[executorch] Update XNNPACK backend to use input_spec metadata + support HOPs#18147
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[executorch] Update XNNPACK backend to use input_spec metadata + support HOPs#18147GregoryComer wants to merge 1 commit intogh/GregoryComer/178/basefrom
GregoryComer wants to merge 1 commit intogh/GregoryComer/178/basefrom
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…ort HOPs Update XNNPACK backend utilities to use `input_spec` node metadata for identifying parameters and retrieving tensor data, with fallback to graph signature for backward compatibility. - `is_param_node`, `get_param_tensor`, `get_tensor_name` now use input_spec metadata, enabling correct operation inside HOP submodules - `XnnpackPartitioner` adapted to renamed `ConfigurationBasedPartitioner` and recursive `get_matched_nodes_from_configs(ep, gm)` API - New `test_hop.py` integration tests for cond, map, and scan delegation - Example notebooks for cond and scan with XNNPACK Differential Revision: [D95876982](https://our.internmc.facebook.com/intern/diff/D95876982/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18147
Note: Links to docs will display an error until the docs builds have been completed. ❌ 22 New FailuresAs of commit 6391151 with merge base 48bd687 ( NEW FAILURES - The following jobs have failed:
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Stack from ghstack (oldest at bottom):
Update XNNPACK backend utilities to use
input_specnode metadata foridentifying parameters and retrieving tensor data, with fallback to
graph signature for backward compatibility.
is_param_node,get_param_tensor,get_tensor_namenow useinput_spec metadata, enabling correct operation inside HOP submodules
XnnpackPartitioneradapted to renamedConfigurationBasedPartitionerand recursive
get_matched_nodes_from_configs(ep, gm)APItest_hop.pyintegration tests for cond, map, and scan delegationDifferential Revision: D95876982