Hi,

I’m implementing a loss function in Pytorch 1.7.0 but I don’t know how I can take an auxiliary matrix D (a constant matrix) as an input in addition to the output and target tensors it gets from the model?

```
def my_loss(output, target):
loss = torch.mean((output - target)**2)
return loss
model = nn.Linear(2, 2)
x = torch.randn(1, 2)
target = torch.randn(1, 2)
output = model(x)
loss = my_loss(output, target)
loss.backward()
print(model.weight.grad)
```

Any help?

Regards,