Hey!
I have encountered a problem when I use 2D classification job, dose anyone know how to deal with this case?
I set Maximum alignment = 400 A, Number of GPUs = 8,
The error message is the following.
[CPU: 4.87 GB Avail: 229.79 GB]
Traceback (most recent call last):
File “/spshared/apps/cryosparc4/cryosparc_worker/cryosparc_compute/jobs/runcommon.py”, line 2192, in run_with_except_hook
run_old(*args, **kw)
File “cryosparc_master/cryosparc_compute/gpu/gpucore.py”, line 134, in cryosparc_master.cryosparc_compute.gpu.gpucore.GPUThread.run
File “cryosparc_master/cryosparc_compute/gpu/gpucore.py”, line 135, in cryosparc_master.cryosparc_compute.gpu.gpucore.GPUThread.run
File “cryosparc_master/cryosparc_compute/jobs/class2D/newrun.py”, line 615, in cryosparc_master.cryosparc_compute.jobs.class2D.newrun.class2D_engine_run.work
File “cryosparc_master/cryosparc_compute/engine/newengine.py”, line 690, in cryosparc_master.cryosparc_compute.engine.newengine.EngineThread.set_terms
File “cryosparc_master/cryosparc_compute/gpu/gpucore.py”, line 374, in cryosparc_master.cryosparc_compute.gpu.gpucore.EngineBaseThread.ensure_allocated
File “/spshared/apps/cryosparc4/cryosparc_worker/deps/anaconda/envs/cryosparc_worker_env/lib/python3.8/site-packages/numba/cuda/cudadrv/devices.py”, line 232, in _require_cuda_context
return fn(*args, **kws)
File “/spshared/apps/cryosparc4/cryosparc_worker/deps/anaconda/envs/cryosparc_worker_env/lib/python3.8/site-packages/numba/cuda/api.py”, line 190, in pinned_array
return np.ndarray(shape=shape, strides=strides, dtype=dtype, order=order,
ValueError: null buffer pointer
