def test_view_setattr_machinery(attr, subset_func, subset_func2):
    # Tests that setting attributes on a view doesn't mess anything up too bad
    adata = gen_adata((10, 10))
    view = adata[subset_func(adata.obs_names), subset_func2(adata.var_names)]

    actual = view.copy()
    setattr(view, attr, getattr(actual, attr))
    assert_equal(actual, view, exact=True)
def batch_norm(inputs, training, data_format, name=''):
  """Performs a batch normalization using a standard set of parameters."""
  # We set fused=True for a significant performance boost. See
  # https://www.tensorflow.org/performance/performance_guide#common_fused_ops
  return tf.compat.v1.layers.batch_normalization(
      inputs=inputs,
      axis=1 if data_format == 'channels_first' else 3,
      momentum=_BATCH_NORM_DECAY,
      epsilon=_BATCH_NORM_EPSILON,
      center=True,
      scale=True,
      training=training,
      fused=True,
      name=name)