tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543469438
> You might want to head over to the discuss forum. 0.10.0 isn't supported
anymore but maybe the use case you want can be done in a later
tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543166819
> Quick question, but is there a specific reason you're using 0.10.0? We
already released 1.5.1.
I want to use FGFA(Flow Guided Feature
tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543093915
then , I set use_cudnn = 0
cd python
python setup.py install
then
`import mxnet`
then
` File "", line 1, in
File
tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543070162
> `make -j8 > build.log 2>&1`
>
> then
>
> `src/operator/./cudnn_rnn-inl.h(435): error: argument of type
"cudnnRNNDescriptor_t"
tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543068059
> > `make -j8 USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1
USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 > build.log 2>&1`
> > then :
> >
tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543021580
> `make -j8 USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1
USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 > build.log 2>&1`
>
> then :
>
>
tianlanli commented on issue #16516: mxnet 0.10.0 compile fail
URL:
https://github.com/apache/incubator-mxnet/issues/16516#issuecomment-543016458
> `make -j8 USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1
USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 > build.log 2>&1`
>
> then :
>
>
