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If your issue looks like an installation issue / environment issue,
please first check common issues in https://detectron2.readthedocs.io/tutorials/install.html#common-installation-issues
The text was updated successfully, but these errors were encountered:
aymanaboghonim
changed the title
Please read & provide the following
coco_evaluation: No predictions from the model!
Nov 7, 2023
If you do not know the root cause of the problem, please post according to this template:
Instructions To Reproduce the Issue:
Check https://stackoverflow.com/help/minimal-reproducible-example for how to ask good questions.
Simplify the steps to reproduce the issue using suggestions from the above link, and provide them below:
cuobjdump info : File '/home/jupyter/detectron2/point_rend/detectron2-main/detectron2/_C.cpython-38-x86_64-linux-gnu.so' does not contain device code
sys.platform linux
Python 3.8.18 | packaged by conda-forge | (default, Oct 10 2023, 15:44:36) [GCC 12.3.0]
numpy 1.24.3
detectron2 0.6 @/home/jupyter/detectron2/point_rend/detectron2-main/detectron2
detectron2._C not built correctly: /home/jupyter/detectron2/point_rend/detectron2-main/detectron2/_C.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZNK2at6Tensor7reshapeEN3c108ArrayRefIlEE
Compiler ($CXX) c++ (Debian 8.3.0-6) 8.3.0
CUDA compiler Build cuda_11.3.r11.3/compiler.29920130_0
detectron2 arch flags /home/jupyter/detectron2/point_rend/detectron2-main/detectron2/_C.cpython-38-x86_64-linux-gnu.so
DETECTRON2_ENV_MODULE
PyTorch 1.13.1+cu116 @/opt/conda/envs/detectron2/lib/python3.8/site-packages/torch
PyTorch debug build False
torch._C._GLIBCXX_USE_CXX11_ABI False
GPU available Yes
GPU 0 Tesla T4 (arch=7.5)
Driver version 510.47.03
CUDA_HOME /usr/local/cuda
Pillow 9.5.0
torchvision 0.14.1+cu116 @/opt/conda/envs/detectron2/lib/python3.8/site-packages/torchvision
torchvision arch flags 3.5, 5.0, 6.0, 7.0, 7.5, 8.0, 8.6
fvcore 0.1.5.post20221221
iopath 0.1.9
cv2 4.8.1
PyTorch built with:
The text was updated successfully, but these errors were encountered: