blepping
88dd9340aa
Allow fading out CA downscale. Use a pixel increment when scaling to ensure more compatible sizes. Allow multiplying tensors on input/out for both RAUNet and MSW-MSA attention. Add an auto model type for simple nodes and try to guess the model. Allow CA scaling to use different factors for width and height. Default CA downscaling method is now adaptive_avg_pool2d (and also add that scaling type). CA input block scaling can now apply after the skip connection like Kohya Deep Shrink. Various refactoring and cleanups.
44 lines
548 B
TOML
44 lines
548 B
TOML
[lint]
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ignore = [
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"ANN001",
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"ANN101",
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"ANN102",
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"ANN201",
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"ANN202",
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"ANN204",
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"ANN206",
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"C901",
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"CPY001",
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"D100",
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"D101",
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"D102",
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"D103",
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"D104",
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"D105",
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"D107",
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"D211",
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"D213",
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"E402",
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"E501",
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"EM101",
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"ERA001",
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"F403",
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"F405",
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"FBT001",
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"FBT002",
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"G004",
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"PLR0912",
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"PLR0913",
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"PLR0915",
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"PLR2004",
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"PLR6104",
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"T201",
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"TD001",
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"TD002",
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"TD003",
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"TRY003",
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"N802",
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"N999",
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]
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select = ["ALL"]
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