code: def __init__(self, config, tensors, key, index, sin, cos):
      self.config = config
      self.index = index
  
      self.self_attn = ExLlamaAttention(
          self.config, tensors, key + ".self_attn", sin, cos, self.index
      )
      self.mlp = ExLlamaMLP(self.config, tensors, key + ".mlp")
  
      self.input_layernorm = ExLlamaRMSNorm(
          self.config, tensors, key + ".input_layernorm.weight"
      )
      self.post_attention_layernorm = ExLlamaRMSNorm(
          self.config, tensors, key + ".post_attention_layernorm.weight"
      )
  
imports: import sys
  import torch
  from torch import nn
  import torch.nn.functional
  from safetensors import safe_open
  import cuda_ext
  import json
  import math
  import gc
  from enum import Enum
label_desc: Use image node_id 1 to create a new ExLlamaDecoderLayer object  with example: obj = ExLlamaDecoderLayer(config, tensors, key, index, sin, cos)