code: def __init__(self, args):
      super().__init__(args)
  
      self.left_context = args.left_context // args.encoder_stride
      self.right_context = args.right_context // args.encoder_stride
  
imports: from typing import List, Tuple
  import torch
  import torch.nn.functional
  from torch import Tensor, nn
  from fairseq.models import FairseqEncoder
  from fairseq.models.speech_to_text import ConvTransformerEncoder
  from fairseq.models.speech_to_text.utils import attention_suppression, lengths_to_encoder_padding_mask, segments_to_sequence, sequence_to_segments
  from fairseq.modules import MultiheadAttention, TransformerEncoderLayer
label_desc: Use image node_id 1 to create a new AugmentedMemoryTransformerEncoderLayer object from inherited base classes: TransformerEncoderLayer with example: obj = AugmentedMemoryTransformerEncoderLayer(args)