UXc@`sYdZddlmZddlmZddlmZddlmZdddZd S( sAGraph post-processing logic. Used by both TensorBoard and mldash.i(tabsolute_import(tdivision(tprint_function(tcompatit_too_large_attrscC`s|dk rI|dkr'tdn|dkrItd|qIn|dk rx|jD]}t|jj}xi|D]a}|j|j}||ks|dkr|j|=|j|jjjt j |qqWq_WndS(sPrepares (modifies in-place) the graph to be served to the front-end. For now, it supports filtering out attributes that are too large to be shown in the graph UI. Args: graph: The GraphDef proto message. limit_attr_size: Maximum allowed size in bytes, before the attribute is considered large. Default is 1024 (1KB). Must be > 0 or None. If None, there will be no filtering. large_attrs_key: The attribute key that will be used for storing attributes that are too large. Default is '_too_large_attrs'. Must be != None if `limit_attr_size` is != None. Raises: ValueError: If `large_attrs_key is None` while `limit_attr_size != None`. ValueError: If `limit_attr_size` is defined, but <= 0. s<large_attrs_key must be != None when limit_attr_size!= None.is&limit_attr_size must be > 0, but is %dN( tNonet ValueErrortnodetlisttattrtkeystByteSizetstappendRtas_bytes(tgraphtlimit_attr_sizetlarge_attrs_keyRR tkeytsize((sn/tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/tensorboard/backend/process_graph.pytprepare_graph_for_uis      N(t__doc__t __future__RRRttensorflow.python.utilRR(((sn/tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/tensorboard/backend/process_graph.pyts