ensemble/config.pbtxt

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name: "ensemble"
platform: "ensemble"
max_batch_size: 128
input [
  {
    name: "text_input"
    data_type: TYPE_STRING
    dims: [ -1 ]
  },
  {
    name: "max_tokens"
    data_type: TYPE_UINT32
    dims: [ -1 ]
  },
  {
   name: "bad_words"
   data_type: TYPE_STRING
   dims: [ -1 ]
  },
  {
   name: "stop_words"
   data_type: TYPE_STRING
   dims: [ -1 ]
  },
  {
    name: "end_id"
    data_type: TYPE_UINT32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "pad_id"
    data_type: TYPE_UINT32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "top_k"
    data_type: TYPE_UINT32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "top_p"
    data_type: TYPE_FP32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "temperature"
    data_type: TYPE_FP32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "length_penalty"
    data_type: TYPE_FP32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "repetition_penalty"
    data_type: TYPE_FP32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "min_length"
    data_type: TYPE_UINT32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "presence_penalty"
    data_type: TYPE_FP32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "random_seed"
    data_type: TYPE_UINT64
    dims: [ 1 ]
    optional: true
  },
  {
    name: "beam_width"
    data_type: TYPE_UINT32
    dims: [ 1 ]
    optional: true
  },
  {
    name: "stream"
    data_type: TYPE_BOOL
    dims: [ 1 ]
    optional: true
  }
]
output [
  {
    name: "text_output"
    data_type: TYPE_STRING
    dims: [ -1, -1 ]
  },
  {
    name: "output_tokens"
    data_type: TYPE_UINT32
    dims: [ -1 ]
  }
]
ensemble_scheduling {
  step [
    {
      model_name: "preprocessing"
      model_version: -1
      input_map {
        key: "QUERY"
        value: "text_input"
      }
      input_map {
        key: "REQUEST_OUTPUT_LEN"
        value: "max_tokens"
      }
      input_map {
        key: "BAD_WORDS_DICT"
        value: "bad_words"
      }
      input_map {
        key: "STOP_WORDS_DICT"
        value: "stop_words"
      }
      output_map {
        key: "REQUEST_INPUT_LEN"
        value: "_REQUEST_INPUT_LEN"
      }
      output_map {
        key: "INPUT_ID"
        value: "_INPUT_ID"
      }
      output_map {
        key: "REQUEST_OUTPUT_LEN"
        value: "_REQUEST_OUTPUT_LEN"
      }
    },
    {
      model_name: "tensorrt_llm"
      model_version: -1
      input_map {
        key: "input_ids"
        value: "_INPUT_ID"
      }
      input_map {
        key: "input_lengths"
        value: "_REQUEST_INPUT_LEN"
      }
      input_map {
        key: "request_output_len"
        value: "_REQUEST_OUTPUT_LEN"
      }
      input_map {
          key: "end_id"
          value: "end_id"
      }
      input_map {
          key: "pad_id"
          value: "pad_id"
      }
      input_map {
          key: "runtime_top_k"
          value: "top_k"
      }
      input_map {
          key: "runtime_top_p"
          value: "top_p"
      }
      input_map {
          key: "temperature"
          value: "temperature"
      }
      input_map {
          key: "len_penalty"
          value: "length_penalty"
      }
      input_map {
          key: "repetition_penalty"
          value: "repetition_penalty"
      }
      input_map {
          key: "min_length"
          value: "min_length"
      }
      input_map {
          key: "presence_penalty"
          value: "presence_penalty"
      }
      input_map {
          key: "random_seed"
          value: "random_seed"
      }
      input_map {
          key: "beam_width"
          value: "beam_width"
      }
      input_map {
          key: "streaming"
          value: "stream"
      }
      output_map {
        key: "output_ids"
        value: "_TOKENS_BATCH"
      }
    },
    {
      model_name: "postprocessing"
      model_version: -1
      input_map {
        key: "TOKENS_BATCH"
        value: "_TOKENS_BATCH"
      }
      output_map {
        key: "OUTPUT"
        value: "text_output"
      }
      output_map {
        key: "OUTPUT_LENS"
        value: "output_tokens"
      }
    }
  ]
}