error when building the cython modules about faster-rcnn_tf

[sukritshankar]

Setting the following should make it work (it worked at least for me)
(1) export PATH=$PATH:/usr/local/cuda-8.0/bin/ (or your corresponding cuda path) for your terminal
(2) In make.sh file inside lib directory, do CXXFLAGS='-D_MWAITXINTRIN_H_INCLUDED'

[smallcorgi]

Do you install the cuda or add cuda path in your bashrc?

[jiangyuguang]

@gy1874
how do u add cuda path in your bashrc?
i try ,but failed again .
thanks

[hzy46]

The same issue.

I'm sure I have added the cuda path into ~/.bashrc. Is it caused by the different versions of cuda and cuDNN? Mine is cuda 7.5 and cudnn v4.0. @smallcorgi

[hzy46]

Oh, I have fixed this problem. You should not only add "/usr/local/cuda" but also "/usr/local/cuda-7.5/bin" into your $PATH. @jiangyuguang @gy1874

[StevenJames1]

@hzy46 ,I add all path into /.bashrc as you say,but no works,can you give me some helps?
thanks very much!
the information as follows：
maheng@master:/code/Faster-RCNN_TF-master/lib$ make
python setup.py build_ext --inplace
running build_ext
skipping 'utils/bbox.c' Cython extension (up-to-date)
skipping 'utils/nms.c' Cython extension (up-to-date)
skipping 'nms/cpu_nms.c' Cython extension (up-to-date)
skipping 'nms/gpu_nms.cpp' Cython extension (up-to-date)
rm -rf build
sh make.sh
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally
/usr/local/lib/python2.7/dist-packages/tensorflow/include
/usr/lib/gcc/x86_64-linux-gnu/5/include/mwaitxintrin.h(36): error: identifier "__builtin_ia32_monitorx" is undefined

/usr/lib/gcc/x86_64-linux-gnu/5/include/mwaitxintrin.h(42): error: identifier "__builtin_ia32_mwaitx" is undefined

2 errors detected in the compilation of "/tmp/tmpxft_0000087c_00000000-7_roi_pooling_op_gpu.cu.cpp1.ii".
g++: error: roi_pooling_op.cu.o: No such file or directory

[StevenJames1]

@CharlesShang @smallcorgi Could you help me solve this error? Thanks s lot

[CharlesShang]

I think the cython is ok.

2 errors detected in the compilation of "/tmp/tmpxft_0000087c_00000000-7_roi_pooling_op_gpu.cu.cpp1.ii".
g++: error: roi_pooling_op.cu.o: No such file or directory

It means this line below in make.sh

nvcc -std=c++11 -c -o roi_pooling_op.cu.o roi_pooling_op_gpu.cu.cc \
    -I $TF_INC -D GOOGLE_CUDA=1 -x cu -Xcompiler -fPIC -arch=sm_52

failed to generate roi_pooling_op.cu.o. So you need to

• Check cuda settings

If your system is ubuntu (above 14.04), you can add cuda.conf file under /etc/ld.so.conf.d/

modify when needed

sudo sh -c 'echo "/usr/local/cuda/lib64" > /etc/ld.so.conf.d/cuda.conf'
sudo ldconfig

Hope this works for you

[StevenJames1]

@CharlesShang thanks a lot , I add a -D_MWAITXINTRIN_H_INCLUDED option fix the issue. , and my version of TensorFlow is 0.8 and CUDA 7.5 and GCC 5.2.1.

But when I run the demo as follow, I meet another error. I have already download the VGGnet and put it in the Faster-RCNN_TF-master directory. Is not my tensorflow version is too low?

maheng@master:~/code/Faster-RCNN_TF-master$ python ./tools/demo.py --model VGGnet_fast_rcnn_iter_70000.ckpt
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:105] successfully opened CUDA library libcurand.so locally
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:
name: GeForce GTX 750 Ti
major: 5 minor: 0 memoryClockRate (GHz) 1.189
pciBusID 0000:01:00.0
Total memory: 1.95GiB
Free memory: 1.76GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:755] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 750 Ti, pci bus id: 0000:01:00.0)
Tensor("Placeholder:0", shape=(?, ?, ?, 3), dtype=float32)
Tensor("conv5_3/conv5_3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_conv/3x3/rpn_conv/3x3:0", shape=(?, ?, ?, 512), dtype=float32)
Tensor("rpn_cls_score/rpn_cls_score:0", shape=(?, ?, ?, 18), dtype=float32)
Traceback (most recent call last):
File "./tools/demo.py", line 114, in
net = get_network(args.demo_net)
File "/home/maheng/code/Faster-RCNN_TF-master/tools/../lib/networks/factory.py", line 28, in get_network
return networks.VGGnet_test()
File "/home/maheng/code/Faster-RCNN_TF-master/tools/../lib/networks/VGGnet_test.py", line 16, in init
self.setup()
File "/home/maheng/code/Faster-RCNN_TF-master/tools/../lib/networks/VGGnet_test.py", line 46, in setup
.reshape_layer(2,name = 'rpn_cls_score_reshape')
File "/home/maheng/code/Faster-RCNN_TF-master/tools/../lib/networks/network.py", line 25, in layer_decorated
layer_output = op(self, layer_input, _args, _kwargs)
File "/home/maheng/code/Faster-RCNN_TF-master/tools/../lib/networks/network.py", line 206, in reshape_layer
int(d),tf.cast(tf.cast(input_shape[1],tf.float32)(tf.cast(input_shape[3],tf.float32)/tf.cast(d,tf.float32)),tf.int32),input_shape[2]]),[0,2,3,1],name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 1092, in reshape
name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 411, in apply_op
as_ref=input_arg.is_ref)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 566, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/constant_op.py", line 179, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/constant_op.py", line 162, in constant
tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 332, in make_tensor_proto
_AssertCompatible(values, dtype)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 272, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).name))
TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

[CharlesShang]

Maybe it's your version is too low. You can try a higher version.
Also I dont think your GTX 750 Ti has enough memory. As I remember the least mem is 3GB

[StevenJames1]

thanks for your trouble

[jiangyuguang]

thanks, i will try again. @hzy46

[BingShaw]

@StevenJames1 Can you tell me how to "add a -D_MWAITXINTRIN_H_INCLUDED option", please? Your problem have been solved completely?

[lyrgwlr]

@StevenJames1
Have you solved the 'TypeError:Expected int32, got list containing Tensors of type '_Message' instead.' problem?I met the same error like you.Please help me!!!