Delete configs

configs/__init__.py

@@ -1,18 +0,0 @@
-import re
-import yaml
-
-
-def load_yaml(path):
-    loader = yaml.SafeLoader
-    loader.add_implicit_resolver(
-        u'tag:yaml.org,2002:float',
-        re.compile(u'''^(?:
-         [-+]?(?:[0-9][0-9_]*)\\.[0-9_]*(?:[eE][-+]?[0-9]+)?
-        |[-+]?(?:[0-9][0-9_]*)(?:[eE][-+]?[0-9]+)
-        |\\.[0-9_]+(?:[eE][-+][0-9]+)?
-        |[-+]?[0-9][0-9_]*(?::[0-5]?[0-9])+\\.[0-9_]*
-        |[-+]?\\.(?:inf|Inf|INF)
-        |\\.(?:nan|NaN|NAN))$''', re.X),
-        list(u'-+0123456789.'))
-    with open(path, "r", encoding="utf-8") as file:
-        return yaml.load(file, Loader=loader)

configs/config.py

@@ -1,47 +0,0 @@
-# Copyright 2023 by zhongying
-#
-
-
-from . import load_yaml
-from util.utils import preprocess_paths
-
-
-class Config:
-    """ User configs class for training, testing or infering """
-
-    def __init__(self, path: str):
-        print('configs file path:', path)
-        config = load_yaml(preprocess_paths(path))
-        self.speech_config = config.get("speech_config", {})
-        self.model_config = config.get("model_config", {})
-        self.dataset_config = config.get("dataset_config", {})
-        self.optimizer_config = config.get("optimizer_config", {})
-        self.running_config = config.get("running_config", {})
-
-    def print(self):
-        print('==================================================')
-        print('speech configs:', self.speech_config)
-        print('--------------------------------------------------')
-        print('model configs:', self.model_config)
-        print('--------------------------------------------------')
-        print('dataset configs:', self.dataset_config)
-        print('--------------------------------------------------')
-        print('optimizer configs', self.optimizer_config)
-        print('--------------------------------------------------')
-        print('running configs:', self.running_config)
-        print('==================================================')
-
-    def toString(self):
-        string = ''
-        string += '#==================================================' + '\n'
-        string += '#speech config: ' + str(self.speech_config) + '\n'
-        string += '#--------------------------------------------------' + '\n'
-        string += '#model config: ' + str(self.model_config) + '\n'
-        string += '#--------------------------------------------------' + '\n'
-        string += '#dataset config: ' + str(self.dataset_config) + '\n'
-        string += '#--------------------------------------------------' + '\n'
-        string += '#optimizer config: ' + str(self.optimizer_config) + '\n'
-        string += '#--------------------------------------------------' + '\n'
-        string += '#running config: ' + str(self.running_config) + '\n'
-        string += '#==================================================' + '\n'
-        return string

configs/config.yml

@@ -1,49 +0,0 @@
-speech_config:
-  sample_rate: 16000
-  frame_ms: 25
-  stride_ms: 10
-  num_feature_bins: 80
-  feature_type: log_mel_spectrogram
-  preemphasis: 0.97
-  normalize_signal: True
-  normalize_feature: True
-  normalize_per_feature: False
-
-model_config:
-  name: acrnn
-  d_model: 64
-  filters: [32,64,64]
-  kernel_size: [[11,5],[11,5],[11,5]]
-  rnn_cell: 256
-  seq_mask: True
-
-dataset_config:
-  vocabulary: vocab/vocab.txt
-  data_path: ./data/wavs/
-  corpus_name: ./data/demo_txt/demo
-  file_nums: 1
-  max_audio_length: 2000
-  shuffle_size: 1200
-  data_length: None
-  suffix: .txt
-  load_type: txt
-  train: train
-  dev: dev
-  test: test
-
-optimizer_config:
-  init_steps: 0
-  warmup_steps: 10000
-  max_lr: 1e-4
-  beta1: 0.9
-  beta2: 0.999
-  epsilon: 1e-9
-
-running_config:
-  prefetch: False
-  load_weights: ./saved_weights/20230228-084356/last/model
-  num_epochs: 100
-  batch_size: 1
-  train_steps: 50
-  dev_steps: 10
-  test_steps: 10