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failed to install chainer with cuda 8.0 / cuDNN v6
See original GitHub issueHi,
I installed CUDA Toolkit 8.0 and cuDNN v6. I then tried to install chainer, but it failed with errors as below:
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setFilterNdDescriptor_v3(size_t, int, int, size_t, int)’:
cupy/cuda/cudnn.cpp:4203:177: error: ‘cudnnSetFilterNdDescriptor_v3’ was not declared in this scope
__pyx_v_status = cudnnSetFilterNdDescriptor_v3(((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((cudnnDataType_t)__pyx_v_dataType), __pyx_v_nbDims, ((int *)__pyx_v_filterDimA));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setFilter4dDescriptor_v4(size_t, int, int, int, int, int, int, int)’:
cupy/cuda/cudnn.cpp:4359:215: error: ‘cudnnSetFilter4dDescriptor_v4’ was not declared in this scope
__pyx_v_status = cudnnSetFilter4dDescriptor_v4(((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((cudnnDataType_t)__pyx_v_dataType), ((cudnnTensorFormat_t)__pyx_v_format), __pyx_v_k, __pyx_v_c, __pyx_v_h, __pyx_v_w);
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setFilterNdDescriptor_v4(size_t, int, int, int, size_t, int)’:
cupy/cuda/cudnn.cpp:4542:216: error: ‘cudnnSetFilterNdDescriptor_v4’ was not declared in this scope
__pyx_v_status = cudnnSetFilterNdDescriptor_v4(((cudnnFilterDescriptor_t)__pyx_v_filterDesc), ((cudnnDataType_t)__pyx_v_dataType), ((cudnnTensorFormat_t)__pyx_v_format), __pyx_v_nbDims, ((int *)__pyx_v_filterDimA));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_getFilterNdDescriptor(size_t, int, int)’:
cupy/cuda/cudnn.cpp:4729:202: error: ‘cudnnGetFilterNdDescriptor_v4’ was not declared in this scope
__pyx_v_status = cudnnGetFilterNdDescriptor_v4(((cudnnFilterDescriptor_t)__pyx_v_wDesc), __pyx_v_nbDimsRequested, (&__pyx_v_dataType), (&__pyx_v_format), (&__pyx_v_nbDims), (&(__pyx_v_filterDimA[0])));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setConvolution2dDescriptor_v4(size_t, int, int, int, int, int, int, int, int)’:
cupy/cuda/cudnn.cpp:5112:231: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
__pyx_v_status = cudnnSetConvolution2dDescriptor_v4(((cudnnConvolutionDescriptor_t)__pyx_v_convDesc), __pyx_v_pad_h, __pyx_v_pad_w, __pyx_v_u, __pyx_v_v, __pyx_v_upscalex, __pyx_v_upscaley, ((cudnnConvolutionMode_t)__pyx_v_mode));
^
In file included from cupy/cuda/cupy_cudnn.h:10:0,
from cupy/cuda/cudnn.cpp:481:
/usr/local/cuda/include/cudnn.h:500:27: note: declared here
cudnnStatus_t CUDNNWINAPI cudnnSetConvolution2dDescriptor( cudnnConvolutionDescriptor_t convDesc,
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setPooling2dDescriptor_v3(size_t, int, int, int, int, int, int, int, int)’:
cupy/cuda/cudnn.cpp:10226:279: error: ‘cudnnSetPooling2dDescriptor_v3’ was not declared in this scope
__pyx_v_status = cudnnSetPooling2dDescriptor_v3(((cudnnPoolingDescriptor_t)__pyx_v_poolingDesc), ((cudnnPoolingMode_t)__pyx_v_mode), __pyx_v_windowHeight, __pyx_v_windowWidth, __pyx_v_verticalPadding, __pyx_v_horizontalPadding, __pyx_v_verticalStride, __pyx_v_horizontalStride);
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setPooling2dDescriptor_v4(size_t, int, int, int, int, int, int, int, int, int)’:
cupy/cuda/cudnn.cpp:10418:330: error: ‘cudnnSetPooling2dDescriptor_v4’ was not declared in this scope
__pyx_v_status = cudnnSetPooling2dDescriptor_v4(((cudnnPoolingDescriptor_t)__pyx_v_poolingDesc), ((cudnnPoolingMode_t)__pyx_v_mode), ((cudnnNanPropagation_t)__pyx_v_maxpoolingNanOpt), __pyx_v_windowHeight, __pyx_v_windowWidth, __pyx_v_verticalPadding, __pyx_v_horizontalPadding, __pyx_v_verticalStride, __pyx_v_horizontalStride);
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setPoolingNdDescriptor_v3(size_t, int, int, size_t, size_t, size_t, int)’:
cupy/cuda/cudnn.cpp:10619:232: error: ‘cudnnSetPoolingNdDescriptor_v3’ was not declared in this scope
__pyx_v_status = cudnnSetPoolingNdDescriptor_v3(((cudnnPoolingDescriptor_t)__pyx_v_poolingDesc), ((cudnnPoolingMode_t)__pyx_v_mode), __pyx_v_nbDims, ((int *)__pyx_v_windowDimA), ((int *)__pyx_v_paddingA), ((int *)__pyx_v_strideA));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_setPoolingNdDescriptor_v4(size_t, int, int, int, size_t, size_t, size_t, int)’:
cupy/cuda/cudnn.cpp:10793:283: error: ‘cudnnSetPoolingNdDescriptor_v4’ was not declared in this scope
__pyx_v_status = cudnnSetPoolingNdDescriptor_v4(((cudnnPoolingDescriptor_t)__pyx_v_poolingDesc), ((cudnnPoolingMode_t)__pyx_v_mode), ((cudnnNanPropagation_t)__pyx_v_maxpoolingNanOpt), __pyx_v_nbDims, ((int *)__pyx_v_windowDimA), ((int *)__pyx_v_paddingA), ((int *)__pyx_v_strideA));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_activationForward_v3(size_t, int, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
cupy/cuda/cudnn.cpp:13483:313: error: ‘cudnnActivationForward_v3’ was not declared in this scope
__pyx_v_status = cudnnActivationForward_v3(((cudnnHandle_t)__pyx_v_handle), ((cudnnActivationMode_t)__pyx_v_mode), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_dstDesc), ((void *)__pyx_v_dstData));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_activationForward_v4(size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
cupy/cuda/cudnn.cpp:13708:329: error: ‘cudnnActivationForward_v4’ was not declared in this scope
__pyx_v_status = cudnnActivationForward_v4(((cudnnHandle_t)__pyx_v_handle), ((cudnnActivationDescriptor_t)__pyx_v_activationDesc), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_dstDesc), ((void *)__pyx_v_dstData));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_activationBackward_v3(size_t, int, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
cupy/cuda/cudnn.cpp:13933:476: error: ‘cudnnActivationBackward_v3’ was not declared in this scope
__pyx_v_status = cudnnActivationBackward_v3(((cudnnHandle_t)__pyx_v_handle), ((cudnnActivationMode_t)__pyx_v_mode), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((cudnnTensorDescriptor_t)__pyx_v_srcDiffDesc), ((void *)__pyx_v_srcDiffData), ((cudnnTensorDescriptor_t)__pyx_v_destDesc), ((void *)__pyx_v_destData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_destDiffDesc), ((void *)__pyx_v_destDiffData));
^
cupy/cuda/cudnn.cpp: In function ‘PyObject* __pyx_f_4cupy_4cuda_5cudnn_activationBackward_v4(size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t, int)’:
cupy/cuda/cudnn.cpp:14194:492: error: ‘cudnnActivationBackward_v4’ was not declared in this scope
__pyx_v_status = cudnnActivationBackward_v4(((cudnnHandle_t)__pyx_v_handle), ((cudnnActivationDescriptor_t)__pyx_v_activationDesc), ((void *)__pyx_v_alpha), ((cudnnTensorDescriptor_t)__pyx_v_srcDesc), ((void *)__pyx_v_srcData), ((cudnnTensorDescriptor_t)__pyx_v_srcDiffDesc), ((void *)__pyx_v_srcDiffData), ((cudnnTensorDescriptor_t)__pyx_v_destDesc), ((void *)__pyx_v_destData), ((void *)__pyx_v_beta), ((cudnnTensorDescriptor_t)__pyx_v_destDiffDesc), ((void *)__pyx_v_destDiffData));
^
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
error
Cleaning up...
Removing source in /tmp/pip-build-pXxzLQ/chainer
Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-pXxzLQ/chainer/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-U6dnBU-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-pXxzLQ/chainer/
What should I do next? Thank you very much in advance!
Issue Analytics
- State:
- Created 6 years ago
- Comments:10 (3 by maintainers)
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cudnn v6 is supported in the master branch and will be availabel in the next version v1.23.0. See #2478. If you want to use v1.22.0 that is the latest stable version in pipy, use cudnn v5.1.
Can not found libcudnn.so.5 I have set my LD_LIBRARY_PATH and ldconfig of libcudnn.so path