1、Found GPU0 Quadro K4000 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
is it possible that cuda9.0 is ok with Quadro K4000?
2、 AND RuntimeError: CUDA error: no kernel image is available for execution on the device.
is the first problem lead to the second problem？
Found GPU0 Quadro K4000 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
(base) [ljh@bogon second]$ python ./pytorch/train.py train --config_path=./configs/car.fhd.config --model_dir=/home/ljh
/home/ljh/anaconda3/lib/python3.7/site-packages/torch/cuda/init.py:117: UserWarning:
Found GPU0 Quadro K4000 which is of cuda capability 3.0.
PyTorch no longer supports this GPU because it is too old.
warnings.warn(old_gpu_warn % (d, name, major, capability[1]))
[ 41 1600 1408]
num_trainable parameters: 90
{‘Car’: 5}
[-1]
load 14357 Car database infos
load 2207 Pedestrian database infos
load 734 Cyclist database infos
load 1297 Van database infos
load 56 Person_sitting database infos
load 488 Truck database infos
load 224 Tram database infos
load 337 Misc database infos
After filter database:
load 10520 Car database infos
load 2104 Pedestrian database infos
load 594 Cyclist database infos
load 826 Van database infos
load 53 Person_sitting database infos
load 321 Truck database infos
load 199 Tram database infos
load 259 Misc database infos
remain number of infos: 3712
remain number of infos: 3769
WORKER 0 seed: 1553668239
WORKER 1 seed: 1553668240
WORKER 2 seed: 1553668241
Traceback (most recent call last):
File “./pytorch/train.py”, line 689, in
fire.Fire()
File “/home/ljh/anaconda3/lib/python3.7/site-packages/fire/core.py”, line 127, in Fire
component_trace = _Fire(component, args, context, name)
File “/home/ljh/anaconda3/lib/python3.7/site-packages/fire/core.py”, line 366, in _Fire
component, remaining_args)
File “/home/ljh/anaconda3/lib/python3.7/site-packages/fire/core.py”, line 542, in _CallCallable
result = fn(*varargs, **kwargs)
File “./pytorch/train.py”, line 414, in train
raise e
File “./pytorch/train.py”, line 259, in train
ret_dict = net(example_torch)
File “/home/ljh/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/ljh/Downloads/second.pytorch/second/pytorch/models/voxelnet.py”, line 277, in forward
voxel_features = self.voxel_feature_extractor(voxels, num_points)
File “/home/ljh/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “/home/ljh/Downloads/second.pytorch/second/pytorch/models/voxel_encoder.py”, line 205, in forward
dim=1, keepdim=False) / num_voxels.type_as(features).view(-1, 1)
RuntimeError: CUDA error: no kernel image is available for execution on the device