andreac
commented
5 years ago I think the problem is about the configuration of pythorch e torchnet. I'm using Ubuntu 18.04 Cuda 9.2. I'm tring different setup. Now i've intalled pytorch 0.3 and torchnet with pip install torchnet.
I have the following error:
Traceback (most recent call last): File "learning/main.py", line 387, in <module> main() File "learning/main.py", line 286, in main acc, loss, oacc, avg_iou = train() File "learning/main.py", line 199, in train acc_meter.add(o_cpu, t_cpu) File "/home/spxstrix/DATI/ENEL/retineurali/superpoint/lib/python3.6/site-packages/torchnet/meter/classerrormeter.py", line 38, in add pred = torch.from_numpy(output).topk(maxk, 1, True, True)[1].numpy() RuntimeError: the given numpy array has zero-sized dimensions. Zero-sized dimensions are not supported in PyTorch
yaping222
loicland
Hi, I'm testing with s3dis dataset. When i run
for FOLD in 0 1 2 3 4; do \ CUDA_VISIBLE_DEVICES=0 python learning/main.py --dataset s3dis --S3DIS_PATH ./dataset --cvfold $FOLD --epochs 350 --lr_steps '[275,320]' \ --test_nth_epoch 50 --model_config 'gru_10_0,f_13' --ptn_nfeat_stn 14 --nworkers 2 --odir "results/dataset/best/cv${FOLD}"; \ doneit start running and after a bit i get this error:
Epoch 0/350 (results/dataset/best/cv4): 0%| | 0/20 [00:00<?, ?it/s]/home/spxstrix/DATI/ENEL/retineurali/superpoint_graph/learning/pointnet.py:131: UserWarning: volatile was removed and now has no effect. Usewith torch.no_grad():instead. out = model.ptn(Variable(clouds, volatile=True), Variable(clouds_global, volatile=True)) /home/spxstrix/miniconda3/lib/python3.7/site-packages/torch/nn/functional.py:1006: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") Warning: source/destination slices have same size but different shape for an index operation. This behavior is deprecated. learning/main.py:196: UserWarning: invalid index of a 0-dim tensor. This will be an error in PyTorch 0.5. Use tensor.item() to convert a 0-dim tensor to a Python number loss_meter.add(loss.data[0]) Exception ignored in: <function _DataLoaderIter.__del__ at 0x7f8896cfa620> Traceback (most recent call last): File "/home/spxstrix/miniconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 399, in __del__ self._shutdown_workers() File "/home/spxstrix/miniconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 378, in _shutdown_workers self.worker_result_queue.get() File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/queues.py", line 354, in get return _ForkingPickler.loads(res) File "/home/spxstrix/miniconda3/lib/python3.7/site-packages/torch/multiprocessing/reductions.py", line 151, in rebuild_storage_fd fd = df.detach() File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/resource_sharer.py", line 57, in detach with _resource_sharer.get_connection(self._id) as conn: File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/resource_sharer.py", line 87, in get_connection c = Client(address, authkey=process.current_process().authkey) File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/connection.py", line 498, in Client answer_challenge(c, authkey) File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/connection.py", line 746, in answer_challenge response = connection.recv_bytes(256) # reject large message File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/connection.py", line 216, in recv_bytes buf = self._recv_bytes(maxlength) File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/connection.py", line 407, in _recv_bytes buf = self._recv(4) File "/home/spxstrix/miniconda3/lib/python3.7/multiprocessing/connection.py", line 379, in _recv chunk = read(handle, remaining) ConnectionResetError: [Errno 104] Connection reset by peer Traceback (most recent call last): File "learning/main.py", line 387, in <module> main() File "learning/main.py", line 286, in main acc, loss, oacc, avg_iou = train() File "learning/main.py", line 199, in train acc_meter.add(o_cpu, t_cpu) File "/home/spxstrix/.local/lib/python3.7/site-packages/torchnet/meter/classerrormeter.py", line 38, in add pred = torch.from_numpy(output).topk(maxk, 1, True, True)[1].numpy() RuntimeError: Dimension out of range (expected to be in range of [-1, 0], but got 1)Previusly steps ends fine, could you help me?