Add lru_cache for node comparison #148
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This pull request was exported from Phabricator. Differential Revision: D48708658 |
Summary: Pull Request resolved: pytorch/executorch#148 cache the args to optimize the number of calls. For `is_same_node` function, we're expecting the same results each time it's called with the same inputs. For mv2, ``` buck run mode/dev-nosan //executorch/examples/backend:xnnpack_examples -- -m mv2 -q -d ``` The total number of nodes in mv2 graph after quantize is 520. Before the change: mv2: The number of call to `is_same_node` is 6388036 🙈 mv2: to_backend call time: 30.79 second (including dumping the logs) mv3: takes forever After the change: mv2: The number of call to `is_same_node` is 520. It's more reasonable mv2: to_backend call time: 10.15 second (including dumping the logs) mv3: `to_backend` call takes 16 second. Reviewed By: digantdesai, mcr229 Differential Revision: D48708658 fbshipit-source-id: ce2b7f5835ed17fa6df75a3bfcee495b2ab0a4a2
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This pull request was exported from Phabricator. Differential Revision: D48708658 |
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Summary:
cache the args to optimize the number of calls. For
is_same_nodefunction, we're expecting the same results each time it's called with the same inputs.For mv2,
The total number of nodes in mv2 graph after quantize is 520.
Before the change:
mv2: The number of call to
is_same_nodeis 6388036 🙈mv2: to_backend call time: 30.79 second (including dumping the logs)
mv3: takes forever
After the change:
mv2: The number of call to
is_same_nodeis 520. It's more reasonablemv2: to_backend call time: 10.15 second (including dumping the logs)
mv3:
to_backendcall takes 16 second.Reviewed By: digantdesai, mcr229
Differential Revision: D48708658