by: jasonwan <jasonwan@nvidia.com> * p-tuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * modify ckpt conversion script (adding model cast) Signed-off-by: jasonwan <jasonwan@nvidia.com> * ckpt conversion use relative path for config Signed-off-by: jasonwan <jasonwan@nvidia.com> * start adding gpt from megatron core path Signed-off-by: ericharper <complex451@gmail.com> * set model parallel config Signed-off-by: ericharper <complex451@gmail.com> * use model parallel config object Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * set vp size to none if it is 1 Signed-off-by: ericharper <complex451@gmail.com> * set vp size to none if it is 1 Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add TransformerConfig Signed-off-by: ericharper <complex451@gmail.com> * start updating to TransformerConfig Signed-off-by: ericharper <complex451@gmail.com> * add todo Signed-off-by: ericharper <complex451@gmail.com> * revert to model parallel config Signed-off-by: ericharper <complex451@gmail.com> * add hidden_size to model_parallel_config Signed-off-by: ericharper <complex451@gmail.com> * remove imports Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove import Signed-off-by: ericharper <complex451@gmail.com> * small clean up Signed-off-by: ericharper <complex451@gmail.com> * update hidden size in peft base model, add mcore commit to jenkins Signed-off-by: ericharper <complex451@gmail.com> * update module args Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add config obj to flash attention tests Signed-off-by: ericharper <complex451@gmail.com> * remove args Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove sequence parallel arg Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update args Signed-off-by: ericharper <complex451@gmail.com> * add config to self Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * add config to test Signed-off-by: ericharper <complex451@gmail.com> * get hidden_size from config Signed-off-by: ericharper <complex451@gmail.com> * add try except Signed-off-by: ericharper <complex451@gmail.com> * use default Signed-off-by: ericharper <complex451@gmail.com> * update config with hidden size Signed-off-by: ericharper <complex451@gmail.com> * remove arg Signed-off-by: ericharper <complex451@gmail.com> * comment out jenkins test Signed-off-by: ericharper <complex451@gmail.com> * revert import Signed-off-by: ericharper <complex451@gmail.com> * remove optimizer_idx Signed-off-by: eharper <eharper@nvidia.com> * prefetch num microbatches Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * start adding gpt from megatron core path Signed-off-by: ericharper <complex451@gmail.com> * set model parallel config Signed-off-by: ericharper <complex451@gmail.com> * use model parallel config object Signed-off-by: ericharper <complex451@gmail.com> * update args Signed-off-by: ericharper <complex451@gmail.com> * fix for p-tuning sequence parallel Signed-off-by: jasonwan <jasonwan@nvidia.com> * support SFT/distOpt mcore (#7207) * add inference param. update TP/PP script to support mcore gpt * p-tuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * change layer names for SFT Signed-off-by: Hongbin Liu <hongbinl@nvidia.com> * fix bug in SFT Signed-off-by: Hongbin Liu <hongbinl@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> Signed-off-by: Hongbin Liu <hongbinl@nvidia.com> Co-authored-by: Hongbin Liu <hongbinl@nvidia.com> Co-authored-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * start updating to TransformerConfig Signed-off-by: ericharper <complex451@gmail.com> * revert to model parallel config Signed-off-by: ericharper <complex451@gmail.com> * add hidden_size to model_parallel_config Signed-off-by: ericharper <complex451@gmail.com> * remove imports Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update module args Signed-off-by: ericharper <complex451@gmail.com> * add config to self Signed-off-by: ericharper <complex451@gmail.com> * build transformer config Signed-off-by: ericharper <complex451@gmail.com> * add model to provider func Signed-off-by: ericharper <complex451@gmail.com> * update forward and float16 wrapper Signed-off-by: ericharper <complex451@gmail.com> * instantiate model parallel config after init model parallel Signed-off-by: ericharper <complex451@gmail.com> * set virtual rank Signed-off-by: ericharper <complex451@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add GQA config to megatron gpt model (#7096) * Add GQA config in gpt config file Signed-off-by: jasonwan <jasonwan@nvidia.com> * Verify mcore is enabled when using GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> --------- Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert Signed-off-by: ericharper <complex451@gmail.com> * remove import Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * rollback model cast for p-tuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * update for dist adam Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use get_gpt_module_list Signed-off-by: eharper <eharper@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update ckpt conversion script Signed-off-by: jasonwan <jasonwan@nvidia.com> * ptl2.0 patch for llama config Signed-off-by: jasonwan <jasonwan@nvidia.com> * add plugins to trainer in scripts Signed-off-by: jasonwan <jasonwan@nvidia.com> * fix activation checkpointing mcore Signed-off-by: jasonwan <jasonwan@nvidia.com> * fix variable names Signed-off-by: jasonwan <jasonwan@nvidia.com> * overwrite normalization type for mcore/te Signed-off-by: jasonwan <jasonwan@nvidia.com> * Update megatron_llama_sft.yaml Signed-off-by: Jason Wang <jasonwan@nvidia.com> * add PEFT adapter support for mcore gpt path (#7276) * implementation for mcore adapter/mxins Signed-off-by: jasonwan <jasonwan@nvidia.com> * small fix for lora and ptuning Signed-off-by: jasonwan <jasonwan@nvidia.com> * support layerwise peft Signed-off-by: jasonwan <jasonwan@nvidia.com> * support multiple target layers Signed-off-by: jasonwan <jasonwan@nvidia.com> * support lora GQA Signed-off-by: jasonwan <jasonwan@nvidia.com> * support amp O2 Signed-off-by: jasonwan <jasonwan@nvidia.com> * revert & more O2 fix Signed-off-by: jasonwan <jasonwan@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * lora inject to attention Signed-off-by: jasonwan <jasonwan@nvidia.com> * support …
For me, I also saw this on import lightning
import torch
import torchmetrics
from torch import nn
fabric = lightning.Fabric(accelerator="cuda", devices=2)
fabric.launch()
module = nn.Linear(2, 1)
module = fabric.setup(module)
metric = torchmetrics.Accuracy(task="multiclass", num_classes=2)
metric.update(torch.tensor([0., 1.]), torch.tensor([0, 1]))
metric.compute() |
This is the only thing that works to date, is there any update from the lightning devs to when this issue would be properly resolved else we will be tied to that version forever. |
drewnutt
added a commit
to abhinadduri/panspecies-dti
that referenced
this issue
Aug 30, 2024
Had to rollback lightning due to this issue: Lightning-AI/pytorch-lightning#18803 Now uses the `exp-id` to save the best model checkpoint (also fixed DDP issues with saving to wandb). Removed `device` from model call.
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I was having the same error message when using For me it worked adding the following three kwargs when the metric was initialized:
All three arguments are needed to solve it in my case. My code now looks like: |
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@Holer90 This also "fixes" the issue for me. Thank you for posting it. Do you have any intuition on why these kwargs fix the issue? |
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It would be nice if the error message revealed which metric was the problem. |
This should be because of a bug in the documentation of |
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Bug description
On upgrading torch and lightning to both 2.1.0, and running DDP leads to the following error trace,
On downgrading lightning to
2.0.1, the error goes away.What version are you seeing the problem on?
master
How to reproduce the bug
No response
Error messages and logs
Environment
Current environment
More info
No response
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