code: def test_expand_dims():
      def verify_expand_dims(
          dshape, axis, num_newaxis, dtype="float32"
      ):
          x = relay.var("x", relay.ty.TensorType(dshape, dtype))
          y = relay.expand_dims(x, axis, num_newaxis)
          func = relay.Function([x], y)
          x_data = np.random.uniform(size=dshape).astype(dtype)
          verify_results(
              func, [x_data], "test_expand_dims", rtol=1e-5, atol=1e-5
          )
  
      verify_expand_dims((1, 1001), 0, 2)
      verify_expand_dims((1, 1, 1001), 2, 2)
  
imports: import pytest
  import numpy
  import onnxruntime
  import tvm
  from tvm import relay
  from tvm.contrib.target.onnx import to_onnx
  from tvm.relay.testing import run_infer_type
label_desc: Use image node_id 28 for calling a global function with example usage: test_expand_dims() without return types