code: def test_1x1_28_28(self):
      x = Tensor.randn(1, 256, 28, 28)
      w = Tensor.randn(256, 256, 1, 1)
      x.conv2d(w).permute(0, 2, 3, 1).reshape(
          28, 28 * 256 // 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 4 for calling the TestSpecific obj's underlying member method code with example usage: obj.test_1x1_28_28() without return types