code: def __init__(
      self,
      hidden_size,
      intermediate_size,
      num_attention_heads,
      num_hidden_layers,
      attention_probs_dropout_prob,
      hidden_dropout_prob,
  ):
      self.layer = [
          BertLayer(
              hidden_size,
              intermediate_size,
              num_attention_heads,
              attention_probs_dropout_prob,
              hidden_dropout_prob,
          )
          for _ in range(num_hidden_layers)
      ]
  
imports: from tinygrad.tensor import Tensor
  from tinygrad.nn import Linear, LayerNorm, Embedding
  from tinygrad.helpers import fetch, get_child
  from pathlib import Path
label_desc: Use image node_id 1 to create a new BertEncoder object  with example: obj = BertEncoder(hidden_size, intermediate_size, num_attention_heads, num_hidden_layers, attention_probs_dropout_prob, hidden_dropout_prob)