Wrapper function: transfrom velocity prediction model to denoiser Args: velocity: [batch_dim, ...] shaped tensor; velocity model output x: [batch_dim, ...] shaped tensor; x_t data point t: [batch_dim,] time tensor
(self, velocity, x, t)
| 133 | return score |
| 134 | |
| 135 | def get_noise_from_velocity(self, velocity, x, t): |
| 136 | """Wrapper function: transfrom velocity prediction model to denoiser |
| 137 | Args: |
| 138 | velocity: [batch_dim, ...] shaped tensor; velocity model output |
| 139 | x: [batch_dim, ...] shaped tensor; x_t data point |
| 140 | t: [batch_dim,] time tensor |
| 141 | """ |
| 142 | t = pad_v_like_x(t, x) |
| 143 | alpha_t, d_alpha_t = self.compute_alpha_t(t) |
| 144 | sigma_t, d_sigma_t = self.compute_sigma_t(t) |
| 145 | mean = x |
| 146 | reverse_alpha_ratio = alpha_t / d_alpha_t |
| 147 | var = reverse_alpha_ratio * d_sigma_t - sigma_t |
| 148 | noise = (reverse_alpha_ratio * velocity - mean) / var |
| 149 | return noise |
| 150 | |
| 151 | def get_velocity_from_score(self, score, x, t): |
| 152 | """Wrapper function: transfrom score prediction model to velocity |
nothing calls this directly
no test coverage detected