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main.py
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63 lines (47 loc) · 2.07 KB
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# -*- coding: utf-8 -*-
"""
Created on Tue Jul 14 15:23:01 2020
@author: Joann
"""
import os
import argparse
from solver import Solver
#%%
def main(config):
# path for models
if not os.path.exists(config.model_save_path):
os.makedirs(config.model_save_path)
# import data loader
from loader import get_audio_loader
# get data loader
data_loader = get_audio_loader(config.data_path,
config.batch_size, # 16
input_length=config.input_length, # 80000
num_workers=config.num_workers) # 4
solver = Solver(data_loader, config)
print('Solver.train')
solver.train()
if __name__ == '__main__':
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# model hyper-parameters
parser.add_argument('--conv_channels', type=int, default=128)
parser.add_argument('--sample_rate', type=int, default=16000)
parser.add_argument('--n_fft', type=int, default=513)
parser.add_argument('--n_harmonic', type=int, default=6)
parser.add_argument('--semitone_scale', type=int, default=2)
parser.add_argument('--learn_bw', type=str, default='only_Q', choices=['only_Q', 'fix'])
# dataset
parser.add_argument('--input_length', type=int, default=48000)
parser.add_argument('--num_workers', type=int, default=4)
# training settings
parser.add_argument('--n_epochs', type=int, default=200)
parser.add_argument('--batch_size', type=int, default=16)
parser.add_argument('--lr', type=float, default=1e-4)
parser.add_argument('--use_tensorboard', type=int, default=1)
parser.add_argument('--model_save_path', type=str, default='./models_full')
parser.add_argument('--model_load_path', type=str, default='.')
parser.add_argument('--data_path', type=str, default='./Loop-Classifier/')
parser.add_argument('--log_step', type=int, default=20)
config = parser.parse_args()
print(config)
main(config)