Theano: I have set devices=cuda0, but the program still use cpu

[tswc]

I am using CPU: AMD 8320 GPU: GTX 750 TI
python 2.7 theano 0.9.0 cuda v8.0

I have set .theanorc.txt as follow.

[global]
openmp=False  
device = cuda0

floatX = float32  
allow_input_downcast=True  
[blas]
ldflags=  
[gcc]
cxxflags=-IC:\ProgramData\Anaconda2\MinGW
[nvcc]
flags = -LC:\ProgramData\Anaconda2\libs
compiler_bindir = C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin
fastmath = True  


[cuda]
root = C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0

[dnn]
library_path = C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\lib\x64
include_path = C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include
enabled = True

But when I test if I am using GPU, that sill shows that I am using CPU. But there are no errors.
So I have no idea where is wrong.

Using cuDNN version 5110 on context None
Mapped name None to device cuda0: GeForce GTX 750 Ti (0000:01:00.0)
[GpuElemwise{exp,no_inplace}(<GpuArrayType<None>(float32, vector)>), HostFromGpu(gpuarray)(GpuElemwise{exp,no_inplace}.0)]
Looping 1000 times took 0.879000 seconds
Result is [ 1.23178029  1.61879349  1.52278066 ...,  2.20771813  2.29967761
  1.62323296]
Used the cpu

Can someone help me!?

[lamblin]

The script you are using to test does not seem to detect GPU usage correctly.
In fact, since it prints GpuElemwise{exp,no_inplace}(<GpuArrayType<None>(float32, vector)>), you can be sure that it actually is using the GPU.
Are you using the latest version of the script at http://deeplearning.net/software/theano/tutorial/using_gpu.html#testing-theano-with-gpu ?

[tswc]

Thats really helpful!!!!!!!!!!
Thanks!

C:\ProgramData\Anaconda2\python.exe "C:/Users/TSWC/Google Drive/FA/Python_101/testgpu.py"
Using cuDNN version 5110 on context None
Mapped name None to device cuda0: GeForce GTX 750 Ti (0000:01:00.0)
[GpuElemwise{exp,no_inplace}(<GpuArrayType<None>(float32, (False,))>), HostFromGpu(gpuarray)(GpuElemwise{exp,no_inplace}.0)]
Looping 1000 times took 1.069000 seconds
Result is [ 1.23178029  1.61879349  1.52278066 ...,  2.20771813  2.29967761
  1.62323296]
Used the gpu

Process finished with exit code 0