code: def test_index_put_accumulate_expanded_values(self, device):
      # checks the issue with cuda: https://github.com/pytorch/pytorch/issues/39227
      # and verifies consistency with CPU result
      t = Tensor.zeros((5, 2))
      t_dev = t.to(device)
      indices = [
          Tensor([0, 1, 2, 3]),
          Tensor(
              [
                  1,
              ]
          ),
      ]
      indices_dev = [i.to(device) for i in indices]
      values0d = Tensor(1.0)
      values1d = Tensor(
          [
              1.0,
          ]
      )
  
      out_cuda = t_dev.index_put_(
          indices_dev, values0d.to(device), accumulate=True
      )
      out_cpu = t.index_put_(indices, values0d, accumulate=True)
      numpy_testing_assert_equal_helper(out_cuda.cpu(), out_cpu)
  
      out_cuda = t_dev.index_put_(
          indices_dev, values1d.to(device), accumulate=True
      )
      out_cpu = t.index_put_(indices, values1d, accumulate=True)
      numpy_testing_assert_equal_helper(out_cuda.cpu(), out_cpu)
  
      t = Tensor.zeros(4, 3, 2)
      t_dev = t.to(device)
  
      indices = [
          Tensor(
              [
                  0,
              ]
          ),
          Tensor.arange(3)[:, None],
          Tensor.arange(2)[None, :],
      ]
      indices_dev = [i.to(device) for i in indices]
      values1d = np.array([-1.0, -2.0])
      values2d = np.array(
          [
              [-1.0, -2.0],
          ]
      )
  
      out_cuda = t_dev.index_put_(
          indices_dev, values1d.to(device), accumulate=True
      )
      out_cpu = t.index_put_(indices, values1d, accumulate=True)
      numpy_testing_assert_equal_helper(out_cuda.cpu(), out_cpu)
  
      out_cuda = t_dev.index_put_(
          indices_dev, values2d.to(device), accumulate=True
      )
      out_cpu = t.index_put_(indices, values2d, accumulate=True)
      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 7 for calling the TestIndexing obj's underlying member method code with example usage: obj.test_index_put_accumulate_expanded_values(device) without return types