Index

A

add_module() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) AlreadyIndexedError

ancestors (hierarchicalsoftmax.nodes.SoftmaxNode property) anchestors (hierarchicalsoftmax.nodes.SoftmaxNode property) apply() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

B

bfloat16() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

buffers() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

C

children (hierarchicalsoftmax.nodes.SoftmaxNode property) children() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) cls_to_become (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear attribute)

cpu() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) cuda() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

D

depth (hierarchicalsoftmax.nodes.SoftmaxNode property) descendants (hierarchicalsoftmax.nodes.SoftmaxNode property)

double() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

E

eval() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

extra_repr() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

F

float() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

focal_loss_with_smoothing() (in module hierarchicalsoftmax.loss) forward() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

G

get_buffer() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) get_child_by_name() (hierarchicalsoftmax.nodes.SoftmaxNode method) get_extra_state() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) get_node_ids() (hierarchicalsoftmax.nodes.SoftmaxNode method) get_node_ids_tensor() (hierarchicalsoftmax.nodes.SoftmaxNode method) get_parameter() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

get_submodule() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) greedy_accuracy() (in module hierarchicalsoftmax.metrics) greedy_accuracy_parent() (in module hierarchicalsoftmax.metrics) greedy_f1_score() (in module hierarchicalsoftmax.metrics) greedy_precision() (in module hierarchicalsoftmax.metrics) greedy_prediction_node_ids() (in module hierarchicalsoftmax.inference) greedy_predictions() (in module hierarchicalsoftmax.inference) greedy_recall() (in module hierarchicalsoftmax.metrics)

H

half() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) has_uninitialized_params() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) height (hierarchicalsoftmax.nodes.SoftmaxNode property) hierarchicalsoftmax.inference module hierarchicalsoftmax.layers module

hierarchicalsoftmax.loss module hierarchicalsoftmax.metrics module hierarchicalsoftmax.nodes module HierarchicalSoftmaxLayerError HierarchicalSoftmaxLazyLinear (class in hierarchicalsoftmax.layers) HierarchicalSoftmaxLinear (class in hierarchicalsoftmax.layers) HierarchicalSoftmaxLoss (class in hierarchicalsoftmax.loss)

I

IndexNotSetError initialize_parameters() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) ipu() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

is_leaf (hierarchicalsoftmax.nodes.SoftmaxNode property) is_root (hierarchicalsoftmax.nodes.SoftmaxNode property) iter_path_reverse() (hierarchicalsoftmax.nodes.SoftmaxNode method)

L

leaf_probabilities() (in module hierarchicalsoftmax.inference) leaves (hierarchicalsoftmax.nodes.SoftmaxNode property) level_order_group_iter() (hierarchicalsoftmax.nodes.SoftmaxNode method)

level_order_iter() (hierarchicalsoftmax.nodes.SoftmaxNode method) load_state_dict() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

M

module hierarchicalsoftmax.inference hierarchicalsoftmax.layers hierarchicalsoftmax.loss hierarchicalsoftmax.metrics hierarchicalsoftmax.nodes

modules() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

N

named_buffers() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) named_children() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

named_modules() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) named_parameters() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) node_probabilities() (in module hierarchicalsoftmax.inference)

P

parameters() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

parent (hierarchicalsoftmax.nodes.SoftmaxNode property) path (hierarchicalsoftmax.nodes.SoftmaxNode property) post_order_iter() (hierarchicalsoftmax.nodes.SoftmaxNode method) pre_order_iter() (hierarchicalsoftmax.nodes.SoftmaxNode method)

R

ReadOnlyError register_backward_hook() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) register_buffer() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) register_forward_hook() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) register_forward_pre_hook() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) register_full_backward_hook() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

register_load_state_dict_post_hook() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) register_module() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) register_parameter() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) render() (hierarchicalsoftmax.nodes.SoftmaxNode method) render_equal() (hierarchicalsoftmax.nodes.SoftmaxNode method) render_probabilities() (in module hierarchicalsoftmax.inference) requires_grad_() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) root (hierarchicalsoftmax.nodes.SoftmaxNode property)

S

set_extra_state() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) set_indexes() (hierarchicalsoftmax.nodes.SoftmaxNode method) set_indexes_if_unset() (hierarchicalsoftmax.nodes.SoftmaxNode method) ShapeError share_memory() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

siblings (hierarchicalsoftmax.nodes.SoftmaxNode property) SoftmaxNode (class in hierarchicalsoftmax.nodes) state_dict() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

T

target_max_depth() (in module hierarchicalsoftmax.metrics) to() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) to_empty() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

train() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method) type() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

W

with_traceback() (hierarchicalsoftmax.inference.ShapeError method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLayerError method) (hierarchicalsoftmax.nodes.AlreadyIndexedError method) (hierarchicalsoftmax.nodes.IndexNotSetError method) (hierarchicalsoftmax.nodes.ReadOnlyError method)

X

xpu() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

Z

zero_grad() (hierarchicalsoftmax.layers.HierarchicalSoftmaxLazyLinear method) (hierarchicalsoftmax.layers.HierarchicalSoftmaxLinear method) (hierarchicalsoftmax.loss.HierarchicalSoftmaxLoss method)

zig_zag_group_iter() (hierarchicalsoftmax.nodes.SoftmaxNode method)