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Hi, I increased the memory, and it ran partially to create the segmented input images, however I reached this error that I don't quite understand:
2023-05-10 17:16:15.526359: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-05-10 17:16:15.609260: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-05-10 17:16:18.907335: W tensorflow/compiler/ tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT using 1 thread Segmentation of reference image already exists; reading from disk Segmentation of floating image already exists; reading from disk Linear registration Computing centroids and estimating affine transform Traceback (most recent call last): File "/scratch.global/tpengo/freesurfer/python/scripts/mri_easyreg", line 1809, in <module> main() File "/scratch.global/tpengo/freesurfer/python/scripts/mri_easyreg", line 194, in main Mflo = getM(atlasCOG[:, ok > 0], floCOG[:, ok > 0]) File "/scratch.global/tpengo/freesurfer/python/scripts/mri_easyreg", line 1198, in getM x = np.matmul(np.linalg.inv(np.matmul(np.transpose(A), A)), np.matmul(np.transpose(A), b)) File "<__array_function__ internals>", line 180, in inv File "/scratch.global/tpengo/freesurfer/python/lib/python3. 8/site-packages/numpy/linalg/linalg.py", line 552, in inv ainv = _umath_linalg.inv(a, signature=signature, extobj=extobj) File "/scratch.global/tpengo/freesurfer/python/lib/python3. 8/site-packages/numpy/linalg/linalg.py", line 89, in _raise_linalgerror_singular raise LinAlgError("Singular matrix") numpy.linalg.LinAlgError: Singular matrix
Nadia Kane
Junior Imaging Specialist
University Imaging Centers | University of Minnesota https://secure-web.cisco.com/1CgfJ293M5EIHLM0zgv8CWqjm5qLHzRSUoMULMp0eirEbBV...
On Tue, May 9, 2023 at 12:38 PM Nadia Kane kanex161@umn.edu wrote:
Hi, I'm working on applying deep learning in image registration for a master's project. The overarching goal was to use real tissue clearing lightsheet data to perform the image registration, but first created some synthetically deformed brains based on the Allen Brain Atlas and Lab2im algorithm https://secure-web.cisco.com/1LleH4XmcSc3vbFU8r_dMj1epTIr9qgP95cyHn0T9IwgC_jKBRSbIoA35pkuM5EoQY2In_inv57KtPNQ3PCOYNOPF6z2WVrt6FVldJPAv0DopfHXQL64mg8znPA2eMAjJCWsjJvZazuVoELOnU15wPSvhyFMDemzB0L8yHimGi-JN_e9qBhw4sZkc5-HV9Pgc8DUp06Zamcj6tU2klSA8IMTUS5bBaDoaSbRf0uuX-X7QFVcuoyJJSz-NvzReh7SJ6k9LUhQKeCDMKzgBvgUCKrI2Tsj95aDs_bwqMlZIBtpMdLO2OCx72QkAz487kz6s/https%3A%2F%2Fgithub.com%2FBBillot%2Flab2im. However, I'm having some issues implementing the command in an Centos Linux 7 (Core) HPC environment. The command gets Killed, I'm wondering if you could provide some more insight? Thank you!
I've set up my environment as follows:
module load mamba mamba create -n freesurf # I named the environment freesurf conda activate freesurf mamba install tensorflow-gpu cuda-version=11.8
I've attached the easyreg.sh shell script that I run. Here's the output:
(freesurfer) kanex161@agc02 [~/Documents/Thesis/code] % bash easyreg.sh 2023-05-09 11:19:32.374206: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-05-09 11:19:32.405672: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2023-05-09 11:19:32.405981: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-05-09 11:19:33.258226: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT [W interface.cpp:47] Warning: Loading nvfuser library failed with: Error in dlopen: libnvfuser_codegen.so: cannot open shared object file: No such file or directory (function LoadingNvfuserLibrary) using 1 thread Segmenting reference image Reading reference image Setting up segmentation net 2023-05-09 11:19:38.489093: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:266] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2023-05-09 11:19:38.489166: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:168] retrieving CUDA diagnostic information for host: agc02 2023-05-09 11:19:38.489202: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:175] hostname: agc02 2023-05-09 11:19:38.489460: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:199] libcuda reported version is: 470.103.1 2023-05-09 11:19:38.489502: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:203] kernel reported version is: 470.103.1 2023-05-09 11:19:38.489530: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:309] kernel version seems to match DSO: 470.103.1 Inference / segmentation easyreg.sh: line 8: 1108392 Killed ./mri_easyreg --ref /home/umii/kanex161/Documents/Thesis/data/outputs/atlas/atlas.nii.gz --flo /home/umii/kanex161/Documents/Thesis/data/outputs/lab2im/brains/brain_00.nii.gz --ref_seg /home/umii/kanex161/Documents/Thesis/data/outputs/easyreg/ref_seg.nii.gz --flo_seg /home/umii/kanex161/Documents/Thesis/data/outputs/easyreg/flo_seg.nii.gz --flo_reg /home/umii/kanex161/Documents/Thesis/data/outputs/easyreg/flo_reg.nii.gz --fwd_field /home/umii/kanex161/Documents/Thesis/data/outputs/easyreg/fwd_field.nii.gz