[Bug]

[tjchen1028]

Prerequisite

• I have searched Issues and Discussions but cannot get the expected help.
• I have read the FAQ documentation but cannot get the expected help.
• The bug has not been fixed in the latest version (master) or latest version (1.x).

Task

I'm using the official example scripts/configs for the officially supported tasks/models/datasets.

Branch

master branch https://github.com/wokaikaixinxin/ai4rs

Environment

sys.platform: linux
Python: 3.10.18 (main, Jun 5 2025, 13:14:17) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0: NVIDIA TITAN RTX
CUDA_HOME: /usr/local/cuda-12.1
NVCC: Cuda compilation tools, release 12.1, V12.1.105
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 2.1.2
PyTorch compiling details: PyTorch built with:

• GCC 9.3
• C++ Version: 201703
• Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications
• Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 12.1
• NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90
• CuDNN 8.9.2
• Magma 2.6.1
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.2, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.16.2
OpenCV: 4.12.0
MMEngine: 0.10.7
mmrotate: 1.0.0rc1+

Reproduces the problem - code sample

File "/ai4rs-main/mmrotate/evaluation/functional/mean_ap.py", line 209, in eval_rbbox_map
pool = get_context('spawn').Pool(nproc)
如果改成fork形式，测试的时候又会锁死。

Reproduces the problem - command or script

python tools/train.py xx.py单卡的时候经常会出现，并不一定出现

Reproduces the problem - error message

File "/ai4rs-main/mmrotate/evaluation/functional/mean_ap.py", line 209, in eval_rbbox_map
pool = get_context('spawn').Pool(nproc)
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/context.py", line 119, in Pool
return Pool(processes, initializer, initargs, maxtasksperchild,
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/pool.py", line 215, in init
self._repopulate_pool()
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/pool.py", line 306, in _repopulate_pool
return self._repopulate_pool_static(self._ctx, self.Process,
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/pool.py", line 329, in _repopulate_pool_static
w.start()
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
return Popen(process_obj)
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in init
super().init(process_obj)
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/popen_fork.py", line 19, in init
self._launch(process_obj)
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
prep_data = spawn.get_preparation_data(process_obj._name)
File "/home/anaconda3/envs/ai4rs/lib/python3.10/multiprocessing/spawn.py", line 176, in get_preparation_data
dir=os.getcwd(),
FileNotFoundError: [Errno 2] No such file or directory

Additional information

No response