code: def _save(
      filename, tensor_names, tensors, tensor_slices=None, name="save"
  ):
      """Save a list of tensors to a file with given names.
  
      Example usage without slice info:
        Save("/foo/bar", ["w", "b"], [w, b])
  
      Example usage with slices:
        Save("/foo/bar", ["w", "w"], [slice0, slice1],
             tensor_slices=["4 10 0,2:-", "4 10 2,2:-"])
  
      Args:
        filename: the file name of the sstable.
        tensor_names: a list of strings.
        tensors: the list of tensors to be saved.
        tensor_slices: Optional list of strings to specify the shape and slices of
          a larger virtual tensor that each tensor is a part of.  If not specified
          each tensor is saved as a full slice.
        name: string.  Optional name for the op.
  
      Requires:
        The length of tensors should match the size of tensor_names and of
        tensor_slices.
  
      Returns:
        An Operation that saves the tensors.
      """
      if tensor_slices is None:
          return gen_io_ops.save(
              filename, tensor_names, tensors, name=name
          )
      else:
          return gen_io_ops.save_slices(
              filename, tensor_names, tensor_slices, tensors, name=name
          )
  
imports: from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.ops import gen_data_flow_ops
  from tensorflow.python.ops import gen_io_ops
  from tensorflow.python.ops import gen_parsing_ops
  from tensorflow.python.ops.gen_io_ops import *
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: _save(filename, tensor_names, tensors, tensor_slices, name) and returns: gen_io_ops, gen_io_ops