code: def test_concatenate4(target, dev):
      np.random.seed(7)
      x_shape = (2, 1)
      x = relay.var("x", shape=x_shape, dtype="int64")
      concat = relay.concatenate([x], axis=1)
      f = relay.Function([x], concat)
      x_val = np.array([[33], [13]], dtype="int64")
      graph = relay.create_executor(
          "graph", device=tvm.cpu(), target="llvm"
      )
      op_res = graph.evaluate(f)(x_val)
      ref_res = np.concatenate([x_val], axis=1)
      tvm.testing.assert_allclose(
          op_res.numpy(), ref_res, rtol=0.000001
      )
  
imports: import numpy
  import pytest
  import tvm
  from tvm import te
  import scipy
  from tvm import relay
  import pytest
  from tvm.relay.testing import run_infer_type
  import tvm.topi.testing
  from tvm.contrib.nvcc import have_fp16
  import tvm.testing
  from tvm.topi.utils import get_const_tuple
label_desc: Use image node_id 18 for calling a global function with example usage: test_concatenate4(target, dev) without return types