Importing model refusing to output any information that is new?
```
network TwoLayersNet:
  layers:
    fc1: Linear(300, 42)
    fc2: Linear(42, 300)
  forward x:
    x.fc1.relu.fc2

proc load*(ctx: Context[Tensor[float32]], inny : int): TwoLayersNet[float32] =
  result.fc1.weight = ctx.variable(read_npy[float32](&"model/hiddenweight{inny}.npy"), requires_grad = true)
  result.fc1.bias   = ctx.variable(read_npy[float32](&"model/hiddenbias{inny}.npy"), requires_grad = true)
  result.fc2.weight = ctx.variable(read_npy[float32](&"model/outputweight{inny}.npy"), requires_grad = true)
  result.fc2.bias   = ctx.variable(read_npy[float32](&"model/outputbias{inny}.npy"), requires_grad = true)

proc forward(network: TwoLayersNet, x: Variable): Variable =
  result =  x.linear(
    network.fc1.weight, network.fc1.bias).relu.linear(
      network.fc2.weight, network.fc2.bias)
```

This is essentially the same code as in the example, saved with the same function shown to me. But yet the output looks a bit like this.

![image](https://user-images.githubusercontent.com/54078872/180230664-5bf21f5d-8fec-4709-9696-6f042b54eca2.png)

I don't really know... what to do or where to go from here.