why override the default step()

[QasimWani]

baby-a3c/baby-a3c.py

Lines 72 to 78 in 85899d7

	def step(self, closure=None):
	for group in self.param_groups:
	for p in group['params']:
	if p.grad is None: continue
	self.state[p]['shared_steps'] += 1
	self.state[p]['step'] = self.state[p]['shared_steps'][0] - 1 # a "step += 1" comes later
	super.step(closure)

Why did you override the default implementation of step(closure)? The default one calculates exponential moving average. Your implementation doesn't calculate the step count because it always returns None. I looked over torch's documentation for step() but couldn't understand exactly why you chose to overide the step function.
Kindly review the following PR: #9