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fix syntax error introduced in PR-7079 #7102

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merged 2 commits into from
Jul 25, 2023

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What does this PR do ?

Fix quotes causing syntax error in notebook json

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  • Add specific line by line info of high level changes in this PR.

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Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>
@github-actions github-actions bot added the NLP label Jul 24, 2023
ekmb
ekmb previously approved these changes Jul 24, 2023
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fayejf commented Jul 24, 2023

please use single quote instead double for branch name so people could update the easily.
how about the 3. Failed to say abbreviations in nvbug? Is it expected?

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>
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@fayejf , I replaced quotes to single
Abbreviations mispronouncing is expected, I added a note about that to the tex below that cell.

@ekmb ekmb merged commit 5807931 into NVIDIA:r1.20.0 Jul 25, 2023
github-actions bot pushed a commit that referenced this pull request Jul 25, 2023
* fix syntax error introduced in PR-7079

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

* fixes for pr review

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

---------

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>
ericharper pushed a commit that referenced this pull request Aug 4, 2023
* fix syntax error introduced in PR-7079

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

* fixes for pr review

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

---------

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>
tango4j added a commit that referenced this pull request Aug 5, 2023
* update package info

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jubick1337 pushed a commit that referenced this pull request Aug 8, 2023
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* [Fix] load_state_dict in nlp_model.py (#7086)

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Fix plot function in vad_utils.py

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This reverts commit a46e325.

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* Add updated fc ctc and rnnt xxl models (#7128) (#7130)

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---------

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Co-authored-by: Taejin Park <tango4j@gmail.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Signed-off-by: jubick1337 <mattyson.so@gmail.com>

* Upgrade to pytorch lightning 2.0 (#6433)

* Upgrade pytorch lightning version in requirements

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Initial fixes for PTL2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add further fixes to support lightning 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add replacements for replace_sampler_ddp, resume_from_checkpoint_fit_path and few occurances of validation_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace all occurances of validation_epoch_end to on_validation_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace training_epoch_end, test_epoch_end with on_train_epoch_end and on_test_epoch_end respectively

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Change logger=None to logger=False in Trainer object

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove PTL2.0 deprecated Trainer args from TrainerConfig dataclass

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify trainer.precision check and other small edits

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace logger=None with logger=False in test_ptl_stateless_timer.py Trainer

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add default values for args to fix Attribute Error

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add the following modifications

1) Remove outputs arg from on_validation_epoch_end, on_test_epoch_end and make it an arg of the class
2) Replace resume_from_checkpoint with ckpt_path as needed
3) Explicitly add accelerator as 'CPU' in UTs being run on CPU

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg from on_validation_epoch_end, on_test_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg in on_validation_epoch_end in MultiBinaryAccuracy docstrings

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val, test outputs as instance vars in PunctuationCapitalizationModel and TokenClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace trainer.fit_loop.max_steps with trainer.fit_loop.epoch_loop.max_steps in test_optimizers_schedulers.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Revert an extra space that was mistakenly added

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Use self.validation_step_outputs and self.test_step_outputs in test_ema.py for uniformity

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Use self.validation_step_outputs and self.test_step_outputs in test_ptl_stateless_timer.py and check_for_ranks.py for uniformity

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add self.validation_step_outputs.clear() and self.test_step_outputs.clear() wherever missing

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg from on_train_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs from on_validation_epoch_end in multi_binary_acc.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove output args from on_validation_epoch_end in the docstrings of some ASR files

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove output args from on_validation_epoch_end and clear memory from validation_step_outputs

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add on_validation_epoch_end and remove outputs args for nlp models

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Append output of validation_step to validation_step_outputs in EncDecClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add the following changes

1) Index self.validation_step_outputs and self.test_step.outputs with dataloader_idx wherever needed
2) Initialize self.validation_step_outputs and self.test_step.outputs as empty lists and add support for multi dataloaders if they exist
3) Remove self.pre_configure_ddp from NLPDDPStrategy class as its removed in PTL 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add default value dataloader_idx=0 for on_validation_batch_end() in megatron_base_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* TypeCast precision to str in attention.py and utils_funcs.py to avoid TypeError

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add if condition check for multiple dataloaders when appending to validation outputs

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Separate validation pass to be used with both validation_step and test_step

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add if condition check for multiple dataloader while appending to test_step_outputs in punctuation_capitalization_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add condition check for multiple dataloaders based on type of trainer.val/test_dataloaders or self._validation/test_dl instead of len

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Comment Megatron T5 IA3 PP=2 in CI pipeline due to dataloader_iter issue with PTL 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify precision checks to account for 16-mixed and bf16-mixed

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Append output of validation/test_step to self.validation/test_step_outputs in CTCG2PModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify find_unused_parameters=True in g2p_heteronym model

1) Add find_unused_parameters=True for DDP strategy in g2p_heteronym_classification_train_and_evaluate.py
2) Remove args output in validation/test_step and add instance variables instead for heteronym_classification.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs from on_test_epoch_end in DialogueGPTClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add validation/test outputs in sgdqa_model and modify dialogue_config.yaml

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add split arg self.test_step_outputs to TextClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add test_step_outputs to dialogue and text classification models

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Change condition check for multiple dataloaders:

1) Replace ds_item as list in dialogue_config.yaml
2) Check for len of val/test_dataloaders or validation/test_dl along with type check of list in sgdqa_model.py while appending outputs of validation/test_step
3) Check for len of _validation/test_dl for creating self.validation/test_step_outputs in ModelPT and punctuation_cpitalization_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add additional condition for multi dataloaders

Check len(self.trainer.val/test_dataloaders) > 1 along with type(self.trainer.val/test_dataloaders) == list for multi dataloaders in validation/test_step

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val step outputs and default val for dataloader_idx

1) Append validation_step outout to self.validation_step_outputs in MultiLabelIntentSlotClassificationMode
2) Add default val for dataloader_idx for on_test_batch_start/end in TimingCallback
3) Add self.validation/test_step_outputs in BERTQAModel and remove outputs arg

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val/test_step_outputs to S2SQAModel and GPTQAModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Edit JenkinsFile for bert_pretrainig.py

Edit Jenkinsfile for this test to disable validation as a workaround for trainer.val_dataloader None error

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify precision to support 16-mixed, bf16-mixed in megatron_gpt_pretraining.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add ddp_find_unused_parameters_true and remove output args

1) Add ddp_find_unused_parameters_true fro trainer.strategy in self_alignment_pretraining.py as it has unused parameters
2) Remove output args and add self.validation/test_step_outputs to validation/test_step in mt_enc_dec_model.py
3) Comment tests in JenkinsFile that need to be fixed

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix in megatron_nmt_training.py for 16-mixed, bf16-mixed

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix for megatron_bert_pretraining.py and megatron_bert_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix and validation/test_step_outputs

1) Add fix to account for 16-mixed and bf16-mixed in megatron_retro_mutransfer_pretrain.py, megatron_retro_pretraining.py
2) Reset ckpt_path for test in enc_dec_nmt.py
3) Remove outputs args and add validation/test_step_outputs in megatron_retrieval_model.py
4) Comment Megatron Bert Pretraining and Resume Training with Pipeline Paralleism and add back NMT Training Post-LN

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix and skip few failing tests

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add missing comment lines in JenkinsFile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Comment jenkin tests and super().on_validation_epoch_end() in megatron_gpt_sft_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Minor edit JenkinsFile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Minor edit in jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Edit in Jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Comment missed lines in Jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Fix precision and validation/test outputs

1) Add precision fix to account for 16-mixed and bf16-mixed in megatron_t5_pretraining.py
2) Remove outputs args and add append loss to self.validation/test_step_outputs in megatron_lm_encoder_decoder_model.py
3) Add back resume_from_checkpoint in the megatron_t5_config.yaml
4) Comment out certain tests in Jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Fix precision and validation/test/predict errors in megatron_t5_prompt_learning.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix and edit precision typo in all files

1) Account for 16-mixed and bf16-mixed in megatron_bart_pretraining.py and megatron_t5_seq2seq_finetune.py
2) Fix precision typo in all files

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Fix all CI TTS tests and comment few Jenkins tests

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Combine xx_epoch_end and on_xx_epoch_end

Add on_inference_epoch_end to inference_epoch_end function and have a single on_validation/test_epoch_end in megatron_finetune_model.py and megatron_gpt_sft_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add a missing comment in JenkinsFile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add try except StopIteration in validation_step for models with dataloader_iter

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove pyyaml from requirements

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add try except for inference_step in megatron_finetune_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove limit_val_batches for mockGPTDataset test

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add new self.validation_step_outputs for MegatronGPTSFTModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Minor edit Jenkinsfile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Initialize self.validation/test_step_outputs in megatron_gpt_sft_model.py

Initialize self.validation/test_step_outputs in setup of MegatronGPTSFTModel to take care of cases when datalaoders are not setup in ModelPT for example while restoring the model.

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove resume_from_checkpoint if trainer arg in conf yaml files

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove resume_from_checkpoint as trainer arg in GPT, T5 configs

Signed-off-by: Abhishree <abhishreetm@gmai…
zhehuaichen added a commit to zhehuaichen/NeMo that referenced this pull request Sep 22, 2023
* Fixed small bug with NoisePerturbationWithNormalization (#7118)

Signed-off-by: Daniel Egert <degert@nvidia.com>

* Fix import guard checks (#7124)

Signed-off-by: smajumdar <titu1994@gmail.com>

* Revert "Fix import guard checks (#7124)" (#7125)

This reverts commit a46e3251944642f9102aa16ce2d2f9d3a804ff8a.

* Fix import guard checks (#7126)

* Fix import guard checks

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>

* Add updated fc ctc and rnnt xxl models (#7128) (#7130)

* [TTS] Create EnCodec training recipe (#6852)

* [TTS] Create EnCodec training recipe

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Update encodec recipe

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Rename EnCodec to AudioCodec

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Add EnCodec unit tests

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Add copyright header to distributed.py

Signed-off-by: Ryan <rlangman@nvidia.com>

---------

Signed-off-by: Ryan <rlangman@nvidia.com>

* Fix rank where torch.distributed may not be initialized yet and would not wait for tokenizer file caching (#7061)

Signed-off-by: Kim Ngo <6362111+findkim@users.noreply.github.com>
Co-authored-by: David <amosalla@asu.edu>

* fix default attention size (#7141) (#7143)

* fix evaluator.py for various exceptions by ast (#7150)

Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

* [TTS][ZH] add Chinese TTS recipes based on IPA symbol sets. (#6893)

* [TTS] add Chinese TTS recipe based on IPA.
* add new pinyin and ipa dictionaries with 36 finals.
* add yaml configs for 24-final pinyin and ipa.
* add copyright header
* add a directory level 24finals to discriminate from 36 finals.

Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>

* unify configs into a single one and add detailed comments providing supported candidates.

Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>

* choose 36-final IPA as default phoneme dict

Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>

---------

Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>

* [TTS] Add output audio format to preprocessing (#6889)

* [TTS] Add output audio format to preprocessing

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Add format validation

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Fix data tutorial

Signed-off-by: Ryan <rlangman@nvidia.com>

---------

Signed-off-by: Ryan <rlangman@nvidia.com>

* freeze (#7152)

Signed-off-by: arendu <adithya.r@gmail.com>

* make sure any empty segments are removed (#7155)

Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>

* Update RIR generation scripts (#6547)

- fix: reduce room size if evaluation of params fails
- added randomized mic placement
- added diffuse noise generation
- added an option to specify the format and subtype for saved audio

Signed-off-by: Ante Jukić <ajukic@nvidia.com>

* A quickstart speech enhancement tutorial (#6492)

A simple example of training a model for speech enhancement task

Signed-off-by: Ante Jukić <ajukic@nvidia.com>

* NFA subtitle file config - specify colors and vertical alignment (#7160)

* allow specifying colors of text in ASS subtitle file

Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>

* specify vertical_alignment instead of marginv in ass_file_config

Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>

* add documentation of CTMFileConfig and ASSFileConfig to NFA README

Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>

---------

Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>

* Eagerly accumulate embedding grads into fp32 buffer (#6958) (#7153)

Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* TE bug fix (#7027) (#7036)

Signed-off-by: Dmytro Pykhtar <dpykhtar@nvidia.com>
Co-authored-by: Dmytro Pykhtar <37850217+dimapihtar@users.noreply.github.com>

* [TTS] Remove nested TTS configs (#7154)

* [TTS] Remove nested TTS configs

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Modify tutorial to support multiple sampling rates

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Clarify min_duration unit

Signed-off-by: Ryan <rlangman@nvidia.com>

* [TTS] Default 22.05kHz highfreq to null

Signed-off-by: Ryan <rlangman@nvidia.com>

---------

Signed-off-by: Ryan <rlangman@nvidia.com>

* Merge release r1.20.0 to main (#7167)

* update package info

Signed-off-by: ericharper <complex451@gmail.com>

* Add ASR with TTS Tutorial. Fix enhancer usage. (#6955)

* Add ASR with TTS Tutorial
* Fix enhancer usage

Signed-off-by: Vladimir Bataev <vbataev@nvidia.com>

* install_bs (#7019)

Signed-off-by: Nikolay Karpov <karpnv@gmail.com>

* Fix typo and branch in tutorial (#7048)

Signed-off-by: Vladimir Bataev <vbataev@nvidia.com>

* fix syntax error introduced in PR-7079 (#7102)

* fix syntax error introduced in PR-7079

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

* fixes for pr review

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

---------

Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>

* fix links for TN (#7117)

Signed-off-by: Evelina <ebakhturina@nvidia.com>

* update branch (#7135)

Signed-off-by: ericharper <complex451@gmail.com>

* Fixed main and merging this to r1.20 (#7127)

* Fixed main and merging this to r1.20

Signed-off-by: Taejin Park <tango4j@gmail.com>

* Update vad_utils.py

Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

---------

Signed-off-by: Taejin Park <tango4j@gmail.com>
Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

* update branch

Signed-off-by: ericharper <complex451@gmail.com>

* fix version

Signed-off-by: ericharper <complex451@gmail.com>

* resolve conflict the other way

Signed-off-by: ericharper <complex451@gmail.com>

* keep both

Signed-off-by: ericharper <complex451@gmail.com>

* revert keep both

Signed-off-by: ericharper <complex451@gmail.com>

---------

Signed-off-by: ericharper <complex451@gmail.com>
Signed-off-by: Vladimir Bataev <vbataev@nvidia.com>
Signed-off-by: Nikolay Karpov <karpnv@gmail.com>
Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>
Signed-off-by: Evelina <ebakhturina@nvidia.com>
Signed-off-by: Taejin Park <tango4j@gmail.com>
Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Co-authored-by: Vladimir Bataev <vbataev@nvidia.com>
Co-authored-by: Nikolay Karpov <karpnv@gmail.com>
Co-authored-by: bene-ges <antonova_sasha@list.ru>
Co-authored-by: Evelina <10428420+ekmb@users.noreply.github.com>
Co-authored-by: Taejin Park <tango4j@gmail.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

* Upgrade to pytorch lightning 2.0 (#6433)

* Upgrade pytorch lightning version in requirements

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Initial fixes for PTL2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add further fixes to support lightning 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add replacements for replace_sampler_ddp, resume_from_checkpoint_fit_path and few occurances of validation_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace all occurances of validation_epoch_end to on_validation_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace training_epoch_end, test_epoch_end with on_train_epoch_end and on_test_epoch_end respectively

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Change logger=None to logger=False in Trainer object

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove PTL2.0 deprecated Trainer args from TrainerConfig dataclass

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify trainer.precision check and other small edits

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace logger=None with logger=False in test_ptl_stateless_timer.py Trainer

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add default values for args to fix Attribute Error

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add the following modifications

1) Remove outputs arg from on_validation_epoch_end, on_test_epoch_end and make it an arg of the class
2) Replace resume_from_checkpoint with ckpt_path as needed
3) Explicitly add accelerator as 'CPU' in UTs being run on CPU

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg from on_validation_epoch_end, on_test_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg in on_validation_epoch_end in MultiBinaryAccuracy docstrings

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val, test outputs as instance vars in PunctuationCapitalizationModel and TokenClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace trainer.fit_loop.max_steps with trainer.fit_loop.epoch_loop.max_steps in test_optimizers_schedulers.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Revert an extra space that was mistakenly added

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Use self.validation_step_outputs and self.test_step_outputs in test_ema.py for uniformity

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Use self.validation_step_outputs and self.test_step_outputs in test_ptl_stateless_timer.py and check_for_ranks.py for uniformity

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add self.validation_step_outputs.clear() and self.test_step_outputs.clear() wherever missing

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg from on_train_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

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zhehuaichen added a commit to zhehuaichen/NeMo that referenced this pull request Sep 22, 2023
* Fixed small bug with NoisePerturbationWithNormalization (NVIDIA#7118)



* Fix import guard checks (NVIDIA#7124)



* Revert "Fix import guard checks (NVIDIA#7124)" (NVIDIA#7125)

This reverts commit a46e325.

* Fix import guard checks (NVIDIA#7126)

* Fix import guard checks



* [pre-commit.ci] auto fixes from pre-commit.com hooks

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---------




* Add updated fc ctc and rnnt xxl models (NVIDIA#7128) (NVIDIA#7130)

* [TTS] Create EnCodec training recipe (NVIDIA#6852)

* [TTS] Create EnCodec training recipe



* [TTS] Update encodec recipe



* [TTS] Rename EnCodec to AudioCodec



* [TTS] Add EnCodec unit tests



* [TTS] Add copyright header to distributed.py



---------



* Fix rank where torch.distributed may not be initialized yet and would not wait for tokenizer file caching (NVIDIA#7061)




* fix default attention size (NVIDIA#7141) (NVIDIA#7143)

* fix evaluator.py for various exceptions by ast (NVIDIA#7150)



* [TTS][ZH] add Chinese TTS recipes based on IPA symbol sets. (NVIDIA#6893)

* [TTS] add Chinese TTS recipe based on IPA.
* add new pinyin and ipa dictionaries with 36 finals.
* add yaml configs for 24-final pinyin and ipa.
* add copyright header
* add a directory level 24finals to discriminate from 36 finals.



* unify configs into a single one and add detailed comments providing supported candidates.



* choose 36-final IPA as default phoneme dict



---------



* [TTS] Add output audio format to preprocessing (NVIDIA#6889)

* [TTS] Add output audio format to preprocessing



* [TTS] Add format validation



* [TTS] Fix data tutorial



---------



* freeze (NVIDIA#7152)



* make sure any empty segments are removed (NVIDIA#7155)



* Update RIR generation scripts (NVIDIA#6547)

- fix: reduce room size if evaluation of params fails
- added randomized mic placement
- added diffuse noise generation
- added an option to specify the format and subtype for saved audio



* A quickstart speech enhancement tutorial (NVIDIA#6492)

A simple example of training a model for speech enhancement task



* NFA subtitle file config - specify colors and vertical alignment (NVIDIA#7160)

* allow specifying colors of text in ASS subtitle file



* specify vertical_alignment instead of marginv in ass_file_config



* add documentation of CTMFileConfig and ASSFileConfig to NFA README



---------



* Eagerly accumulate embedding grads into fp32 buffer (NVIDIA#6958) (NVIDIA#7153)




* TE bug fix (NVIDIA#7027) (NVIDIA#7036)




* [TTS] Remove nested TTS configs (NVIDIA#7154)

* [TTS] Remove nested TTS configs



* [TTS] Modify tutorial to support multiple sampling rates



* [TTS] Clarify min_duration unit



* [TTS] Default 22.05kHz highfreq to null



---------



* Merge release r1.20.0 to main (NVIDIA#7167)

* update package info



* Add ASR with TTS Tutorial. Fix enhancer usage. (NVIDIA#6955)

* Add ASR with TTS Tutorial
* Fix enhancer usage



* install_bs (NVIDIA#7019)



* Fix typo and branch in tutorial (NVIDIA#7048)



* fix syntax error introduced in PR-7079 (NVIDIA#7102)

* fix syntax error introduced in PR-7079



* fixes for pr review



---------



* fix links for TN (NVIDIA#7117)



* update branch (NVIDIA#7135)



* Fixed main and merging this to r1.20 (NVIDIA#7127)

* Fixed main and merging this to r1.20



* Update vad_utils.py



---------





* update branch



* fix version



* resolve conflict the other way



* keep both



* revert keep both



---------















* Upgrade to pytorch lightning 2.0 (NVIDIA#6433)

* Upgrade pytorch lightning version in requirements



* Initial fixes for PTL2.0



* Add further fixes to support lightning 2.0



* Add replacements for replace_sampler_ddp, resume_from_checkpoint_fit_path and few occurances of validation_epoch_end



* Replace all occurances of validation_epoch_end to on_validation_epoch_end



* Replace training_epoch_end, test_epoch_end with on_train_epoch_end and on_test_epoch_end respectively



* Change logger=None to logger=False in Trainer object



* Remove PTL2.0 deprecated Trainer args from TrainerConfig dataclass



* Modify trainer.precision check and other small edits



* Replace logger=None with logger=False in test_ptl_stateless_timer.py Trainer



* Add default values for args to fix Attribute Error



* Add the following modifications

1) Remove outputs arg from on_validation_epoch_end, on_test_epoch_end and make it an arg of the class
2) Replace resume_from_checkpoint with ckpt_path as needed
3) Explicitly add accelerator as 'CPU' in UTs being run on CPU



* Remove outputs arg from on_validation_epoch_end, on_test_epoch_end



* Remove outputs arg in on_validation_epoch_end in MultiBinaryAccuracy docstrings



* Add val, test outputs as instance vars in PunctuationCapitalizationModel and TokenClassificationModel



* Replace trainer.fit_loop.max_steps with trainer.fit_loop.epoch_loop.max_steps in test_optimizers_schedulers.py



* Revert an extra space that was mistakenly added



* Use self.validation_step_outputs and self.test_step_outputs in test_ema.py for uniformity



* Use self.validation_step_outputs and self.test_step_outputs in test_ptl_stateless_timer.py and check_for_ranks.py for uniformity



* Add self.validation_step_outputs.clear() and self.test_step_outputs.clear() wherever missing



* Remove outputs arg from on_train_epoch_end



* Remove outputs from on_validation_epoch_end in multi_binary_acc.py



* Remove output args from on_validation_epoch_end in the docstrings of some ASR files



* Remove output args from on_validation_epoch_end and clear memory from validation_step_outputs



* Add on_validation_epoch_end and remove outputs args for nlp models



* Append output of validation_step to validation_step_outputs in EncDecClassificationModel



* Add the following changes

1) Index self.validation_step_outputs and self.test_step.outputs with dataloader_idx wherever needed
2) Initialize self.validation_step_outputs and self.test_step.outputs as empty lists and add support for multi dataloaders if they exist
3) Remove self.pre_configure_ddp from NLPDDPStrategy class as its removed in PTL 2.0



* Add default value dataloader_idx=0 for on_validation_batch_end() in megatron_base_model.py



* TypeCast precision to str in attention.py and utils_funcs.py to avoid TypeError



* Add if condition check for multiple dataloaders when appending to validation outputs



* Separate validation pass to be used with both validation_step and test_step



* Add if condition check for multiple dataloader while appending to test_step_outputs in punctuation_capitalization_model.py



* Add condition check for multiple dataloaders based on type of trainer.val/test_dataloaders or self._validation/test_dl instead of len



* Comment Megatron T5 IA3 PP=2 in CI pipeline due to dataloader_iter issue with PTL 2.0



* Modify precision checks to account for 16-mixed and bf16-mixed



* Append output of validation/test_step to self.validation/test_step_outputs in CTCG2PModel



* Modify find_unused_parameters=True in g2p_heteronym model

1) Add find_unused_parameters=True for DDP strategy in g2p_heteronym_classification_train_and_evaluate.py
2) Remove args output in validation/test_step and add instance variables instead for heteronym_classification.py



* Remove outputs from on_test_epoch_end in DialogueGPTClassificationModel



* Add validation/test outputs in sgdqa_model and modify dialogue_config.yaml



* Add split arg self.test_step_outputs to TextClassificationModel



* Add test_step_outputs to dialogue and text classification models



* Change condition check for multiple dataloaders:

1) Replace ds_item as list in dialogue_config.yaml
2) Check for len of val/test_dataloaders or validation/test_dl along with type check of list in sgdqa_model.py while appending outputs of validation/test_step
3) Check for len of _validation/test_dl for creating self.validation/test_step_outputs in ModelPT and punctuation_cpitalization_model.py



* Add additional condition for multi dataloaders

Check len(self.trainer.val/test_dataloaders) > 1 along with type(self.trainer.val/test_dataloaders) == list for multi dataloaders in validation/test_step



* Add val step outputs and default val for dataloader_idx

1) Append validation_step outout to self.validation_step_outputs in MultiLabelIntentSlotClassificationMode
2) Add default val for dataloader_idx for on_test_batch_start/end in TimingCallback
3) Add self.validation/test_step_outputs in BERTQAModel and remove outputs arg



* Add val/test_step_outputs to S2SQAModel and GPTQAModel



* Edit JenkinsFile for bert_pretrainig.py

Edit Jenkinsfile for this test to disable validation as a workaround for trainer.val_dataloader None error



* Modify precision to support 16-mixed, bf16-mixed in megatron_gpt_pretraining.py



* Add ddp_find_unused_parameters_true and remove output args

1) Add ddp_find_unused_parameters_true fro trainer.strategy in self_alignment_pretraining.py as it has unused parameters
2) Remove output args and add self.validation/test_step_outputs to validation/test_step in mt_enc_dec_model.py
3) Comment tests in JenkinsFile that need to be fixed



* Precision fix in megatron_nmt_training.py for 16-mixed, bf16-mixed



* Precision fix for megatron_bert_pretraining.py and megatron_bert_model.py



* Precision fix and validation/test_step_outputs

1) Add fix to account for 16-mixed and bf16-mixed in megatron_retro_mutransfer_pretrain.py, megatron_retro_pretraining.py
2) Reset ckpt_path for test in enc_dec_nmt.py
3) Remove outputs args and add validation/test_step_outputs in megatron_retrieval_model.py
4) Comment Megatron Bert Pretraining and Resume Training with Pipeline Paralleism and add back NMT Training Post-LN



* Precision fix and skip few failing tests



* Add missing comment lines in JenkinsFile



* Comment jenkin tests and super().on_validation_epoch_end() in megatron_gpt_sft_model.py



* Minor edit JenkinsFile



* Minor edit in jenkins file



* Edit in Jenkins file



* Comment missed lines in Jenkins file



* Fix precision and validation/test outputs

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2) Remove outputs args and add append loss to self.validation/test_step_outputs in megatron_lm_encoder_decoder_model.py
3) Add back resume_from_checkpoint in the megatron_t5_config.yaml
4) Comment out certain tests in Jenkins file



* Fix precision and validation/test/predict errors in megatron_t5_prompt_learning.py



* Precision fix and edit precision typo in all files

1) Account for 16-mixed and bf16-mixed in megatron_bart_pretraining.py and megatron_t5_seq2seq_finetune.py
2) Fix precision typo in all files



* Fix all CI TTS tests and comment few Jenkins tests



* Combine xx_epoch_end and on_xx_epoch_end

Add on_inference_epoch_end to inference_epoch_end function and have a single on_validation/test_epoch_end in megatron_finetune_model.py and megatron_gpt_sft_model.py



* Add a missing comment in JenkinsFile



* Add try except StopIteration in validation_step for models with dataloader_iter



* Remove pyyaml from requirements



* Add try except for inference_step in megatron_finetune_model.py



* Remove limit_val_batches for mockGPTDataset test



* Add new self.validation_step_outputs for MegatronGPTSFTModel



* Minor edit Jenkinsfile



* Initialize self.validation/test_step_outputs in megatron_gpt_sft_model.py

Initialize self.validation/test_step_outputs in setup of MegatronGPTSFTModel to take care of cases when datalaoders are not setup in ModelPT for example while restoring the model.



* Remove resume_from_checkpoint if trainer arg in conf yaml files



* Remove resume_from_checkpoint as trainer arg in GPT, T5 configs



* Remove resume_from_checkpoint in duplex_tn_config.yaml



* Fix typos, unused imports and refactor code to remove redundant funcs



* Remove commented code in megatron_nmt_model.py



* Fix overriden functions to match parent class functions



* Prefetch dataloader_iter to prevent hang for PP>1



* Override setup() in NLPDDPStrategy to avoid hang during predict with PP>1



* Uncomment tests in JenkinsFile



* Add '16' to precision checks and other minor fixes



* Clear validation/test_step_outputs with dataloader_idx for multi dataloaders



* Minor edits



* Modify precision checks to avoid indexing



* Remove self.validation_step_outputs_sft and add dataloader_idx to clear outputs



* Reference checkpoint with trainer.ckpt_path



* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Add _prefetch to NLPModel and minor fixes



* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Add limit_val_batches in JenkinsFile for NMT

1) Add trainer.limit_val_batches in Megatron NMT Training TP=2
2) Remove unused import in ModelPT



---------




* Include the scripts for preprocessing OAST and unit tests for chat sft datasets (NVIDIA#7112)

* scripts for sft



* fix style



* adde special token only for huggingface model



* change default name



* print out error datapoint content



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* small Bugfix (NVIDIA#7081)

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* Update tutorials/nlp/SpellMapper_English_ASR_Customization.ipynb



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* Adding docs and models for multiple lookahead cache-aware ASR (NVIDIA#7067) (NVIDIA#7094)



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* Fix absolute path in path join call (NVIDIA#7099)




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* Add updated fc ctc and rnnt xxl models (NVIDIA#7128) (NVIDIA#7130)



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---------




* Fix rank where torch.distributed may not be initialized yet and would not wait for tokenizer file caching (NVIDIA#7061)





* fix default attention size (NVIDIA#7141) (NVIDIA#7143)



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* [TTS] Add output audio format to preprocessing (NVIDIA#6889)

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* Precision fix for megatron_bert_pretraining.py and megatron_bert_model.py



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* Minor edit JenkinsFile



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* Comment missed lines in Jenkins file



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---------





* Include the scripts for preprocessing OAST and unit tests for chat sft datasets (NVIDIA#7112)

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Co-authored-by: Adi Renduchintala <adithyar…

Signed-off-by: Daniel Egert <degert@nvidia.com>
Signed-off-by: smajumdar <titu1994@gmail.com>
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rohitrango pushed a commit to rohitrango/NeMo that referenced this pull request Jun 25, 2024
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* fix links for TN (#7117)

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* update branch (#7135)

Signed-off-by: ericharper <complex451@gmail.com>

* Fixed main and merging this to r1.20 (#7127)

* Fixed main and merging this to r1.20

Signed-off-by: Taejin Park <tango4j@gmail.com>

* Update vad_utils.py

Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

---------

Signed-off-by: Taejin Park <tango4j@gmail.com>
Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

* update branch

Signed-off-by: ericharper <complex451@gmail.com>

* fix version

Signed-off-by: ericharper <complex451@gmail.com>

* resolve conflict the other way

Signed-off-by: ericharper <complex451@gmail.com>

* keep both

Signed-off-by: ericharper <complex451@gmail.com>

* revert keep both

Signed-off-by: ericharper <complex451@gmail.com>

---------

Signed-off-by: ericharper <complex451@gmail.com>
Signed-off-by: Vladimir Bataev <vbataev@nvidia.com>
Signed-off-by: Nikolay Karpov <karpnv@gmail.com>
Signed-off-by: Alexandra Antonova <antonova_sasha@list.ru>
Signed-off-by: Evelina <ebakhturina@nvidia.com>
Signed-off-by: Taejin Park <tango4j@gmail.com>
Signed-off-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Co-authored-by: Vladimir Bataev <vbataev@nvidia.com>
Co-authored-by: Nikolay Karpov <karpnv@gmail.com>
Co-authored-by: bene-ges <antonova_sasha@list.ru>
Co-authored-by: Evelina <10428420+ekmb@users.noreply.github.com>
Co-authored-by: Taejin Park <tango4j@gmail.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Signed-off-by: jubick1337 <mattyson.so@gmail.com>

* Upgrade to pytorch lightning 2.0 (#6433)

* Upgrade pytorch lightning version in requirements

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Initial fixes for PTL2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add further fixes to support lightning 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add replacements for replace_sampler_ddp, resume_from_checkpoint_fit_path and few occurances of validation_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace all occurances of validation_epoch_end to on_validation_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace training_epoch_end, test_epoch_end with on_train_epoch_end and on_test_epoch_end respectively

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Change logger=None to logger=False in Trainer object

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove PTL2.0 deprecated Trainer args from TrainerConfig dataclass

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify trainer.precision check and other small edits

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace logger=None with logger=False in test_ptl_stateless_timer.py Trainer

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add default values for args to fix Attribute Error

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add the following modifications

1) Remove outputs arg from on_validation_epoch_end, on_test_epoch_end and make it an arg of the class
2) Replace resume_from_checkpoint with ckpt_path as needed
3) Explicitly add accelerator as 'CPU' in UTs being run on CPU

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg from on_validation_epoch_end, on_test_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg in on_validation_epoch_end in MultiBinaryAccuracy docstrings

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val, test outputs as instance vars in PunctuationCapitalizationModel and TokenClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Replace trainer.fit_loop.max_steps with trainer.fit_loop.epoch_loop.max_steps in test_optimizers_schedulers.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Revert an extra space that was mistakenly added

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Use self.validation_step_outputs and self.test_step_outputs in test_ema.py for uniformity

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Use self.validation_step_outputs and self.test_step_outputs in test_ptl_stateless_timer.py and check_for_ranks.py for uniformity

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add self.validation_step_outputs.clear() and self.test_step_outputs.clear() wherever missing

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs arg from on_train_epoch_end

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs from on_validation_epoch_end in multi_binary_acc.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove output args from on_validation_epoch_end in the docstrings of some ASR files

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove output args from on_validation_epoch_end and clear memory from validation_step_outputs

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add on_validation_epoch_end and remove outputs args for nlp models

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Append output of validation_step to validation_step_outputs in EncDecClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add the following changes

1) Index self.validation_step_outputs and self.test_step.outputs with dataloader_idx wherever needed
2) Initialize self.validation_step_outputs and self.test_step.outputs as empty lists and add support for multi dataloaders if they exist
3) Remove self.pre_configure_ddp from NLPDDPStrategy class as its removed in PTL 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add default value dataloader_idx=0 for on_validation_batch_end() in megatron_base_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* TypeCast precision to str in attention.py and utils_funcs.py to avoid TypeError

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add if condition check for multiple dataloaders when appending to validation outputs

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Separate validation pass to be used with both validation_step and test_step

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add if condition check for multiple dataloader while appending to test_step_outputs in punctuation_capitalization_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add condition check for multiple dataloaders based on type of trainer.val/test_dataloaders or self._validation/test_dl instead of len

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Comment Megatron T5 IA3 PP=2 in CI pipeline due to dataloader_iter issue with PTL 2.0

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify precision checks to account for 16-mixed and bf16-mixed

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Append output of validation/test_step to self.validation/test_step_outputs in CTCG2PModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify find_unused_parameters=True in g2p_heteronym model

1) Add find_unused_parameters=True for DDP strategy in g2p_heteronym_classification_train_and_evaluate.py
2) Remove args output in validation/test_step and add instance variables instead for heteronym_classification.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove outputs from on_test_epoch_end in DialogueGPTClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add validation/test outputs in sgdqa_model and modify dialogue_config.yaml

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add split arg self.test_step_outputs to TextClassificationModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add test_step_outputs to dialogue and text classification models

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Change condition check for multiple dataloaders:

1) Replace ds_item as list in dialogue_config.yaml
2) Check for len of val/test_dataloaders or validation/test_dl along with type check of list in sgdqa_model.py while appending outputs of validation/test_step
3) Check for len of _validation/test_dl for creating self.validation/test_step_outputs in ModelPT and punctuation_cpitalization_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add additional condition for multi dataloaders

Check len(self.trainer.val/test_dataloaders) > 1 along with type(self.trainer.val/test_dataloaders) == list for multi dataloaders in validation/test_step

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val step outputs and default val for dataloader_idx

1) Append validation_step outout to self.validation_step_outputs in MultiLabelIntentSlotClassificationMode
2) Add default val for dataloader_idx for on_test_batch_start/end in TimingCallback
3) Add self.validation/test_step_outputs in BERTQAModel and remove outputs arg

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add val/test_step_outputs to S2SQAModel and GPTQAModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Edit JenkinsFile for bert_pretrainig.py

Edit Jenkinsfile for this test to disable validation as a workaround for trainer.val_dataloader None error

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Modify precision to support 16-mixed, bf16-mixed in megatron_gpt_pretraining.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add ddp_find_unused_parameters_true and remove output args

1) Add ddp_find_unused_parameters_true fro trainer.strategy in self_alignment_pretraining.py as it has unused parameters
2) Remove output args and add self.validation/test_step_outputs to validation/test_step in mt_enc_dec_model.py
3) Comment tests in JenkinsFile that need to be fixed

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix in megatron_nmt_training.py for 16-mixed, bf16-mixed

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix for megatron_bert_pretraining.py and megatron_bert_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix and validation/test_step_outputs

1) Add fix to account for 16-mixed and bf16-mixed in megatron_retro_mutransfer_pretrain.py, megatron_retro_pretraining.py
2) Reset ckpt_path for test in enc_dec_nmt.py
3) Remove outputs args and add validation/test_step_outputs in megatron_retrieval_model.py
4) Comment Megatron Bert Pretraining and Resume Training with Pipeline Paralleism and add back NMT Training Post-LN

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix and skip few failing tests

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add missing comment lines in JenkinsFile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Comment jenkin tests and super().on_validation_epoch_end() in megatron_gpt_sft_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Minor edit JenkinsFile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Minor edit in jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Edit in Jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Comment missed lines in Jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Fix precision and validation/test outputs

1) Add precision fix to account for 16-mixed and bf16-mixed in megatron_t5_pretraining.py
2) Remove outputs args and add append loss to self.validation/test_step_outputs in megatron_lm_encoder_decoder_model.py
3) Add back resume_from_checkpoint in the megatron_t5_config.yaml
4) Comment out certain tests in Jenkins file

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Fix precision and validation/test/predict errors in megatron_t5_prompt_learning.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Precision fix and edit precision typo in all files

1) Account for 16-mixed and bf16-mixed in megatron_bart_pretraining.py and megatron_t5_seq2seq_finetune.py
2) Fix precision typo in all files

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Fix all CI TTS tests and comment few Jenkins tests

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Combine xx_epoch_end and on_xx_epoch_end

Add on_inference_epoch_end to inference_epoch_end function and have a single on_validation/test_epoch_end in megatron_finetune_model.py and megatron_gpt_sft_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add a missing comment in JenkinsFile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add try except StopIteration in validation_step for models with dataloader_iter

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove pyyaml from requirements

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add try except for inference_step in megatron_finetune_model.py

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove limit_val_batches for mockGPTDataset test

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Add new self.validation_step_outputs for MegatronGPTSFTModel

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Minor edit Jenkinsfile

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Initialize self.validation/test_step_outputs in megatron_gpt_sft_model.py

Initialize self.validation/test_step_outputs in setup of MegatronGPTSFTModel to take care of cases when datalaoders are not setup in ModelPT for example while restoring the model.

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove resume_from_checkpoint if trainer arg in conf yaml files

Signed-off-by: Abhishree <abhishreetm@gmail.com>

* Remove resume_from_checkpoint as trainer arg in GPT, T5 configs

Signed-off-by: Abhishree <abhishreetm@gmai…
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