(self, shape, name=None)
| 79 | self.scale = scale |
| 80 | |
| 81 | def __call__(self, shape, name=None): |
| 82 | if shape[0] != shape[1]: |
| 83 | w = np.zeros(shape) |
| 84 | o_idxs = np.arange(shape[0]) |
| 85 | i_idxs = np.random.permutation(np.tile(np.arange(shape[1]), shape[0]/shape[1]+1))[:shape[0]] |
| 86 | w[o_idxs, i_idxs] = self.scale |
| 87 | else: |
| 88 | w = np.identity(shape[0]) * self.scale |
| 89 | return sharedX(w, name=name) |
| 90 | |
| 91 | class ReluInit(object): |
| 92 |