code: def input_quant(input_np, dtype):
      if "float" in dtype:
          return None
      quant, scale, zp = quantize_np(input_np, dtype)
      return {"zero": zp, "scale": scale, "data": quant}
  
imports: import pytest
  import numpy
  from tvm import te, topi
  import tvm.testing
  from tvm.topi import testing
  from tvm.contrib.hexagon.build import HexagonLauncher
  from tvm.contrib.hexagon.session import Session
  import tvm.topi.hexagon.qnn
  import tvm.topi.hexagon.slice_ops
  from ...infrastructure import transform_numpy, quantize_np
  from tvm.contrib.hexagon import allocate_hexagon_array
label_desc: Use image node_id 3 for calling a global function with example usage: input_quant(input_np, dtype) and returns: dict, None