code: def test_nd_array_narrow_get_cache(self, ctx_name):
      self.try_to_set_ctx(ctx_name)
  
      a = nn.NdArray(3)
      a = F.identity(a)
      a.fill(1)
  
      b = a.narrow(0, 0, 2)
      c = b.narrow(0, 0, 1)
  
      b.fill(2)
      c.fill(3)
  
      # Make head array's context in `a` become current context
      a.cast(dtype=np.float32, ctx=nn.get_current_context())
  
      # Create a cache of different type data
      a.get_data(mode="r", dtype=np.float16)
      b.get_data(mode="r", dtype=np.float16)
      c.get_data(mode="r", dtype=np.float16)
  
      assert (
          a.get_data(mode="r", dtype=np.float16) == np.array([3, 2, 1])
      ).all()
  
      c += 1
  
      # If the cache remains, the following test will fail.
      assert (
          a.get_data(mode="r", dtype=np.float16) == np.array([4, 2, 1])
      ).all()
      assert (
          b.get_data(mode="r", dtype=np.float16) == np.array([4, 2])
      ).all()
      assert (
          c.get_data(mode="r", dtype=np.float16) == np.array([4])
      ).all()
  
      c.fill(5)
  
      assert (
          a.get_data(mode="r", dtype=np.float16) == np.array([5, 2, 1])
      ).all()
      assert (
          b.get_data(mode="r", dtype=np.float16) == np.array([5, 2])
      ).all()
      assert (
          c.get_data(mode="r", dtype=np.float16) == np.array([5])
      ).all()
  
      c.zero()
  
      assert (
          a.get_data(mode="r", dtype=np.float16) == np.array([0, 2, 1])
      ).all()
      assert (
          b.get_data(mode="r", dtype=np.float16) == np.array([0, 2])
      ).all()
      assert (
          c.get_data(mode="r", dtype=np.float16) == np.array([0])
      ).all()
  
imports: import numpy
  import nnabla
  import pytest
  from nnabla.ext_utils import get_extension_context
  import nnabla.functions
label_desc: Use image node_id 8 for calling the TestNdArrayNarrow obj's underlying member method code with example usage: obj.test_nd_array_narrow_get_cache(ctx_name) without return types