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Running
on
Zero
Running
on
Zero
import torch | |
import torch.nn as nn | |
class Dummy(nn.Module): | |
def __init__(self, *args, **kwargs): | |
super().__init__() | |
self.name: str = self.__class__.__name__ | |
self.weight = 1.0 | |
def forward(self, dummy: torch.Tensor, *args, **kwargs) -> torch.Tensor: | |
return torch.tensor([0.0] * dummy.shape[0], device=dummy.device) | |
def build(cls, config): | |
obj = cls() | |
return obj | |