ok, next problem… running cryosparc compiled with cuda 8 actually is causing problems.
In running 2D classification, I get this error
Traceback (most recent call last):
File "cryosparc2_worker/cryosparc2_compute/run.py", line 78, in cryosparc2_compute.run.main
File "cryosparc2_worker/cryosparc2_compute/jobs/class2D/run.py", line 310, in cryosparc2_compute.jobs.class2D.run.run_class_2D
File "cryosparc2_worker/cryosparc2_compute/engine/engine.py", line 923, in cryosparc2_compute.engine.engine.process
File "cryosparc2_worker/cryosparc2_compute/engine/engine.py", line 933, in cryosparc2_compute.engine.engine.process
File "cryosparc2_worker/cryosparc2_compute/engine/cuda_core.py", line 126, in cryosparc2_compute.engine.cuda_core.allocate_gpu
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/gpuarray.py", line 549, in fill
func = elementwise.get_fill_kernel(self.dtype)
File "<decorator-gen-13>", line 2, in get_fill_kernel
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/tools.py", line 430, in context_dependent_memoize
result = func(*args)
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/elementwise.py", line 496, in get_fill_kernel
"fill")
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/elementwise.py", line 161, in get_elwise_kernel
arguments, operation, name, keep, options, **kwargs)
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/elementwise.py", line 147, in get_elwise_kernel_and_types
keep, options, **kwargs)
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/elementwise.py", line 75, in get_elwise_module
options=options, keep=keep)
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/compiler.py", line 291, in __init__
arch, code, cache_dir, include_dirs)
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/compiler.py", line 254, in compile
return compile_plain(source, options, keep, nvcc, cache_dir, target)
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/compiler.py", line 78, in compile_plain
checksum.update(preprocess_source(source, options, nvcc).encode("utf-8"))
File "/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/compiler.py", line 55, in preprocess_source
cmdline, stderr=stderr)
CompileError: nvcc preprocessing of /tmp/tmp_CN9lp.cu failed
[command: nvcc --preprocess -arch sm_70 -I/opt/cryosparc2/cryosparc2_worker/deps/anaconda/lib/python2.7/site-packages/pycuda/cuda /tmp/tmp_CN9lp.cu --compiler-options -P]
[stderr:
nvcc fatal : Value 'sm_70' is not defined for option 'gpu-architecture'
]
Looks like there are flags incompatible with cuda8, i.e. sm_70?
Where are compiler options set for cuda libraries?
Thanks