code: def test_thread_multiple_dtypes(self, xp):
      x1 = testing.shaped_arange((3, 3), xp, xp.int64)
      y1 = testing.shaped_arange((3, 3), xp, xp.int64)
      x2 = x1.astype(xp.float64)
      y2 = y1.astype(xp.float64)
      threads = [None] * 100
      out = [None] * 100
  
      @cupy.fuse()
      def f(x, y):
          return x + y * 2
  
      def _target(tid, x, y):
          if xp is cupy:
              xp.cuda.Device(0).use()
          out[tid] = f(x, y).astype(xp.int64)
  
      def run_thread(tid):
          x, y = (x1, y1) if tid % 2 == 0 else (x2, y2)
          t = threading.Thread(target=_target, args=(tid, x, y))
          threads[tid] = t
          t.daemon = True
          t.start()
  
      for tid in range(0, 50):
          run_thread(tid)
  
      for tid in range(0, 50):
          threads[tid].join()
  
      for tid in range(50, 100):
          run_thread(tid)
  
      for tid in range(50, 100):
          threads[tid].join()
  
      return xp.concatenate(out)
  
imports: import threading
  import unittest
  from unittest import mock
  import pytest
  import cupy
  from cupy import testing
  from cupy_tests.core_tests.fusion_tests import fusion_utils
label_desc: Use image node_id 2 for calling the TestFusionThread obj's underlying member method code with example usage: obj.test_thread_multiple_dtypes(xp) and returns: xp, unknown