parameters: (self, features)
return_statement: return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.INFER)
docstring: Method that builds model graph and returns prediction ops.
  
      Expected to be overridden by sub-classes that require custom support.
      This implementation uses `model_fn` passed as parameter to constructor to
      build model.
  
      Args:
        features: `Tensor` or `dict` of `Tensor` objects.
  
      Returns:
        `ModelFnOps` object.
docstring_summary: Method that builds model graph and returns prediction ops.
docstring_tokens: Method that builds model graph and returns prediction ops .
function: def _get_predict_ops(self, features):
      """Method that builds model graph and returns prediction ops.
  
      Expected to be overridden by sub-classes that require custom support.
      This implementation uses `model_fn` passed as parameter to constructor to
      build model.
  
      Args:
        features: `Tensor` or `dict` of `Tensor` objects.
  
      Returns:
        `ModelFnOps` object.
      """
      labels = tensor_signature.create_placeholders_from_signatures(
          self._labels_info)
      return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.INFER)
function_tokens: def _get_predict_ops ( self , features ) : labels = tensor_signature . create_placeholders_from_signatures ( self . _labels_info ) return self . _call_model_fn ( features , labels , model_fn_lib . ModeKeys . INFER )