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V3.0

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V3rc0

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Pytorch Lightning Integration (#569)

* Added minimal code to integrate Pytorch Lightning into training.py

* Added autocast support, removed intra epoch checkpointing for simplicity, integrated checkpoint support, fixed validation support

* Fixed multi-gpu support

* Fixed smoke test, pretrained tests will be broken till new model release

Added trains viz logging

Precision

* Updated README, fixed server class, updated k8s config file, added fix for adam Trains support, removed autocast since this is handled via lightning

* Swapped to using tqdm write for readability when checkpointing, added an4 config

* Added base script for each dataset, updated default params

* Swapped to using native CTC, updated common voice script, removed incorrect lightning version

* Updated cv params and output manifest location, set default epochs to the epochs used for previous release

* Disable trains logger for now, simplified checkpointing logic for new release

* Added new metrics class, removed save_output/verbose for now, using new ModelCheckpoint class for model saving

* multiprocess duration collection for speed, allow loading from file path, refactor path name and test

* Swap to latest release candidate, fixed flag reference

* Format smoke test, update path to best save k model

* Update to latest RC

* Removed trains logging, rely on PL tensorboard. swap to saving json object for manifest to modify root path

* Ensure abs path for manifest root path

* Use absolute paths for manifest

* Update requirements, abstract all PL trainer arguments

* Enable checkpoint callback

* Enable checkpoint callback, add verbosity

* Add sharded as a dependency for better memory use

* Set num workers, add spec augment

* Update deepspeech_pytorch/data/utils.py

Co-authored-by: Anas Abou Allaban <[email protected]>

* Specify blank index explicitly

* Add blank index to ctc loss

* Fix CI

* Fix Syntax Warning

* Fix install requirements

* Use torchaudio (#607)

* Use torchaudio

* Add torchaudio to reqs

* Fixes for testing, update AN4 config, update dockerfile base image

* Add noninteractive to remove stalling

* revert

* Update API

Co-authored-by: Sean Narenthiran <[email protected]>
Co-authored-by: Anas Abou Allaban <[email protected]>
Co-authored-by: Anas Abou Allaban <[email protected]>

V2.1

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Remove hydra-core rc, use latest stable version

v2.0

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Merge pull request #458 from SeanNaren/feature/V2

Feature/v2

v1.2

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Fix offsets flag

v1.1

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Merge pull request #216 from taras-sereda/master

simplified batch softmax

v1.0

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Merge pull request #141 from SeanNaren/fix-inference

Refactor of testing/prediction, added progress