methods:
  __init__:
    parameters:
      # General
      n:
        annotation: int
        default: 1
      best_of:
        annotation: Optional[int]
        default: null
      use_beam_search:
        annotation: bool
        default: false
      beam_search_diversity_rate:
        annotation: Optional[float]
        default: null
      early_stopping:
        annotation: Optional[int]
        default: null
      max_tokens:
        annotation: int
        default: 32
      min_tokens:
        annotation: Optional[int]
        default: null
      end_id:
        annotation: Optional[int]
        default: null
      pad_id:
        annotation: Optional[int]
        default: null
      # Sampling
      seed:
        annotation: Optional[int]
        default: null
      temperature:
        annotation: Optional[float]
        default: null
      top_k:
        annotation: Optional[int]
        default: null
      top_p:
        annotation: Optional[float]
        default: null
      top_p_decay:
        annotation: Optional[float]
        default: null
      top_p_min:
        annotation: Optional[float]
        default: null
      top_p_reset_ids:
        annotation: Optional[int]
        default: null
      min_p:
        annotation: Optional[float]
        default: null
      # Panelities
      repetition_penalty:
        annotation: Optional[float]
        default: null
      presence_penalty:
        annotation: Optional[float]
        default: null
      frequency_penalty:
        annotation: Optional[float]
        default: null
      length_penalty:
        annotation: Optional[float]
        default: null
      no_repeat_ngram_size:
        annotation: Optional[int]
        default: null
      # Stop words and bad words
      stop:
        annotation: Union[List[str], str, NoneType]
        default: null
      stop_token_ids:
        annotation: Optional[List[int]]
        default: null
      include_stop_str_in_output:
        annotation: bool
        default: false
      bad:
        annotation: Union[List[str], str, NoneType]
        default: null
      bad_token_ids:
        annotation: Optional[List[int]]
        default: null
      # Logits processor and guided decoding
      logits_processor:
        annotation: Optional[Union[tensorrt_llm.sampling_params.LogitsProcessor,
                             List[tensorrt_llm.sampling_params.LogitsProcessor]]]
        default: None
      apply_batched_logits_processor:
        annotation: bool
        default: false
      guided_decoding:
        annotation: Optional[tensorrt_llm.sampling_params.GuidedDecodingParams]
        default: null
      embedding_bias:
        annotation: Optional[torch.Tensor]
        default: null
      # Speculative decoding
      lookahead_config:
        annotation: Optional[tensorrt_llm.bindings.executor.LookaheadDecodingConfig]
        default: null
      # Tokenizer behavior
      ignore_eos:
        annotation: bool
        default: false
      detokenize:
        annotation: bool
        default: true
      add_special_tokens:
        annotation: bool
        default: true
      truncate_prompt_tokens:
        annotation: Optional[int]
        default: null
      skip_special_tokens:
        annotation: bool
        default: true
      spaces_between_special_tokens:
        annotation: bool
        default: true
      # Returning controls
      logprobs:
        annotation: Optional[int]
        default: None
      prompt_logprobs:
        annotation: Optional[int]
        default: None
      return_context_logits:
        annotation: bool
        default: false
      return_generation_logits:
        annotation: bool
        default: false
      exclude_input_from_output:
        annotation: bool
        default: true
      return_encoder_output:
        annotation: bool
        default: false
    return_annotation: None
properties: {}