(self, n_sample=1, nr_mix=1)
| 8 | |
| 9 | class Truncated_Gaussian_Model(nn.Module): |
| 10 | def __init__(self, n_sample=1, nr_mix=1): |
| 11 | super(Truncated_Gaussian_Model, self).__init__() |
| 12 | self.n_sample = n_sample |
| 13 | self.nr_mix = nr_mix |
| 14 | self.log_scales_min = -5.0 |
| 15 | self.log_scales_max = 2.0 |
| 16 | self.log_scales_a = (self.log_scales_min + self.log_scales_max) / 2 |
| 17 | self.log_scales_b = (self.log_scales_max - self.log_scales_min) / 2 |
| 18 | self.perform_sampling = True |
| 19 | |
| 20 | def activate_mean(self, means, mean_activation='tanh'): |
| 21 | if mean_activation == 'tanh': |
nothing calls this directly
no outgoing calls
no test coverage detected