code: def test_index_put_accumulate_non_contiguous(self, device):
      t = Tensor.zeros((5, 2, 2))
      t_dev = t.to(device)
      t1 = t_dev[:, 0, :]
      t2 = t[:, 0, :]
      self.assertTrue(not t1.lazydata.st.contiguous)
      self.assertTrue(not t2.lazydata.st.contiguous)
  
      indices = [
          Tensor([0, 1]),
      ]
      indices_dev = [i.to(device) for i in indices]
      value = Tensor.randn(2, 2)
      out_cuda = t1.index_put_(
          indices_dev, value.to(device), accumulate=True
      )
      out_cpu = t2.index_put_(indices, value, accumulate=True)
      self.assertTrue(not t1.lazydata.st.contiguous)
      self.assertTrue(not t2.lazydata.st.contiguous)
  
      numpy_testing_assert_equal_helper(out_cuda.cpu(), out_cpu)
  
imports: import math, unittest, random, copy
  import numpy
  from tinygrad import Tensor, dtypes, Device
  from tinygrad.lazy import LazyBuffer
  from tinygrad.shape.shapetracker import ShapeTracker
  from tinygrad.shape.view import View
  from tinygrad.helpers import CI
label_desc: Use image node_id 8 for calling the TestIndexing obj's underlying member method code with example usage: obj.test_index_put_accumulate_non_contiguous(device) without return types