RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.

fangziy commented 1 year ago

Prerequisite

[X] I have searched Issues and Discussions but cannot get the expected help.
[X] I have read the FAQ documentation but cannot get the expected help.
[x] 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/open-mmlab/mmrotate

Environment

sys.platform: linux Python: 3.8.8 (default, Feb 24 2021, 21:46:12) [GCC 7.3.0] CUDA available: True GPU 0: NVIDIA GeForce RTX 4090 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.1, V11.1.105 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.8.1 PyTorch compiling details: PyTorch built with:

GCC 7.3
C++ Version: 201402
Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)
OpenMP 201511 (a.k.a. OpenMP 4.5)
NNPACK is enabled
CPU capability usage: AVX2
CUDA Runtime 11.1
NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-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_37,code=compute_37
CuDNN 8.0.5
Magma 2.5.2
Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.1, 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,

TorchVision: 0.9.1 OpenCV: 4.8.0 MMCV: 1.7.1 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMRotate: 0.3.4+12961ad

Reproduces the problem - code sample

CUDA_VISIBLE_DEVICES=0 python tools/train.py /root/workspace/Large-Selective-Kernel-Network/configs/lsknet/lsk_t_fpn_1x_dota_le90.py

Reproduces the problem - command or script

CUDA_VISIBLE_DEVICES=0 python tools/train.py /root/workspace/Large-Selective-Kernel-Network/configs/lsknet/lsk_t_fpn_1x_dota_le90.py

Reproduces the problem - error message

RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.

Additional information

你好，我下载了预训练模型后，想使用您的config文件运行，但是报错了RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.

在同样的环境下，我运行Orien RCNN是不会报错的，请问这是什么问题，应该如何解决呢？

zcablii commented 1 year ago

If you train on one single GPU, try to modify the config file to norm_cfg=dict(type='BN', requires_grad=True)

kobezy commented 1 year ago

If you train on one single GPU, try to modify the config file to norm_cfg=dict(type='BN', requires_grad=True)

Hello author, I am trying to train with single player four cards based on reference./tools/dist_train.sh ${CONFIG_FILE} ${GPU_NUM} [optional arguments]. My command is./tools/dist_train.sh ./configs/lsknet/lsk_s_fpn_3x_hrscle90.py 4, but this issue still occurs: RuntimeError: Default process group has not been initialized, please make sure to call init Process_ Group May I ask how I should do it? Thank you.

zcablii commented 1 year ago

If you using 4 GPUs, you can set norm_cfg=dict(type='SyncBN', requires_grad=True)

kobezy commented 1 year ago

After setting up what you said, using 4 GPUs for training still shows this error. How can I solve it? Thank you. The training command I use is: ./tools/dist_train.sh ./configs/lsknet/lsk_s_fpn_3x_hrsc_le90.py 4 Thank you

If you using 4 GPUs, you can set norm_cfg=dict(type='SyncBN', requires_grad=True)

After setting up what you said, using 4 GPUs for training still shows this error. How can I solve it? Thank you. The training command I use is: ./tools/dist_train.sh ./configs/lsknet/lsk_s_fpn_3x_hrsc_le90.py 4 Thank you

zcablii / LSKNet