code: def forward(self):
      return (self.x * self.W).sum()
  
imports: import numpy
  import torch
  import unittest
  from tinygrad import Tensor, Device
  from tinygrad.nn.optim import Adam, SGD, AdamW
  from tinygrad.helpers import CI
label_desc: Use image node_id 2 for calling the TeenyNet obj's underlying member method code with example usage: obj.forward() and returns: unknown