message: Clarify documentation of output shape from DepthwiseConv2D
  The number of output channels is the number of input channels
  multiplied by the `depth_multiplier`.
diff: @@ -2328,10 +2328,11 @@ class DepthwiseConv2D(Conv2D):
  Output shape:
  4D tensor with shape:
  - `[batch_size, filters, new_rows, new_cols]` if data_format='channels_first'
  - or 4D tensor with shape:
  - `[batch_size, new_rows, new_cols, filters]` if data_format='channels_last'.
  - `rows` and `cols` values might have changed due to padding.
  + `[batch_size, channels * depth_multiplier, new_rows, new_cols]` if
  + data_format='channels_first' or 4D tensor with shape:
  + `[batch_size, new_rows, new_cols, channels * depth_multiplier]` if
  + data_format='channels_last'. `rows` and `cols` values might have
  + changed due to padding.
  Returns:
  A tensor of rank 4 representing
  