message: fix some indentation and typo
diff: @@ -70,17 +70,21 @@ def _interpolate_bilinear(grid,
  grid_type = grid.dtype
  with ops.control_dependencies([
  - check_ops.assert_equal(len(query_points.get_shape()), 3, message=
  - 'Query points must be 3 dimensional'),
  - check_ops.assert_equal(array_ops.shape(query_points)[2], 2, message=
  - 'Query points must be size 2 in dim 2.')]):
  + check_ops.assert_equal(
  + len(query_points.get_shape()),
  + 3,
  + message='Query points must be 3 dimensional.'),
  + check_ops.assert_equal(
  + array_ops.shape(query_points)[2],
  + 2,
  + message='Query points must be size 2 in dim 2.')]):
  num_queries = array_ops.shape(query_points)[1]
  with ops.control_dependencies([
  check_ops.assert_greater_equal(height, 2, message=
  - 'Grid height must be at least 2'),
  + 'Grid height must be at least 2.'),
  check_ops.assert_greater_equal(width, 2, message=
  - 'Grid width must be at least 2')]):
  + 'Grid width must be at least 2.')]):
  alphas = []
  floors = []
  ceils = []
  @@ -187,11 +191,10 @@ def dense_image_warp(image, flow, name='dense_image_warp'):
  of dimensions.
  """
  with ops.name_scope(name):
  - batch_size, height, width, channels = \
  - array_ops.shape(image)[0], \
  - array_ops.shape(image)[1], \
  - array_ops.shape(image)[2], \
  - array_ops.shape(image)[3]
  + batch_size, height, width, channels = (array_ops.shape(image)[0],
  + array_ops.shape(image)[1],
  + array_ops.shape(image)[2],
  + array_ops.shape(image)[3])
  # The flow is defined on the image grid. Turn the flow into a list of query
  # points in the grid space.
  