(inputs, reducer, init_val, rescaler=None,
                     pool_size=(2, 2), strides=None, padding='VALID')
return rescale(out, inputs) if rescale else out
Helper: general pooling computation used in pooling layers later.
Helper: general pooling computation used in pooling layers later.
Helper : general pooling computation used in pooling layers later .
def _pooling_general(inputs, reducer, init_val, rescaler=None,
                     pool_size=(2, 2), strides=None, padding='VALID'):
  """Helper: general pooling computation used in pooling layers later."""
  spatial_strides = strides or (1,) * len(pool_size)
  rescale = rescaler(pool_size, spatial_strides, padding) if rescaler else None
  dims = (1,) + pool_size + (1,)  # NHWC
  strides = (1,) + spatial_strides + (1,)
  out = lax.reduce_window(inputs, init_val, reducer, dims, strides, padding)
  return rescale(out, inputs) if rescale else out
def _pooling_general ( inputs , reducer , init_val , rescaler = None , pool_size = ( 2 , 2 ) , strides = None , padding = 'VALID' ) : spatial_strides = strides or ( 1 , ) * len ( pool_size ) rescale = rescaler ( pool_size , spatial_strides , padding ) if rescaler else None dims = ( 1 , ) + pool_size + ( 1 , ) # NHWC strides = ( 1 , ) + spatial_strides + ( 1 , ) out = lax . reduce_window ( inputs , init_val , reducer , dims , strides , padding ) return rescale ( out , inputs ) if rescale else out