o œý i— ã@sDdZddlZddlZdZe dddg¡Zdd„Zd d „Zd d „ZdS) z2Common values and methods for TensorFlow Debugger.éNzgrpc://ÚRunKeyÚ feed_namesÚ 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©r úX/mnt/sdb/aimis/docanh/lib/python3.10/site-packages/tensorflow/python/debug/lib/common.pyÚget_graph_element_namesr cCsjg}t|ttfƒr|D] }| t|ƒ¡q |St|tƒr,|D] }| t||ƒ¡q|S| 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 )Úfeeds_or_fetchesÚlinesÚitemÚkeyr r r r+s  øþrcCst 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)Ú feed_dictÚfetchesr r r Ú get_run_keyFs ÿr) Ú__doc__Ú collectionsrÚGRPC_URL_PREFIXÚ namedtuplerr rrr r r r Ús