code: def _output(cls, fluents: Sequence[FluentPair]) -> Sequence[tf.Tensor]:
          '''Converts `fluents` to tensors with datatype tf.float32.'''
          output = []
          for _, fluent in fluents:
              tensor = fluent.tensor
              if tensor.dtype != tf.float32:
                  tensor = tf.cast(tensor, tf.float32)
              output.append(tensor)
          return tuple(outputf _output(cls, fluents: Sequence[FluentPair]) -> Sequence[tf.Tensor]:
          '''Converts `fluents` to tensors with datatype tf.float32.'''
          output = []
          for _, fluent in fluents:
              tensor = fluent.tensor
              if tensor.dtype != tf.float32:
                  tensor = tf.cast(tensor, tf.float32)
              output.append(tensor)
          return tuple(output)
docs: Converts `fluents` to tensors with datatype tf.float32.