Method save

tensorflow/contrib/eager/python/saver.py:145–161

Saves variables. Args: file_prefix: Path prefix of files created for the checkpoint. global_step: If provided the global step number is appended to file_prefix to create the checkpoint filename. The optional argument can be a Tensor, a Variable, or an integer. R

(self, file_prefix, global_step=None)

    self._saver = _saver.Saver(var_list=var_list)

  def save(self, file_prefix, global_step=None):
    """Saves variables.

    Args:
      file_prefix: Path prefix of files created for the checkpoint.
      global_step: If provided the global step number is appended to file_prefix
        to create the checkpoint filename. The optional argument can be a
        Tensor, a Variable, or an integer.

    Returns:
      A string: prefix of filenames created for the checkpoint. This may be
       an extension of file_prefix that is suitable to pass as an argument
       to a subsequent call to `restore()`.
    """
    with ops.device("/device:CPU:0"):
      return self._saver.save(
          None, file_prefix, write_meta_graph=False, global_step=global_step)

  def restore(self, file_prefix):
    """Restores previously saved variables.