| 42 | """ |
| 43 | |
| 44 | def __init__(self, num_groups, num_channels, eps=1e-5, affine=True, **kwargs): |
| 45 | super().__init__(**kwargs) |
| 46 | assert num_channels % num_groups == 0 |
| 47 | self.num_groups = num_groups |
| 48 | self.num_channels = num_channels |
| 49 | self.eps = eps |
| 50 | self.affine = affine |
| 51 | if self.affine: |
| 52 | self.weight = Parameter(np.ones(num_channels, dtype=np.float32)) |
| 53 | self.bias = Parameter(np.zeros(num_channels, dtype=np.float32)) |
| 54 | else: |
| 55 | self.weight = None |
| 56 | self.bias = None |
| 57 | self.reset_parameters() |
| 58 | |
| 59 | def reset_parameters(self): |
| 60 | if self.affine: |