preprocessing/config.pbtxt

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name: "preprocessing"
backend: "python"
max_batch_size: 128
input [
    {
        name: "QUERY"
        data_type: TYPE_STRING
        dims: [ -1 ]
    },
    {
        name: "REQUEST_OUTPUT_LEN"
        data_type: TYPE_INT32
        dims: [ -1 ]
    },
    {
        name: "BAD_WORDS_DICT"
        data_type: TYPE_STRING
        dims: [ -1 ]
        optional: true
    },
    {
        name: "STOP_WORDS_DICT"
        data_type: TYPE_STRING
        dims: [ -1 ]
        optional: true
    },
    {
        name: "EMBEDDING_BIAS_WORDS"
        data_type: TYPE_STRING
        dims: [ -1 ]
        optional: true
    },
    {
        name: "EMBEDDING_BIAS_WEIGHTS"
        data_type: TYPE_FP32
        dims: [ -1 ]
        optional: true
    }
]
output [
    {
        name: "INPUT_ID"
        data_type: TYPE_INT32
        dims: [ -1 ]
    },
    {
        name: "REQUEST_INPUT_LEN"
        data_type: TYPE_INT32
        dims: [ 1 ]
    },
    {
        name: "BAD_WORDS_IDS"
        data_type: TYPE_INT32
        dims: [ 2, -1 ]
    },
    {
        name: "STOP_WORDS_IDS"
        data_type: TYPE_INT32
        dims: [ 2, -1 ]
    },
    {
        name: "EMBEDDING_BIAS"
        data_type: TYPE_FP32
        dims: [ -1 ]
    },
    {
        name: "REQUEST_OUTPUT_LEN"
        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: "add_special_tokens"
  value: {
    string_value: "False"
  }
}

instance_group [
    {
        count: 4
        kind: KIND_CPU
    }
]