Caffe误差测试

Question

我已经把cudnn和cuda安装在ubuntu里了，我

使所有的-j4

在caffe目录下，它通过得很好。但当我

做试验

它显示：

CXX src/caffe/test/test_im2col_layer.cpp
In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from src/caffe/test/test_im2col_layer.cpp:5:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from src/caffe/test/test_im2col_layer.cpp:5:
/usr/local/cuda/include/cudnn.h:799:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
Makefile:572: recipe for target '.build_release/src/caffe/test/test_im2col_layer.o' failed
make: *** [.build_release/src/caffe/test/test_im2col_layer.o] Error 1

我安装了最新版本的cudnn(用于linux的cudnn v5库)和cuda(cuda7.5)。有人能告诉我怎么解决这个问题吗？非常感谢!

Answer 1

CuDNN v5与caffe不兼容。您可以尝试创建一个分叉并将其合并为：https://github.com/BVLC/caffe/pull/3919/files，但它不受官方支持。

Answer 2

请注意，最新的Caffe (2016年11月8日)指出，它支持数据自动化系统7+。

不过，我仍然需要解决这个问题，因为我使用了连接到更快的回购的一个旧的caffe分支。我正在升级它以支持CUDNN 5和CUDA 8。请注意，我不是Caffe专家，但是所有的测试都在我成功编译之后成功运行。

对于签名似乎已经更改的方法，我发现也存在_v3和_v4等效项(对我来说，我查看了/usr/local/cuda/include/cudnn.h)。我改变了失败的方法

出发地: CUDNN_CHECK(cudnnSetPooling2dDescriptor(*pool_desc，*模式，h，w，

致: CUDNN_CHECK(cudnnSetPooling2dDescriptor_v3(*pool_desc，*模式，h，w，4.src/caffe/层/cudnn_conv_layer.cu

我需要在以下文件中做类似的事情：

1. src/caffe/layers/cudnn_sigmoid_layer.cu
2. src/caffe/layers/cudnn_relu_layer.cu
3. src/caffe/layers/cudnn_conv_layer.cu
4. src/caffe/layers/cudnn_tanh_layer.cu

希望这对你也有帮助！

Answer 3

试试make clean -> make all -> make test -> make runtest。如果有权限错误，请使用sudo。