[VTA][SIM] resnet18 (onnx and mxnet) both can't run on simulator

I can successfully build the runtime lib and load in VTA Runtime;

But, It doesn’t seem to be running on SIM at all !! The data for each item is empty.

Sim Run_Insn has not been used once;

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with autotvm.tophub.context(target):

    # Populate the shape and data type dictionary for ImageNet classifier input
    dtype_dict = {"data": "float32"}
    shape_dict = {"data": (env.BATCH, 3, 224, 224)}

    # Get off the shelf gluon model, and convert to relay
    mod, params = relay.frontend.from_onnx(onnx_model, shape_dict)

    # Update shape and type dictionary
    shape_dict.update({k: v.shape for k, v in params.items()})
    dtype_dict.update({k: str(v.dtype) for k, v in params.items()})

    with tvm.transform.PassContext(opt_level=3):
        with relay.quantize.qconfig(global_scale=8.0, skip_conv_layers=[0]):
            mod = relay.quantize.quantize(mod, params=params)
        # Perform graph packing and constant folding for VTA target
        assert env.BLOCK_IN == env.BLOCK_OUT
        # do device annotation if target is intelfocl or sim
        relay_prog = graph_pack(
            mod["main"],
            env.BATCH,
            env.BLOCK_OUT,
            env.WGT_WIDTH,
            start_name=start_name,
            stop_name=stop_name,
            device_annot=(env.TARGET == "intelfocl"),
        )
      
    with vta.build_config(
        opt_level=3, disabled_pass={"AlterOpLayout", "tir.CommonSubexprElimTIR"}
    ):
        graph, lib, params = relay.build(
            relay_prog, target=tvm.target.Target(target, host=env.target_host), params=params
        )

    temp = utils.tempdir()
    lib.export_library(temp.relpath("graphlib.tar"))
    remote.upload(temp.relpath("graphlib.tar"))
    lib = remote.load_module("graphlib.tar")
    m = graph_executor.create(graph, lib, ctx)

image = np.random.logistic(size=(env.BATCH, 3, 224, 224))
m.set_input("data", image)

if env.TARGET in ["sim", "tsim"]:
        simulator.clear_stats()

m.module.time_evaluator("run", ctx, number=1, repeat=1)
if env.TARGET in ["sim", "tsim"]:
        sim_stats = simulator.stats()
        print("execution statistics:")
        for k, v in sim_stats.items():
                print("\t{:<16}: {:>16}".format(k, v))

Fixed: time_evaluator return is a function; need to exec this function

prof_fnc = m.module.time_evaluator("run", ctx, number=1, repeat=1)
if env.TARGET in ["sim", "tsim"]:
        prof_fnc()
        sim_stats = simulator.stats()
        print("execution statistics:")
        for k, v in sim_stats.items():
                print("\t{:<16}: {:>16}".format(k, v))