code: def _prep_texture(self):
      width, height, depth = self.dimensions
      dim = 3 if depth != 0 else 2 if height != 0 else 1
  
      # generate input data and allocate output buffer
      shape = (
          (depth, height, width)
          if dim == 3
          else (height, width)
          if dim == 2
          else (width,)
      )
      self.shape = shape
  
      # prepare input, output, and texture memory
      # self.data holds the data stored in the texture memory
      tex_data = cupy.random.random(shape, dtype=cupy.float32)
      ch = ChannelFormatDescriptor(
          32, 0, 0, 0, runtime.cudaChannelFormatKindFloat
      )
      arr = CUDAarray(ch, width, height, depth)
      arr.copy_from(tex_data)
      self.data = tex_data
  
      # create resource and texture descriptors
      res = ResourceDescriptor(runtime.cudaResourceTypeArray, cuArr=arr)
      address_mode = (
          runtime.cudaAddressModeClamp,
          runtime.cudaAddressModeClamp,
      )
      tex = TextureDescriptor(
          address_mode,
          runtime.cudaFilterModePoint,
          runtime.cudaReadModeElementType,
      )
  
      # create a texture object
      return TextureObject(res, tex)
  
imports: import unittest
  import numpy
  import pytest
  import cupy
  from cupy import testing
  from cupy.cuda import runtime
  from cupy.cuda.texture import ChannelFormatDescriptor, CUDAarray, ResourceDescriptor, TextureDescriptor, TextureObject
label_desc: Use image node_id 1 for calling the TestElementwiseKernelTexture obj's underlying member method code with example usage: obj._prep_texture() and returns: TextureObject