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When we perform fusion without the composite op, `TensorExprDynamicGroup`, it ends up not reusing the output tensor buffers. So, until we figure out a way to do that with `TensorExprGroup` op, it seems strictly better to use composite op, even though it involves going to the JIT. Differential Revision: [D34831280](https://our.internmc.facebook.com/intern/diff/D34831280/) [ghstack-poisoned]
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navahgar
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When we perform fusion without the composite op, `TensorExprDynamicGroup`, it ends up not reusing the output tensor buffers. So, until we figure out a way to do that with `TensorExprGroup` op, it seems strictly better to use composite op, even though it involves going to the JIT. Differential Revision: [D34831280](https://our.internmc.facebook.com/intern/diff/D34831280/) ghstack-source-id: 151191941 Pull Request resolved: #74126
facebook-github-bot
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Summary: Pull Request resolved: #74126 When we perform fusion without the composite op, `TensorExprDynamicGroup`, it ends up not reusing the output tensor buffers. So, until we figure out a way to do that with `TensorExprGroup` op, it seems strictly better to use composite op, even though it involves going to the JIT. ghstack-source-id: 151191941 Test Plan: Tested locally with `ptvsc2_predictor_bench` on the Video model. Performance analysis with `caffe2/caffe2/fb/predictor/bench:limb` on the Video model locally showed an improvement of ~1% with this change. Reviewed By: mikeiovine Differential Revision: D34831280 fbshipit-source-id: e523878364b519ccd51b78d52d9f6c9d3e8def17
laurentdupin
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Apr 25, 2026
Summary: Pull Request resolved: pytorch#74126 When we perform fusion without the composite op, `TensorExprDynamicGroup`, it ends up not reusing the output tensor buffers. So, until we figure out a way to do that with `TensorExprGroup` op, it seems strictly better to use composite op, even though it involves going to the JIT. ghstack-source-id: 151191941 Test Plan: Tested locally with `ptvsc2_predictor_bench` on the Video model. Performance analysis with `caffe2/caffe2/fb/predictor/bench:limb` on the Video model locally showed an improvement of ~1% with this change. Reviewed By: mikeiovine Differential Revision: D34831280 fbshipit-source-id: e523878364b519ccd51b78d52d9f6c9d3e8def17 (cherry picked from commit 268d3b3)
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Stack from ghstack (oldest at bottom):
When we perform fusion without the composite op,
TensorExprDynamicGroup, it ends up not reusing the output tensor buffers. So, until we figure out a way to do that withTensorExprGroupop, it seems strictly better to use composite op, even though it involves going to the JIT.Differential Revision: D34831280