B Ò»ˆd— ã@sDdZddlZddlZdZe dddg¡Zdd„Zd d „Zd d „ZdS) z2Common values and methods for TensorFlow Debugger.éNzgrpc://ÚRunKeyZ feed_namesZ fetch_namescCst|dƒr|jSt|ƒS)a±Obtain the name or string representation of a graph element. If the graph element has the attribute "name", return name. Otherwise, return a __str__ representation of the graph element. Certain graph elements, such as `SparseTensor`s, do not have the attribute "name". Args: elem: The graph element in question. Returns: If the attribute 'name' is available, return the name. Otherwise, return str(fetch). Úname)ÚhasattrrÚstr)Úelem©rúT/var/www/html/venv/lib/python3.7/site-packages/tensorflow/python/debug/lib/common.pyÚget_graph_element_namesr cCsng}t|ttfƒr0xV|D]}| t|ƒ¡qWn:t|tƒr\x.|D]}| t||ƒ¡q@Wn| t|ƒ¡|S)a~Get a flattened list of the names in run() call feeds or fetches. Args: feeds_or_fetches: Feeds or fetches of the `Session.run()` call. It maybe a Tensor, an Operation or a Variable. It may also be nested lists, tuples or dicts. See doc of `Session.run()` for more details. Returns: (list of str) A flattened list of fetch names from `feeds_or_fetches`. )Ú isinstanceÚlistÚtupleÚextendÚget_flattened_namesÚdictÚappendr )Zfeeds_or_fetchesÚlinesÚitemÚkeyrrrr+s    rcCst tt|ƒt|ƒƒ¡S)a†Summarize the names of feeds and fetches as a RunKey JSON string. Args: feed_dict: The feed_dict given to the `Session.run()` call. fetches: The fetches from the `Session.run()` call. Returns: A JSON Array consisting of two items. They first items is a flattened Array of the names of the feeds. The second item is a flattened Array of the names of the fetches. )ÚjsonÚdumpsrr)Z feed_dictZfetchesrrrÚ get_run_keyFs r) Ú__doc__Ú collectionsrZGRPC_URL_PREFIXÚ namedtuplerr rrrrrrÚs