Keras 3 preset format weight saving/loading

[innat]

Short Description

Keras 3 introduces new preset format.

def vswin_tiny_backbone():
    backbone=VideoSwinBackbone(
        input_shape=(32, 224, 224, 3), 
        embed_dim=96,
        depths=[2, 2, 6, 2],
        num_heads=[3, 6, 12, 24],
        include_rescaling=False, 
    )
    backbone.load_weights(
        'videoswin_tiny_kinetics400.weights.h5'
    )
    return backbone
    
    
def vswin_tiny_classifier():
    backbone=vswin_tiny_backbone()
    keras_model = VideoClassifier(
        backbone=backbone,
        num_classes=400,
        activation=None,
        pooling='avg',
    )
    keras_model.load_weights(
        'videoswin_tiny_kinetics400_classifier.weights.h5'
    )
    return keras_model

backbone = vswin_tiny_backbone()
preset_utils.save_to_preset(backbone, 'videoswin_tiny', save_weights=False)

backbone = vswin_tiny_backbone()
preset_utils.save_to_preset(backbone, 'videoswin_tiny_kinetics400')

classifier = vswin_tiny_classifier()
preset_utils.save_to_preset(classifier, 'videoswin_tiny_kinetics400_classifier')

testing.