code: def test_1x1_6_24(self):
      x = Tensor.randn(1, 24 * 4, 32, 64)
      w = Tensor.randn(6 * 4, 24 * 4, 1, 1)
      x.conv2d(w).permute(0, 2, 3, 1).reshape(
          32, 384, 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 1 for calling the TestSpecific obj's underlying member method code with example usage: obj.test_1x1_6_24() without return types