Option to normalize latent interpolation images #438
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## master #438 +/- ##
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- Coverage 80.89% 80.74% -0.15%
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Files 100 100
Lines 5704 5707 +3
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- Hits 4614 4608 -6
- Misses 1090 1099 +9
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ananyahjha93
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Dec 8, 2020
SeanNaren
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Dec 8, 2020
chris-clem
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Dec 9, 2020
* add option to normalize latent interpolation images * linspace * update Co-authored-by: ananyahjha93 <[email protected]>
chris-clem
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Dec 16, 2020
* add option to normalize latent interpolation images * linspace * update Co-authored-by: ananyahjha93 <[email protected]>
chris-clem
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Dec 17, 2020
* add option to normalize latent interpolation images * linspace * update Co-authored-by: ananyahjha93 <[email protected]>
Borda
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* Add DCGAN module * Undo black on conf.py * Add tests for DCGAN * Fix flake8 and codefactor * Add types and small refactoring * Make image sampler callback work * Upgrade DQN to use .log (#404) * Upgrade DQN to use .log * remove unused * pep8 * fixed other dqn * fix loss test case for batch size variation (#402) * Decouple DataModules from Models - CPCV2 (#386) * Decouple dms from CPCV2 * Update tests * Add docstrings, fix import, and update changelog * Update transforms * bugfix: batch_size parameter for DataModules remaining (#344) * bugfix: batch_size for DataModules remaining * Update sklearn datamodule tests * Fix default_transforms. Keep internal for every data module * fix typo on binary_mnist_datamodule thanks @akihironitta Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Akihiro Nitta <[email protected]> * Fix a typo/copy paste error (#415) * Just a Typo (#413) missing a ' at the end of dataset='stl10 * Remove unused arguments (#418) * tests: Use cached datasets in LitMNIST and the doctests (#414) * Use cached datasets * Use cached datasets in doctests * clear replay buffer after trajectory (#425) * stale: update label * bugfix: Add missing imports to pl_bolts/__init__.py (#430) * Add missing imports * Add missing imports * Apply isort * Fix CIFAR num_samples (#432) * Add static type checker mypy to the tests and pre-commit hooks (#433) * Add mypy check to GitHub Actions * Run mypy on pl_bolts only * Add mypy check to pre-commit * Add an empty line at the end of files * Update mypy config * Update mypy config * Update mypy config * show Co-authored-by: Jirka Borovec <[email protected]> * missing logo * Add type annotations to pl_bolts/__init__.py (#435) * Run mypy on pl_bolts only * Update mypy config * Add type hints to pl_bolts/__init__.py * mypy Co-authored-by: Jirka Borovec <[email protected]> * skip hanging (#437) * Option to normalize latent interpolation images (#438) * add option to normalize latent interpolation images * linspace * update Co-authored-by: ananyahjha93 <[email protected]> * 0.2.6rc1 * Warnings fix (#449) * Revert "Merge pull request #1 from ganprad/warnings_fix" This reverts commit 7c5aaf0. * Fixes warning related np.integer in SklearnDataModule Fixes this warning: ```DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32```` * Refactor datamodules/datasets (#338) * Remove try: ... except: ... * Fix experience_source * Fix imagenet * Fix kitti * Fix sklearn * Fix vocdetection * Fix typo * Remove duplicate * Fix by flake8 * Add optional packages availability vars * binary_mnist * Use pl_bolts._SKLEARN_AVAILABLE * Apply isort * cifar10 * mnist * cityscapes * fashion mnist * ssl_imagenet * stl10 * cifar10 * dummy * fix city * fix stl10 * fix mnist * ssl_amdim * remove unused DataLoader and fix docs * use from ... import ... * fix pragma: no cover * Fix forward reference in annotations * binmnist * Same order as imports * Move vars from __init__ to utils/__init__ * Remove vars from __init__ * Update vars * Apply isort * update min requirements - PL 1.1.1 (#448) * update min requirements * rc0 * imports * isort * flake8 * 1.1.1 * flake8 * docs * Add missing optional packages to `requirements/*.txt` (#450) * Import matplotlib at the top * Add missing optional packages * Update wandb * Add mypy to requirements * update Isort (#457) * Adding flags to datamodules (#388) * Adding flags to datamodules * Finishing up changes * Fixing syntax error * More syntax errors * More * Adding drop_last flag to sklearn test * Adding drop_last flag to sklearn test * Updating doc for reflect drop_last=False * Adding flags to datamodules * Finishing up changes * Fixing syntax error * More syntax errors * More * Adding drop_last flag to sklearn test * Adding drop_last flag to sklearn test * Updating doc for reflect drop_last=False * Cleaning up parameters and docstring * Fixing syntax error * Fixing documentation * Hardcoding shuffle=False for val and test * Add DCGAN module * Small fixes * Remove DataModules * Update docs * Update docs * Update torchvision import * Import gym as optional package to build docs successfully (#458) * Import gym as optional package * Fix import * Apply isort * bugfix: batch_size parameter for DataModules remaining (#344) * bugfix: batch_size for DataModules remaining * Update sklearn datamodule tests * Fix default_transforms. Keep internal for every data module * fix typo on binary_mnist_datamodule thanks @akihironitta Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Akihiro Nitta <[email protected]> * Option to normalize latent interpolation images (#438) * add option to normalize latent interpolation images * linspace * update Co-authored-by: ananyahjha93 <[email protected]> * update min requirements - PL 1.1.1 (#448) * update min requirements * rc0 * imports * isort * flake8 * 1.1.1 * flake8 * docs * Apply suggestions from code review * Apply suggestions from code review * Add docs * Use LSUN instead of CIFAR10 * Update TensorboardGenerativeModelImageSampler * Update docs with lsun * Update test * Revert TensorboardGenerativeModelImageSampler changes * Remove ModelCheckpoint callback and nrow=5 arg * Apply suggestions from code review * Fix test_dcgan * Apply yapf * Apply suggestions from code review Co-authored-by: Teddy Koker <[email protected]> Co-authored-by: Sidhant Sundrani <[email protected]> Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Héctor Laria <[email protected]> Co-authored-by: Bartol Karuza <[email protected]> Co-authored-by: Happy Sugar Life <[email protected]> Co-authored-by: Jirka Borovec <[email protected]> Co-authored-by: Jirka Borovec <[email protected]> Co-authored-by: ananyahjha93 <[email protected]> Co-authored-by: Pradeep Ganesan <[email protected]> Co-authored-by: Brian Ko <[email protected]> Co-authored-by: Christoph Clement <[email protected]>
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What does this PR do?
Adds
normalizeoption to theLatentInterpolatorcallback; useful if decodergenerates 0-centered images instead of (0, 1) images.