Comments (4)
Hi @byungjinku
Thanks for trying the demo
It looks like your torch version might not be GPU enabled from a quick google search ; pytorch/pytorch#33655 (comment)
best regards,
Thibault
from atlasnet.
this code supoort only cuda 10.1 ?
we can't use on cuda 11.8?
from atlasnet.
No it should support both.
from atlasnet.
/home/bjku/miniconda3/envs/atlasnet/lib/python3.6/site-packages/torch/cuda/init.py:104: UserWarning:
NVIDIA GeForce RTX 4080 with CUDA capability sm_89 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 compute_37.
If you want to use the NVIDIA GeForce RTX 4080 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(incompatible_device_warn.format(device_name, capability, " ".join(arch_list), device_name))
Jitting Chamfer 3D
Traceback (most recent call last):
File "train.py", line 16, in
import training.trainer as trainer
File "/home/bjku/AtlasNet/training/trainer.py", line 13, in
from training.trainer_loss import TrainerLoss
File "/home/bjku/AtlasNet/training/trainer_loss.py", line 2, in
import auxiliary.ChamferDistancePytorch.chamfer3D.dist_chamfer_3D as dist_chamfer_3D
File "/home/bjku/AtlasNet/auxiliary/ChamferDistancePytorch/chamfer3D/dist_chamfer_3D.py", line 15, in
"/".join(os.path.abspath(file).split('/')[:-1] + ["chamfer3D.cu"]),
File "/home/bjku/miniconda3/envs/atlasnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 997, in load
keep_intermediates=keep_intermediates)
File "/home/bjku/miniconda3/envs/atlasnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1202, in _jit_compile
with_cuda=with_cuda)
File "/home/bjku/miniconda3/envs/atlasnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1293, in _write_ninja_file_and_build_library
with_cuda=with_cuda)
File "/home/bjku/miniconda3/envs/atlasnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1635, in _write_ninja_file_to_build_library
cuda_flags = common_cflags + COMMON_NVCC_FLAGS + _get_cuda_arch_flags()
File "/home/bjku/miniconda3/envs/atlasnet/lib/python3.6/site-packages/torch/utils/cpp_extension.py", line 1438, in _get_cuda_arch_flags
raise ValueError("Unknown CUDA arch ({}) or GPU not supported".format(arch))
ValueError: Unknown CUDA arch (8.9) or GPU not supported
I'tried to resoleve but i couldn't
from atlasnet.
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