Method evaluate

tensorflow/python/debug/cli/evaluator.py:118–152

Parse an expression. Args: expression: the expression to be parsed. Returns: The result of the evaluation. Raises: ValueError: If the value of one or more of the debug tensors in the expression are not available.

(self, expression)

    self._cached_tensor_values = {}

  def evaluate(self, expression):
    """Parse an expression.

    Args:
      expression: the expression to be parsed.

    Returns:
      The result of the evaluation.

    Raises:
      ValueError: If the value of one or more of the debug tensors in the
        expression are not available.
    """
    dump_tensors_iter = re.finditer(_DUMP_TENSOR_PATTERN, expression)
    rewritten_expression = expression
    for match in reversed(list(dump_tensors_iter)):
      tensor_name = match.group(0)[1:-1].strip()
      device_name, node_name, output_slot, debug_op, exec_index = (
          _parse_debug_tensor_name(tensor_name))
      if tensor_name not in self._cached_tensor_values:
        try:
          value = self._dump.get_tensors(
              node_name, output_slot, debug_op,
              device_name=device_name)[exec_index]
        except debug_data.WatchKeyDoesNotExistInDebugDumpDirError:
          raise ValueError(
              "Eval failed due to the value of %s:%d:DebugIdentity being "
              "unavailable" % (node_name, output_slot))
        self._cached_tensor_values[tensor_name] = value
      rewritten_expression = (
          rewritten_expression[:match.start(0)] +
          "self._cached_tensor_values['" + tensor_name + "']" +
          rewritten_expression[match.end(0):])

    return eval(rewritten_expression)  # pylint: disable=eval-used