code: def __init__(
      self,
      batch_size,
      hidden_size,
      intermediate_size,
      heads,
      attn_dropout_ratio,
      hidden_dropout_ratio,
      num_hidden_layers,
      initializer_range,
  ):
      self.layer_id = -1
      self.batch_size = batch_size
      self.hidden_size = hidden_size
      self.intermediate_size = intermediate_size
      self.heads = heads
      self.attn_dropout_ratio = attn_dropout_ratio
      self.hidden_dropout_ratio = hidden_dropout_ratio
      self.num_hidden_layers = num_hidden_layers
      self.initializer_range = initializer_range
  
imports: import json
  import math
  import torch
  from torch import nn
  from torch.autograd import Function
  from ..op_builder import TransformerBuilder, StochasticTransformerBuilder
label_desc: Use image node_id 1 to create a new TransformerConfig object  with example: obj = TransformerConfig(batch_size, hidden_size, intermediate_size, heads, attn_dropout_ratio, hidden_dropout_ratio, num_hidden_layers, initializer_range)