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Error during test_spatial_narrow_as_op.py while installing

See original GitHub issue

System information

Operating system: Ubuntu 16.04.3 LTS
Compiler version: gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.5)
CUDA version: CUDA 8.0
cuDNN version: cuDNN 6.0
NVIDIA driver version: nvidia-387
GPU models (for all devices if they are not all the same): Titan X
PYTHONPATH environment variable: /usr/local/lib/python2.7
python --version output: Python 2.7.12

Hi,

I’ve been trying to install detectron in my machine. After following all steps required in install.md I check te installation by running python2 $DETECTRON/tests/test_spatial_narrow_as_op.py. And I get the following error:

ERROR: test_large_forward (main.SpatialNarrowAsOpTest)

Traceback (most recent call last): File “test_spatial_narrow_as_op.py”, line 68, in test_large_forward self._run_test(A, B) File “test_spatial_narrow_as_op.py”, line 37, in _run_test workspace.FeedBlob(‘A’, A) File “/usr/local/caffe2/python/workspace.py”, line 322, in FeedBlob return C.feed_blob(name, arr, StringifyProto(device_option)) RuntimeError: [enforce fail at common_cudnn.h:118] version_match. cuDNN compiled (7005) and runtime (7003) versions mismatch

Could anyone help me to figure out what is wrong with the installation?

Issue Analytics

State:
Created 6 years ago
Comments:12 (1 by maintainers)

Top GitHub Comments

4reactions

ambigus9commented, Apr 3, 2018

Hi, I install Caffe2 from Anaconda Pre-build Binaries with CUDA 8.0 and cuDNN 7.1.2 and got this error:

RuntimeError: [enforce fail at common_cudnn.h:118] version_match. cuDNN compiled (7101) and runtime (7102) versions mismatch

How can I “uninstall” or use the same version? I tried

sudo dpkg -i libcudnn7_7.1.1.5-1+cuda8.0_amd64.deb sudo dpkg -i libcudnn7-dev_7.1.1.5-1+cuda8.0_amd64.deb

and also,

tar -xzvf cudnn-8.0-linux-x64-v7.1.tgz

sudo cp cuda/include/cudnn.h /usr/local/cuda/include
sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

But doesn’t work

3reactions

lupottocommented, Apr 21, 2018

Hi guys,

As @ambigus9 said I solved the problem using Docker. I tried everything and I didn’t find out any other solution with the mismatch of versions.

I explain the steps that I followed if someone is not familiar with docker

1. Install docker. (https://docs.docker.com/install/) 2. Install nvidia-docker (https://github.com/NVIDIA/nvidia-docker) 3. Follow the steps of (https://github.com/facebookresearch/Detectron/blob/master/INSTALL.md) 3.1 Clone repo 3.2 Install docker image & run the test image 4. After that, start the container associated with the image: sudo nvidia-docker container run --rm -it detectron:c2-cuda9-cudnn7 bash 5. Now, inside the container you can run the demo: python2 tools/infer_simple.py
–cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml
–output-dir /tmp/detectron-visualizations
–image-ext jpg
–wts https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl
demo