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hub / github.com/NVlabs/DiffPure / __init__

Method __init__

classifiers/attribute_net.py:158–197  ·  view source on GitHub ↗
(
            self,
            num_channels=3,  # Number of input color channels. Overridden based on dataset.
            resolution=128,  # Input resolution. Overridden based on dataset.
            fmap_base=8192,  # Overall multiplier for the number of feature maps.
            fmap_decay=1.0,  # log2 feature map reduction when doubling the resolution.
            fmap_max=512,  # Maximum number of feature maps in any layer.
            fixed_size=False,  # True = load fromrgb_lod0 weights only
            use_mbstd=True,  # False = no mbstd layer in PredictionBlock
            **kwargs)

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Callers 8

__init__Method · 0.45
__init__Method · 0.45
__init__Method · 0.45
__init__Method · 0.45
__init__Method · 0.45
__init__Method · 0.45
__init__Method · 0.45
__init__Method · 0.45

Calls 4

FromRGBClass · 0.85
DownscaleConvBlockClass · 0.85
PredictionBlockClass · 0.85
Downscale2dClass · 0.85

Tested by

no test coverage detected