code: def test_rvq(self):
      x = torch.randn(1, 16, 2048, requires_grad=True)
      vq = ResidualVectorQuantizer(n_q=8, dimension=16, bins=8)
      res = vq(x, 1.0)
      assert res.x.shape == torch.Size([1, 16, 2048])
      res.x.sum().backward()
      assert torch.allclose(x.grad.data, torch.ones(1))
  
imports: import torch
  from audiocraft.quantization.vq import ResidualVectorQuantizer
label_desc: Use image node_id 1 for calling the TestResidualVectorQuantizer obj's underlying member method code with example usage: obj.test_rvq() without return types