Error while running PGD for Object Detection

[manishgoyal1590]

I'm trying to perform PGD attack on YOLOv3 model pretrained on PASCAL VOC dataset. As soon as i pass image and label to perturb function, I get an error AttributeError: 'tuple' object has no attribute 'size'. Now, I pass the target and labels as tensor so I'm not sure why are they being converted back to tuples. Here is code that i'm executing and attached is the error:

from advertorch.attacks import LinfPGDAttack
import torch.nn as nn
import numpy as np

use_cuda = torch.cuda.is_available()
device = torch.device("cuda" if use_cuda else "cpu")

print(use_cuda)

model.to(device)
torch.cuda.empty_cache();

model = model.eval()

x = torch.from_numpy(train_image[0].asnumpy())

y = torch.from_numpy(class_ids[0])

x = torch.Tensor(batch[0][0].asnumpy())
y = torch.Tensor(batch[6][0].asnumpy())

y = batch[6][0]

print(type(x))

print("x = ",batch[0][0])

print(type(y))

print("y = ",batch[6][0])

adversary = LinfPGDAttack(
model, loss_fn=nn.BCEWithLogitsLoss(reduction="none"), eps=0.3,
nb_iter=40, eps_iter=0.01, rand_init=False, clip_min=0.0, clip_max=1.0,
targeted=False)
#nn.CrossEntropyLoss(reduction="sum")

x = torch.unsqueeze(x,0)

adv_untargeted = adversary.perturb(x, y)

[manishgoyal1590]

Also attaching the current image and target passed to the perturb function.