class_docstr: Implements a Luna Encoder Layer used in masked pre-trained language models
  and fine-tuned classication/regression mdoel
class_docstr_tok: ["Implements","a","Luna","Encoder","Layer","used","in","masked","pre-trained","language","models","and","fine-tuned","classication\/regression","mdoel"]
code: def build_fc1(self, input_dim, output_dim):
      return nn.Linear(input_dim, output_dim)
  
imports: import math
  from typing import Callable, Optional
  import torch
  from fairseq import utils
  from fairseq.modules import LayerDropModuleList, LayerNorm, PositionalEmbedding
  from fairseq.modules.fairseq_dropout import FairseqDropout
  from pytext.utils.usage import log_class_usage
  from torch import nn
  from torch.nn import Parameter
  from .None import LunarMultiheadAttention
label_desc: Use image node_id 2 for calling the LunaSentenceEncoderLayer obj's underlying member method code with example usage: obj.build_fc1(input_dim, output_dim) and returns: nn