code: def ready(self):
      return torch.all(self.scale != 0)
  
imports: import time
  import torch.nn
  import math
  import json
  import os
  import torch
  import transformers
  from texttable import Texttable
  from transformers import AutoModelForCausalLM, AutoConfig, AutoTokenizer
  from huggingface_hub import HfApi
  from accelerate import init_empty_weights
  from text_generation_server.utils import initialize_torch_distributed, Weights
  from text_generation_server.utils.hub import weight_files
  from text_generation_server.utils.gptq.quant_linear import QuantLinear
  from loguru import logger
  from typing import Optional
label_desc: Use image node_id 7 for calling the Quantizer obj's underlying member method code with example usage: obj.ready() and returns: torch