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/home/nvidia/anaconda3/envs/pytorch-2/bin/python /home/nvidia/yuyi/BiSeNet-master/tools/train.py
/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/cuda/init.py:125: UserWarning:
GeForce RTX 2080 with CUDA capability sm_75 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 compute_37.
If you want to use the GeForce RTX 2080 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Traceback (most recent call last):
File "/home/nvidia/yuyi/BiSeNet-master/tools/train.py", line 225, in
main()
File "/home/nvidia/yuyi/BiSeNet-master/tools/train.py", line 221, in main
train()
File "/home/nvidia/yuyi/BiSeNet-master/tools/train.py", line 164, in train
for it, (im, lb) in enumerate(dl):
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in next
data = self._next_data()
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data
return self._process_data(data)
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data
data.reraise()
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop
data = fetcher.fetch(index)
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/nvidia/yuyi/BiSeNet-master/lib/base_dataset.py", line 48, in getitem
im_lb = self.trans_func(im_lb)
File "/home/nvidia/yuyi/BiSeNet-master/lib/base_dataset.py", line 71, in call
im_lb = self.trans_func(im_lb)
File "/home/nvidia/yuyi/BiSeNet-master/lib/transform_cv2.py", line 150, in call
im_lb = comp(im_lb)
File "/home/nvidia/yuyi/BiSeNet-master/lib/transform_cv2.py", line 42, in call
im = np.pad(im, ((pad_h, pad_h), (pad_w, pad_w), (0, 0)))
TypeError: pad() missing 1 required positional argument: 'mode'
help.... thanks a lot
The text was updated successfully, but these errors were encountered:
/home/nvidia/anaconda3/envs/pytorch-2/bin/python /home/nvidia/yuyi/BiSeNet-master/tools/train.py
/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/cuda/init.py:125: UserWarning:
GeForce RTX 2080 with CUDA capability sm_75 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 compute_37.
If you want to use the GeForce RTX 2080 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Traceback (most recent call last):
File "/home/nvidia/yuyi/BiSeNet-master/tools/train.py", line 225, in
main()
File "/home/nvidia/yuyi/BiSeNet-master/tools/train.py", line 221, in main
train()
File "/home/nvidia/yuyi/BiSeNet-master/tools/train.py", line 164, in train
for it, (im, lb) in enumerate(dl):
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 363, in next
data = self._next_data()
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 989, in _next_data
return self._process_data(data)
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1014, in _process_data
data.reraise()
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/_utils.py", line 395, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 185, in _worker_loop
data = fetcher.fetch(index)
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/nvidia/anaconda3/envs/pytorch-2/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/nvidia/yuyi/BiSeNet-master/lib/base_dataset.py", line 48, in getitem
im_lb = self.trans_func(im_lb)
File "/home/nvidia/yuyi/BiSeNet-master/lib/base_dataset.py", line 71, in call
im_lb = self.trans_func(im_lb)
File "/home/nvidia/yuyi/BiSeNet-master/lib/transform_cv2.py", line 150, in call
im_lb = comp(im_lb)
File "/home/nvidia/yuyi/BiSeNet-master/lib/transform_cv2.py", line 42, in call
im = np.pad(im, ((pad_h, pad_h), (pad_w, pad_w), (0, 0)))
TypeError: pad() missing 1 required positional argument: 'mode'
help.... thanks a lot
The text was updated successfully, but these errors were encountered: