9766d2c13ddca10d5e45280450ee9cab649afb18,eval_pt.py,,main,#,140

Before Change

        use_cuda=use_cuda,
        remove_module=args.remove_module)
    if hasattr(net, "module"):
        input_image_size = net.module.in_size[0] if hasattr(net.module, "in_size") else args.input_size
    else:
        input_image_size = net.in_size[0] if hasattr(net, "in_size") else args.input_size

After Change

        log_packages=args.log_packages,
        log_pip_packages=args.log_pip_packages)

    ds_metainfo = get_dataset_metainfo(dataset_name=args.dataset)
    ds_metainfo.update(args=args)
    assert (ds_metainfo.ml_type != "imgseg") or (args.batch_size == 1)
    assert (ds_metainfo.ml_type != "imgseg") or args.disable_cudnn_autotune

    use_cuda, batch_size = prepare_pt_context(
        num_gpus=args.num_gpus,
        batch_size=args.batch_size)

    net = prepare_model(
        model_name=args.model,
        use_pretrained=args.use_pretrained,
        pretrained_model_file_path=args.resume.strip(),
        use_cuda=use_cuda,
        net_extra_kwargs=ds_metainfo.net_extra_kwargs,
        load_ignore_extra=ds_metainfo.load_ignore_extra,
        num_classes=args.num_classes,
        in_channels=args.in_channels,
        remove_module=args.remove_module)
    real_net = net.module if hasattr(net, "module") else net
    input_image_size = real_net.in_size[0] if hasattr(real_net, "in_size") else args.input_size

    if args.data_subset == "val":
        test_data = get_val_data_source(
            ds_metainfo=ds_metainfo,
            batch_size=batch_size,
            num_workers=args.num_workers)
        test_metric = get_composite_metric(
            metric_names=ds_metainfo.val_metric_names,
            metric_extra_kwargs=ds_metainfo.val_metric_extra_kwargs)
    else:
        test_data = get_test_data_source(
            ds_metainfo=ds_metainfo,
            batch_size=batch_size,
            num_workers=args.num_workers)
        test_metric = get_composite_metric(
            metric_names=ds_metainfo.test_metric_names,
            metric_extra_kwargs=ds_metainfo.test_metric_extra_kwargs)

    if args.show_progress:
        from tqdm import tqdm
        test_data = tqdm(test_data)

Instances