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name: "postprocessing"
backend: "python"
max_batch_size: 128
input [
  {
    name: "TOKENS_BATCH"
    data_type: TYPE_INT32
    dims: [ -1, -1 ]
  },
  {
    name: "SEQUENCE_LENGTH"
    data_type: TYPE_INT32
    dims: [ -1 ]
  },
  {
    name: "CUM_LOG_PROBS"
    data_type: TYPE_FP32
    dims: [ -1 ]
  },
  {
    name: "OUTPUT_LOG_PROBS"
    data_type: TYPE_FP32
    dims: [ -1, -1 ]
  }
]
output [
  {
    name: "OUTPUT"
    data_type: TYPE_STRING
    dims: [ -1 ]
  },
  {
    name: "OUT_CUM_LOG_PROBS"
    data_type: TYPE_FP32
    dims: [ -1 ]
  },
  {
    name: "OUT_OUTPUT_LOG_PROBS"
    data_type: TYPE_FP32
    dims: [ -1, -1 ]
  },
  {
    name: "OUTPUT_LENS"
    data_type: TYPE_INT32
    dims: [ -1 ]
  }
]

parameters {
  key: "tokenizer_dir"
  value: {
    string_value: "/data/llama/Llama-2-70b-chat-hf/"
  }
}

parameters {
  key: "tokenizer_type"
  value: {
    string_value: "llama"
  }
}

parameters {
  key: "skip_special_tokens"
  value: {
    string_value: "True"
  }
}

instance_group [
    {
        count: 4
        kind: KIND_CPU
    }
]