linear.py 文件源码

def forward(self, tensor_1: torch.Tensor, tensor_2: torch.Tensor) -> torch.Tensor:
        combined_tensors = util.combine_tensors(self._combination, [tensor_1, tensor_2])
        dot_product = torch.matmul(combined_tensors, self._weight_vector)
        return self._activation(dot_product + self._bias)