AssertionError: wasserstein_nms miss in module _ext

[HuixinSun]

Describe the bug AssertionError: wasserstein_nms miss in module _ext

Error traceback

Traceback (most recent call last):
  File "tools/train.py", line 15, in <module>
    from mmdet.apis import set_random_seed, train_detector
  File "mmdet_nwd/lib/python3.7/site-packages/mmdet/apis/__init__.py", line 1, in <module>
    from .inference import (async_inference_detector, inference_detector,
  File "mmdet_nwd/lib/python3.7/site-packages/mmdet/apis/inference.py", line 6, in <module>
    from mmcv.ops import RoIPool
  File "mmdet_nwd/lib/python3.7/site-packages/mmcv/ops/__init__.py", line 24, in <module>
    from .nms import batched_nms, nms, nms_match, nms_rotated, soft_nms, wasserstein_nms, giou_nms, diou_nms, ciou_nms
  File "mmdet_nwd/lib/python3.7/site-packages/mmcv/ops/nms.py", line 10, in <module>
    '_ext', ['nms', 'softnms', 'nms_match', 'nms_rotated', 'wasserstein_nms', 'giou_nms', 'diou_nms', 'ciou_nms'])
  File "mmdet_nwd/lib/python3.7/site-packages/mmcv/utils/ext_loader.py", line 13, in load_ext
    assert hasattr(ext, fun), f'{fun} miss in module {name}'
AssertionError: wasserstein_nms miss in module _ext

Reproduction

1. What command or script did you run?

_base_ = [
    'faster_rcnn_r50_fpn.py',
    '../../configs/_base_/datasets/coco_detection.py',
    '../../configs/_base_/schedules/schedule_1x.py', 
    '../../configs/_base_/default_runtime.py'
]

model = dict(
    rpn_head=dict(
        reg_decoded_bbox=True,
        loss_bbox=dict(type='WassersteinLoss', loss_weight=10.0)),
    train_cfg=dict(
        rcnn=dict(
            assigner=dict(
                gpu_assign_thr=512)),
        rpn_proposal=dict(
            nms_pre=3000,
            max_per_img=3000,
            nms=dict(type='wasserstein_nms', iou_threshold=0.85)),
        rpn=dict(
            assigner=dict(
                gpu_assign_thr=512, 
                iou_calculator=dict(type='BboxDistanceMetric'),
                assign_metric='wasserstein'))),
    test_cfg=dict(
        rpn=dict(
            nms_pre=3000,
            max_per_img=3000,
            nms=dict(type='wasserstein_nms', iou_threshold=0.85),
            min_bbox_size=0)
        # soft-nms is also supported for rcnn testing
        # e.g., nms=dict(type='soft_nms', iou_threshold=0.5, min_score=0.05)
    ))

fp16 = dict(loss_scale=512.)

optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001)

# learning policy
checkpoint_config = dict(interval=4)
evaluation = dict(interval=12, metric='bbox')

2. Did you make any modifications on the code or config? Did you understand what you have modified? No

3. What dataset did you use? COCO

Environment

sys.platform: linux
Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: Tesla P40
CUDA_HOME: /home/work/cuda-10.1
NVCC: Cuda compilation tools, release 10.1, V10.1.105
GCC: gcc (GCC) 4.8.5
PyTorch: 1.5.0
PyTorch compiling details: PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc)
  - 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_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37
  - CuDNN 7.6.5
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_INTERNAL_THREADPOOL_IMPL -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-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -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, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=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_STATIC_DISPATCH=OFF, 

TorchVision: 0.6.0a0+82fd1c8
OpenCV: 4.5.5
MMCV: 1.3.9
MMCV Compiler: GCC 7.3
MMCV CUDA Compiler: 10.1
MMDetection: 2.11.0+

[HuixinSun]

Compile error.

[DragonPengg]

I have encountered the same problem. How did you solve it

[TechnicalNovice]

Compile error. May I ask how you resolved it in the end