XNNPACK graph runtime: backend integration behind use_graph_runtime#20256
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20256
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Wires the graph runtime into XnnpackBackend behind the use_graph_runtime backend option (default off, with per-method runtime-spec override). When enabled, init() deserializes via FlatbufferGraphBuilder and builds an Executor; execute()/destroy() gain the graph path alongside the legacy XNNCompiler path. With prefer_in_tree_kernel disabled, existing all-XNNPACK models run end-to-end on the new executor. Authored with Claude. ghstack-source-id: d9178c7 ghstack-comment-id: 4695613250 Pull-Request: #20256
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Wires the graph runtime into XnnpackBackend behind the use_graph_runtime
backend option (default off, with per-method runtime-spec override). When
enabled, init() deserializes via FlatbufferGraphBuilder and builds an Executor;
execute()/destroy() gain the graph path alongside the legacy XNNCompiler path.
With prefer_in_tree_kernel disabled, existing all-XNNPACK models run end-to-end
on the new executor.
Authored with Claude.