(self)
| 35 | |
| 36 | class BaseNet(nn.Module): |
| 37 | def __init__(self): |
| 38 | super(BaseNet, self).__init__() |
| 39 | |
| 40 | # register buffer |
| 41 | self.register_buffer( |
| 42 | 'mean', torch.Tensor([-.030, -.088, -.188])[None, :, None, None]) |
| 43 | self.register_buffer( |
| 44 | 'std', torch.Tensor([.458, .448, .450])[None, :, None, None]) |
| 45 | |
| 46 | def set_requires_grad(self, state: bool): |
| 47 | for param in chain(self.parameters(), self.buffers()): |