brainpy.math.NeuLenDelay
brainpy.math.NeuLenDelay#
- class brainpy.math.NeuLenDelay(delay_target, delay_len, initial_delay_data=None, name=None, batch_axis=None, update_method='rotation')[source]#
Neutral Length Delay. Alias of
LengthDelay
.- __init__(delay_target, delay_len, initial_delay_data=None, name=None, batch_axis=None, update_method='rotation')#
Methods
__init__
(delay_target, delay_len[, ...])cpu
()Move all variable into the CPU device.
cuda
()Move all variables into the GPU device.
load_state_dict
(state_dict[, warn])Copy parameters and buffers from
state_dict
into this module and its descendants.load_states
(filename[, verbose])Load the model states.
nodes
([method, level, include_self])Collect all children nodes.
register_implicit_nodes
(*nodes[, node_cls])register_implicit_vars
(*variables, ...)reset
(delay_target[, delay_len, ...])retrieve
(delay_len, *indices)Retrieve the delay data acoording to the delay length.
save_states
(filename[, variables])Save the model states.
state_dict
()Returns a dictionary containing a whole state of the module.
to
(device)Moves all variables into the given device.
tpu
()Move all variables into the TPU device.
train_vars
([method, level, include_self])The shortcut for retrieving all trainable variables.
tree_flatten
()Flattens the object as a PyTree.
tree_unflatten
(aux, dynamic_values)New in version 2.3.1.
unique_name
([name, type_])Get the unique name for this object.
update
(value)Update delay variable with the new data.
vars
([method, level, include_self, ...])Collect all variables in this node and the children nodes.
Attributes
delay_shape
The data shape of this delay variable.
delay_target_shape
The data shape of the delay target.
name
Name of the model.