I am getting the following error on linux:
(skoots-env2) [akas0018@m3t103 skoots]$ skoots-train --config-file “config.yaml”
/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/skoots/train/main.py:70: UserWarning: Could not find file at path: /home/chris/Dropbox (Partners HealthCare)/trainMitochondriaSegmentation/models/Oct20_11-54-51_CHRISUBUNTU.trch. Model has not been loaded.
warnings.warn(f’Could not find file at path: {cfg.TRAIN.PRETRAINED_MODEL_PATH[0]}. Model has not been loaded.')
setting up rank=1 (with world_size=2)
MASTER_ADDR=‘127.0.0.1’
port=‘41819’
backend=‘nccl’
setting up rank=0 (with world_size=2)
MASTER_ADDR=‘127.0.0.1’
port=‘41819’
backend=‘nccl’
→ done setting up rank=1
→ done setting up rank=0
W1016 02:28:45.823000 139689245087552 torch/multiprocessing/spawn.py:146] Terminating process 1788769 via signal SIGTERM
Traceback (most recent call last):
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/bin/skoots-train”, line 8, in
sys.exit(main())
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/skoots/train/main.py”, line 75, in main
mp.spawn(train, args=(port, world_size, model, cfg, args.log), nprocs=world_size, join=True)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py”, line 282, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method=“spawn”)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py”, line 238, in start_processes
while not context.join():
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py”, line 189, 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 “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/multiprocessing/spawn.py”, line 76, in _wrap
fn(i, *args)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/skoots/train/engine.py”, line 71, in train
base_model = base_model.to(device)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1174, in to
return self._apply(convert)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 780, in _apply
module._apply(fn)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 780, in _apply
module._apply(fn)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 780, in _apply
module._apply(fn)
[Previous line repeated 1 more time]
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 805, in _apply
param_applied = fn(param)
File “/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 1160, in convert
return t.to(
RuntimeError: CUDA error: invalid device ordinal
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
Below is the configuration on my environment
(skoots-env2) [akas0018@m3t103 skoots]$ python -m torch.utils.collect_env
/scratch/cm10/akas0018/miniconda/conda/envs/skoots-env2/lib/python3.10/runpy.py:126: RuntimeWarning: ‘torch.utils.collect_env’ found in sys.modules after import of package ‘torch.utils’, but prior to execution of ‘torch.utils.collect_env’; this may result in unpredictable behaviour
warn(RuntimeWarning(msg))
Collecting environment information…
PyTorch version: 2.4.1+cu118
Is debug build: False
CUDA used to build PyTorch: 11.8
ROCM used to build PyTorch: N/A
OS: Rocky Linux 9.2 (Blue Onyx) (x86_64)
GCC version: (GCC) 11.3.1 20221121 (Red Hat 11.3.1-4)
Clang version: 15.0.7 (Red Hat 15.0.7-2.el9)
CMake version: version 3.20.2
Libc version: glibc-2.34
Python version: 3.10.15 (main, Oct 3 2024, 07:27:34) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.34
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: Tesla T4
Nvidia driver version: 535.104.05
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 52
On-line CPU(s) list: 0-51
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Gold 6230R CPU @ 2.10GHz
CPU family: 6
Model: 85
Thread(s) per core: 1
Core(s) per socket: 26
Socket(s): 2
Stepping: 7
CPU max MHz: 4000.0000
CPU min MHz: 1000.0000
BogoMIPS: 4200.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke avx512_vnni md_clear flush_l1d arch_capabilities
L1d cache: 1.6 MiB (52 instances)
L1i cache: 1.6 MiB (52 instances)
L2 cache: 52 MiB (52 instances)
L3 cache: 71.5 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50
NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51
Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT disabled
Vulnerability Retbleed: Mitigation; Enhanced IBRS
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Mitigation; TSX disabled
Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==2.0.1
[pip3] torch==2.4.1+cu118
[pip3] torchaudio==2.4.1+cu118
[pip3] torchvision==0.19.1+cu118
[pip3] triton==3.0.0
[pip3] triton-library==1.0.0rc4
[conda] blas 1.0 mkl
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] libjpeg-turbo 2.0.0 h9bf148f_0 pytorch
[conda] mkl 2023.1.0 h213fc3f_46344
[conda] mkl-fft 1.3.10 pypi_0 pypi
[conda] mkl-random 1.2.7 pypi_0 pypi
[conda] mkl-service 2.4.0 pypi_0 pypi
[conda] mkl_fft 1.3.10 py310h5eee18b_0
[conda] mkl_random 1.2.7 py310h1128e8f_0
[conda] numpy 2.0.1 pypi_0 pypi
[conda] numpy-base 2.0.1 py310hb5e798b_1
[conda] pytorch-mutex 1.0 cpu pytorch
[conda] torch 2.4.1+cu118 pypi_0 pypi
[conda] torchaudio 2.4.1+cu118 pypi_0 pypi
[conda] torchvision 0.19.1+cu118 pypi_0 pypi
[conda] triton 3.0.0 pypi_0 pypi
[conda] triton-library 1.0.0rc4 pypi_0 pypi
I would be really grateful for any help. Thanks in advance
