ViTClassifier class - vit_classifier library

Constructors

ViTClassifier({required int imageSize, required int patchSize, int numChannels = 3, required int embedDim, required int numClasses, int numLayers = 4, int numHeads = 4, double dropoutP = 0.0, Device device = Device.CPU, int seed = 0})

backbone → ViTBackbone: final
hashCode → int: The hash code for this object.
no setterinherited
head → Linear: final
numClasses → int: final
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
training ↔ bool: Whether this module is in training mode. Layers that behave differently between training and inference (e.g. Dropout) read this flag in their call method. Defaults to training mode.
getter/setter pairinherited

call(Tensor patchifiedImage) → Tensor: patchifiedImage — [numPatches, patchSize * patchSize * numChannels]. Returns class logits [1, numClasses].
eval() → void: Put this module (and any registered submodules) into evaluation mode.
inherited
noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
parameters() → List<Tensor>: Trainable tensors owned by this module (and its submodules).
override
submodules() → List<Module>: Submodules owned by this module. Subclasses that compose other modules should override this so train() / eval() propagate. Default: empty.
override
toString() → String: A string representation of this object.
inherited
train() → void: Put this module (and any registered submodules) into training mode.
inherited
zeroGrad() → void: Zero every parameter's gradient. Safe to call before each backward.
inherited