Hi,
I have followed the installation instruction and was trying out the example_projector.py.
However, I am getting this error message and have no idea how to slove it.
Traceback (most recent call last):
File "/home/rgu/Documents/GitHub/S3_knee_segmentation/ct2x_angled.py", line 56, in
main()
File "/home/rgu/Documents/GitHub/S3_knee_segmentation/ct2x_angled.py", line 46, in main
with Projector(patient, carm=carm) as projector:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rgu/miniconda3/lib/python3.11/site-packages/deepdrr/projector/projector.py", line 306, in init
self.mod = _get_kernel_projector_module(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rgu/miniconda3/lib/python3.11/site-packages/deepdrr/projector/projector.py", line 138, in _get_kernel_projector_module
return SourceModule(
^^^^^^^^^^^^^
File "/home/rgu/miniconda3/lib/python3.11/site-packages/pycuda/compiler.py", line 355, in init
cubin = compile(
^^^^^^^^
File "/home/rgu/miniconda3/lib/python3.11/site-packages/pycuda/compiler.py", line 304, in compile
return compile_plain(source, options, keep, nvcc, cache_dir, target)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rgu/miniconda3/lib/python3.11/site-packages/pycuda/compiler.py", line 90, in compile_plain
checksum.update(preprocess_source(source, options, nvcc).encode("utf-8"))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/rgu/miniconda3/lib/python3.11/site-packages/pycuda/compiler.py", line 58, in preprocess_source
raise CompileError(
pycuda.driver.CompileError: nvcc preprocessing of /tmp/tmpozfdc8zt.cu failed
[command: nvcc --preprocess -D NUM_VOLUMES=1 -D NUM_MATERIALS=3 -D ATTENUATE_OUTSIDE_VOLUME=0 -D AIR_INDEX=0 -arch sm_89 -I/home/rgu/miniconda3/lib/python3.11/site-packages/deepdrr/projector/cubic -I/home/rgu/miniconda3/lib/python3.11/site-packages/deepdrr/projector -I/home/rgu/miniconda3/lib/python3.11/site-packages/pycuda/cuda /tmp/tmpozfdc8zt.cu --compiler-options -P]
[stderr:
b"nvcc fatal : Value 'sm_89' is not defined for option 'gpu-architecture'\n"]
I am currently on cuda v10.1. Appreciation on any suggestion for it.