(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8,
weight_decay=1e-2, amsgrad=False)
| 36 | """ |
| 37 | |
| 38 | def __init__(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, |
| 39 | weight_decay=1e-2, amsgrad=False): |
| 40 | if not 0.0 <= lr: |
| 41 | raise ValueError("Invalid learning rate: {}".format(lr)) |
| 42 | if not 0.0 <= eps: |
| 43 | raise ValueError("Invalid epsilon value: {}".format(eps)) |
| 44 | if not 0.0 <= betas[0] < 1.0: |
| 45 | raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) |
| 46 | if not 0.0 <= betas[1] < 1.0: |
| 47 | raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) |
| 48 | if not 0.0 <= weight_decay: |
| 49 | raise ValueError("Invalid weight_decay value: {}".format(weight_decay)) |
| 50 | defaults = dict(lr=lr, betas=betas, eps=eps, |
| 51 | weight_decay=weight_decay, amsgrad=amsgrad) |
| 52 | super(AdamW2, self).__init__(params, defaults) |
| 53 | |
| 54 | def __setstate__(self, state): |
| 55 | super(AdamW2, self).__setstate__(state) |
nothing calls this directly
no outgoing calls
no test coverage detected