code: def test_simple_biased(self):
      C = 8
      x = Tensor.rand(1, C, 5, 5)
      w = Tensor.eye(C).reshape((C, C, 1, 1))
      b = Tensor(np.arange(C).astype(np.float32))
      ret = Tensor.conv2d(x, w, b).relu().conv2d(w, b)
  
      print(ret.numpy())
  
file_path: tinygrad/test/test_conv.py
imports: import unittest
  import numpy
  from tinygrad.tensor import Tensor, Device
label_desc: Use image node_id 5 for calling the TestConv obj's underlying member method code with example usage: obj.test_simple_biased() without return types