theano.gof.opt.LocalMetaOptimizerSkipAssertionError: AbstractConv2d Theano optimization failed: there is no implementation available supporting the requested options. Did you exclude both "conv_dnn" and "conv_gemm" from the optimizer? If on GPU, is cuDNN available and does the GPU support it? If on CPU, do you have a BLAS library installed Theano can link against? On the CPU we do not support float16.
Can you explain this issue.
I built my project in windows 10 x64 bit on the CPU
I got the following error on trying to train with my own data. I followed the instructions in README.md .
ERROR (theano.gof.opt): Optimization failure due to: local_abstractconv_check ERROR (theano.gof.opt): node: AbstractConv2d{convdim=2, border_mode='half', subsample=(2, 2), filter_flip=True, imshp=(None, 1, 256, 512), kshp=(64, 1, 7, 7), filter_dilation=(1, 1), num_groups=1, unshared=False}(input, W) ERROR (theano.gof.opt): TRACEBACK: ERROR (theano.gof.opt): Traceback (most recent call last):
theano.gof.opt.LocalMetaOptimizerSkipAssertionError: AbstractConv2d Theano optimization failed: there is no implementation available supporting the requested options. Did you exclude both "conv_dnn" and "conv_gemm" from the optimizer? If on GPU, is cuDNN available and does the GPU support it? If on CPU, do you have a BLAS library installed Theano can link against? On the CPU we do not support float16.
Can you explain this issue. I built my project in windows 10 x64 bit on the CPU