You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
133 lines
4.0 KiB
133 lines
4.0 KiB
# 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
|