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133 lines
4.0 KiB
133 lines
4.0 KiB
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import io
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import time
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from collections import OrderedDict
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import paddle
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from paddlespeech.cli.cls.infer import CLSExecutor
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from paddlespeech.cli.log import logger
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from paddlespeech.server.engine.base_engine import BaseEngine
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__all__ = ['CLSEngine', 'PaddleCLSConnectionHandler']
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class CLSServerExecutor(CLSExecutor):
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def __init__(self):
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super().__init__()
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pass
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class CLSEngine(BaseEngine):
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"""CLS server engine
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Args:
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metaclass: Defaults to Singleton.
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"""
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def __init__(self):
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super(CLSEngine, self).__init__()
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def init(self, config: dict) -> bool:
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"""init engine resource
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Args:
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config_file (str): config file
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Returns:
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bool: init failed or success
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"""
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self.executor = CLSServerExecutor()
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self.config = config
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self.engine_type = "python"
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try:
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if self.config.device is not None:
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self.device = self.config.device
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else:
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self.device = paddle.get_device()
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paddle.set_device(self.device)
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except Exception as e:
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logger.error(
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"Set device failed, please check if device is already used and the parameter 'device' in the yaml file"
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)
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logger.error(e)
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return False
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try:
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self.executor._init_from_path(
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self.config.model, self.config.cfg_path, self.config.ckpt_path,
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self.config.label_file)
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except Exception as e:
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logger.error("Initialize CLS server engine Failed.")
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logger.error(e)
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return False
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logger.info("Initialize CLS server engine successfully on device: %s." %
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(self.device))
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return True
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class PaddleCLSConnectionHandler(CLSServerExecutor):
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def __init__(self, cls_engine):
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"""The PaddleSpeech CLS Server Connection Handler
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This connection process every cls server request
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Args:
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cls_engine (CLSEngine): The CLS engine
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"""
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super().__init__()
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logger.debug(
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"Create PaddleCLSConnectionHandler to process the cls request")
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self._inputs = OrderedDict()
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self._outputs = OrderedDict()
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self.cls_engine = cls_engine
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self.executor = self.cls_engine.executor
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self._conf = self.executor._conf
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self._label_list = self.executor._label_list
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self.model = self.executor.model
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def run(self, audio_data):
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"""engine run
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Args:
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audio_data (bytes): base64.b64decode
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"""
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self.preprocess(io.BytesIO(audio_data))
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st = time.time()
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self.infer()
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infer_time = time.time() - st
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logger.debug("inference time: {}".format(infer_time))
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logger.info("cls engine type: python")
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def postprocess(self, topk: int):
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"""postprocess
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"""
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assert topk <= len(
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self._label_list), 'Value of topk is larger than number of labels.'
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result = self._outputs['logits'].squeeze(0).numpy()
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topk_idx = (-result).argsort()[:topk]
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topk_results = []
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for idx in topk_idx:
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res = {}
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label, score = self._label_list[idx], result[idx]
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res['class_name'] = label
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res['prob'] = score
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topk_results.append(res)
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return topk_results
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