Execution Error

[AasiaRehman]

May I know what is this error about

0% 0/4165 [00:00<?, ?it/s] train_iter 4165 0% 0/4165 [00:00<?, ?it/s] (#26453082) Training [lr=[3.e-05]]: 0% 0/50 [00:00<?, ?it/s] Setup Iteration... : 0% 0/1 [00:05<?, ?it/s] Traceback (most recent call last): File "/content/drive/MyDrive/My Drive/Tversky Loss/Train_Networks/Train_Networks.py", line 235, in main(training_setup) File "/content/drive/MyDrive/My Drive/Tversky Loss/Train_Networks/Train_Networks.py", line 137, in main flib.trainer([network,optimizer], train_data_loader, [base_loss_func, aux_loss_func], opt, Metrics, epoch) File "/content/drive/MyDrive/My Drive/Tversky Loss/Train_Networks/Function_Library.py", line 36, in trainer for slice_idx, file_dict in enumerate(train_data_iter): File "/usr/local/lib/python3.7/dist-packages/tqdm/std.py", line 1180, in iter for obj in iterable: File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 521, in next data = self._next_data() File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1203, in _next_data return self._process_data(data) File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 1229, in _process_data data.reraise() File "/usr/local/lib/python3.7/dist-packages/torch/_utils.py", line 434, in reraise raise exception ValueError: Caught ValueError in DataLoader worker process 0. Original Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/content/drive/MyDrive/My Drive/Tversky Loss/Utilities/PyTorch_Datasets.py", line 161, in getitem crops_for_picked_batch = gu.get_crops_per_batch(files_to_crop, crop_mask, crop_size=self.pars.Training['crop_size'], seed=self.rng.randint(0,1e8)) File "/content/drive/MyDrive/My Drive/Tversky Loss/Utilities/General_Utilities.py", line 307, in get_crops_per_batch crop_idx = [rng.randint(crop_size[i]//2-1,np.array(batch_to_crop[0].shape[i+1])-crop_size[i]//2-1) for i in range(batch_to_crop[0].ndim-1)] File "/content/drive/MyDrive/My Drive/Tversky Loss/Utilities/General_Utilities.py", line 307, in crop_idx = [rng.randint(crop_size[i]//2-1,np.array(batch_to_crop[0].shape[i+1])-crop_size[i]//2-1) for i in range(batch_to_crop[0].ndim-1)] File "mtrand.pyx", line 746, in numpy.random.mtrand.RandomState.randint File "_bounded_integers.pyx", line 1254, in numpy.random._bounded_integers._rand_int64 ValueError: low >= high

[U-C-J]

It happens in cropping.

e.g. randint(127,127) gives you this error because the high value should be larger than 127.

Adjust the input size and the crop size to avoid this error.