keras: Invalid value ("cpu") for configuration variable "gpu". Valid options start with one of "device", "opencl", "cuda"

When I try to run this command “import keras” I got this error:

Invalid value (“cpu”) for configuration variable “gpu”. Valid options start with one of “device”, “opencl”, “cuda”

Both Keras and Theano are updated to the latest version.

Here is THEANO_FlAGS env variable: “floatX=float32,device=gpu,nvcc.fastmath=True,lib.cnmem=0.6,nvcc.flags=-D_FORCE_INLINES”

I also tried “device=cuda” and “device=cuda0” now I’m getting this error:

C:\Users\Ibrahim Amer\Anaconda\lib\site-packages\theano\configdefaults.py:1711: UserWarning: Theano does not recognise this flag: lib.cnmem warnings.warn(‘Theano does not recognise this flag: {0}’.format(key)) C:\Users\Ibrahim Amer\Anaconda\lib\site-packages\theano\configdefaults.py:1711: UserWarning: Theano does not recognise this flag: nvcc.fastmath warnings.warn(‘Theano does not recognise this flag: {0}’.format(key)) C:\Users\Ibrahim Amer\Anaconda\lib\site-packages\theano\configdefaults.py:1711: UserWarning: Theano does not recognise this flag: nvcc.flags warnings.warn(‘Theano does not recognise this flag: {0}’.format(key)) ERROR (theano.gpuarray): Could not initialize pygpu, support disabled Traceback (most recent call last): File “C:\Users\Ibrahim Amer\Anaconda\lib\site-packages\theano\gpuarray_init _.py”, line 175, in <module> use(config.device) File “C:\Users\Ibrahim Amer\Anaconda\lib\site-packages\theano\gpuarray_init _.py”, line 162, in use init_dev(device, preallocate=preallocate) File “C:\Users\Ibrahim Amer\Anaconda\lib\site-packages\theano\gpuarray_init _.py”, line 65, in init_dev sched=config.gpuarray.sched) File “pygpu\gpuarray.pyx”, line 614, in pygpu.gpuarray.init (pygpu/gpuarray.c: 9415) File “pygpu\gpuarray.pyx”, line 566, in pygpu.gpuarray.pygpu_init (pygpu/gpuar ray.c:9106) File “pygpu\gpuarray.pyx”, line 1021, in pygpu.gpuarray.GpuContext.cinit ( pygpu/gpuarray.c:13468) GpuArrayException: Error loading library: 0

When I try to run this code I get “used the cpu”:

`vlen = 10 * 30 * 768 # 10 x #cores x # threads per core iters = 1000

rng = numpy.random.RandomState(22) x = shared(numpy.asarray(rng.rand(vlen), config.floatX)) f = function([], tensor.exp(x)) print(f.maker.fgraph.toposort()) t0 = time.time() for i in range(iters): r = f() t1 = time.time() print(“Looping %d times took %f seconds” % (iters, t1 - t0)) print(“Result is %s” % (r,)) if numpy.any([isinstance(x.op, tensor.Elemwise) and (‘Gpu’ not in type(x.op).name) for x in f.maker.fgraph.toposort()]): print(‘Used the cpu’) else: print(‘Used the gpu’)`

Windows 7, NVIDIA 1060 6GB CUDA 7.5 Graphics Driver: 378.92