(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-6, weight_decay=0.01)
| 68 | |
| 69 | class LAMB(Optimizer): |
| 70 | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-6, weight_decay=0.01): |
| 71 | defaults = dict(lr=lr, betas=betas, eps=eps, weight_decay=weight_decay) |
| 72 | super().__init__(params, defaults) |
| 73 | |
| 74 | def step(self, closure=None): |
| 75 | loss = None |