code: def __init__(
      self,
      module,
      p=1,
      update_step=1000,
      bits=8,
      method="histogram",
      clamp_threshold=5,
  ):
      self.module = module
      self.p = p
      self.update_step = update_step
      self.counter = 0
      self.bits = bits
      self.method = method
      self.clamp_threshold = clamp_threshold
      self.handle = None
      self.register_hook()
  
imports: import torch
  from ..ops import emulate_int
label_desc: Use image node_id 1 to create a new ActivationQuantizer object  with example: obj = ActivationQuantizer(module, p, update_step, bits, method, clamp_threshold)