something wrong with my Alexnet
After you pass your input through your first convolutional layer it's size decreases from 32x32 to 6x6. This is then further decreased by the max pooling layer after that, which decreases the size from 6x6 to 3x3. It is then not possible to try and apply a second convolution with a kernal size of 11. You should therefore decrease your kernel size in the second layer (and probably also in the first convolutional layer).