code: def test_per_tensor_vector_args():
      data = np.array([0, 1, 2, 3, 4, 251, 252, 253, 254, 255]).astype(
          "uint8"
      )
      output = np.array(
          [-63.5, -63, -62.5, -62, -61.5, 62, 62.5, 63, 63.5, 64]
      ).astype("float32")
  
      quant_args = {
          "in_zero_point": np.array([127]).astype("int32"),
          "in_scale": np.array([0.5]).astype("float32"),
      }
  
      dequantize_test_driver(
          in_dtype="uint8",
          quant_args=quant_args,
          in_data=data,
          verify_output_data=output,
          axis=-1,
      )
  
file_path: tvm/tests/python/relay/test_op_qnn_dequantize.py
imports: import tvm
  from tvm import te
  import numpy
  from tvm import relay
  from tvm.contrib import graph_executor
  from tvm.relay.testing import run_infer_type
label_desc: Use image node_id 9 for calling a global function with example usage: test_per_tensor_vector_args() without return types