remove size_bounds arg from Timer

Summary: happened across the Timer class which had documentation for arg which it does not have

Reviewed By: galrotem

Differential Revision: D55167092

fbshipit-source-id: b43209808d5c8ef1667de05780c1fb186b32b69d

Author: JKSenthil

torchtnt/utils/timer.py

@@ -107,9 +107,6 @@ def __init__(
         Args:
             cuda_sync: whether to call torch.cuda.synchronize() before and after timing. Defaults to True if CUDA is available.
             verbose: whether to enable verbose logging.
-            size_bounds: defines the range of samples that should be kept in the timer. The lower bound should be smaller than
-                the upper bound. When the number of samples reaches the upper bound, the oldest (upper-lower) bound samples will
-                be removed. This range is applied per action.
 
         Note:
             Enabling cuda_sync will incur a performance hit, but will ensure accurate timings on GPUs.