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hub / github.com/ImprintLab/MedSegDiff / marginal_lambda

Method marginal_lambda

guided_diffusion/dpm_solver.py:128–134  ·  view source on GitHub ↗

Compute lambda_t = log(alpha_t) - log(sigma_t) of a given continuous-time label t in [0, T].

(self, t)

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Callers 8

get_time_stepsMethod · 0.80
dpm_solver_first_updateMethod · 0.80
singlestep_dpm_solver_second_updateMethod · 0.80
singlestep_dpm_solver_third_updateMethod · 0.80
multistep_dpm_solver_second_updateMethod · 0.80
multistep_dpm_solver_third_updateMethod · 0.80
dpm_solver_adaptiveMethod · 0.80
sampleMethod · 0.80

Calls 2

marginal_log_mean_coeffMethod · 0.95
logMethod · 0.80

Tested by

no test coverage detected