tf.nn.conv1d_transpose | TensorFlow v2.16.1 (original) (raw)
tf.nn.conv1d_transpose
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The transpose of conv1d.
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Compat aliases for migration
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tf.compat.v1.nn.conv1d_transpose
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 conv1drather 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'sin_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. Seeherefor 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, ifoutput_shape is not at 3-element vector, if padding is other than'VALID' or 'SAME', or if data_format is invalid. |
| References |
|---|
| Deconvolutional Networks:Zeiler et al., 2010(pdf) |
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Last updated 2024-04-26 UTC.