raise ValueError("empty range for randrange() (%d,%d, %d)" % (istart, istop, width))

[Tylerjoe]

I met a problem in transform.py,could you please give me some advices. Thanks!

Traceback (most recent call last):
File "train.py", line 275, in
main()
File "train.py", line 104, in main
train(train_loader, model, criterion, optimizer, epoch, cur_lr)
File "train.py", line 134, in train
for i, (input, target) in enumerate(train_loader):
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 322, in next
return self._process_next_batch(batch)
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
ValueError: Traceback (most recent call last):
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 106, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/data/code/project/pytorch-coviar/dataset.py", line 160, in getitem
frames = self._transform(frames)
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 49, in call
img = t(img)
File "/data/code/project/pytorch-coviar/transforms.py", line 124, in call
crop_w, crop_h, offset_w, offset_h = self._sample_crop_size(im_size)
File "/data/code/project/pytorch-coviar/transforms.py", line 153, in _sample_crop_size
w_offset = random.randint(0, image_w - crop_pair[0])
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/random.py", line 221, in randint
return self.randrange(a, b+1)
File "/root/anaconda3/envs/caffe-tf/lib/python3.6/random.py", line 199, in randrange
raise ValueError("empty range for randrange() (%d,%d, %d)" % (istart, istop, width))
ValueError: empty range for randrange() (0,-1, -1)

terminate called after throwing an instance of 'at::Error'
what(): CUDA error (29): driver shutting down (check_status at /pytorch/aten/src/ATen/cuda/detail/CUDAHooks.cpp:36)
frame #0: at::detail::CUDAStream_free(CUDAStreamInternals*&) + 0x50 (0x7fe59246aa50 in /root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/lib/libcaffe2.so)
frame #1: THCStream_free + 0x13 (0x7fe56f4d0953 in /root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/lib/libcaffe2_gpu.so)
frame #2: std::_Rb_tree<std::shared_ptr, std::shared_ptr, std::_Identity<std::shared_ptr >, std::less<std::shared_ptr >, std::allocator<std::shared_ptr > >::_M_erase(std::_Rb_tree_node<std::shared_ptr >*) + 0x8e (0x7fe56f4c1fbe in /root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/lib/libcaffe2_gpu.so)
frame #3: + 0xd1ca71 (0x7fe56f4c5a71 in /root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/lib/libcaffe2_gpu.so)
frame #4: + 0xd1caa0 (0x7fe56f4c5aa0 in /root/anaconda3/envs/caffe-tf/lib/python3.6/site-packages/torch/lib/libcaffe2_gpu.so)
frame #5: + 0x38e69 (0x7fe5b237ae69 in /lib64/libc.so.6)
frame #6: + 0x38eb5 (0x7fe5b237aeb5 in /lib64/libc.so.6)
frame #7: __libc_start_main + 0xfc (0x7fe5b2363b1c in /lib64/libc.so.6)

[Tylerjoe]

is there some thing wrong in transform.py .
in the funtion of _sample_crop_size, the crop size is larger than image size.
should we change ：
crop_sizes = [int(base_size * x) for x in self.scales]
crop_h = [self.input_size[1] if abs(x - self.input_size[1]) < 3 else x for x in crop_sizes]
crop_w = [self.input_size[0] if abs(x - self.input_size[0]) < 3 else x for x in crop_sizes]

[yunfanLu]

I meet the same problem.

[chaoyuaw]

Yes, I think if your image is smaller than the crop size, then you might want to change it. Are you using UCF101 and HMDB prepared by "getting_started.md", or other datasets? If it's the former, there could be something wrong in the data preparation step, since reencode.sh should resize all videos to 340x256, and this shouldn't happen.

[lmnhsp]

have you solve this problem now ? i have the same problem with you，I've already resize all videos to 340*256 by using reencode.sh,

[lmnhsp]

i'm looking forward to your reply

[wujunyi627]

maybe you use "transforms.Resize(a,b)and transforms.RandomCrop(c,d) ",but a<c or b<d.

[Tylerjoe]

i'm looking forward to your reply

this is the problem of the frame size, you should resize you image, or you should change like this:
crop_sizes = [int(base_size * x) for x in self.scales]
crop_h = [self.input_size[1] if abs(x - self.input_size[1]) < 3 else x for x in crop_sizes]
crop_w = [self.input_size[0] if abs(x - self.input_size[0]) < 3 else x for x in crop_sizes]