You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
What steps will reproduce the problem?
1. Simply add a cost.sum2 layer into the layer definition
2. Run it
3.
What is the expected output? What do you see instead?
It crashed and said:
python: src/nvmatrix.cu:738: bool NVMatrix::resize(int, int, bool): Assertion
`_ownsData || (_numElements == numRows * numCols && isContiguous())' failed.
Error signal 6:
What version of the product are you using? On what operating system?
Latest cuda-convnet2 + Titan + CUDA 5.5 + Ubuntu 12.04
Please provide any additional information below.
To reproduce the problem, download the attached layer definition (reg.cfg and
reg-params.cfg) and test it with command:
python convnet.py --data-path=. --save-path=./tmp --test-range=1
--train-range=1 --layer-def=layers/reg-ori.cfg
--layer-params=layers/reg-params.cfg --data-provider=dummy-labeled-1 --gpu=0
It seems that getAct() of the sum2 layer will produce a 0*128 matrix and thus
cause the error.
Original issue reported on code.google.com by Phil....@gmail.com on 8 Aug 2014 at 12:42
Original issue reported on code.google.com by
Phil....@gmail.com
on 8 Aug 2014 at 12:42Attachments:
The text was updated successfully, but these errors were encountered: