when running " python run_training.py transt transt" An execution problem occurred

[qiqichen77]

Traceback (most recent call last):
File "D:\ADeepLearning\TransT-main\ltr\trainers\base_trainer.py", line 70, in train
self.train_epoch()
File "D:\ADeepLearning\TransT-main\ltr\trainers\ltr_trainer.py", line 79, in train_epoch
self.cycle_dataset(loader)
File "D:\ADeepLearning\TransT-main\ltr\trainers\ltr_trainer.py", line 60, in cycle_dataset
loss, stats = self.actor(data)
File "D:\ADeepLearning\TransT-main\ltr\actors\tracking.py", line 41, in call
loss_dict = self.objective(outputs, targets)
File "C:\Users\ASUS2\anaconda3\envs\transt\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\ADeepLearning\TransT-main\ltr\models\tracking\transt.py", line 204, in forward
losses.update(self.get_loss(loss, outputs, targets, indices, num_boxes_pos))
File "D:\ADeepLearning\TransT-main\ltr\models\tracking\transt.py", line 180, in get_loss
return loss_map[loss](outputs, targets, indices, num_boxes)
File "D:\ADeepLearning\TransT-main\ltr\models\tracking\transt.py", line 127, in loss_labels
target_classes[idx] = target_classes_o
RuntimeError: Index put requires the source and destination dtypes match, got Long for the destination and Int for the source.

[LinYang-mak]

Traceback for the error!
Traceback (most recent call last):
File "E:\YL\Algorithm_Code\TransT\TransT-main\ltr\trainers\base_trainer.py", line 70, in train
self.train_epoch()
File "E:\YL\Algorithm_Code\TransT\TransT-main\ltr\trainers\ltr_trainer.py", line 79, in train_epoch
self.cycle_dataset(loader)
File "E:\YL\Algorithm_Code\TransT\TransT-main\ltr\trainers\ltr_trainer.py", line 52, in cycle_dataset
for i, data in enumerate(loader, 1):
File "D:\SoftInstall\Anaconda\install\envs\transt\lib\site-packages\torch\utils\data\dataloader.py", line 530, in next
data = self._next_data()
File "D:\SoftInstall\Anaconda\install\envs\transt\lib\site-packages\torch\utils\data\dataloader.py", line 570, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "D:\SoftInstall\Anaconda\install\envs\transt\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\SoftInstall\Anaconda\install\envs\transt\lib\site-packages\torch\utils\data_utils\fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "E:\YL\Algorithm_Code\TransT\TransT-main\ltr\data\sampler.py", line 93, in getitem
dataset = random.choices(self.datasets, self.p_datasets)[0]
File "D:\SoftInstall\Anaconda\install\envs\transt\lib\random.py", line 361, in choices
raise ValueError('The number of weights does not match the population')
ValueError: The number of weights does not match the population

[MENGM0]

does

我修改成自己的数据集，也遇到相同的情况.

[JYing7]

Traceback (most recent call last): File "D:\ADeepLearning\TransT-main\ltr\trainers\base_trainer.py", line 70, in train self.train_epoch() File "D:\ADeepLearning\TransT-main\ltr\trainers\ltr_trainer.py", line 79, in train_epoch self.cycle_dataset(loader) File "D:\ADeepLearning\TransT-main\ltr\trainers\ltr_trainer.py", line 60, in cycle_dataset loss, stats = self.actor(data) File "D:\ADeepLearning\TransT-main\ltr\actors\tracking.py", line 41, in call loss_dict = self.objective(outputs, targets) File "C:\Users\ASUS2\anaconda3\envs\transt\lib\site-packages\torch\nn\modules\module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "D:\ADeepLearning\TransT-main\ltr\models\tracking\transt.py", line 204, in forward losses.update(self.get_loss(loss, outputs, targets, indices, num_boxes_pos)) File "D:\ADeepLearning\TransT-main\ltr\models\tracking\transt.py", line 180, in get_loss return loss_map[loss](outputs, targets, indices, num_boxes) File "D:\ADeepLearning\TransT-main\ltr\models\tracking\transt.py", line 127, in loss_labels target_classes[idx] = target_classes_o RuntimeError: Index put requires the source and destination dtypes match, got Long for the destination and Int for the source.

我也遇到了同意的问题，想问你解决了吗？