tf.nn.conv1d_transpose
The transpose of conv1d
.
tf.nn.conv1d_transpose(
input,
filters,
output_shape,
strides,
padding='SAME',
data_format='NWC',
dilations=None,
name=None
)
This operation is sometimes called "deconvolution" after
(Zeiler et al., 2010), but is actually the transpose (gradient) of conv1d
rather than an actual deconvolution.
Args |
input
|
A 3-D Tensor of type float and shape
[batch, in_width, in_channels] for NWC data format or
[batch, in_channels, in_width] for NCW data format.
|
filters
|
A 3-D Tensor with the same type as input and shape
[filter_width, output_channels, in_channels] . filter 's
in_channels dimension must match that of input .
|
output_shape
|
A 1-D Tensor , containing three elements, representing the
output shape of the deconvolution op.
|
strides
|
An int or list of ints that has length 1 or 3 . 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
here
for more information.
|
data_format
|
A string. 'NWC' and 'NCW' are supported.
|
dilations
|
An int or list of ints that has length 1 or 3 which
defaults to 1. The dilation factor for each dimension of input. If set to
k > 1, there will be k-1 skipped cells between each filter element on that
dimension. Dilations in the batch and depth dimensions must be 1.
|
name
|
Optional name for the returned tensor.
|
Returns |
A Tensor with the same type as input .
|
Raises |
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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2023-03-17 UTC.
[null,null,["Last updated 2023-03-17 UTC."],[],[]]