o ûÇ h—ã@s,ddlZddlZdd„Zdd„Zdd„ZdS)éNcCótjj |¡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©Útensors©r úk/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/torch/_lazy/computation.pyÚget_tensors_ts_device_data_nodesr cCr)z4Return the graph hash for the passed in lazy tensors)rrÚ_lazyÚ_get_graph_hashrr r r Úget_graph_hashsrcCstjj ||¡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_inputsr r r Úrun_cached_graphsr)Útorch._C._lazyrÚtorch._C._lazy_ts_backendr rrr r r r Ús