Add null runtime check for XNNExecutor::prepare_args #9265
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/9265
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Can you write a test to exercise this code path? |
GregoryComer
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Mar 18, 2025
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I'm going to merge this as is, since it's a small change, and existing CI should be sufficient. |
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### Summary Fixes pytorch#9131 In the event that an XNNPACK-delegated model is freed right when inference happens, `XNNExecutor::prepare_args` can crash accessing the runtime. Hence we need to check for null runtime for it, similar to what we are already doing for `XNNExecutor::forward`. ### Test plan Pass all CI/CD.
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Summary
Fixes #9131
In the event that an XNNPACK-delegated model is freed right when inference happens,
XNNExecutor::prepare_argscan crash accessing the runtime. Hence we need to check for null runtime for it, similar to what we are already doing forXNNExecutor::forward.Test plan
Pass all CI/CD.