facebookresearch / Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
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caffe2 gpu build unsuccesful #901

Open Manojkumarjala opened 5 years ago

Manojkumarjala commented 5 years ago

Expected results

greater than 0

Actual results

0 cuda_1

Detailed steps to reproduce

after installing caffe2 tried command python -c 'from caffe2.python import workspace; print(workspace.NumCudaDevices())'

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 2890 G /usr/lib/xorg/Xorg 47MiB | | 0 3104 G /usr/bin/gnome-shell 6MiB | +-----------------------------------------------------------------------------+

i installed caffe2 using command " conda install pytorch-nightly-cpu -c pytorch "

even though I installed the gpu build of caffe2 but the output for below command shows 0 'python -c 'from caffe2.python import workspace; print(workspace.NumCudaDevices())' 0

unable to proceed forward.

additional info: 1.)i am using anaconda virtual environment 2.)installed all the programs on server with we(interns) get connected through ethernet port

after installing caffe2 it is present in the following location: anaconda/envs/pyth27/lib/python2.7/site-packages/caffe2

bamwani commented 4 years ago

I'm facing the same issue. Did you find a solution?