code: def test_nd_array_narrow_array_class_cuda(self, ctx_name):
      self.try_to_set_ctx(ctx_name)
  
      ctx = nn.get_current_context()
  
      ctx.array_class = "CudaArray"
      a = nn.NdArray(2, 5)
      a.cast(np.float32, ctx=ctx)
      # No error
      b = a.narrow(0, 0, 1)
  
      ctx.array_class = "CudaCachedArray"
      a = nn.NdArray(2, 5)
      a.cast(np.float32, ctx=ctx)
      # No error
      b = a.narrow(0, 0, 1)
  
      # CudaDlpackArray
      # Dlpack Array is created using nn.utils.dlpack.to_dlpack, but is not tested here because it is not NdArray.
  
      ctx.array_class = "CudaCachedUnifiedArray"
      a = nn.NdArray(2, 5)
      a.cast(np.float32, ctx=ctx)
      with pytest.raises(RuntimeError):
          b = a.narrow(0, 0, 1)
  
      ctx.array_class = "CudaCachedHostArray"
      a = nn.NdArray(2, 5)
      a.cast(np.float32, ctx=ctx)
      with pytest.raises(RuntimeError):
          b = a.narrow(0, 0, 1)
  
      ctx.array_class = "CudaCachedVirtualArray"
      a = nn.NdArray(2, 5)
      a.cast(np.float32, ctx=ctx)
      with pytest.raises(RuntimeError):
          b = a.narrow(0, 0, 1)
  
imports: import numpy
  import nnabla
  import pytest
  from nnabla.ext_utils import get_extension_context
  import nnabla.functions
label_desc: Use image node_id 14 for calling the TestNdArrayNarrow obj's underlying member method code with example usage: obj.test_nd_array_narrow_array_class_cuda(ctx_name) without return types