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Updated square root computation for sparse matrices #51

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Updated square root computation for sparse matrices #51

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4 changes: 2 additions & 2 deletions cleanfid/fid.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,13 @@ def frechet_distance(mu1, sigma1, mu2, sigma2, eps=1e-6):
diff = mu1 - mu2

# Product might be almost singular
covmean, _ = linalg.sqrtm(sigma1.dot(sigma2), disp=False)
covmean = linalg.fractional_matrix_power(sigma1.dot(sigma2), 0.5)
if not np.isfinite(covmean).all():
msg = ('fid calculation produces singular product; '
'adding %s to diagonal of cov estimates') % eps
print(msg)
offset = np.eye(sigma1.shape[0]) * eps
covmean = linalg.sqrtm((sigma1 + offset).dot(sigma2 + offset))
covmean = linalg.fractional_matrix_power((sigma1 + offset).dot(sigma2 + offset), 0.5)

# Numerical error might give slight imaginary component
if np.iscomplexobj(covmean):
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