Hello folks,
I have a GTX 1070 card and have installed CUDA, Theano and Keras. However, when within python 2.7 when I import keras it says:
import keras
Using Theano backend
Using gpu device 0: GeForce GTX 1070 (CNMem is enabled with initial size 95.0% of memory, cuDNN 5005)
Then I immediately get a source listing from an attempted nvcc compilation with 620 numbered source statements and then
nvcc fatal : Value ‘sm_61’ is not defined for option ‘gpu-architecture’
followed by a detailed nvcc command with tons of options and compiler settings, followed by a python traceback - approx 40 lines or so.
Finally:
Exception: (‘The following error happened while compiling the node’,
GpuCAReduce{add} {1} {<CudaNdarrayType(float32, vector)>), ‘\n’, ‘nvcc return status’ 1, ‘for cond’, 'nvcc -shaerd -O3 -use_fast_math … yada, yada, yada
I would appreciate any help available. I’m not sure why an import of keras results in a compilation attempt. I would have thought that with Cuda installed and Theanos also installed, that Keras would have just verified their work and thence used API calls. Compilation???
Thanks,
Arthur Sera