tf.contrib.nn.conv1d_transpose

tf.contrib.nn.conv1d_transpose(
    value,
    filter,
    output_shape,
    stride,
    padding='SAME',
    data_format='NWC',
    name=None
)

Defined in tensorflow/python/ops/nn_ops.py.

The transpose of conv1d.

This operation is sometimes called "deconvolution" after Deconvolutional Networks, but is actually the transpose (gradient) of conv1d rather than an actual deconvolution.

Args:

• value: 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.
• 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.
• 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 comment here
• data_format: A string. 'NHWC' and 'NCHW' 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'.