code: def bias_np(bias_shape, bias, dtype):
      if bias:
          if "int" in dtype:
              data = np.random.randint(
                  -128, 127, size=bias_shape
              ).astype("int32")
          elif "float" in dtype:
              data = np.random.random(bias_shape).astype(dtype)
          return data
      else:
          return None
  
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 5 for calling a global function with example usage: bias_np(bias_shape, bias, dtype) and returns: data, None