Sigmoid

class vision_architectures.schedulers.sigmoid.SigmoidScheduler(min_y=0.0, max_y=1.0, min_x=-7, max_x=7)

Bases: object

__init__(min_y=0.0, max_y=1.0, min_x=-7, max_x=7)

set_num_steps(num_steps)

is_ready()

is_completed()

get()

step()

class vision_architectures.schedulers.sigmoid.SigmoidLR(optimizer, min_lr, max_lr, total_steps, min_x=-3.0, max_x=3.0, last_epoch=-1, verbose='deprecated')

Bases: LRScheduler

__init__(optimizer, min_lr, max_lr, total_steps, min_x=-3.0, max_x=3.0, last_epoch=-1, verbose='deprecated')

get_lr()

Compute learning rate using chainable form of the scheduler.

step(epoch=None)

Perform a step.