Table Of Contents
Table Of Contents

Test

class mxnet.optimizer.Test(**kwargs)[source]

The Test optimizer

__init__(**kwargs)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(**kwargs) Initialize self.
create_optimizer(name, **kwargs) Instantiates an optimizer with a given name and kwargs.
create_state(index, weight) Creates a state to duplicate weight.
create_state_multi_precision(index, weight) Creates auxiliary state for a given weight, including FP32 high precision copy if original weight is FP16.
register(klass) Registers a new optimizer.
set_learning_rate(lr) Sets a new learning rate of the optimizer.
set_lr_mult(args_lr_mult) Sets an individual learning rate multiplier for each parameter.
set_lr_scale(args_lrscale) [DEPRECATED] Sets lr scale.
set_wd_mult(args_wd_mult) Sets an individual weight decay multiplier for each parameter.
update(index, weight, grad, state) Performs w += rescale_grad * grad.
update_multi_precision(index, weight, grad, …) Updates the given parameter using the corresponding gradient and state.

Attributes

learning_rate
opt_registry