BUG in `RandCropBoxByPosNegLabeld`

[alibool]

from monai.apps.detection.transforms.dictionary import RandCropBoxByPosNegLabeld
import torch

tt = RandCropBoxByPosNegLabeld(image_keys=["image"],
                               box_keys="box",
                               label_keys="label",
                               spatial_size=[128, 128, -1],
                               whole_box=True,
                               num_samples=1,
                               pos=1,
                               neg=0)
iii = {"image": torch.rand(1, 128, 128, 128),
       "box": torch.tensor(((1., 2., 3., 4., 5., 6.),)),
       "label": torch.tensor((1,)).long()}
tt(iii)

[wyli]

thanks for reporting, currently negative values in the size will be interpreted as a data-dependent value cc @Can-Zhao

MONAI/monai/transforms/croppad/array.py

Lines 210 to 212 in 4071750

	If its components have non-positive values, the corresponding size of input image will be used
	(no padding). for example: if the spatial size of input data is [30, 30, 30] and
	`spatial_size=[32, 25, -1]`, the spatial size of output data will be [32, 30, 30].