code: def test_18933_batch_0():
      arr = np.random.rand(0, 1, 1)  # batch = 0
      arr_grad = np.empty_like(arr)
      gamma = np.random.rand(1)
      gamma_grad = np.empty_like(gamma)
      beta = np.random.rand(1)
      beta_grad = np.empty_like(beta)
      autograd.mark_variables(
          [arr, gamma, beta], [arr_grad, gamma_grad, beta_grad]
      )
      with autograd.record():
          a = npx.instance_norm(arr, gamma, beta)
      a.backward()
  
imports: from mxnet import np, npx, use_np, autograd, initializer, gluon
  from common import with_environment
  import pytest
label_desc: Use image node_id 2 for calling a global function with example usage: test_18933_batch_0() without return types