code: def test_big_vec_mul(self):
      # from LLaMA
      #   0 buffer<4096, dtypes.float>                      [View((1024, 1, 1, 4), (4, 0, 0, 1), 0, None)]
      #   1 buffer<4096, dtypes.float>                      [View((1024, 1024, 4, 4), (0, 4, 1, 0), 0, None)]
      #   2 buffer<16777216, dtypes.half>                   [View((1024, 1024, 4, 4), (16384, 4, 1, 4096), 0, None)]
      x = Tensor.randn(4096).realize()
      w = (
          Tensor.randn(4096, 4096, device="cpu")
          .cast(dtypes.float16)
          .to(Device.DEFAULT)
          .realize()
      )
      (x @ w.T).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 3 for calling the TestSpecific obj's underlying member method code with example usage: obj.test_big_vec_mul() without return types