Some changes

test.py

@@ -16,3 +16,11 @@ print(positions)
 print(indices)
     
 
+# Create a tensor with attached grads from a numpy array
+# Note: We pass zero=True to initialize the grads to zero on allocation
+x = spy.Tensor.numpy(device, np.array([1, 2, 3, 4], dtype=np.float32)).with_grads(zero=True)
+
+# Evaluate the polynomial and ask for a tensor back
+# Expecting result = 2x^2 + 8x - 1
+result: spy.Tensor = module.polynomial(a=2, b=8, c=-1, x=x, _result='tensor')
+print(result.to_numpy())