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96 lines
2.4 KiB
96 lines
2.4 KiB
# Copyright (c) 2021 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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"""Contains common utility functions."""
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import math
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import os
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import random
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import sys
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from contextlib import contextmanager
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from pprint import pformat
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from typing import List
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import distutils.util
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import numpy as np
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import paddle
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import soundfile
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from paddlespeech.s2t.utils.log import Log
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logger = Log(__name__).getlog()
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__all__ = ["all_version", "UpdateConfig", "seed_all", "log_add"]
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def all_version():
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vers = {
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"python": sys.version,
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"paddle": paddle.__version__,
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"paddle_commit": paddle.version.commit,
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"soundfile": soundfile.__version__,
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}
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logger.info(f"Deps Module Version:{pformat(list(vers.items()))}")
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@contextmanager
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def UpdateConfig(config):
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"""Update yacs config"""
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config.defrost()
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yield
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config.freeze()
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def seed_all(seed: int=20210329):
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"""freeze random generator seed."""
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np.random.seed(seed)
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random.seed(seed)
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paddle.seed(seed)
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def log_add(args: List[int]) -> float:
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"""Stable log add
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Args:
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args (List[int]): log scores
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Returns:
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float: sum of log scores
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"""
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if all(a == -float('inf') for a in args):
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return -float('inf')
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a_max = max(args)
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lsp = math.log(sum(math.exp(a - a_max) for a in args))
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return a_max + lsp
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def get_subsample(config):
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"""Subsample rate from config.
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Args:
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config (yacs.config.CfgNode): yaml config
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Returns:
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int: subsample rate.
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"""
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if config['encoder'] == 'squeezeformer':
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return 4
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else:
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input_layer = config["encoder_conf"]["input_layer"]
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assert input_layer in ["conv2d", "conv2d6", "conv2d8"]
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if input_layer == "conv2d":
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return 4
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elif input_layer == "conv2d6":
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return 6
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elif input_layer == "conv2d8":
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return 8
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