How to solve this problem about compile?

[longmalongma]

i am facing this error when i compile "tf_conv3p_compile_.sh". kindly guide me if i am doing something wrong?

$chmod a+x * $ ./tf_conv3p_compile_.sh /home/sarshad/.local/lib/python3.5/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). gcc: error: .cu: No such file or directory gcc: warning: ‘-x c++’ after last input file has no effect gcc: fatal error: no input files compilation terminated. g++: error: .cpp: No such file or directory g++: fatal error: no input files compilation terminated. g++: error: .cpp: No such file or directory g++: fatal error: no input files compilation terminated. In file included from /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/platform/mutex.h:31:0, from /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/framework/op.h:32, from tf_conv3p_grid.cpp:1: /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/platform/default/mutex.h:25:22: fatal error: nsync_cv.h: No such file or directory compilation terminated. nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). In file included from /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/platform/mutex.h:31:0, from /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/framework/op.h:32, from tf_conv3p_naive_ctxmem.cu:1: /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/platform/default/mutex.h:25:22: fatal error: nsync_cv.h: No such file or directory compilation terminated. In file included from /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/platform/mutex.h:31:0, from /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/framework/op.h:32, from register_op.cpp:1: /usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow/core/platform/default/mutex.h:25:22: fatal error: nsync_cv.h: No such file or directory compilation terminated. g++: error: tf_conv3p.so_cuda.o: No such file or directory g++: error: tf_conv3p.so_cpu.o: No such file or directory rm: cannot remove 'tf_conv3p.so_cpu.o': No such file or directory rm: cannot remove 'tf_conv3p.so_cuda.o': No such file or directory

[songuke]

What is your Tensorflow version? You might want to try this instead: https://github.com/scenenn/pointwise/blob/master/tf_ops/conv3p/tf_conv3p_compile_tf14.sh

[longmalongma]

What is your Tensorflow version? You might want to try this instead: https://github.com/scenenn/pointwise/blob/master/tf_ops/conv3p/tf_conv3p_compile_tf14.sh

tensorflow 1.13.1
tensorflow-gpu 1.9.0
When I try conv3p/tf_conv3p_compile_tf14.sh to compile,I meet the same problem,what wrong with me ?

[sachin-n-AI]

Have you solved the issue?

[longmalongma]

No,I can't solve this problem about compile.so I can't run your code.

------------------ 原始邮件 ------------------ 发件人: "sachinAI"[email protected]; 发送时间: 2019年7月24日(星期三) 下午2:16 收件人: "scenenn/pointwise"[email protected]; 抄送: "longma"[email protected];"Author"[email protected]; 主题: Re: [scenenn/pointwise] How to solve this problem about compile?(#12)

Have you solved the issue?

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[longmalongma]

No,I can't solve this issue

------------------ 原始邮件 ------------------ 发件人: "sachinAI"[email protected]; 发送时间: 2019年7月24日(星期三) 下午2:16 收件人: "scenenn/pointwise"[email protected]; 抄送: "longma"[email protected];"Author"[email protected]; 主题: Re: [scenenn/pointwise] How to solve this problem about compile?(#12)

Have you solved the issue?

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[GuoliangShiIntel]

I also meet this error, i think different version result this problem. so i create a new environment with tensorflow 1.9, CUDA 9.0 and it works.