(self, n, max_length=None, z=None, c_input=None)
Sample from decoder with an optional conditional latent vector `z`.

    Args:
      n: Scalar number of samples to return.
      max_length: (Optional) Scalar maximum sample length to return. Required if
        data representation does not include end tokens.
      z: (Optional) Latent vectors to sample from. Required if model is
        conditional. Sized `[n, z_size]`.
      c_input: (Optional) Control sequence, sized `[max_length, control_depth]`.

    Returns:
      samples: Sampled sequences. Sized `[n, max_length, output_depth]`.
Sample from decoder with an optional conditional latent vector `z`.
Sample from decoder with an optional conditional latent vector z .
def sample(self, n, max_length=None, z=None, c_input=None):
    """Sample from decoder with an optional conditional latent vector `z`.

    Args:
      n: Scalar number of samples to return.
      max_length: (Optional) Scalar maximum sample length to return. Required if
        data representation does not include end tokens.
      z: (Optional) Latent vectors to sample from. Required if model is
        conditional. Sized `[n, z_size]`.
      c_input: (Optional) Control sequence, sized `[max_length, control_depth]`.

    Returns:
      samples: Sampled sequences. Sized `[n, max_length, output_depth]`.
    """
    pass
def sample ( self , n , max_length = None , z = None , c_input = None ) : pass