class_docstr: WaveNet style 1-D dilated convolution with optional conditioning.
class_docstr_tok: ["WaveNet","style","1-D","dilated","convolution","with","optional","conditioning","."]
code: def compute_output(self, *inputs):
      stack_inputs = self._parse_inputs(inputs)
      return self.dilated_conv_stack(stack_inputs)
  
imports: from ddsp import core
  from ddsp.training import nn
  import gin
  import tensorflow
label_desc: Use image node_id 3 for calling the DilatedConvDecoder obj's underlying member method code with example usage: obj.compute_output() and returns: self