[Bug] module 'numpy' has no attribute 'long'

[ClementLeBihan]

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 (dev-1.x) or latest version (dev-1.0).

Task

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

Branch

main branch https://github.com/open-mmlab/mmdetection3d

Environment

sys.platform: linux Python: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA RTX A3000 Laptop GPU CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.11.0 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 v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e)
• OpenMP 201511 (a.k.a. OpenMP 4.5)
• LAPACK is enabled (usually provided by MKL)
• NNPACK is enabled
• CPU capability usage: AVX2
• CUDA Runtime 11.3
• 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 8.2
• Magma 2.5.2
• Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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 -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -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-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=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF,

TorchVision: 0.12.0 OpenCV: 4.8.1 MMEngine: 0.10.1 MMDetection: 3.2.0 MMDetection3D: 1.3.0+ spconv2.0: False

Reproduces the problem - code sample

python tools/train.py configs/benchmark/hv_pointpillars_secfpn_3x8_100e_det3d_kitti-3d-car.py

Reproduces the problem - command or script

python tools/train.py configs/benchmark/hv_pointpillars_secfpn_3x8_100e_det3d_kitti-3d-car.py

Reproduces the problem - error message

Original Traceback (most recent call last): File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/opt/conda/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/opt/conda/lib/python3.8/site-packages/mmengine/dataset/dataset_wrapper.py", line 290, in getitem return self.dataset[sample_idx] File "/opt/conda/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 410, in getitem data = self.prepare_data(idx) File "/mmdetection3d/mmdet3d/datasets/det3d_dataset.py", line 386, in prepare_data example = self.pipeline(input_dict) File "/opt/conda/lib/python3.8/site-packages/mmengine/dataset/base_dataset.py", line 60, in call data = t(data) File "/opt/conda/lib/python3.8/site-packages/mmcv/transforms/base.py", line 12, in call return self.transform(results) File "/mmdetection3d/mmdet3d/datasets/transforms/transforms_3d.py", line 424, in transform sampled_dict = self.db_sampler.sample_all( File "/mmdetection3d/mmdet3d/datasets/transforms/dbsampler.py", line 283, in sample_all dtype=np.long) File "/opt/conda/lib/python3.8/site-packages/numpy/init.py", line 320, in getattr raise AttributeError("module {!r} has no attribute " AttributeError: module 'numpy' has no attribute 'long'

Additional information

I'm using the default dockerfile. Adding pip install numpy==1.22 solve the problem.

[yangfengyuan1]

i meet the same problem, have you solved?

[AbdelrahmanAbdeldaim]

pip install --upgrade numba solved the problem for me. @yangfengyuan1

[xiaowang968]

pip install numba==0.55.2 solved the problem for me.