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DataModules: run all data augmentation on the GPU #992

Merged
merged 108 commits into from
Jan 23, 2023
Merged

DataModules: run all data augmentation on the GPU #992

merged 108 commits into from
Jan 23, 2023

Commits on Jan 23, 2023

  1. DataModules: run all data augmentation on the GPU

    @adamjstewart
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  2. Passing tests

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  3. Update BigEarthNet

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  4. Break ChesapeakeCVPR

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  5. Update COWC

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  6. Update Cyclone

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  7. Update ETCI2021

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  8. mypy fixes

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  9. Update FAIR1M

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  10. Update Inria

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  11. Update LandCoverAI

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  12. Update LoveDA

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  13. Update NAIP

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  14. Update NASA

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  15. Update OSCD

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  16. Update RESISC45

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  17. Update SEN12MS

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  18. Update So2Sat

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  19. Update SpaceNet

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  20. Update UCMerced

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  21. Update USAVars

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  22. Update xview

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  23. Remove seed

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  24. mypy fixes

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  25. OSCD hacks

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  26. Add NonGeoDataModule base class

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  27. Fixes

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  28. Add base class to docs

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  29. mypy fixes

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  30. Fix several tests

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  31. Fix Normalize

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  32. Syntax error

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  33. Fix bigearthnet

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  34. Fix dtype

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  35. Consistent kornia import

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  36. Get regression datasets working

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  37. Fix detection tests

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  38. Fix some chesapeake bugs

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  39. Fix several segmentation issues

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  40. isort fixes

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  41. Undo breaking change

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  42. Remove more code duplication, standardize docstrings

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  43. mypy fixes

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  44. Add default augmentation

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  45. Augmentations can be any callable

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  46. Fix datasets tests

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  47. Fix datamodule tests

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  48. Fix more datamodules

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  49. Typo fix

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  50. Set up val_dataset even when fit

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  51. Fix classification tests

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  52. Fix ETCI2021

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  53. Fix SEN12MS

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  54. Add GeoDataModule base class

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  55. Fix several chesapeake bugs

    @adamjstewart
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  56. Fix dtype and shape

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  57. Fix crs/bbox issue

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  58. Fix test dtype

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  59. Fix unequal size stacking error

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  60. flake8 fix

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  61. Better checks on sampler

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  62. Fix bug introduced in NAIP dm

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  63. Fix chesapeake dimensions

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  64. Add one to mask

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  65. Fix missing imports

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  66. Fix batch size

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  67. Simplify augmentations

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  68. Don't run test or predict without datasets

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  69. Fix tests

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  70. Allow shared dataset

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  71. One more try

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  72. Fix typo

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  73. Fix another typo

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  74. Fix Chesapeake dimensions

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  75. Apply augmentations during sanity check too

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  76. Don't reuse fixtures

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  77. Increase coverage

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  78. Fix ETCI tests

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  79. Test predict_step

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  80. Test all loss methods

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  81. Simplify validation plotting

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  82. Document new classes

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  83. Fix plotting

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  84. Plotting should be robust in case dataset does not contain RGB bands

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  85. Fix flake8

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  86. 100% coverage of trainers

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  87. Add lightning-lite dependency

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  88. Revert "Add lightning-lite dependency" 

    This reverts commit 1df7291.
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  89. Define our own MisconfigurationException

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  90. Properly test new data module base classes

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  91. Fix mistake in setup call

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  92. ExtractTensorPatches runs into OOM errors

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  93. Test both fast_dev_run True and False

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  94. Fix plot methods

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  95. Fix OSCD tests

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  96. Fix bug with inconsistent train/val/test splits between stages

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  97. Fix issues with images of different sizes

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  98. Fix OSCD tests

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  99. Fix OSCD tests

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  100. Bad rebase

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  101. No trainer for OSCD so no need for config

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  102. Bad rebase

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  103. plot: only works during validation

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  104. Fix collation of NASA Marine Debris dataset

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  105. flake8 fix

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  106. Quick test

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  107. Revert "Quick test" 

    This reverts commit f465efc.
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  108. 56 workers is a bit excessive

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