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Method marginal_std

guided_diffusion/dpm_solver.py:122–126  ·  view source on GitHub ↗

Compute sigma_t of a given continuous-time label t in [0, T].

(self, t)

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Callers 9

noise_pred_fnFunction · 0.80
model_fnFunction · 0.80
data_prediction_fnMethod · 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
add_noiseMethod · 0.80

Calls 1

marginal_log_mean_coeffMethod · 0.95

Tested by

no test coverage detected