Update custom_samplers.py
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-1
@@ -69,7 +69,7 @@ def distance_wrap(resample,resample_end=-1,cfgpp=False):
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if re_step == 0:
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d = (new_d + d) / 2
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else:
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d = fast_distance_weights(torch.stack(x_n), re_step + 2)
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d = fast_distance_weights(torch.stack(x_n), re_step + 1)
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x_n.append(d)
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x = x + d * dt
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return x
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