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Method marginal_prob

examples/score_sde_jax/sde_lib.py:32–34  ·  view source on GitHub ↗

Parameters to determine the marginal distribution of the SDE, $p_t(x)$.

(self, x, t)

Source from the content-addressed store, hash-verified

30
31 @abc.abstractmethod
32 def marginal_prob(self, x, t):
33 """Parameters to determine the marginal distribution of the SDE, $p_t(x)$."""
34 pass
35
36 @abc.abstractmethod
37 def prior_sampling(self, rng, shape):

Callers 6

inpaint_update_fnFunction · 0.45
colorization_update_fnFunction · 0.45
total_grad_fnFunction · 0.45
loss_fnFunction · 0.45
update_fnMethod · 0.45
score_fnFunction · 0.45

Calls

no outgoing calls

Tested by

no test coverage detected