# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.

# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Created on 2024-01-01
# Author: GuAn Zhu

name: "cif_search"
backend: "python"
max_batch_size: 128

sequence_batching{
    max_sequence_idle_microseconds: 15000000
    oldest {
      max_candidate_sequences: 1024
      preferred_batch_size: [32, 64, 128]
    }
    control_input [
        {
            name: "START",
            control [
                {
                    kind: CONTROL_SEQUENCE_START
                    fp32_false_true: [0, 1]
                }
            ]
        },
        {
            name: "READY"
            control [
                {
                    kind: CONTROL_SEQUENCE_READY
                    fp32_false_true: [0, 1]
                }
            ]
        },
        {
            name: "CORRID",
            control [
                {
                    kind: CONTROL_SEQUENCE_CORRID
                    data_type: TYPE_UINT64
                }
            ]
        },
        {
            name: "END",
            control [
                {
                    kind: CONTROL_SEQUENCE_END
                    fp32_false_true: [0, 1]
                }
            ]
        }
    ]
}


parameters [
  {
    key: "vocabulary",
    value: { string_value: "model_repo_paraformer_large_online/feature_extractor/config.yaml"}
  },
  { key: "FORCE_CPU_ONLY_INPUT_TENSORS"
    value: {string_value:"no"}
  }
]

input [
  {
    name: "enc"
    data_type: TYPE_FP32
    dims: [-1, 512]
  },
  {
    name: "enc_len"
    data_type: TYPE_INT32
    dims: [1]
    reshape: { shape: [ ] }
  },
  {
    name: 'alphas'
    data_type: TYPE_FP32
    dims: [-1]
  }
]

output [
  {
    name: "transcripts"
    data_type: TYPE_STRING
    dims: [1]
  }
]

instance_group [
    {
      count: 6
      kind: KIND_CPU
    }
  ]