class_docstr: Initialize the Lightseq Quant Linear Layer.
  
  Static variable:
      layer_id: The layer-index counter starting from 0 and incrementing by 1 every time a layer object is instantiated,
  Arguments:
      config: An object of LSQuantLinearLayer config, see get_config
class_docstr_tok: ["Initialize","the","Lightseq","Quant","Linear","Layer",".","Static","variable",":","layer_id",":","The","layer-index","counter","starting","from","0","and","incrementing","by","1","every","time","a","layer","object","is","instantiated",",","Arguments",":","config",":","An","object","of","LSQuantLinearLayer","config",",","see","get_config"]
code: def enable_quant(self):
      self.quant_mode = True
  
imports: from dataclasses import dataclass
  import math
  import torch
  from torch import nn
  from torch.autograd import Function
  from torch.nn import functional
  from lightseq.training.ops.pytorch.quantization import weight_quant_config, act_quant_config
  from lightseq.training.ops.pytorch.builder import TransformerBuilder
label_desc: Use image node_id 6 for calling the LSQuantLinearLayer obj's underlying member method code with example usage: obj.enable_quant() without return types