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Bump arrow from 0.13.1 to 0.15.1 #232

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Bumps arrow from 0.13.1 to 0.15.1.

Release notes

Sourced from arrow's releases.

Version 0.15.1

  • [FIX] Fixed a bug that caused Arrow to fail when passed a negative timestamp string.
  • [FIX] Fixed a bug that caused Arrow to fail when passed a datetime object with tzinfo of type StaticTzInfo.

Version 0.15.0

  • [NEW] Added support for DDD and DDDD ordinal date tokens. The following functionality is now possible: arrow.get("1998-045"), arrow.get("1998-45", "YYYY-DDD"), arrow.get("1998-045", "YYYY-DDDD").
  • [NEW] ISO 8601 basic format for dates and times is now supported (e.g. YYYYMMDDTHHmmssZ).
  • [NEW] Added humanize week granularity translations for French, Russian and Swiss German locales.
  • [CHANGE] Timestamps of type str are no longer supported without a format string in the arrow.get() method. This change was made to support the ISO 8601 basic format and to address bugs such as #447.
# will NOT work in v0.15.0
arrow.get("1565358758")
arrow.get("1565358758.123413")
will work in v0.15.0
arrow.get("1565358758", "X")
arrow.get("1565358758.123413", "X")
arrow.get(1565358758)
arrow.get(1565358758.123413)

  • [CHANGE] When a meridian token (a|A) is passed and no meridians are available for the specified locale (e.g. unsupported or untranslated) a ParserError is raised.
  • [CHANGE] The timestamp token (X) will now match float timestamps of type str: arrow.get(“1565358758.123415”, “X”).
  • [CHANGE] Strings with leading and/or trailing whitespace will no longer be parsed without a format string. Please see the docs for ways to handle this.
  • [FIX] The timestamp token (X) will now only match on strings that strictly contain integers and floats, preventing incorrect matches.
  • [FIX] Most instances of arrow.get() returning an incorrect Arrow object from a partial parsing match have been eliminated. The following issue have been addressed: #91, #196, #396, #434, #447, #456, #519, #538, #560.

Version 0.14.7

  • [CHANGE] ArrowParseWarning will no longer be printed on every call to arrow.get() with a datetime string. The purpose of the warning was to start a conversation about the upcoming 0.15.0 changes and we appreciate all the feedback that the community has given us!

Version 0.14.6

  • [NEW] Added support for week granularity in Arrow.humanize(). For example, arrow.utcnow().shift(weeks=-1).humanize(granularity="week") outputs "a week ago". This change introduced two new untranslated words, week and weeks, to all locale dictionaries, so locale contributions are welcome!
  • [NEW] Fully translated the Brazilian Portugese locale.
  • [CHANGE] Updated the Macedonian locale to inherit from a Slavic base.
  • [FIX] Fixed a bug that caused arrow.get() to ignore tzinfo arguments of type string (e.g. arrow.get(tzinfo="Europe/Paris")).
  • [FIX] Fixed a bug that occurred when arrow.Arrow() was instantiated with a pytz tzinfo object.
  • [FIX] Fixed a bug that caused Arrow to fail when passed a sub-second token, that when rounded, had a value greater than 999999 (e.g. arrow.get("2015-01-12T01:13:15.9999995")). Arrow should now accurately propagate the rounding for large sub-second tokens.

Version 0.14.5

  • Added Afrikaans locale.
  • Removed deprecated replace shift functionality.
  • Fixed bug that occurred when factory.get() was passed a locale kwarg. (#630 )

Version 0.14.4

  • Fixed a regression in 0.14.3 that prevented a tzinfo argument of type string to be passed to the get() function. Functionality such as arrow.get("2019072807", "YYYYMMDDHH", tzinfo="UTC") should work as normal again.
  • Moved backports.functools_lru_cache dependency from extra_requires to install_requires for Python 2.7 installs to fix #495.

Version 0.14.3

  • Added full support for Python 3.8.

... (truncated)

Changelog

Sourced from arrow's changelog.

0.15.1 (2019-09-10)

  • [NEW] Added humanize week granularity translations for Japanese.
  • [FIX] Fixed a bug that caused Arrow to fail when passed a negative timestamp string.
  • [FIX] Fixed a bug that caused Arrow to fail when passed a datetime object with tzinfo of type StaticTzInfo.

0.15.0 (2019-09-08)

  • [NEW] Added support for DDD and DDDD ordinal date tokens. The following functionality is now possible: arrow.get("1998-045"), arrow.get("1998-45", "YYYY-DDD"), arrow.get("1998-045", "YYYY-DDDD").
  • [NEW] ISO 8601 basic format for dates and times is now supported (e.g. YYYYMMDDTHHmmssZ).
  • [NEW] Added humanize week granularity translations for French, Russian and Swiss German locales.
  • [CHANGE] Timestamps of type str are no longer supported without a format string in the arrow.get() method. This change was made to support the ISO 8601 basic format and to address bugs such as [#447](https://github.com/arrow-py/arrow/issues/447) <https://github.com/arrow-py/arrow/issues/447>_.

The following will NOT work in v0.15.0:

.. code-block:: python

>>> arrow.get("1565358758")
>>> arrow.get("1565358758.123413")

The following will work in v0.15.0:

.. code-block:: python

>>> arrow.get("1565358758", "X")
>>> arrow.get("1565358758.123413", "X")
>>> arrow.get(1565358758)
>>> arrow.get(1565358758.123413)
  • [CHANGE] When a meridian token (a|A) is passed and no meridians are available for the specified locale (e.g. unsupported or untranslated) a ParserError is raised.
  • [CHANGE] The timestamp token (X) will now match float timestamps of type str: arrow.get(“1565358758.123415”, “X”).
  • [CHANGE] Strings with leading and/or trailing whitespace will no longer be parsed without a format string. Please see the docs <https://arrow.readthedocs.io/#regular-expressions>_ for ways to handle this.
  • [FIX] The timestamp token (X) will now only match on strings that strictly contain integers and floats, preventing incorrect matches.
  • [FIX] Most instances of arrow.get() returning an incorrect Arrow object from a partial parsing match have been eliminated. The following issue have been addressed: [#91](https://github.com/arrow-py/arrow/issues/91) <https://github.com/arrow-py/arrow/issues/91>, [#196](https://github.com/arrow-py/arrow/issues/196) <https://github.com/arrow-py/arrow/issues/196>, [#396](https://github.com/arrow-py/arrow/issues/396) <https://github.com/arrow-py/arrow/issues/396>, [#434](https://github.com/arrow-py/arrow/issues/434) <https://github.com/arrow-py/arrow/issues/434>, [#447](https://github.com/arrow-py/arrow/issues/447) <https://github.com/arrow-py/arrow/issues/447>, [#456](https://github.com/arrow-py/arrow/issues/456) <https://github.com/arrow-py/arrow/issues/456>, [#519](https://github.com/arrow-py/arrow/issues/519) <https://github.com/arrow-py/arrow/issues/519>, [#538](https://github.com/arrow-py/arrow/issues/538) <https://github.com/arrow-py/arrow/issues/538>, [#560](https://github.com/arrow-py/arrow/issues/560) <https://github.com/arrow-py/arrow/issues/560>_.

0.14.7 (2019-09-04)

  • [CHANGE] ArrowParseWarning will no longer be printed on every call to arrow.get() with a datetime string. The purpose of the warning was to start a conversation about the upcoming 0.15.0 changes and we appreciate all the feedback that the community has given us!

0.14.6 (2019-08-28)

  • [NEW] Added support for week granularity in Arrow.humanize(). For example, arrow.utcnow().shift(weeks=-1).humanize(granularity="week") outputs "a week ago". This change introduced two new untranslated words, week and weeks, to all locale dictionaries, so locale contributions are welcome!
  • [NEW] Fully translated the Brazilian Portuguese locale.
  • [CHANGE] Updated the Macedonian locale to inherit from a Slavic base.
  • [FIX] Fixed a bug that caused arrow.get() to ignore tzinfo arguments of type string (e.g. arrow.get(tzinfo="Europe/Paris")).
  • [FIX] Fixed a bug that occurred when arrow.Arrow() was instantiated with a pytz tzinfo object.

... (truncated)

Commits

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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>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jun 28, 2022
@NeelayS NeelayS merged commit 2f63ede into main Jun 28, 2022
@NeelayS NeelayS deleted the dependabot/pip/arrow-0.15.1 branch June 28, 2022 15:23
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
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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.
- [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)
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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

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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.
- [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)
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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](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)
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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)
- [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.
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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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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)

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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

* 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)
- [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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* 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)

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)
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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.
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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

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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.
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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.
- [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

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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)
- [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)
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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)
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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)
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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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* 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)
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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

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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)
- [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.
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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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* 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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- [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.
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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.
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- [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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- [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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* 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.
- [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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- [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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* 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)

---
updated-dependencies:
- dependency-name: arrow
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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

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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)
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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)

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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 …
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.
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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](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)
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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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* 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.
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- [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.
- [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

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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)
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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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* 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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* 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-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-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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* 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
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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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- 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)

---
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- 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)

---
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- 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)

---
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- 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: 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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