def __run_program(configuration_line):
""" Run DeepSpeech - save log file. """
configuration_file_path, *parameters = configuration_line.split('|')
configuration = Configuration(configuration_file_path)
__update_parameters(configuration, parameters)
__create_experiment_dir(configuration)
deepspeech_output = os.path.join(configuration.exp_dir, 'program.out')
with open(deepspeech_output, 'w') as f:
with redirect_stdout(f):
ds = DeepSpeech(configuration)
ds.train()
ds.save()
import argparse
import os
from source.deepspeech import DeepSpeech
from source.configuration import Configuration
abspath = os.path.abspath(__file__)
ROOT_DIR = os.path.dirname(abspath)
os.chdir(ROOT_DIR)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--configuration', help='Experiment configuration')
args = parser.parse_args()
# Read configuration file
config = Configuration(file_path=args.configuration)
# Set up DeepSpeech object
ds = DeepSpeech(config)
# Model optimization
ds.train()
# Save whole deepspeech model
ds.save()