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Add transform_last for BrownianTreeNoiseSampler #68

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Add transform_last for BrownianTreeNoiseSampler #68

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5 changes: 3 additions & 2 deletions k_diffusion/sampling.py
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Expand Up @@ -104,14 +104,15 @@ class BrownianTreeNoiseSampler:
internal timestep.
"""

def __init__(self, x, sigma_min, sigma_max, seed=None, transform=lambda x: x):
def __init__(self, x, sigma_min, sigma_max, seed=None, transform=lambda x: x, transform_last=lambda x: x):
self.transform = transform
self.transform_last = transform_last
t0, t1 = self.transform(torch.as_tensor(sigma_min)), self.transform(torch.as_tensor(sigma_max))
self.tree = BatchedBrownianTree(x, t0, t1, seed)

def __call__(self, sigma, sigma_next):
t0, t1 = self.transform(torch.as_tensor(sigma)), self.transform(torch.as_tensor(sigma_next))
return self.tree(t0, t1) / (t1 - t0).abs().sqrt()
return self.transform_last(self.tree(t0, t1) / (t1 - t0).abs().sqrt())


@torch.no_grad()
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