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⚡️ Speed up method AlexNet.forward by 314% #422

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⚡️ Speed up method AlexNet.forward by 314% #422

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11 changes: 4 additions & 7 deletions code_to_optimize/code_directories/simple_tracer_e2e/workload.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,16 +27,12 @@ def __init__(self, num_classes=1000):

def forward(self, x):
features = self._extract_features(x)

output = self._classify(features)
return output

def _extract_features(self, x):
result = []
for i in range(len(x)):
pass

return result
# No need to loop, just return an empty list
return []

def _classify(self, features):
# Compute the sum and modulo just once, then construct the result list efficiently
Expand Down Expand Up @@ -65,7 +61,8 @@ def test_models():

@lru_cache(maxsize=1001) # One possible input per [0, 1000]
def _cached_joined(number):
return " ".join(str(i) for i in range(number))
# Use map for slightly faster integer-to-string conversion and joining
return " ".join(map(str, range(number)))


if __name__ == "__main__":
Expand Down
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