Closed dyhan316 closed 2 years ago
Does tractseg for normal input (no bedpostX) work without any memory errors?
Thank you for the reply! When done with just preprocessed dwi data, I get,
Creating brain mask...
Warning: An input intended to be a single 3D volume has multiple timepoints. Input will be truncated to first volume, but this functionality is deprecated and will be removed in a future release.
Creating peaks (1 of 3)...
sh: 1: dwi2response: not found
Creating peaks (2 of 3)...
sh: 1: dwi2fod: not found
Creating peaks (3 of 3)...
sh: 1: sh2peaks: not found
Traceback (most recent call last):
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/nibabel/loadsave.py", line 42, in load
stat_result = os.stat(filename)
FileNotFoundError: [Errno 2] No such file or directory: 'tractseg_output/peaks.nii.gz'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/bin/TractSeg", line 417, in <module>
main()
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/bin/TractSeg", line 255, in main
data_img = nib.load(peak_path)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/nibabel/loadsave.py", line 44, in load
raise FileNotFoundError(f"No such file or no access: '{filename}'")
FileNotFoundError: No such file or no access: 'tractseg_output/peaks.nii.gz'
(the resulting folder was the following : )
You have to install mrtrix to make it work (you need for example the command "dwi2response"). Mrtrix is used to calculate the peaks.
Thank you for the response!
After installing mrtrix,when I run it again, it does create the peaks.nii.gz
file. However, the following error (again, related to cuda I suppose?) arises..
Creating brain mask...
Warning: An input intended to be a single 3D volume has multiple timepoints. Input will be truncated to first volume, but this functionality is deprecated and will be removed in a future release.
Creating peaks (1 of 3)...
Creating peaks (2 of 3)...
Creating peaks (3 of 3)...
Reorienting data...
Loading weights from: /home/connectome/dyhan316/.tractseg/pretrained_weights_tract_segmentation_v3.npz
Processing direction (1 of 3)
0%| | 0/144 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/bin/TractSeg", line 417, in <module>
main()
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/bin/TractSeg", line 334, in main
unit_test=args.test)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/tractseg/python_api.py", line 172, in run_tractseg
batch_size=inference_batch_size)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/tractseg/libs/direction_merger.py", line 30, in get_seg_single_img_3_directions
batch_size=batch_size) # (x, y, z, nr_classes)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/tractseg/libs/trainer.py", line 298, in predict_img
layer_probs = model.predict(x) # (bs, x, y, nr_classes)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/tractseg/models/base_model.py", line 239, in predict
outputs = self.net(X) # forward
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/tractseg/models/unet_pytorch_deepsup.py", line 73, in forward
contr_1_1 = self.contr_1_1(inpt)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/torch/nn/modules/container.py", line 141, in forward
input = module(input)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 447, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/home/connectome/dyhan316/.conda/envs/TRACTSEG/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 444, in _conv_forward
self.padding, self.dilation, self.groups)
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
In the following bedpostX folder, I tried running
TractSeg -i dyads1.nii.gz
.However, the following error was output :
I looked at
nvidia-smi
to check if it really is a memory issue, but as the picture below shows, there are plenty of idle gpus... Could anyone explain how I can resolve this? Thank you!