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[WARNING]your gpu arch (8, 6) isn't compiled in prebuilt, may cause invalid device function. available: {(6, 1), (3, 7), (7, 0), (5, 0), (6, 0), (7, 5), (5, 2)}
[Exception|indice_conv|subm]feat=torch.Size([100432, 256]),w=torch.Size([3, 3, 256, 256]),pair=torch.Size([2, 9, 100432]),pairnum=tensor([95659, 98114, 95665, 97724, 0, 0, 0, 0, 0],
dtype=torch.int32),act=100432,algo=ConvAlgo.Native
SPCONV_DEBUG_SAVE_PATH not found, you can specify SPCONV_DEBUG_SAVE_PATH as debug data save path to save debug data which can be attached in a issue.
x <spconv.pytorch.core.SparseConvTensor object at 0x7f730398bb20>
[WARNING]your gpu arch (8, 6) isn't compiled in prebuilt, may cause invalid device function. available: {(6, 1), (3, 7), (7, 0), (5, 0), (6, 0), (7, 5), (5, 2)}
[Exception|indice_conv|subm]feat=torch.Size([109840, 256]),w=torch.Size([3, 3, 256, 256]),pair=torch.Size([2, 9, 109840]),pairnum=tensor([105367, 107530, 105370, 107432, 0, 0, 0, 0, 0],
dtype=torch.int32),act=109840,algo=ConvAlgo.Native
SPCONV_DEBUG_SAVE_PATH not found, you can specify SPCONV_DEBUG_SAVE_PATH as debug data save path to save debug data which can be attached in a issue.
Traceback (most recent call last):
File "infer_visdrone.py", line 16, in
launch(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/detectron2/engine/launch.py", line 67, in launch
mp.spawn(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 230, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 188, in start_processes
while not context.join():
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 150, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 1 terminated with the following error:
Traceback (most recent call last):
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 59, in _wrap
fn(i, *args)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/detectron2/engine/launch.py", line 126, in _distributed_worker
main_func(*args)
File "/home/abab/QueryDet-PyTorch-main/train_tools/visdrone_infer.py", line 170, in start_train
res = Trainer.test(cfg, model)
File "/home/abab/QueryDet-PyTorch-main/train_tools/visdrone_infer.py", line 77, in test
result = inference_on_dataset(model, data_loader, evaluator)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/detectron2/evaluation/evaluator.py", line 158, in inference_on_dataset
outputs = model(inputs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/abab/QueryDet-PyTorch-main/models/querydet/detector.py", line 172, in forward
return self.test(batched_inputs)
File "/home/abab/QueryDet-PyTorch-main/models/querydet/detector.py", line 289, in test
results, total_time = self.test_forward(images) # normal test
File "/home/abab/QueryDet-PyTorch-main/models/querydet/detector.py", line 357, in test_forward
det_cls_query, det_bbox_query, query_anchors = self.qInfer.run_qinfer(params, CAS_feature, features_value,
File "/home/abab/QueryDet-PyTorch-main/models/querydet/qinfer.py", line 226, in run_qinfer
cls_result_i = self._run_spconvs(x, self.cls_spconv).view(-1, self.anchor_num * self.num_classes)[inds]
File "/home/abab/QueryDet-PyTorch-main/models/querydet/qinfer.py", line 201, in _run_spconvs
y = filters(x)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/modules.py", line 137, in forward
input = module(input)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/conv.py", line 330, in forward
out_features = Fsp.indice_subm_conv(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/cuda/amp/autocast_mode.py", line 216, in decorate_fwd
return fwd(*args, **kwargs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/functional.py", line 294, in forward
raise e
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/functional.py", line 279, in forward
return ops.indice_conv(features,
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/ops.py", line 695, in indice_conv
tuned_res, min_time = GEMM.tune_and_cache(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/algo.py", line 358, in tune_and_cache
GemmMainUnitTest.matmul2(params)
RuntimeError: /io/build/temp.linux-x86_64-cpython-38/spconv/build/src/cumm/gemm/main/GemmMainUnitTest/GemmMainUnitTest_matmul2.cu 4489
cuda execution failed with error 209 no kernel image is available for execution on the device
Simt_f32f32f32f32f32tnt_m64n256k8m32n64k8_2_SAC00 error with params [100432, 256] [256, 256] [100432, 256]
Could you please help me with this problem? Thank you.
The text was updated successfully, but these errors were encountered:
[WARNING]your gpu arch (8, 6) isn't compiled in prebuilt, may cause invalid device function. available: {(6, 1), (3, 7), (7, 0), (5, 0), (6, 0), (7, 5), (5, 2)}
[Exception|indice_conv|subm]feat=torch.Size([100432, 256]),w=torch.Size([3, 3, 256, 256]),pair=torch.Size([2, 9, 100432]),pairnum=tensor([95659, 98114, 95665, 97724, 0, 0, 0, 0, 0],
dtype=torch.int32),act=100432,algo=ConvAlgo.Native
SPCONV_DEBUG_SAVE_PATH not found, you can specify SPCONV_DEBUG_SAVE_PATH as debug data save path to save debug data which can be attached in a issue.
x <spconv.pytorch.core.SparseConvTensor object at 0x7f730398bb20>
[WARNING]your gpu arch (8, 6) isn't compiled in prebuilt, may cause invalid device function. available: {(6, 1), (3, 7), (7, 0), (5, 0), (6, 0), (7, 5), (5, 2)}
[Exception|indice_conv|subm]feat=torch.Size([109840, 256]),w=torch.Size([3, 3, 256, 256]),pair=torch.Size([2, 9, 109840]),pairnum=tensor([105367, 107530, 105370, 107432, 0, 0, 0, 0, 0],
dtype=torch.int32),act=109840,algo=ConvAlgo.Native
SPCONV_DEBUG_SAVE_PATH not found, you can specify SPCONV_DEBUG_SAVE_PATH as debug data save path to save debug data which can be attached in a issue.
Traceback (most recent call last):
File "infer_visdrone.py", line 16, in
launch(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/detectron2/engine/launch.py", line 67, in launch
mp.spawn(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 230, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 188, in start_processes
while not context.join():
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 150, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 1 terminated with the following error:
Traceback (most recent call last):
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 59, in _wrap
fn(i, *args)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/detectron2/engine/launch.py", line 126, in _distributed_worker
main_func(*args)
File "/home/abab/QueryDet-PyTorch-main/train_tools/visdrone_infer.py", line 170, in start_train
res = Trainer.test(cfg, model)
File "/home/abab/QueryDet-PyTorch-main/train_tools/visdrone_infer.py", line 77, in test
result = inference_on_dataset(model, data_loader, evaluator)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/detectron2/evaluation/evaluator.py", line 158, in inference_on_dataset
outputs = model(inputs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/abab/QueryDet-PyTorch-main/models/querydet/detector.py", line 172, in forward
return self.test(batched_inputs)
File "/home/abab/QueryDet-PyTorch-main/models/querydet/detector.py", line 289, in test
results, total_time = self.test_forward(images) # normal test
File "/home/abab/QueryDet-PyTorch-main/models/querydet/detector.py", line 357, in test_forward
det_cls_query, det_bbox_query, query_anchors = self.qInfer.run_qinfer(params, CAS_feature, features_value,
File "/home/abab/QueryDet-PyTorch-main/models/querydet/qinfer.py", line 226, in run_qinfer
cls_result_i = self._run_spconvs(x, self.cls_spconv).view(-1, self.anchor_num * self.num_classes)[inds]
File "/home/abab/QueryDet-PyTorch-main/models/querydet/qinfer.py", line 201, in _run_spconvs
y = filters(x)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/modules.py", line 137, in forward
input = module(input)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/conv.py", line 330, in forward
out_features = Fsp.indice_subm_conv(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/torch/cuda/amp/autocast_mode.py", line 216, in decorate_fwd
return fwd(*args, **kwargs)
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/functional.py", line 294, in forward
raise e
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/functional.py", line 279, in forward
return ops.indice_conv(features,
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/pytorch/ops.py", line 695, in indice_conv
tuned_res, min_time = GEMM.tune_and_cache(
File "/usr/local/anaconda3/envs/querydet/lib/python3.8/site-packages/spconv/algo.py", line 358, in tune_and_cache
GemmMainUnitTest.matmul2(params)
RuntimeError: /io/build/temp.linux-x86_64-cpython-38/spconv/build/src/cumm/gemm/main/GemmMainUnitTest/GemmMainUnitTest_matmul2.cu 4489
cuda execution failed with error 209 no kernel image is available for execution on the device
Simt_f32f32f32f32f32tnt_m64n256k8m32n64k8_2_SAC00 error with params [100432, 256] [256, 256] [100432, 256]
Could you please help me with this problem? Thank you.
The text was updated successfully, but these errors were encountered: