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32
GPT_SoVITS/AR/utils/io.py
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32
GPT_SoVITS/AR/utils/io.py
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import sys
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import torch
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import yaml
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def load_yaml_config(path):
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with open(path) as f:
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config = yaml.full_load(f)
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return config
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def save_config_to_yaml(config, path):
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assert path.endswith('.yaml')
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with open(path, 'w') as f:
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f.write(yaml.dump(config))
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f.close()
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def write_args(args, path):
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args_dict = dict((name, getattr(args, name)) for name in dir(args)
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if not name.startswith('_'))
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with open(path, 'a') as args_file:
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args_file.write('==> torch version: {}\n'.format(torch.__version__))
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args_file.write(
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'==> cudnn version: {}\n'.format(torch.backends.cudnn.version()))
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args_file.write('==> Cmd:\n')
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args_file.write(str(sys.argv))
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args_file.write('\n==> args:\n')
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for k, v in sorted(args_dict.items()):
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args_file.write(' %s: %s\n' % (str(k), str(v)))
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args_file.close()
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