update 1.4.0
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@@ -239,7 +239,7 @@ class GaussianDiffusion(object):
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percentile=None,
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cat_uc=False,
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**kwargs):
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"""
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r"""
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Apply one step of denoising from the posterior distribution q(x_s | x_t, x0).
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Since x0 is not available, estimate the denoising results using the learned
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distribution p(x_s | x_t, \hat{x}_0 == f(x_t)). # noqa
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