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一些防呆设计，增加对苹果M系列芯片支持 #14

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一些防呆设计，增加对苹果M系列芯片支持 #14

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94360a5
修改了--data-path为必须使用的参数,取消其默认设置,提示用户设置为自己 的dataset路径,修改了--model默认参数为cp…
whitewatercn Jun 10, 2024
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add support for apple sillicon
whitewatercn Jun 10, 2024
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8 changes: 5 additions & 3 deletions code/chapter-8/01_classification/train_main.py
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Expand Up @@ -28,10 +28,10 @@ def get_args_parser(add_help=True):

parser = argparse.ArgumentParser(description="PyTorch Classification Training", add_help=add_help)

parser.add_argument("--data-path", default=r"G:\deep_learning_data\chest_xray", type=str, help="dataset path")
parser.add_argument("--data-path", required = True, type=str, help="dataset path, like G:\deep_learning_data\chest_xray/train")
parser.add_argument("--model", default="convnext-tiny", type=str,
help="model name; resnet50/convnext/convnext-tiny")
parser.add_argument("--device", default="cuda", type=str, help="device (Use cuda or cpu Default: cuda)")
parser.add_argument("--device", default="cpu", type=str, help="device (Use cuda or cpu Default: cuda)")
parser.add_argument(
"-b", "--batch-size", default=8, type=int, help="images per gpu, the total batch size is $NGPU x batch_size"
)
Expand Down Expand Up @@ -216,5 +216,7 @@ def main(args):
if __name__ == "__main__":
args = get_args_parser().parse_args()
utils.setup_seed(args.random_seed)
args.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
device_choices = ["cuda", "mps", "cpu"]
device = torch.device(args.device) if args.device in device_choices else torch.device("cpu")
args.device = device
main(args)