brainpy.math.NeuTimeDelay

class brainpy.math.NeuTimeDelay(delay_target, delay_len, before_t0=None, t0=0.0, dt=None, name=None, interp_method='linear_interp')

Neutral Time Delay. Alias of TimeDelay.

__init__(delay_target, delay_len, before_t0=None, t0=0.0, dt=None, name=None, interp_method='linear_interp')

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, compatible])	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[, var_cls])
reset(delay_target, delay_len[, t0, before_t0])	Reset the delay variable.
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)	Unflatten the data to construct an object of this class.
unique_name([name, type_])	Get the unique name for this object.
update(value)
vars([method, level, include_self, ...])	Collect all variables in this node and the children nodes.

Attributes

name	Name of the model.