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35 lines
995 B
Python
35 lines
995 B
Python
import argparse
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import yaml
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from models import model_dict
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debug = False
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if debug:
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args = type('dummy', (object,),
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{
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'setup' : 'setups/lpcnet_m/setup_1_4_concatenative.yml',
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'hierarchical_sampling' : False
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})()
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else:
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parser = argparse.ArgumentParser()
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parser.add_argument('setup', type=str, help='setup yaml file')
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parser.add_argument('--hierarchical-sampling', action="store_true", help='whether to assume hierarchical sampling (default=False)', default=False)
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args = parser.parse_args()
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with open(args.setup, 'r') as f:
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setup = yaml.load(f.read(), yaml.FullLoader)
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# check model
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if not 'model' in setup['lpcnet']:
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print(f'warning: did not find model entry in setup, using default lpcnet')
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model_name = 'lpcnet'
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else:
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model_name = setup['lpcnet']['model']
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# create model
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model = model_dict[model_name](setup['lpcnet']['config'])
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gflops = model.get_gflops(16000, verbose=True, hierarchical_sampling=args.hierarchical_sampling)
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