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| import os | |
| import numpy as np | |
| import sys | |
| import json | |
| def read_text_lines(filepath): | |
| with open(filepath, 'r') as f: | |
| lines = f.readlines() | |
| lines = [l.rstrip() for l in lines] | |
| return lines | |
| def check_path(path): | |
| if not os.path.exists(path): | |
| os.makedirs(path, exist_ok=True) # explicitly set exist_ok when multi-processing | |
| def save_command(save_path, filename='command_train.txt'): | |
| check_path(save_path) | |
| command = sys.argv | |
| save_file = os.path.join(save_path, filename) | |
| # Save all training commands when resuming training | |
| with open(save_file, 'a') as f: | |
| f.write(' '.join(command)) | |
| f.write('\n\n') | |
| def save_args(args, filename='args.json'): | |
| args_dict = vars(args) | |
| check_path(args.checkpoint_dir) | |
| save_path = os.path.join(args.checkpoint_dir, filename) | |
| # Save all training args when resuming training | |
| with open(save_path, 'a') as f: | |
| json.dump(args_dict, f, indent=4, sort_keys=False) | |
| f.write('\n\n') | |
| def int_list(s): | |
| """Convert string to int list""" | |
| return [int(x) for x in s.split(',')] | |