When run“bash experiments/test.sh”, experiments/test.sh: line 20: 8344 Aborted (core dumped) #6

VanniZhou · 2020-11-25T03:52:40Z

Using tensorboardX

Bad key "text.kerning_factor" on line 4 in
/home/vincent/.local/lib/python3.6/site-packages/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle.
You probably need to get an updated matplotlibrc file from
http://github.com/matplotlib/matplotlib/blob/master/matplotlibrc.template
or from the matplotlib source distribution
terminate called after throwing an instance of 'c10::Error'
what(): No CUDA GPUs are available
Exception raised from device_count_ensure_non_zero at /pytorch/c10/cuda/CUDAFunctions.cpp:111 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x42 (0x7faf745fa8b2 in /home/vincent/.local/lib/python3.6/site-packages/torch/lib/libc10.so)
frame #1: c10::cuda::device_count_ensure_non_zero() + 0xc5 (0x7faf748488c5 in /home/vincent/.local/lib/python3.6/site-packages/torch/lib/libc10_cuda.so)
frame #2: THCudaInit(THCState*) + 0x21 (0x7faf758169d1 in /home/vincent/.local/lib/python3.6/site-packages/torch/lib/libtorch_cuda.so)
frame #3: + 0xcd9644 (0x7faf75742644 in /home/vincent/.local/lib/python3.6/site-packages/torch/lib/libtorch_cuda.so)
frame #4: at::Context::lazyInitCUDA()::{lambda()#1}::operator()() const + 0x36 (0x7faf53a9a99c in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #5: void std::__invoke_impl<void, at::Context::lazyInitCUDA()::{lambda()#1}>(std::__invoke_other, at::Context::lazyInitCUDA()::{lambda()#1}&&) + 0x20 (0x7faf53a9b61f in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #6: std::__invoke_resultat::Context::lazyInitCUDA()::{lambda()#1}::type std::__invokeat::Context::lazyInitCUDA()::{lambda()#1}(std::__invoke_result&&, (at::Context::lazyInitCUDA()::{lambda()#1}&&)...) + 0x35 (0x7faf53a9b36e in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #7: std::call_onceat::Context::lazyInitCUDA()::{lambda()#1}(std::once_flag&, at::Context::lazyInitCUDA()::{lambda()#1}&&)::{lambda()#1}::operator()() const + 0x23 (0x7faf53a9ae5d in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #8: std::call_onceat::Context::lazyInitCUDA()::{lambda()#1}(std::once_flag&, at::Context::lazyInitCUDA()::{lambda()#1}&&)::{lambda()#2}::operator()() const + 0x27 (0x7faf53a9ae95 in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #9: std::call_onceat::Context::lazyInitCUDA()::{lambda()#1}(std::once_flag&, at::Context::lazyInitCUDA()::{lambda()#1}&&)::{lambda()#2}::_FUN() + 0xe (0x7faf53a9aea6 in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #10: + 0xf907 (0x7fafdfee8907 in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #11: + 0x3c29a (0x7faf53a9629a in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #12: void std::call_onceat::Context::lazyInitCUDA()::{lambda()#1}(std::once_flag&, at::Context::lazyInitCUDA()::{lambda()#1}&&) + 0x82 (0x7faf53a9af3b in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #13: at::Context::lazyInitCUDA() + 0x36 (0x7faf53a9aa10 in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #14: + 0x40845 (0x7faf53a9a845 in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #15: + 0x40868 (0x7faf53a9a868 in /home/vincent/CenterFusion/src/lib/model/networks/DCNv2/_ext.cpython-36m-x86_64-linux-gnu.so)
frame #16: + 0x108f3 (0x7fafe04f98f3 in /lib64/ld-linux-x86-64.so.2)
frame #17: + 0x153bf (0x7fafe04fe3bf in /lib64/ld-linux-x86-64.so.2)
frame #18: _dl_catch_exception + 0x6f (0x7fafe025f1ef in /lib/x86_64-linux-gnu/libc.so.6)
frame #19: + 0x1498a (0x7fafe04fd98a in /lib64/ld-linux-x86-64.so.2)
frame #20: + 0xf96 (0x7fafdfcd5f96 in /lib/x86_64-linux-gnu/libdl.so.2)
frame #21: _dl_catch_exception + 0x6f (0x7fafe025f1ef in /lib/x86_64-linux-gnu/libc.so.6)
frame #22: _dl_catch_error + 0x2f (0x7fafe025f27f in /lib/x86_64-linux-gnu/libc.so.6)
frame #23: + 0x1745 (0x7fafdfcd6745 in /lib/x86_64-linux-gnu/libdl.so.2)
frame #24: dlopen + 0x71 (0x7fafdfcd6051 in /lib/x86_64-linux-gnu/libdl.so.2)

frame #27: python3() [0x5fb62d]
frame #30: python3() [0x507be4]
frame #31: python3() [0x509900]
frame #32: python3() [0x50a2fd]
frame #34: python3() [0x5095c8]
frame #35: python3() [0x50a2fd]
frame #37: python3() [0x5095c8]
frame #38: python3() [0x50a2fd]
frame #40: python3() [0x5095c8]
frame #41: python3() [0x50a2fd]
frame #43: python3() [0x5095c8]
frame #44: python3() [0x50a2fd]
frame #51: python3() [0x507be4]
frame #52: python3() [0x516069]
frame #55: python3() [0x507be4]
frame #56: python3() [0x509900]
frame #57: python3() [0x50a2fd]
frame #59: python3() [0x5095c8]
frame #60: python3() [0x50a2fd]
frame #62: python3() [0x5095c8]
frame #63: python3() [0x50a2fd]

experiments/test.sh: line 20: 8344 Aborted (core dumped) python3 test.py ddd --exp_id centerfusion --dataset nuscenes --val_split mini_val --run_dataset_eval --num_workers 4 --nuscenes_att --velocity --gpus 0 --pointcloud --radar_sweeps 3 --max_pc_dist 60.0 --pc_z_offset -0.0 --load_model ../models/centerfusion_e60.pth --flip_test

Sorry to bother you.
THX!

mrnabati · 2020-11-25T04:04:40Z

This seems to be a CUDA-PyTorch version incompatibility, as you are getting the No CUDA GPUs are available error. The code is tested and works with torch==1.2.0, torchvision==0.4.0 and CUDA 10.0.

VanniZhou · 2020-11-26T14:58:03Z

i changed my works totorch==1.2.0, torchvision==0.4.0 and CUDA 10.0.
and it doesn't work either.

vincent@girlfriend:~/CenterFusion$ sudo bash experiments/test.sh
Using tensorboardX

Bad key "text.kerning_factor" on line 4 in
/home/vincent/.local/lib/python3.6/site-packages/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle.
You probably need to get an updated matplotlibrc file from
http://github.com/matplotlib/matplotlib/blob/master/matplotlibrc.template
or from the matplotlib source distribution
THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=50 error=38 : no CUDA-capable device is detected
terminate called after throwing an instance of 'std::runtime_error'
what(): cuda runtime error (38) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:50
experiments/test.sh: line 21: 27740 Aborted (core dumped) python3 test.py ddd --exp_id centerfusion --dataset nuscenes --val_split mini_val --run_dataset_eval --num_workers 4 --nuscenes_att --velocity --gpus 0 --pointcloud --radar_sweeps 3 --max_pc_dist 60.0 --pc_z_offset -0.0 --load_model ../models/centerfusion_e60.pth --flip_test --resume

here is deviceQuery

vincent@girlfriend:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1660"
CUDA Driver Version / Runtime Version 11.0 / 10.0
CUDA Capability Major/Minor version number: 7.5
Total amount of global memory: 5942 MBytes (6230114304 bytes)
(22) Multiprocessors, ( 64) CUDA Cores/MP: 1408 CUDA Cores
GPU Max Clock rate: 1785 MHz (1.78 GHz)
Memory Clock rate: 4001 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 3 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS

here is nvidia-smi

here is nvcc -V

vincent@girlfriend:~/CenterFusion$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130

i want to know why there is no CUDA device, how can i fix this problem.
THX!

xiaocai506 · 2020-11-28T13:37:45Z

i changed my works totorch==1.2.0, torchvision==0.4.0 and CUDA 10.0. and it doesn't work either.

vincent@girlfriend:~/CenterFusion$ sudo bash experiments/test.sh
Using tensorboardX

Bad key "text.kerning_factor" on line 4 in
/home/vincent/.local/lib/python3.6/site-packages/matplotlib/mpl-data/stylelib/_classic_test_patch.mplstyle.
You probably need to get an updated matplotlibrc file from
http://github.com/matplotlib/matplotlib/blob/master/matplotlibrc.template
or from the matplotlib source distribution
THCudaCheck FAIL file=/pytorch/aten/src/THC/THCGeneral.cpp line=50 error=38 : no CUDA-capable device is detected
terminate called after throwing an instance of 'std::runtime_error'
what(): cuda runtime error (38) : no CUDA-capable device is detected at /pytorch/aten/src/THC/THCGeneral.cpp:50
experiments/test.sh: line 21: 27740 Aborted (core dumped) python3 test.py ddd --exp_id centerfusion --dataset nuscenes --val_split mini_val --run_dataset_eval --num_workers 4 --nuscenes_att --velocity --gpus 0 --pointcloud --radar_sweeps 3 --max_pc_dist 60.0 --pc_z_offset -0.0 --load_model ../models/centerfusion_e60.pth --flip_test --resume

here is deviceQuery

vincent@girlfriend:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1660"
CUDA Driver Version / Runtime Version 11.0 / 10.0
CUDA Capability Major/Minor version number: 7.5
Total amount of global memory: 5942 MBytes (6230114304 bytes)
(22) Multiprocessors, ( 64) CUDA Cores/MP: 1408 CUDA Cores
GPU Max Clock rate: 1785 MHz (1.78 GHz)
Memory Clock rate: 4001 Mhz
Memory Bus Width: 192-bit
L2 Cache Size: 1572864 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 3 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS

here is nvidia-smi

vincent@girlfriend:~/CenterFusion$ nvidia-smi
Thu Nov 26 22:54:55 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.80.02 Driver Version: 450.80.02 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 1660 Off | 00000000:01:00.0 On | N/A |
| 43% 34C P8 14W / 120W | 625MiB / 5941MiB | 34% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+

here is nvcc -V

vincent@girlfriend:~/CenterFusion$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sat_Aug_25_21:08:01_CDT_2018
Cuda compilation tools, release 10.0, V10.0.130

i want to know why there is no CUDA device, how can i fix this problem.
THX!

if you have only one gpu card,modify the code in file “experiments/test.sh”：
from
export CUDA_VISIBLE_DEVICES=1
to
export CUDA_VISIBLE_DEVICES=0

VanniZhou · 2020-11-29T08:46:47Z

@xiaocai506
THX!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

VanniZhou closed this as completed Nov 29, 2020

AHappyFlyBird mentioned this issue Feb 3, 2021

Training problem #22

Closed

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When run“bash experiments/test.sh”, experiments/test.sh: line 20: 8344 Aborted (core dumped) #6

When run“bash experiments/test.sh”, experiments/test.sh: line 20: 8344 Aborted (core dumped) #6

VanniZhou commented Nov 25, 2020

mrnabati commented Nov 25, 2020

VanniZhou commented Nov 26, 2020

xiaocai506 commented Nov 28, 2020

VanniZhou commented Nov 29, 2020

When run“bash experiments/test.sh”, experiments/test.sh: line 20: 8344 Aborted (core dumped) #6

When run“bash experiments/test.sh”, experiments/test.sh: line 20: 8344 Aborted (core dumped) #6

Comments

VanniZhou commented Nov 25, 2020

mrnabati commented Nov 25, 2020

VanniZhou commented Nov 26, 2020

xiaocai506 commented Nov 28, 2020

VanniZhou commented Nov 29, 2020