RuntimeError: nms is not compiled with GPU support

[ZHEGG]

I try to install this environment and skip the line[26:] which is responding to tp&east postprocessing and wrap-ctc module but a new error occur and I found my MMCV CUDA Compiler: not available, the log is below

2023-01-29 15:11:37,122 - davarocr - INFO - Environment info:

sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True GPU 0: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 10.2, V10.2.89 GCC: gcc (GCC) 7.3.0 PyTorch: 1.8.2+cu102 PyTorch compiling details: PyTorch built with:

• GCC 7.3
• C++ Version: 201402
• Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 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 10.2
• 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_70,code=sm_70
• CuDNN 7.6.5
• Magma 2.5.2
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, 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=1.8.2, 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,

TorchVision: 0.9.2+cu102 OpenCV: 4.7.0 MMCV: 1.3.4 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: not available DAVAROCR: 0.6.0+49614e4

and then

Traceback (most recent call last): File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/pydevd.py", line 3489, in main() File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main globals = debugger.run(setup['file'], None, None, is_module) File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run return self._exec(is_module, entry_point_fn, module_name, file, globals, locals) File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec globals = pydevd_runpy.run_path(file, globals, 'main') File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 322, in run_path pkg_name=pkg_name, script_name=fname) File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 136, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "/home/zhenghuapeng/.vscode-server/extensions/ms-python.python-2022.20.2/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code exec(code, run_globals) File "tools/train.py", line 255, in main() File "tools/train.py", line 251, in main meta=meta) File "/home/zhenghuapeng/wubianzhe/DAVAR-Lab-OCR/davarocr/davar_common/apis/train.py", line 180, in train_model runner.run(data_loaders, cfg.workflow) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 125, in run epoch_runner(data_loaders[i], **kwargs) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 50, in train self.run_iter(data_batch, train_mode=True, **kwargs) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 30, in run_iter **kwargs) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/parallel/distributed.py", line 51, in train_step output = self.module.train_step(*inputs[0], **kwargs[0]) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmdet/models/detectors/base.py", line 247, in train_step losses = self(**data) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 95, in new_func return old_func(*args, **kwargs) File "/home/zhenghuapeng/wubianzhe/DAVAR-Lab-OCR/davarocr/davar_spotting/models/spotters/base/base.py", line 68, in forward return self.forward_train(img, img_metas, **kwargs) File "/home/zhenghuapeng/wubianzhe/DAVAR-Lab-OCR/davarocr/davar_ie/models/infor_extrators/trie/trie.py", line 192, in forward_train proposal_cfg=proposal_cfg) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmdet/models/dense_heads/base_dense_head.py", line 58, in forward_train proposal_list = self.get_bboxes(*outs, img_metas, cfg=proposal_cfg) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/runner/fp16_utils.py", line 182, in new_func return old_func(*args, **kwargs) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmdet/models/dense_heads/anchor_head.py", line 582, in get_bboxes scale_factors, cfg, rescale) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmdet/models/dense_heads/rpn_head.py", line 234, in get_bboxes cfg.nms) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/ops/nms.py", line 279, in batched_nms dets, keep = nms_op(boxes_for_nms, scores, **nms_cfg) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/utils/misc.py", line 310, in new_func output = old_func(*args, **kwargs) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/ops/nms.py", line 144, in nms inds = NMSop.apply(boxes, scores, iou_threshold, offset) File "/home/zhenghuapeng/anaconda3/envs/davar/lib/python3.7/site-packages/mmcv/ops/nms.py", line 20, in forward bboxes, scores, iou_threshold=float(iou_threshold), offset=offset) RuntimeError: nms is not compiled with GPU support

I dont know how to solve it, please help, thanks!