def parse()

in options/base_options.py [0:0]

• 29 lines of code
• 1 McCabe index (conditional complexity)

	def parse(self):
		if not self.initialized:
			self.initialize()
		self.opt = self.parser.parse_args()

		self.opt.mode = self.mode
		self.opt.isTrain = self.isTrain
		self.opt.enable_data_augmentation = self.enable_data_augmentation

		str_ids = self.opt.gpu_ids.split(',')
		self.opt.gpu_ids = []
		for str_id in str_ids:
			id = int(str_id)
			if id >= 0:
				self.opt.gpu_ids.append(id)

		# set gpu ids
		if len(self.opt.gpu_ids) > 0:
			torch.cuda.set_device(self.opt.gpu_ids[0])


		#I should process the opt here, like gpu ids, etc.
		args = vars(self.opt)
		print('------------ Options -------------')
		for k, v in sorted(args.items()):
			print('%s: %s' % (str(k), str(v)))
		print('-------------- End ----------------')


		# save to the disk
		expr_dir = os.path.join(self.opt.checkpoints_dir, self.opt.name)
		util.mkdirs(expr_dir)
		file_name = os.path.join(expr_dir, 'opt.txt')
		with open(file_name, 'wt') as opt_file:
			opt_file.write('------------ Options -------------\n')
			for k, v in sorted(args.items()):
				opt_file.write('%s: %s\n' % (str(k), str(v)))
			opt_file.write('-------------- End ----------------\n')
		return self.opt