message: Remove unnecessary reshape and get_shape from fused_batch_norm.
diff: @@ -363,9 +363,6 @@ class BatchNormalization(base.Layer):
  output, mean, variance = utils.smart_cond(
  training, _fused_batch_norm_training, _fused_batch_norm_inference)
  - mean = array_ops.reshape(mean, shape=self.moving_mean.get_shape())
  - variance = array_ops.reshape(variance,
  - shape=self.moving_variance.get_shape())
  if not self._bessels_correction_test_only:
  # Remove Bessel's correction to be consistent with non-fused batch norm.
  # Note that the variance computed by fused batch norm is
  