class_docstr: Hugging Face Llama Agent.
  
  LlamaForCausalLM is a multi-layer decoder-only Transformer.
  The decoder is initialized with pretrained weights from Hugging Face.
  Read more about this model here
  <https://huggingface.co/docs/transformers/main/model_doc/llama>.
docstr: Override to always set fp16friendly to False.
  
  Pads context tensor on the left and label tensor on the right, such that when
  they are concatenated the example meets in the middle to form a continuous
  sequence.
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code: def _pad_tensor(self, items, is_label=False):
      """
      Override to always set fp16friendly to False.
  
      Pads context tensor on the left and label tensor on the right, such that when
      they are concatenated the example meets in the middle to form a continuous
      sequence.
      """
      return padded_tensor(
          items,
          pad_idx=self.NULL_IDX,
          left_padded=(not is_label),
          fp16friendly=False,
      )
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  import torch
  from parlai.agents.hugging_face.dict import LlamaDictionaryAgent, _init_llama_path
  from parlai.core.torch_generator_agent import TorchGeneratorAgent, TorchGeneratorModel
  from parlai.core.torch_classifier_agent import TorchClassifierAgent
  from parlai.utils.torch import IdentityLayer, padded_tensor
  from parlai.agents.transformer.transformer import _check_positional_embeddings
  import parlai.utils.logging
label_desc: Use image node_id 6 for calling the LlamaAgent obj's underlying member method code with example usage: obj._pad_tensor(items, is_label) and returns: padded_tensor