code: def test_3x3_28_28_stride_2(self):
      x = Tensor.randn(1, 288, 36, 36)
      w = Tensor.randn(384, 288, 3, 3)
      x.conv2d(w, stride=2).permute(0, 2, 3, 1).reshape(
          17, 17 * 384 // 4, 4
      ).contiguous().realize()
  
file_path: tinygrad/test/test_specific_conv.py
imports: import unittest
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import CI
  from tinygrad import Device, dtypes
label_desc: Use image node_id 5 for calling the TestSpecific obj's underlying member method code with example usage: obj.test_3x3_28_28_stride_2() without return types