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Minor docs updates #18

Merged
merged 1 commit into from
Sep 18, 2019
Merged

Minor docs updates #18

merged 1 commit into from
Sep 18, 2019

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@vsl9 vsl9 commented Sep 18, 2019

Signed-off-by: Vitaly Lavrukhin vlavrukhin@nvidia.com

Signed-off-by: Vitaly Lavrukhin <vlavrukhin@nvidia.com>
@okuchaiev okuchaiev merged commit 651a206 into NVIDIA:master Sep 18, 2019
chiphuyen pushed a commit that referenced this pull request Sep 18, 2019
Minor docs updates
Signed-off-by: Chip Nguyen <huyenntkvn@gmail.com>
chiphuyen pushed a commit that referenced this pull request Sep 18, 2019
Minor docs updates
Signed-off-by: Chip Nguyen <huyenntkvn@gmail.com>

Signed-off-by: Chip Nguyen <huyenntkvn@gmail.com>
zhehuaichen added a commit that referenced this pull request Oct 9, 2023
)

* add initial impl of ModularizedSpeechGPTModel and integration test

* fix typo in the test name (#1)

approve the nit change

* clean a initial version of example config; make sure it works by test (#2)

approve as no need to review

* add the test for training_step and fix the code correspondingly (test passed now) (#3)

* add test for validation_step (#4)

* mv audio and text emb concat to prepare_llm_input so as to write test to guard the llm input

* Merge heh and zhehuai's initial version of frozen am+llm (#5)

* Merge heh and zhehuai's initial version of frozen am+llm

The previous differences are summarized here:
https://docs.google.com/document/d/1zNI4hC6vJtUfcHbrUSPaMuYWRBQdN_36H0P2NiBiuPY/edit

This PR includes
1. Finish merging the model, dataset, and config code
2. Previous tests are still enabled and passed (prepare_llm_input, training_step,
    validation_step)
3. the example training script with LS960 has been run to make sure the training
pipeline works

The major remaining works are listed here
https://docs.google.com/document/d/1o0AM7v4gcTQkPZjE0Vl9TTX4vYnGTrbXEFGWh0UhGlk/edit#bookmark=id.pzvdadt5oxyw

---------

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

* fix a nit init bug broke test (#6)

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* Clean up implementation for SALM paper and sync to NEMO v1.20.0 (#18)

* wip

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix data

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix consumed_samples

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix the training restart problem by storing adapter+perception model and
init them from the ckpt

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* refix state dict

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support wer and inf

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* nan guard

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* reimpl inf and bug fix

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* multi loader

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* unfreeze lm

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* flag for load am

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* tokenizer

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* overwrite vocab size

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support bpe dropout

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add tarred datasets

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix sample_alpha

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix bpe dropout bugs in the mismatched context in tokenization

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add bleu metric

Signed-off-by: stevehuang52 <heh@nvidia.com>

* update metrics

Signed-off-by: stevehuang52 <heh@nvidia.com>

* support inference and fix a bug in wer calculation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix bucketing dataset

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix bleu implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support question set file per dataset/data loader in preparation for
multitask understanding; also fix bleu implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support simple random context for word boosting

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* use sacrebleu.corpus_bleu to be consistent with the rest

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* make audio_file optional in the data loader

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add a tool to materialize mt and text data

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* compatible with tar dataset

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* temp fix for metric and speed up materialization

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* make num of context configurable

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* val_check_interval fix; make manifest dumping consistent with speech models

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* random_context_positive_ratio configurable to control precision

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* bug fix: freeze_llm flag is not passed to the model cfg

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* overwrite tensor_model_parallel_size

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support both stt and ssl models for loading audio encoder

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix the inference config so as to use sampling; allow inference config update in training

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* refactorize and clean up code for preprocessing collections, dataset interface, model inference and rename some classes to be consistent with salm paper.
also make sure test passed

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* Undo changes in megatron_gpt_peft_models.py and move them to speechllm_models.py; make sure the correctness by test_speechllm_models.py::TestModularizedAudioGPTModel::test_predict_step

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update default inference config and test golden value accordingly

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* integration test and minor fix

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* nit bug fix on manifest_filepath introduced by code cleanup

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update workspace/ files; consider moving to examples later

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* further remove unnecessary stuff in the inference implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* revert the update in default end_string to be compatible with legacy models

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

---------

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
Signed-off-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

* rename 'ModularizedAudioGPTModel' to 'ModularAudioGPTLoRAModel'; move speechllm stuff under nemo/collections/multimodal/speechllm

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update copyright; remove workspace/scripts and workspace/tools folders since the main branch has LLaMA support

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

---------

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
Signed-off-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: Zhehuai Chen <chenzhehuai.sjtu@aispeech.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Co-authored-by: stevehuang52 <heh@nvidia.com>
zhehuaichen added a commit that referenced this pull request Oct 13, 2023
)

* add initial impl of ModularizedSpeechGPTModel and integration test

* fix typo in the test name (#1)

approve the nit change

* clean a initial version of example config; make sure it works by test (#2)

approve as no need to review

* add the test for training_step and fix the code correspondingly (test passed now) (#3)

* add test for validation_step (#4)

* mv audio and text emb concat to prepare_llm_input so as to write test to guard the llm input

* Merge heh and zhehuai's initial version of frozen am+llm (#5)

* Merge heh and zhehuai's initial version of frozen am+llm

The previous differences are summarized here:
https://docs.google.com/document/d/1zNI4hC6vJtUfcHbrUSPaMuYWRBQdN_36H0P2NiBiuPY/edit

This PR includes
1. Finish merging the model, dataset, and config code
2. Previous tests are still enabled and passed (prepare_llm_input, training_step,
    validation_step)
3. the example training script with LS960 has been run to make sure the training
pipeline works

The major remaining works are listed here
https://docs.google.com/document/d/1o0AM7v4gcTQkPZjE0Vl9TTX4vYnGTrbXEFGWh0UhGlk/edit#bookmark=id.pzvdadt5oxyw

---------

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

* fix a nit init bug broke test (#6)

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* Clean up implementation for SALM paper and sync to NEMO v1.20.0 (#18)

* wip

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix data

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix consumed_samples

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix the training restart problem by storing adapter+perception model and
init them from the ckpt

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* refix state dict

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support wer and inf

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* nan guard

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* reimpl inf and bug fix

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* multi loader

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* unfreeze lm

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* flag for load am

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* tokenizer

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* overwrite vocab size

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support bpe dropout

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add tarred datasets

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix sample_alpha

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix bpe dropout bugs in the mismatched context in tokenization

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add bleu metric

Signed-off-by: stevehuang52 <heh@nvidia.com>

* update metrics

Signed-off-by: stevehuang52 <heh@nvidia.com>

* support inference and fix a bug in wer calculation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix bucketing dataset

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix bleu implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support question set file per dataset/data loader in preparation for
multitask understanding; also fix bleu implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support simple random context for word boosting

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* use sacrebleu.corpus_bleu to be consistent with the rest

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* make audio_file optional in the data loader

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add a tool to materialize mt and text data

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* compatible with tar dataset

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* temp fix for metric and speed up materialization

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* make num of context configurable

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* val_check_interval fix; make manifest dumping consistent with speech models

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* random_context_positive_ratio configurable to control precision

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* bug fix: freeze_llm flag is not passed to the model cfg

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* overwrite tensor_model_parallel_size

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support both stt and ssl models for loading audio encoder

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix the inference config so as to use sampling; allow inference config update in training

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* refactorize and clean up code for preprocessing collections, dataset interface, model inference and rename some classes to be consistent with salm paper.
also make sure test passed

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* Undo changes in megatron_gpt_peft_models.py and move them to speechllm_models.py; make sure the correctness by test_speechllm_models.py::TestModularizedAudioGPTModel::test_predict_step

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update default inference config and test golden value accordingly

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* integration test and minor fix

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* nit bug fix on manifest_filepath introduced by code cleanup

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update workspace/ files; consider moving to examples later

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* further remove unnecessary stuff in the inference implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* revert the update in default end_string to be compatible with legacy models

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

---------

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
Signed-off-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

* rename 'ModularizedAudioGPTModel' to 'ModularAudioGPTLoRAModel'; move speechllm stuff under nemo/collections/multimodal/speechllm

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update copyright; remove workspace/scripts and workspace/tools folders since the main branch has LLaMA support

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

---------

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
Signed-off-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: Zhehuai Chen <chenzhehuai.sjtu@aispeech.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
Co-authored-by: stevehuang52 <heh@nvidia.com>
pzelasko pushed a commit to pzelasko/NeMo that referenced this pull request May 8, 2024
…IA#18)

* wip

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix data

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix consumed_samples

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix the training restart problem by storing adapter+perception model and
init them from the ckpt

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* refix state dict

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support wer and inf

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* nan guard

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* reimpl inf and bug fix

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* multi loader

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* unfreeze lm

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* flag for load am

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* tokenizer

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* overwrite vocab size

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support bpe dropout

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add tarred datasets

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix sample_alpha

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix bpe dropout bugs in the mismatched context in tokenization

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add bleu metric

Signed-off-by: stevehuang52 <heh@nvidia.com>

* update metrics

Signed-off-by: stevehuang52 <heh@nvidia.com>

* support inference and fix a bug in wer calculation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix bucketing dataset

Signed-off-by: stevehuang52 <heh@nvidia.com>

* fix bleu implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support question set file per dataset/data loader in preparation for
multitask understanding; also fix bleu implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support simple random context for word boosting

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* use sacrebleu.corpus_bleu to be consistent with the rest

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* make audio_file optional in the data loader

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* add a tool to materialize mt and text data

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* compatible with tar dataset

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* temp fix for metric and speed up materialization

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* make num of context configurable

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* val_check_interval fix; make manifest dumping consistent with speech models

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* random_context_positive_ratio configurable to control precision

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* bug fix: freeze_llm flag is not passed to the model cfg

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* overwrite tensor_model_parallel_size

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* support both stt and ssl models for loading audio encoder

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* fix the inference config so as to use sampling; allow inference config update in training

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* refactorize and clean up code for preprocessing collections, dataset interface, model inference and rename some classes to be consistent with salm paper.
also make sure test passed

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* Undo changes in megatron_gpt_peft_models.py and move them to speechllm_models.py; make sure the correctness by test_speechllm_models.py::TestModularizedAudioGPTModel::test_predict_step

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update default inference config and test golden value accordingly

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* integration test and minor fix

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* nit bug fix on manifest_filepath introduced by code cleanup

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* update workspace/ files; consider moving to examples later

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* further remove unnecessary stuff in the inference implementation

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

* revert the update in default end_string to be compatible with legacy models

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>

---------

Signed-off-by: zhehuaichen <dian.chenzhehuai@gmail.com>
Signed-off-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: stevehuang52 <heh@nvidia.com>
Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>
dcurran90 pushed a commit to dcurran90/NeMo that referenced this pull request Oct 15, 2024
Signed-off-by: Tommy Li <Tommy.chaoping.li@ibm.com>
Co-authored-by: Kai Xu <5985769+xukai92@users.noreply.github.com>
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2 participants