Fix minor bug and update cc table in setup.py

[tsadakane]

No description provided.

[casperdcl]

This PR seems to have broken the build: TomographicImaging/TIGRE-conda#18 -> https://github.com/TomographicImaging/TIGRE-conda/actions/runs/23854198498/job/69542468982#step:4:555 on cuda 12.9:

$PREFIX/bin/nvcc -DIS_FOR_PYTIGRE -I$PREFIX/lib/python3.10/site-packages/numpy/_core/include -I$PREFIX/include -ICommon/CUDA/ -I$PREFIX/include/python3.1
 │ │ 0 -c Common/CUDA/PICCS.cu -o build/temp.linux-x86_64-cpython-310/Common/CUDA/PICCS.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_N
 │ │ O_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options '-fPIC' -gencode=arch=compute_121,code=sm_121 -gencode=arch=compute_120,code=sm_120 -gencod
 │ │ e=arch=compute_110,code=sm_110 -gencode=arch=compute_103,code=sm_103 -gencode=arch=compute_100,code=sm_100 -gencode=arch=compute_90,code=sm_90 -gencode=arc
 │ │ h=compute_89,code=sm_89 -gencode=arch=compute_87,code=sm_87 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_7
 │ │ 5,code=sm_75 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_61,code=sm_61 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_52,code=sm_5
 │ │ 2 -gencode=arch=compute_50,code=sm_50 --ptxas-options=-v -c --default-stream=per-thread -std=c++11
 │ │   nvcc fatal   : Unsupported gpu architecture 'compute_110'

[AnderBiguri]

@casperdcl hum, I can not test this now, but from all that I can see in NVIDIA docs, compute_110 should be a valid architecture?

[casperdcl]

continuing discussion in #738