ott.neural.methods.flows.dynamics.BaseFlow

Contents

ott.neural.methods.flows.dynamics.BaseFlow#

class ott.neural.methods.flows.dynamics.BaseFlow(sigma)[source]#

Base class for all flows.

Parameters:

sigma (float) – Noise used for computing time-dependent noise schedule.

Methods

compute_mu_t(t, src, tgt)

Compute the mean of the probability path.

compute_sigma_t(t)

Compute the standard deviation of the probability path at time \(t\).

compute_ut(t, src, tgt)

Evaluate the conditional vector field.

compute_xt(rng, t, src, tgt)

Sample from the probability path.