def parse()

in activemri/experimental/cvpr19_models/options/base_options.py [0:0]

• 18 lines of code
• 6 McCabe index (conditional complexity)

    def parse(self, silent=True):

        opt = self.gather_options()

        # set gpu ids
        str_ids = opt.gpu_ids.split(",")
        opt.gpu_ids = []
        # for str_id in str_ids:
        for str_id in range(len(str_ids)):
            id = int(str_id)
            if id >= 0:
                opt.gpu_ids.append(id)
        if len(opt.gpu_ids) > 0:
            torch.cuda.set_device(opt.gpu_ids[0])
            opt.batchSize *= len(opt.gpu_ids)
            print(
                f"Use multiple GPUs, batchSize are increased by {len(opt.gpu_ids)} "
                f"times to {opt.batchSize}"
            )

        if not silent:
            self.print_options(opt)

        return opt