§ קg—ãó(—ddlZddlZd„Zd„Zd„ZdS)éNcóJ—tjj |¦«S)zæReturn tensor ids and eager tensors for DeviceData nodes in the IR for the passed in lazy tensors. TODO: This API is currently ts backend specific. We are working on generalizing it to all backends including XLA. )ÚtorchÚ_CÚ_lazy_ts_backendÚ _get_tensors_ts_device_data_node©Útensorss úS/var/www/html/ai-engine/env/lib/python3.11/site-packages/torch/_lazy/computation.pyÚget_tensors_ts_device_data_noder s€õ Œ8Ô $× EÒ EÀgÑ NÔ NÐNócóJ—tjj |¦«S)z4Return the graph hash for the passed in lazy tensors)rrÚ_lazyÚ_get_graph_hashrs r Úget_graph_hashrs€å Œ8Œ>× )Ò )¨'Ñ 2Ô 2Ð2r cóL—tjj ||¦«S)zºRunning the cached computation graph with the given inputs TODO: This API is currently ts backend specific. We are working on generalizing it to all backends including XLA. )rrrÚ_run_cached_graph)Úhash_strÚ graph_inputss r Úrun_cached_graphrs€õ Œ8Ô $× 6Ò 6°xÀÑ NÔ NÐNr )Útorch._C._lazyrÚtorch._C._lazy_ts_backendr rr©r r úrs\ðàÐÐÐØ Ð Ð Ð ðOðOðOð3ð3ð3ð OðOðOðOðOr