- I’ve attempted an install of this repo: GitHub - sandipan211/ZSD-SC-Resolver: Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
- This work used a Linux environment, which I made every effort to reproduce under Windows:
PyTorch version: 1.1.0
Is debug build: False
CUDA used to build PyTorch: 9.0
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 10 Enterprise
GCC version: Could not collect
Clang version: Could not collect
CMake version: Could not collect
Libc version: N/A
Python version: 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.19041-SP0
Is CUDA available: True
CUDA runtime version: 10.2.89
GPU models and configuration: GPU 0: Quadro T2000
Nvidia driver version: 527.41
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: No
Versions of relevant libraries:
[pip3] numpy==1.21.5
[pip3] torch==1.1.0
[pip3] torchvision==0.3.0
[conda] blas 1.0 mkl
[conda] cudatoolkit 9.0 1
[conda] mkl 2021.4.0 haa95532_640
[conda] mkl-service 2.4.0 py37h2bbff1b_0
[conda] mkl_fft 1.3.1 py37h277e83a_0
[conda] mkl_random 1.2.2 py37hf11a4ad_0
[conda] numpy 1.21.5 py37h7a0a035_3
[conda] numpy-base 1.21.5 py37hca35cd5_3
[conda] pytorch 1.1.0 py3.7_cuda90_cudnn7_1 pytorch
[conda] torchvision 0.3.0 pypi_0 pypi
- Trying to run an example Jupyter notebook under the mmdetection/demo folder, with a basic image detection exercise, I keep reaching the dreaded “RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED” error:
~\Miniconda3\envs\zsd1\lib\site-packages\torch\nn\modules\conv.py in forward(self, input)
336 _pair(0), self.dilation, self.groups)
337 return F.conv2d(input, self.weight, self.bias, self.stride,
→ 338 self.padding, self.dilation, self.groups)
339
340
RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
- What might be some root causes of this issue? An obsolete cuDNN version? An unsupported GPU? Something else? Would so appreciate any ideas.