(self, use_timesteps, **kwargs)
| 1251 | """ |
| 1252 | |
| 1253 | def __init__(self, use_timesteps, **kwargs): |
| 1254 | self.use_timesteps = set(use_timesteps) |
| 1255 | self.timestep_map = [] |
| 1256 | self.original_num_steps = len(kwargs["betas"]) |
| 1257 | |
| 1258 | base_diffusion = GaussianDiffusion(**kwargs) # pylint: disable=missing-kwoa |
| 1259 | last_alpha_cumprod = 1.0 |
| 1260 | new_betas = [] |
| 1261 | for i, alpha_cumprod in enumerate(base_diffusion.alphas_cumprod): |
| 1262 | if i in self.use_timesteps: |
| 1263 | new_betas.append(1 - alpha_cumprod / last_alpha_cumprod) |
| 1264 | last_alpha_cumprod = alpha_cumprod |
| 1265 | self.timestep_map.append(i) |
| 1266 | kwargs["betas"] = np.array(new_betas) |
| 1267 | super().__init__(**kwargs) |
| 1268 | |
| 1269 | def p_mean_variance(self, model, *args, **kwargs): |
| 1270 | return super().p_mean_variance(self._wrap_model(model), *args, **kwargs) |
nothing calls this directly
no test coverage detected