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⚡️ Speed up method CosineSimilarityBlockV1.run by 71% #587

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⚡️ Speed up method CosineSimilarityBlockV1.run by 71% #587

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8 changes: 7 additions & 1 deletion inference/core/utils/postprocess.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,13 @@ def cosine_similarity(a: np.ndarray, b: np.ndarray) -> Union[np.number, np.ndarr
Returns:
float: Cosine similarity between vectors A and B.
"""
return np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b))
# Use np.asarray to avoid unnecessary copying if already ndarray
a = np.asarray(a)
b = np.asarray(b)
# Fast norm calculation, avoids repeated full reduction/loop and extra function calls
a_norm = np.sqrt(np.dot(a, a))
b_norm = np.sqrt(np.dot(b, b))
return np.dot(a, b) / (a_norm * b_norm)


def masks2poly(masks: np.ndarray) -> List[np.ndarray]:
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