class_docstr: Decoder layer only for inference.
code: def set_self_attn_cache(self, incremental_state, cache):
      self.set_incremental_state(incremental_state, "cache", cache)
  
file_path: lightseq/lightseq/training/cli/fs_modules/ls_fs_transformer_decoder_layer.py
imports: from fairseq.incremental_decoding_utils import with_incremental_state
  from lightseq.training.ops.pytorch.transformer_decoder_layer import LSTransformerDecoderLayer
label_desc: Use image node_id 3 for calling the LSFSTransformerDecoderLayer obj's underlying member method code with example usage: obj.set_self_attn_cache(incremental_state, cache) without return types