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Bump protobuf from 3.17.3 to 3.18.3 #246

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@dependabot dependabot bot commented on behalf of github Sep 23, 2022

Bumps protobuf from 3.17.3 to 3.18.3.

Release notes

Sourced from protobuf's releases.

Protocol Buffers v3.18.3

C++

Protocol Buffers v3.18.2

Java

  • Improve performance characteristics of UnknownFieldSet parsing (#9371)

Protocol Buffers v3.18.1

Python

  • Update setup.py to reflect that we now require at least Python 3.5 (#8989)
  • Performance fix for DynamicMessage: force GetRaw() to be inlined (#9023)

Ruby

  • Update ruby_generator.cc to allow proto2 imports in proto3 (#9003)

Protocol Buffers v3.18.0

C++

  • Fix warnings raised by clang 11 (#8664)
  • Make StringPiece constructible from std::string_view (#8707)
  • Add missing capability attributes for LLVM 12 (#8714)
  • Stop using std::iterator (deprecated in C++17). (#8741)
  • Move field_access_listener from libprotobuf-lite to libprotobuf (#8775)
  • Fix #7047 Safely handle setlocale (#8735)
  • Remove deprecated version of SetTotalBytesLimit() (#8794)
  • Support arena allocation of google::protobuf::AnyMetadata (#8758)
  • Fix undefined symbol error around SharedCtor() (#8827)
  • Fix default value of enum(int) in json_util with proto2 (#8835)
  • Better Smaller ByteSizeLong
  • Introduce event filters for inject_field_listener_events
  • Reduce memory usage of DescriptorPool
  • For lazy fields copy serialized form when allowed.
  • Re-introduce the InlinedStringField class
  • v2 access listener
  • Reduce padding in the proto's ExtensionRegistry map.
  • GetExtension performance optimizations
  • Make tracker a static variable rather than call static functions
  • Support extensions in field access listener
  • Annotate MergeFrom for field access listener
  • Fix incomplete types for field access listener
  • Add map_entry/new_map_entry to SpecificField in MessageDifferencer. They record the map items which are different in MessageDifferencer's reporter.
  • Reduce binary size due to fieldless proto messages
  • TextFormat: ParseInfoTree supports getting field end location in addition to start.
  • Fix repeated enum extension size in field listener
  • Enable Any Text Expansion for Descriptors::DebugString()
  • Switch from int{8,16,32,64} to int{8,16,32,64}_t

... (truncated)

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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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- dependency-name: protobuf
  dependency-type: direct:production
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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Sep 23, 2022
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Codecov Report

Merging #246 (ee9b509) into main (5a84572) will decrease coverage by 0.06%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##             main     #246      +/-   ##
==========================================
- Coverage   87.96%   87.90%   -0.07%     
==========================================
  Files          64       62       -2     
  Lines        2975     2960      -15     
==========================================
- Hits         2617     2602      -15     
  Misses        358      358              
Impacted Files Coverage Δ
ezflow/models/__init__.py
ezflow/utils/__init__.py

@NeelayS NeelayS merged commit 39d21ae into main Sep 27, 2022
@NeelayS NeelayS deleted the dependabot/pip/protobuf-3.18.3 branch September 27, 2022 11:53
prajnan93 added a commit that referenced this pull request Dec 14, 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)
- [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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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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- 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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- dependency-name: cookiecutter
  dependency-type: direct:production
...

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

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

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

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* Version bump

* added mock unit tests (#233)

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

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

* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

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

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [Commits](protocolbuffers/protobuf@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](certifi/python-certifi@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](certifi/python-certifi@2021.05.30...2022.12.07)

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

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

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

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

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

* Made changes to default base trainer config as well

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

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

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

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

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

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

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

* Loosened requirements (#228)

* Loosened requirements (#229)

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

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

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

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

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.13.1 to 0.15.1.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](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.
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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)
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [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.
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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)
- [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)
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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.
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* Loosened requirements (#228)

* Loosened requirements (#229)

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

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

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

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

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

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

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

* Removed version info from docs config

* Fixed autodoc errors

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

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

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

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

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

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

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

* Made changes to default base trainer config as well

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

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

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

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

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* Loosened requirements (#228)

* Loosened requirements (#229)

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

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

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

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

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

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

* sync main (#254)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
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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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* Added advanced spatial augmentations and other fixes (#252)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

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

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

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

* Made changes to default base trainer config as well

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

This reverts commit 6386fcb.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

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

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

* Loosened requirements (#229)

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

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

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

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

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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

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

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

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* Fix docs errors (#248)

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

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

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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

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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)

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

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

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

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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.
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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

* Removed version info from docs config

* Fixed autodoc errors

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

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

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

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

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* 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.
- [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)
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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

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

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

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

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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* 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.
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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 (#215)

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

* Made changes to default base trainer config as well

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

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

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

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

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* Loosened requirements (#228)

* Loosened requirements (#229)

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

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

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

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

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

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

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* Version bump

* added mock unit tests (#233)

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* bugfix: unbounded cropsize

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

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

* Removed version info from docs config

* Fixed autodoc errors

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

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

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

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

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

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* update model configs

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

* Removed version info from docs config

* Fixed autodoc errors

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

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

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

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

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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* update package version (#253)

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

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

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

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

* added mock unit tests (#233)

* merge ddp fix to development (#235)

* Bump version for DDP fix release

* Development (#234)

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

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

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

* Made changes to default base trainer config as well

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

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

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

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

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* Loosened requirements (#228)

* Loosened requirements (#229)

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

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

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

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

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

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

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* Version bump

* added mock unit tests (#233)

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

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

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

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

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

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

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

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

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

* update package version

* sync main (#254)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.17.3 to 3.18.3.
- [Release notes](https://github.com/protocolbuffers/protobuf/releases)
- [Changelog](https://github.com/protocolbuffers/protobuf/blob/main/generate_changelog.py)
- [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)
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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 (#215)

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

* Made changes to default base trainer config as well

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

This reverts commit 6386fcbe7d933feb77685ae4fac07d68d06bfb4a.

* fix training logs (#219)

* fix training logs

* setup local rank in ddp

* fix step trainer logs

* fix: save best final model

* fix date time format

* refactor common code

* refactor common code

* refactor

* fix: dataloader size for multi gpu

* added BaseModule for freeze batch norm

* added BaseModule

* updated models with BaseModule

* removed avg training time

* removed avg training time

* fix unit test

* added batch norm config to trainer

* fix unit test engine

* update step trainer

* empty cuda cache

* fix: ddp training

* added mock unit tests (#225)

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

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

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* Loosened requirements (#228)

* Loosened requirements (#229)

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

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

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

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

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* Bump arrow from 0.13.1 to 0.15.1 (#232)

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

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* Version bump

* added mock unit tests (#233)

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

* fix ddp tensorboard logging

* Added Augmentation Operations and unit tests (#237)

* Added new augment ops and normalization

* Added uni test for augmentation

* Changed uni test for augmentation

* Augmentation changes

* Fixed issue

* Added translate func fix and documentation

* Made suggested changes and  unit tested

* Normalize param issue fix

* Duplicate removal and norm_param style change

* Fix docstrings

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

* fix tensorboard logging multi-gpu

* fix start step

* update step trainer

* :fix unit test

* Pwcnet refactor (#242)

* PWCNet refactor

* update pwcnet config

* fix model outputs

* fix flow output in evaluation

* fix engine unit tests

* update multiscale loss

* remove total loss logging for step trainer

* console output formatting

* fix dependency

* fix dependency

* remove normalization operation from the model

* update docstring

* update trainer

* update flownet C model

* update flownet c config

* bugfix FlowNetC

* fix flownet_c

* rearrage transformation sequence

* added chromatic augmentations

* added chromatic augmentations

* added chromatic augmentations

* added new spatial transforms to augmentor

* bugfix cropsize

* toggle transformations

* bug fix augmentation

* Augmentations (#243)

* added default behavior

* bugfix: default augmentation behavior

* bugfix: chromatic aug

* fix noise transform

* update trainer

* update flownet_c upsampling

* update logging in trainer

* update ddp training

* bugfix distributed training

* fix min scale

* fix: flow not available in dataset for prediction

* sync main  (#251)

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

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

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* Bump oauthlib from 3.1.1 to 3.2.1 (#244)

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

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

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

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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

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

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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

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

Bumps [certifi](https://github.com/certifi/python-certifi) from 2021.5.30 to 2022.12.7.
- [Release notes](https://github.com/certifi/python-certifi/releases)
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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 model configs

* updated training configs

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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.
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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)
- [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.
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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)
- [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)

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

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.1.1 to 3.2.1.
- [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)

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

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

---
updated-dependencies:
- dependency-name: protobuf
  dependency-type: direct:production
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* Bump protobuf from 3.17.3 to 3.18.3 (#246)

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

---
updated-dependencies:
- dependency-name: protobuf
  dependency-type: direct:production
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* Fix docs errors (#248)

* Removed version info from docs config

* Fixed autodoc errors

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

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

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

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* Bump certifi from 2021.5.30 to 2022.12.7 (#249)

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

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

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* removed chromatic aug

* set default augmentation params

* decouple flip transform

* update aug_params

* bugfix: random flip augmentation

* bugfix: color transformation

* fix engine unit test

* fix functional unit tests

* update Multiscale loss unit test

* fix pre-commit code-style

* fix augmentator color params

* remove duplicate transformations

* update docstring

* update docstrings

* update docstrings

* add Kubric dataset

* update READMe:

* add link to kubric .tfrecord convert script

* update model configs

* updated training configs

* updated training configs

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Co-authored-by: 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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