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PaddleSpeech/paddlespeech/cli/executor.py

82 lines
2.2 KiB

# Copyright (c) 2021 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 os
from abc import ABC
from abc import abstractmethod
from typing import List
from typing import Union
import paddle
class BaseExecutor(ABC):
"""
An abstract executor of paddlespeech tasks.
"""
def __init__(self):
self._inputs = dict()
self._outputs = dict()
@abstractmethod
def _get_pretrained_path(self, tag: str) -> os.PathLike:
"""
Download and returns pretrained resources path of current task.
"""
pass
@abstractmethod
def _init_from_path(self, *args, **kwargs):
"""
Init model and other resources from a specific path.
"""
pass
@abstractmethod
def preprocess(self, input: Union[str, os.PathLike]):
"""
Input preprocess and return paddle.Tensor stored in self.input.
Input content can be a text(tts), a file(asr, cls) or a streaming(not supported yet).
"""
pass
@paddle.no_grad()
@abstractmethod
def infer(self, device: str):
"""
Model inference and result stored in self.output.
"""
pass
@abstractmethod
def postprocess(self) -> Union[str, os.PathLike]:
"""
Output postprocess and return human-readable results such as texts and audio files.
"""
pass
@abstractmethod
def execute(self, argv: List[str]) -> bool:
"""
Command line entry.
"""
pass
@abstractmethod
def __call__(self, *arg, **kwargs):
"""
Python API to call an executor.
"""
pass