message: Change the docs of the convolution function
  The ranks of input and filter should be N+2 instead of N.
  Because the function computes N-D convolution, the input's rank should be N+2 with additional batch and input_channel dimensions, and the filter's rank should be N+2 with additional input_channel and output_channel dimensions.
diff: @@ -711,12 +711,12 @@ def convolution(
  It is required that 1 <= N <= 3.
  Args:
  - input: An N-D `Tensor` of type `T`, of shape
  + input: An (N+2)-D `Tensor` of type `T`, of shape
  `[batch_size] + input_spatial_shape + [in_channels]` if data_format does
  not start with "NC" (default), or
  `[batch_size, in_channels] + input_spatial_shape` if data_format starts
  with "NC".
  - filter: An N-D `Tensor` with the same type as `input` and shape
  + filter: An (N+2)-D `Tensor` with the same type as `input` and shape
  `spatial_filter_shape + [in_channels, out_channels]`.
  padding: A string, either `"VALID"` or `"SAME"`. The padding algorithm.
  strides: Optional. Sequence of N ints >= 1. Specifies the output stride.
  