message: Improves docstring for tf.contrib.nn.conv1d_transpose
diff: @@ -3988,21 +3988,22 @@ def conv1d_transpose(
  filter: A 3-D `Tensor` with the same type as `value` and shape
  `[filter_width, output_channels, in_channels]`. `filter`'s
  `in_channels` dimension must match that of `value`.
  - output_shape: A 1-D `Tensor` representing the output shape of the
  - deconvolution op.
  + output_shape: A 1-D `Tensor`, containing three elements, representing the
  + output shape of the deconvolution op.
  stride: An `integer`. The number of entries by which
  the filter is moved right at each step.
  padding: A string, either `'VALID'` or `'SAME'`. The padding algorithm.
  See the "returns" section of `tf.nn.convolution` for details.
  - data_format: A string. 'NHWC' and 'NCHW' are supported.
  + data_format: A string. `'NWC'` and `'NCW'` are supported.
  name: Optional name for the returned tensor.
  Returns:
  A `Tensor` with the same type as `value`.
  Raises:
  - ValueError: If input/output depth does not match `filter`'s shape, or if
  - padding is other than `'VALID'` or `'SAME'`.
  + ValueError: If input/output depth does not match `filter`'s shape, if
  + `output_shape` is not at 3-element vector, if `padding` is other than
  + `'VALID'` or `'SAME'`, or if `data_format` is invalid.
  """
  with ops.name_scope(name, "conv1d_transpose",
  [value, filter, output_shape]) as name:
  