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PaddleSpeech/paddlespeech/server/engine/cls/python/cls_engine.py

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# Copyright (c) 2022 PaddlePaddle Authors. 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.
import io
import time
from collections import OrderedDict
import paddle
from paddlespeech.cli.cls.infer import CLSExecutor
from paddlespeech.cli.log import logger
from paddlespeech.server.engine.base_engine import BaseEngine
__all__ = ['CLSEngine', 'PaddleCLSConnectionHandler']
class CLSServerExecutor(CLSExecutor):
def __init__(self):
super().__init__()
pass
class CLSEngine(BaseEngine):
"""CLS server engine
Args:
metaclass: Defaults to Singleton.
"""
def __init__(self):
super(CLSEngine, self).__init__()
def init(self, config: dict) -> bool:
"""init engine resource
Args:
config_file (str): config file
Returns:
bool: init failed or success
"""
self.executor = CLSServerExecutor()
self.config = config
self.engine_type = "python"
try:
if self.config.device is not None:
self.device = self.config.device
else:
self.device = paddle.get_device()
paddle.set_device(self.device)
except Exception as e:
logger.error(
"Set device failed, please check if device is already used and the parameter 'device' in the yaml file"
)
logger.error(e)
return False
try:
self.executor._init_from_path(
self.config.model, self.config.cfg_path, self.config.ckpt_path,
self.config.label_file)
except Exception as e:
logger.error("Initialize CLS server engine Failed.")
logger.error(e)
return False
logger.info("Initialize CLS server engine successfully on device: %s." %
(self.device))
return True
class PaddleCLSConnectionHandler(CLSServerExecutor):
def __init__(self, cls_engine):
"""The PaddleSpeech CLS Server Connection Handler
This connection process every cls server request
Args:
cls_engine (CLSEngine): The CLS engine
"""
super().__init__()
logger.info(
"Create PaddleCLSConnectionHandler to process the cls request")
self._inputs = OrderedDict()
self._outputs = OrderedDict()
self.cls_engine = cls_engine
self.executor = self.cls_engine.executor
self._conf = self.executor._conf
self._label_list = self.executor._label_list
self.model = self.executor.model
def run(self, audio_data):
"""engine run
Args:
audio_data (bytes): base64.b64decode
"""
self.preprocess(io.BytesIO(audio_data))
st = time.time()
self.infer()
infer_time = time.time() - st
logger.info("inference time: {}".format(infer_time))
logger.info("cls engine type: python")
def postprocess(self, topk: int):
"""postprocess
"""
assert topk <= len(
self._label_list), 'Value of topk is larger than number of labels.'
result = self._outputs['logits'].squeeze(0).numpy()
topk_idx = (-result).argsort()[:topk]
topk_results = []
for idx in topk_idx:
res = {}
label, score = self._label_list[idx], result[idx]
res['class_name'] = label
res['prob'] = score
topk_results.append(res)
return topk_results