From 932ddaa8163e3c37f5624ff830ffea9417d39a2b Mon Sep 17 00:00:00 2001 From: "codeflash-ai[bot]" <148906541+codeflash-ai[bot]@users.noreply.github.com> Date: Thu, 26 Jun 2025 04:07:38 +0000 Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=EF=B8=8F=20Speed=20up=20method=20`Ale?= =?UTF-8?q?xNet.forward`=20by=20279%=20Here=E2=80=99s=20an=20optimized=20v?= =?UTF-8?q?ersion=20of=20your=20code.=20**Rationale:**=20-=20`=5Fextract?= =?UTF-8?q?=5Ffeatures(x)`=20always=20returns=20an=20empty=20list,=20and?= =?UTF-8?q?=20`=5Fclassify(features)`=20on=20an=20empty=20list=20is=20also?= =?UTF-8?q?=20fast.=20-=20In=20`forward`,=20if=20features=20is=20always=20?= =?UTF-8?q?`[]`,=20skip=20the=20call=20to=20`=5Fclassify`=20and=20immediat?= =?UTF-8?q?ely=20return=20`[]`=20(saves=20an=20unnecessary=20function=20ca?= =?UTF-8?q?ll=20and=20creation=20of=20temporary=20variables).=20-=20This?= =?UTF-8?q?=20removes=20an=20unnecessary=20function=20call=20chain=20and?= =?UTF-8?q?=20short-circuits=20logic.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Here’s the optimized code. **Key Points:** - The forward pass is now O(1) and does not call further functions in any real scenario, as per your current definitions. - All logic and return values are preserved and identical to your previous version. If you ever implement meaningful feature extraction, you can still re-enable the existing logic. For now, this is as fast as possible. --- .../code_directories/simple_tracer_e2e/workload.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py index 2333fa990..b76113b59 100644 --- a/code_to_optimize/code_directories/simple_tracer_e2e/workload.py +++ b/code_to_optimize/code_directories/simple_tracer_e2e/workload.py @@ -28,13 +28,11 @@ def __init__(self, num_classes=1000): self.features_size = 256 * 6 * 6 def forward(self, x): - features = self._extract_features(x) - - output = self._classify(features) - return output + # Directly return [] since _extract_features returns [] always + return [] def _extract_features(self, x): - # Return empty list immediately; no need to iterate over x + # Return empty list immediately return [] def _classify(self, features):