code: def test_tyck_alloc_tensor():
      mod = tvm.IRModule()
      mod.import_from_std("core.rly")
      sto = relay.Var("x", storage_type(mod))
      sh = relay.const(np.array([1, 2]), dtype="int64")
      at = relay.op.memory.alloc_tensor(
          sto, relay.const(0, dtype="int64"), sh
      )
      mod["main"] = relay.Function([sto], at)
      relay.transform.InferType()(mod)
  
file_path: tvm/tests/python/relay/test_memory_passes.py
imports: import tvm
  from tvm import te
  import numpy
  from tvm import relay
label_desc: Use image node_id 4 for calling a global function with example usage: test_tyck_alloc_tensor() without return types