brainpy.optim.ExponentialLR
brainpy.optim.ExponentialLR#
- class brainpy.optim.ExponentialLR(lr, gamma, last_epoch=- 1)[source]#
Decays the learning rate of each parameter group by gamma every epoch. When last_epoch=-1, sets initial lr as lr.
- Parameters
Methods
__init__
(lr, gamma[, last_epoch])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, ...)save_states
(filename[, variables])Save the model states.
state_dict
()Returns a dictionary containing a whole state of the module.
step_call
()step_epoch
()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.
vars
([method, level, include_self, ...])Collect all variables in this node and the children nodes.
Attributes
name
Name of the model.