class_docstr: Latent depth (https://arxiv.org/abs/2009.13102) implemented in
  TransformerEncoder.
class_docstr_tok: ["Latent","depth","(","https",":","\/\/arxiv.org\/abs\/2009.13102",")","implemented","in","TransformerEncoder","."]
code: def _build_encoder_layer(self, args, idx=None):
      return LatentTransformerEncoderLayer(
          args, idx, layer_select=self.layer_select
      )
  
imports: from typing import Any, Dict, Optional
  import torch.nn
  from fairseq.models.fairseq_encoder import EncoderOut
  from fairseq.models.transformer import TransformerDecoder, TransformerEncoder
  from fairseq.modules import TransformerDecoderLayer, TransformerEncoderLayer
  from torch import Tensor
  from ..modules.latent_layers import LayerSelect
label_desc: Use image node_id 3 for calling the LatentTransformerEncoder obj's underlying member method code with example usage: obj._build_encoder_layer(args, idx) and returns: LatentTransformerEncoderLayer