SNN2.src.model.layers.CURELayer.tf_cluster module

class module

Use this module to manage a class object.

class SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster(id: int, points: Tensor, n_rep: int = 5, dtype_pt: Type = tf.float32, compression_factor: float = 0.5, representors_subset: Tensor | None = None, tree: Index | None = None)

Bases: object

TfCluster.

Manage a single tensorflow cluster instance

property closest: int

compute_representors(subset: Tensor) → None

property distance_closest: float

dst(x: Self) → float

property id: int

insert_into_tree() → None

property mean: Tensor

classmethod merge(x: Self, y: Self) → Self

min_str() → str

nearest_from_tree(**kwargs) → None

property points: Tensor

remove_from_tree() → None

property rep: Tensor

property reverse_closests: List[Self]

class SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters(points: Tensor, n_rep: int = 5, compression_factor: float = 0.5, tree: Index | None = None)

Bases: object

TfClusters.

Manage a queue of clusters

apply_sort() → None

compute_closest() → None

get(idx: int | None = None) → TfCluster

insert(obj: TfCluster) → None

property iter: List[TfCluster]

pop()

remove(obj: TfCluster) → None

property size: int

update_reverse_closest(c_id, new_closest_id) → None

SNN2.src.model.layers.CURELayer.tf_cluster.glob_dst(local: Tensor, remote: Tensor, local_repeater: Tensor, remote_repeater: Tensor) → float