Understanding accumulate_grad_batches  parameter? 
I am very new to PL. As far as I understand accumulate_grad_batches works similar to  'gradient_accumulation_steps' , where the main task is to increase the effective batch size.  But I do not see any change in training epoch step count when increasing the  accumulate_grad_batches parameters.
Let's say, I have a dataset of 1000 examples and my batch_size is one and I only use a single GPU. So in this case, if I use the value 2  for the accumulate_grad_batches,  the number of steps for an epoch should be shown as 500 (logger). But I still see 1000.
Is it a bug or PL doesn't divide the number of steps when showing in the log?