from scheduler import Schedule
line = (Schedule(length=10).every(1).do(lambda step, scope: print(
".", end="")).whileTrue(lambda step, scope: step < scope["length"]))
line.then().do(lambda step, scope: print())
line.withScope(length=10).execute()
triangle = Schedule().every(1).do(
lambda step, scope: line.withScope(length=step))
triangle.first().do(line)
triangle.forNext(20).execute()
triangle.then().do(line)
Schedule(h=10).every(1).do(line).until(
lambda step, scope: step == scope["h"]).execute()
print(f"Learning rate: {scope['learning_rate']}")
def save(step, scope):
print("Export...")
def update_g(step, scope):
print("Update G")
def update_d(step, scope):
print("Update D")
def plot_training(step, scope):
print("Plot")
batch = Schedule().first().do(batch_info)
batch.forNext(5).every(1).do(update_g)
batch.then().do(update_d)
training = Schedule()
training.every(1).do(lambda step, scope: batch.withScope(
learning_rate=scope.get("learning_rate", 5 / (step + 5))))
training.every(10).do(save)
training.every(10).do(plot_training)
training.forNext(20)
training.then().do(training.withScope(learning_rate=0.1).forNext(20))
training.execute()
