code: def test_two_binops_no_rerun(self):
      Tensor.no_grad = True
      x = Tensor.randn(1, 12, 128, 256)
      w = Tensor.randn(32, 12, 3, 3)
      out = x.conv2d(w, stride=(2, 2), padding=(1, 1))
      r1, r2 = out.relu(), (out - 1)
      np.testing.assert_allclose(r1.numpy(), np.maximum(out.numpy(), 0))
      np.testing.assert_allclose(r2.numpy(), out.numpy() - 1)
      Tensor.no_grad = False
  
file_path: tinygrad/test/test_conv.py
imports: import unittest
  import numpy
  from tinygrad.tensor import Tensor, Device
label_desc: Use image node_id 6 for calling the TestConv obj's underlying member method code with example usage: obj.test_two_binops_no_rerun() without return types