class_docstr: Get an embedding from the instrument one-hot.
code: def expand_z(self, z, time_steps):
      if self.skip_expand:
          # Don't expand z here, rely on broadcasting instead
          return z
      else:
          return super().expand_z(z, time_steps)
  
imports: import ddsp
  from ddsp import spectral_ops
  from ddsp.training import nn
  import gin
  import tensorflow.compat.v2
label_desc: Use image node_id 4 for calling the OneHotEncoder obj's underlying member method code with example usage: obj.expand_z(z, time_steps) and returns: z, super