demo 1

app.py

@@ -18,6 +18,9 @@ RandomTensor.to(device)
 def sysinfo(newdev = device):
     currentDevice = RandomTensor.get_device();
     tensorExample = RandomTensor.to(newdev)
+                                .norm(p=2, dim=1, keepdim=True) # Apply an operation similar to l2_norm
+                                .unsqueeze(-1)                 # Add an extra dimension
+                                .to(newdev) 
     
     tocpu = tensorExample.cpu().squeeze().half().tolist()