message: fixing documentation for tf.batch_to_space
  each step is not seperated correctly
diff: @@ -3432,16 +3432,17 @@ def batch_to_space_v2(input, block_shape, crops, name=None): # pylint: disable=
  This operation is equivalent to the following steps:
  1. Reshape `input` to `reshaped` of shape: [block_shape[0], ...,
  block_shape[M-1], batch / prod(block_shape), input_shape[1], ...,
  - input_shape[N-1]] 2. Permute dimensions of `reshaped` to produce
  - `permuted` of shape [batch / prod(block_shape), input_shape[1],
  - block_shape[0], ..., input_shape[M], block_shape[M-1], input_shape[M+1],
  - ..., input_shape[N-1]] 3. Reshape `permuted` to produce
  - `reshaped_permuted` of shape [batch / prod(block_shape), input_shape[1]
  - * block_shape[0], ..., input_shape[M] * block_shape[M-1],
  - input_shape[M+1], ..., input_shape[N-1]] 4. Crop the start and end of
  - dimensions `[1, ..., M]` of `reshaped_permuted` according to `crops` to
  - produce the
  - output of shape: [batch / prod(block_shape), input_shape[1] *
  + input_shape[N-1]]
  + 2. Permute dimensions of `reshaped` to produce `permuted` of shape
  + [batch / prod(block_shape), input_shape[1], block_shape[0], ...,
  + input_shape[M], block_shape[M-1], input_shape[M+1],
  + ..., input_shape[N-1]]
  + 3. Reshape `permuted` to produce `reshaped_permuted` of shape
  + [batch / prod(block_shape), input_shape[1] * block_shape[0], ...,
  + input_shape[M] * block_shape[M-1], input_shape[M+1], ..., input_shape[N-1]]
  + 4. Crop the start and end of dimensions `[1, ..., M]` of `reshaped_permuted`
  + according to `crops` to produce the output of shape:
  + [batch / prod(block_shape), input_shape[1] *
  block_shape[0] - crops[0,0] - crops[0,1], ..., input_shape[M] *
  block_shape[M-1] - crops[M-1,0] - crops[M-1,1], input_shape[M+1],
  ..., input_shape[N-1]]
  