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Bump cookiecutter from 1.7.3 to 2.1.1 in /docs #230

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merged 1 commit into from
Jun 10, 2022

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Bumps cookiecutter from 1.7.3 to 2.1.1.

Release notes

Sourced from cookiecutter's releases.

2.1.1

Documentation updates

Bugfixes

  • Sanitize Mercurial branch information before checkout. (#1689) @​ericof

This release is made by wonderful contributors:

@​alkatar21, @​ericof and @​jensens

2.1.0

Preamble

This release log lists all changes from 1.7.3 to this release. It includes the log of the 2.0.x releases, which were never published on PyPI. Because of that it might look a bit blurry.

We release the current stable state of the project, knowing there are a bunch of open pull requests. Those will be reviewed by the core-committers and merged or dropped.

Future releases will happen more frequently. Stay tuned.

Fetch fresh from PyPI https://pypi.org/project/cookiecutter/2.1.0/

Changes

Breaking Changes

Minor Changes

... (truncated)

Changelog

Sourced from cookiecutter's changelog.

2.1.1 (2022-06-01)

Documentation updates

Bugfixes

  • Sanitize Mercurial branch information before checkout. (#1689) @​ericof

This release is made by wonderfull contributors:

@​alkatar21, @​ericof and @​jensens

2.1.0 (2022-05-30)

Changes

CI/CD and QA changes

Documentation updates

Bugfixes

This release was made possible by our wonderful contributors:

@​doobrie, @​jensens, @​ericof, @​luzfcb

2.0.2 (2021-12-27)

Remark: This release never made it to official PyPI

... (truncated)

Commits
  • f9376a9 Prepare release 2.1.1
  • fdffddb Merge pull request #1689 from cookiecutter/sanitize-mercurial-checkout
  • 85a7884 Lint fixes
  • e26c465 Sanitize Mercurial branch information before checkout.
  • 94036d0 Merge pull request #1687 from cookiecutter/bump-version-back-to-dev
  • 70b2ee2 Merge pull request #1686 from alkatar21/patch-1
  • 8b33e96 Bump version to 2.1.1.dev0
  • 58d716f [Docs] Fix local extensions documentation
  • f601b71 Merge pull request #1684 from cookiecutter/bump-release-2.1.0
  • 96c6826 bump version and edit historie
  • Additional commits viewable in compare view

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Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

---
updated-dependencies:
- dependency-name: cookiecutter
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jun 10, 2022
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codecov-commenter commented Jun 10, 2022

Codecov Report

Merging #230 (a00ec7c) into main (1eb6f67) will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##             main     #230   +/-   ##
=======================================
  Coverage   85.94%   85.94%           
=======================================
  Files          64       64           
  Lines        2911     2911           
=======================================
  Hits         2502     2502           
  Misses        409      409           

@NeelayS NeelayS merged commit de50953 into main Jun 10, 2022
@NeelayS NeelayS deleted the dependabot/pip/docs/cookiecutter-2.1.1 branch June 10, 2022 05:04
prajnan93 added a commit that referenced this pull request Aug 17, 2022
* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

---
updated-dependencies:
- dependency-name: ujson
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

---
updated-dependencies:
- dependency-name: cookiecutter
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
prajnan93 added a commit that referenced this pull request Aug 17, 2022
* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

---
updated-dependencies:
- dependency-name: ujson
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

---
updated-dependencies:
- dependency-name: cookiecutter
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Co-authored-by: NeelayS <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
prajnan93 added a commit that referenced this pull request Sep 6, 2022
* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

---
updated-dependencies:
- dependency-name: ujson
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

---
updated-dependencies:
- dependency-name: cookiecutter
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Co-authored-by: NeelayS <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

Co-authored-by: NeelayS <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Devroop Kar <33129624+kardevroop@users.noreply.github.com>
prajnan93 added a commit that referenced this pull request Dec 19, 2022
* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

---
updated-dependencies:
- dependency-name: ujson
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

---
updated-dependencies:
- dependency-name: cookiecutter
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

---
updated-dependencies:
- dependency-name: arrow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Co-authored-by: NeelayS <shahnh19@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

---
updated-dependencies:
- dependency-name: oauthlib
  dependency-type: direct:production
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

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prajnan93 added a commit that referenced this pull request Dec 19, 2022
* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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prajnan93 added a commit that referenced this pull request Dec 19, 2022
* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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prajnan93 added a commit that referenced this pull request Dec 19, 2022
* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

* sync main (#254)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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* update kubric improved aug config

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prajnan93 added a commit that referenced this pull request Dec 20, 2022
* Update kubric config (#255)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

* sync main (#254)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](ultrajson/ultrajson@v1.35...5.2.0)

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- dependency-name: ujson
  dependency-type: direct:production
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](cookiecutter/cookiecutter@1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](arrow-py/arrow@0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](oauthlib/oauthlib@v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](certifi/python-certifi@2021.05.30...2022.12.07)

---
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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* update kubric improved aug config

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* Update setup.py

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prajnan93 added a commit that referenced this pull request Dec 29, 2022
* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
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- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

* sync main (#254)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

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* update model configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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* update kubric improved aug config

* Sync main (#256)

* Update kubric config (#255)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](https://github.com/ultrajson/ultrajson/compare/v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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* Fix docs errors (#248)

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* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

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* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

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* Fix docs errors (#248)

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* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
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- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer …
prajnan93 added a commit that referenced this pull request Jun 20, 2023
* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](https://github.com/ultrajson/ultrajson/compare/v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

---
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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
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- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

* sync main (#254)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](https://github.com/ultrajson/ultrajson/compare/v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](https://github.com/ultrajson/ultrajson/compare/v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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* update kubric improved aug config

* Sync main (#256)

* Update kubric config (#255)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](https://github.com/ultrajson/ultrajson/compare/v1.35...5.2.0)

---
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- dependency-name: ujson
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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

* sync main (#254)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated training config file to comply with changes in the trainer

* Made changes to default base trainer config as well

* Revert "Add tagged commit trigger for deployment workflow (#214)" (#217)

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* Bump ujson from 1.35 to 5.2.0 in /docs (#226)

Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.2.0.
- [Release notes](https://github.com/ultrajson/ultrajson/releases)
- [Commits](https://github.com/ultrajson/ultrajson/compare/v1.35...5.2.0)

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* Loosened requirements (#228)

* Loosened requirements (#229)

* Bump cookiecutter from 1.7.3 to 2.1.1 in /docs (#230)

Bumps [cookiecutter](https://github.com/cookiecutter/cookiecutter) from 1.7.3 to 2.1.1.
- [Release notes](https://github.com/cookiecutter/cookiecutter/releases)
- [Changelog](https://github.com/cookiecutter/cookiecutter/blob/master/HISTORY.md)
- [Commits](https://github.com/cookiecutter/cookiecutter/compare/1.7.3...2.1.1)

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  dependency-type: direct:production
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* Bump arrow from 0.13.1 to 0.15.1 in /docs (#231)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

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- dependency-name: arrow
  dependency-type: direct:production
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* Bump arrow from 0.13.1 to 0.15.1 (#232)

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.13.1...0.15.1)

---
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- dependency-name: arrow
  dependency-type: direct:production
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* Version bump

* added mock unit tests (#233)

Co-authored-by: Neelay Shah <shahnh19@gmail.com>
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Co-authored-by: NeelayS <shahnh19@gmail.com>
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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

Co-authored-by: Prajnan Goswami <89991031+prajnan93@users.noreply.github.com>

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

* Bump oauthlib from 3.1.1 to 3.2.1 in /docs (#245)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

---
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- dependency-name: oauthlib
  dependency-type: direct:production
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.1.1...v3.2.1)

---
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- dependency-name: oauthlib
  dependency-type: direct:production
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* Bump protobuf from 3.17.3 to 3.18.3 in /docs (#247)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

---
updated-dependencies:
- dependency-name: protobuf
  dependency-type: direct:production
...

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](https://github.com/protocolbuffers/protobuf/compare/v3.17.3...v3.18.3)

---
updated-dependencies:
- dependency-name: protobuf
  dependency-type: direct:production
...

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

* Bump certifi from 2021.5.30 to 2022.12.7 in /docs (#250)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

---
updated-dependencies:
- dependency-name: certifi
  dependency-type: direct:production
...

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
- [Commits](https://github.com/certifi/python-certifi/compare/2021.05.30...2022.12.07)

---
updated-dependencies:
- dependency-name: certifi
  dependency-type: direct:production
...

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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Co-authored-by: Devroop Kar <33129624+kardevroop@users.noreply.github.com>
Co-authored-by: Neelay Shah <neelay.shah@tuebingen.mpg.de>

* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

* Add tagged commit trigger for deployment workflow (#214)

* Update training config file to comply with the changes in the trainer (#215)

* Updated trai…
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