Args:
          use_variable: If True, creates a variable for weight.
        """
        super().__init__()
        w_val = np.random.randn(128, 32).astype('f4')
        if use_variable:
          self.w = variables.Variable(w_val)
        else:
          self.w = w_val

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(

    // number without knowing this, so we need to manually dispatch to each
    // possible member of TensorProto, depening on its dtype.
#define MATCH(DTYPE, FIELD) \
  case DTYPE:               \
    return tensor.FIELD##_val().size()

  switch (tensor.dtype()) {
    MATCH(DT_FLOAT, float);
    MATCH(DT_DOUBLE, double);
    MATCH(DT_INT8, int);
    MATCH(DT_UINT8, int);
    MATCH(DT_INT16, int);
    MATCH(DT_UINT16, int);