Fix bugs in docstring of conv3d_transpose.

Seems like depth was missing and NCHW and NHWC were mentioned
instead of NCDHW and NDHWC.

PiperOrigin-RevId: 313320657
Change-Id: Id599e6e7b91a18f193b952153c50c27839c5693f
This commit is contained in:
Andrew Selle 2020-05-26 20:51:52 -07:00 committed by TensorFlower Gardener
parent 0dda89c61e
commit 0a1449a983

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@ -3061,12 +3061,12 @@ def conv3d_transpose_v2(input, # pylint: disable=redefined-builtin
rather than an actual deconvolution.
Args:
input: A 5-D `Tensor` of type `float` and shape `[batch, height, width,
in_channels]` for `NHWC` data format or `[batch, in_channels, height,
width]` for `NCHW` data format.
filters: A 5-D `Tensor` with the same type as `value` and shape `[height,
width, output_channels, in_channels]`. `filter`'s `in_channels` dimension
must match that of `value`.
input: A 5-D `Tensor` of type `float` and shape `[batch, depth, height,
width, in_channels]` for `NDHWC` data format or `[batch, in_channels,
depth, height, width]` for `NCDHW` data format.
filters: A 5-D `Tensor` with the same type as `value` and shape `[depth,
height, 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.
strides: An int or list of `ints` that has length `1`, `3` or `5`. The