code: def test_pixel_shuffle(self, batch_size, CHW, r, backend):
      C, H, W = CHW
      input_shape = (batch_size, C * r * r, H, W)
      model = nn.PixelShuffle(upscale_factor=r)
      run_compare_torch(input_shape, model, backend=backend)
  
imports: import sys
  from coremltools.converters.mil import testing_reqs
  from coremltools.converters.mil.testing_reqs import *
  from .testing_utils import *
label_desc: Use image node_id 1 for calling the TestPixelShuffle obj's underlying member method code with example usage: obj.test_pixel_shuffle(batch_size, CHW, r, backend) without return types