message: Update the minimum requirement of espsilon for batch norm.
diff: @@ -806,8 +806,10 @@ def fused_batch_norm(
  mean = constant_op.constant([])
  if variance is None:
  variance = constant_op.constant([])
  - # Add 1e-12 to epsilon when epsilon <= 1e-5 to prevent CUDNN exception.
  - epsilon = epsilon if epsilon > 1e-5 else epsilon + 1e-12
  + # Set a minimum epsilon to 1.001e-5, which is a requirement by CUDNN to
  + # prevent exception (see cudnn.h).
  + min_epsilon = 1.001e-5
  + epsilon = epsilon if epsilon > min_epsilon else min_epsilon
  # pylint: disable=protected-access
  y, batch_mean, batch_var, _, _ = gen_nn_ops._fused_batch_norm(
  x,
  