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64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
"""
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/* Copyright (c) 2023 Amazon
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Written by Jan Buethe */
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/*
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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- Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
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OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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"""
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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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