在Ubuntu 14.04尝试使用GPU运行mnielsen的样例代码 src/network3.py
https://github.com/mnielsen/n...
时报错Cublas error
调用代码是

import network3 from network3 import Network from network3 import ConvPoolLayer,FullyConnectedLayer,SoftmaxLayer traning_data,validation_data,test_data=network3.load_data_shared() expanded_training_data,_,_=network3.load_data_shared() mini_batch_size=10 net=Network([ ConvPoolLayer(image_shape=(mini_batch_size,1,28,28), filter_shape=(20,1,5,5), poolsize=(2,2) ), ConvPoolLayer(image_shape=(mini_batch_size,20,12,12), filter_shape=(40,20,5,5), poolsize=(2,2) ), FullyConnectedLayer(n_in=40*4*4,n_out=100), FullyConnectedLayer(n_in=100,n_out=100), SoftmaxLayer(n_in=100,n_out=10)],mini_batch_size) net.SGD(expanded_training_data,40,mini_batch_size,0.03,validation_data, test_data)

运行结果是

RuntimeError: GpuCorrMM encountered a CUBLAS error: the library was not initialized This could be a known bug in CUDA, please see the GpuCorrMM() documentation.

theanorc的配置是

[global] openmp=False floatX=float32 device=gpu allow_input_downcast=True [blas] ldflags=-lopenblas [nvcc] flags=-LC:/home/fang/anaconda2/lib fastmath=True [cuda] root=/usr/local/cuda-8.0

GPU使用的是Nvidia GeForce GTX 460
其它环境分别是cuda 8.0, theano 0.8.2, 使用的调试平台是eclipse pydev
这个问题困扰很久了，查了很多资料也没有解决，第一次上来提问，希望能得到解决，谢谢！