Spacingd makes label and image shape mismatch

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load_transforms = monai.transforms.Compose([
monai.transforms.LoadImaged(keys=["image", "label_path"]),
monai.transforms.AddChanneld(keys=["image", "label_path"]),
monai.transforms.Orientationd(keys=["image", "label_path"], axcodes="RAS"),

    ])

and out put is untransformed is (1, 512, 512, 254),(1, 512, 512, 254)

while:
spacing_transforms = monai.transforms.Compose([
monai.transforms.LoadImaged(keys=["image", "label_path"]),
monai.transforms.AddChanneld(keys=["image", "label_path"]),
monai.transforms.Orientationd(keys=["image", "label_path"], axcodes="RAS"),
monai.transforms.Spacingd(keys=["image", "label_path"],
pixdim=(args.space_x, args.space_y, args.space_z),
mode=("bilinear", "nearest")),

    ])

and output is transformed is (1, 326, 326, 423),(1, 342, 342, 170)
and my version is monai 1.1.0,there is a warning——pixdim[0] (qfac) should be 1 (default) or -1; setting qfac to

No repository files or tests are identified. Start by reproducing the LoadImaged, AddChanneld, Orientationd, and Spacingd pipeline shown with MONAI 1.1.0, then inspect the image and label metadata and resulting shapes; done requires a clarified expected shape relationship or a reproducible defect with a proposed test case.