Comments (9)
hani1994a
commented on May 16, 2024
1
I solved this problem with reduce number of samples in option.py file
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shunsukesaito
commented on May 16, 2024
If you use num_workers=0, you should be able to see where this error occurs.
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alitokur
commented on May 16, 2024
I set it to 0 but have still a error, Sir.
(tokurEnv) hamit@hamit-MS-7B49:~/Softwares/environments/PIFu$ python -m apps.train_shape --dataroot /home/hamit/Softwares/environments/PIFu/tempImages --random_flip --random_scale --random_trans
/home/hamit/Softwares/environments/PIFu/lib/data/TrainDataset.py:102: UserWarning: loadtxt: Empty input file: "/home/hamit/Softwares/environments/PIFu/tempImages/val.txt"
var_subjects = np.loadtxt(os.path.join(self.root, 'val.txt'), dtype=str)
train data size: 180
test data size: 360
initialize network with normal
Using Network: hgpifu
Killed
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alitokur
commented on May 16, 2024
I've tried again and
error:
python -m apps.train_shape --dataroot /home/hamit/Softwares/environments/PIFu/tempImages --random_flip --random_scale --random_trans --num_threads=0
/home/hamit/Softwares/environments/PIFu/lib/data/TrainDataset.py:102: UserWarning: loadtxt: Empty input file: "/home/hamit/Softwares/environments/PIFu/tempImages/val.txt"
var_subjects = np.loadtxt(os.path.join(self.root, 'val.txt'), dtype=str)
train data size: 180
test data size: 360
initialize network with normal
Using Network: hgpifu
Traceback (most recent call last):
File "/home/hamit/anaconda3/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/home/hamit/anaconda3/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/hamit/Softwares/environments/PIFu/apps/train_shape.py", line 183, in <module>
train(opt)
File "/home/hamit/Softwares/environments/PIFu/apps/train_shape.py", line 105, in train
res, error = netG.forward(image_tensor, sample_tensor, calib_tensor, labels=label_tensor)
File "/home/hamit/Softwares/environments/PIFu/lib/model/HGPIFuNet.py", line 131, in forward
self.filter(images)
File "/home/hamit/Softwares/environments/PIFu/lib/model/HGPIFuNet.py", line 63, in filter
self.im_feat_list, self.tmpx, self.normx = self.image_filter(images)
File "/home/hamit/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
result = self.forward(*input, **kwargs)
File "/home/hamit/Softwares/environments/PIFu/lib/model/HGFilters.py", line 129, in forward
hg = self._modules['m' + str(i)](previous)
File "/home/hamit/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__
result = self.forward(*input, **kwargs)
File "/home/hamit/Softwares/environments/PIFu/lib/model/HGFilters.py", line 56, in forward
return self._forward(self.depth, x)
File "/home/hamit/Softwares/environments/PIFu/lib/model/HGFilters.py", line 39, in _forward
low2 = self._forward(level - 1, low1)
File "/home/hamit/Softwares/environments/PIFu/lib/model/HGFilters.py", line 50, in _forward
up2 = F.interpolate(low3, scale_factor=2, mode='bicubic', align_corners=True)
File "/home/hamit/anaconda3/lib/python3.7/site-packages/torch/nn/functional.py", line 2459, in interpolate
" (got {})".format(input.dim(), mode))
NotImplementedError: Input Error: Only 3D, 4D and 5D input Tensors supported (got 4D) for the modes: nearest | linear | bilinear | trilinear (got bicubic)
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alitokur
commented on May 16, 2024
I guess, there is a problem right there:
# NOTE: for newer PyTorch (1.3~), it seems that training results are degraded due to implementation diff in F.grid_sample
# if the pretrained model behaves weirdly, switch with the commented line.
# NOTE: I also found that "bicubic" works better.
up2 = F.interpolate(low3, scale_factor=2, mode='bicubic', align_corners=True)
# up2 = F.interpolate(low3, scale_factor=2, mode='nearest)
I tried the other up2 but then I see a type error:
grid_sample() got an unexpected keyword argument 'align_corners'
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shunsukesaito
commented on May 16, 2024
Are you sure you use PyTorch 1.4? The newer pytorch should have this 'align_corners' argument. Please try with the latest pytorch if you keep getting this error.
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alitokur
commented on May 16, 2024
i upgraded pytorch, now;
(tokurEnv) hamit@hamit-MS-7B49:~/Softwares/environments/PIFu$ python -c "import torch; print(torch.__version__)"
1.5.1
and
nvidia-smi :
if i set num_threads=0;
(tokurEnv) hamit@hamit-MS-7B49:~/Softwares/environments/PIFu$ python -m apps.train_shape --dataroot /home/hamit/Softwares/environments/PIFu/tempImages --random_flip --random_scale --random_trans --num_threads=0
/home/hamit/Softwares/environments/PIFu/lib/data/TrainDataset.py:102: UserWarning: loadtxt: Empty input file: "/home/hamit/Softwares/environments/PIFu/tempImages/val.txt"
var_subjects = np.loadtxt(os.path.join(self.root, 'val.txt'), dtype=str)
train data size: 180
test data size: 360
initialize network with normal
Using Network: hgpifu
Killed
other way just run the following command:
python -m apps.train_shape --dataroot /home/hamit/Softwares/environments/PIFu/tempImages --random_flip --random_scale --random_trans
/home/hamit/Softwares/environments/PIFu/lib/data/TrainDataset.py:102: UserWarning: loadtxt: Empty input file: "/home/hamit/Softwares/environments/PIFu/tempImages/val.txt"
var_subjects = np.loadtxt(os.path.join(self.root, 'val.txt'), dtype=str)
train data size: 180
test data size: 360
initialize network with normal
Using Network: hgpifu
Traceback (most recent call last):
File "/home/hamit/Softwares/environments/tokurEnv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 761, in _try_get_data
data = self._data_queue.get(timeout=timeout)
File "/usr/lib/python3.6/multiprocessing/queues.py", line 104, in get
if not self._poll(timeout):
File "/usr/lib/python3.6/multiprocessing/connection.py", line 257, in poll
return self._poll(timeout)
File "/usr/lib/python3.6/multiprocessing/connection.py", line 414, in _poll
r = wait([self], timeout)
File "/usr/lib/python3.6/multiprocessing/connection.py", line 911, in wait
ready = selector.select(timeout)
File "/usr/lib/python3.6/selectors.py", line 376, in select
fd_event_list = self._poll.poll(timeout)
File "/home/hamit/Softwares/environments/tokurEnv/lib/python3.6/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 5784) is killed by signal: Killed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/hamit/Softwares/environments/PIFu/apps/train_shape.py", line 183, in <module>
train(opt)
File "/home/hamit/Softwares/environments/PIFu/apps/train_shape.py", line 90, in train
for train_idx, train_data in enumerate(train_data_loader):
File "/home/hamit/Softwares/environments/tokurEnv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/home/hamit/Softwares/environments/tokurEnv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 841, in _next_data
idx, data = self._get_data()
File "/home/hamit/Softwares/environments/tokurEnv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 808, in _get_data
success, data = self._try_get_data()
File "/home/hamit/Softwares/environments/tokurEnv/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 774, in _try_get_data
raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
RuntimeError: DataLoader worker (pid(s) 5784) exited unexpectedly
I'm stuck a little bit Sir.
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shunsukesaito
commented on May 16, 2024
Okay. Can you spot where the program get stuck inside TrainDataset.py? What if you simply call elements from the dataset without wrapping it with Dataloader?
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alitokur
commented on May 16, 2024
took me all weekend but I got it.
- updated Nvidia driver (default Cuda kit 10.1)
- install Cuda 10.1
- PyTorch 1.5 with Cuda 10.1
- And I'm not sure but it's not working with python 3.6 but after installing Conda ( btw it comes with python 3.7 ) train is working.
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