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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/01/27 20:17:31 UTC
[GitHub] mahmoodn opened a new issue #14002: error: ‘__cpuid’ was not declared in this scope
mahmoodn opened a new issue #14002: error: ‘__cpuid’ was not declared in this scope
URL: https://github.com/apache/incubator-mxnet/issues/14002
It the latest version compatible with CUDA 10? I get the following error during the build:
```
[ 27%] Building CXX object src/CMakeFiles/mkldnn.dir/cpu/cpu_barrier.cpp.o
cd /home/mahmood/mx/mxnet/3rdparty/mkldnn/build/src && /usr/bin/c++ -DMKLDNN_DLL -DMKLDNN_DLL_EXPORTS -DMKLDNN_THR=MKLDNN_THR_OMP -DUSE_CBLAS -DUSE_MKL -D__STDC_CONSTANT_MACROS -D__STDC_LIMIT_MACROS -Dmkldnn_EXPORTS -I/home/mahmood/mx/mxnet/3rdparty/mkldnn/external/mklml_lnx_2019.0.1.20180928/include -I/home/mahmood/mx/mxnet/3rdparty/mkldnn/include -I/home/mahmood/mx/mxnet/3rdparty/mkldnn/src -I/home/mahmood/mx/mxnet/3rdparty/mkldnn/src/common -I/home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/xbyak -fopenmp -std=c++11 -fvisibility-inlines-hidden -Wall -Werror -Wno-unknown-pragmas -fvisibility=internal -mtune=generic -fPIC -Wformat -Wformat-security -fstack-protector-strong -Wmissing-field-initializers -Wno-strict-overflow -O3 -DNDEBUG -D_FORTIFY_SOURCE=2 -fPIC -std=gnu++11 -o CMakeFiles/mkldnn.dir/cpu/cpu_barrier.cpp.o -c /home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/cpu_barrier.cpp
In file included from /home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/cpu_isa_traits.hpp:35:0,
from /home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/jit_generator.hpp:21,
from /home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/cpu_barrier.hpp:22,
from /home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/cpu_barrier.cpp:19:
/home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/xbyak/xbyak_util.h: In static member function ‘static void Xbyak::util::Cpu::getCpuid(unsigned int, unsigned int*)’:
/home/mahmood/mx/mxnet/3rdparty/mkldnn/src/cpu/xbyak/xbyak_util.h:227:3: error: ‘__cpuid’ was not declared in this scope
__cpuid(eaxIn, data[0], data[1], data[2], data[3]);
^~~~~~~
```
Some information about system specs are presented below
```
$ lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 18.04.1 LTS
Release: 18.04
Codename: bionic
$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/7/lto-wrapper
OFFLOAD_TARGET_NAMES=nvptx-none
OFFLOAD_TARGET_DEFAULT=1
Target: x86_64-linux-gnu
Configured with: ../src/configure -v --with-pkgversion='Ubuntu 7.3.0-27ubuntu1~18.04' --with-bugurl=file:///usr/share/doc/gcc-7/README.Bugs --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --prefix=/usr --with-gcc-major-version-only --program-suffix=-7 --program-prefix=x86_64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-vtable-verify --enable-libmpx --enable-plugin --enable-default-pie --with-system-zlib --with-target-system-zlib --enable-objc-gc=auto --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-offload-targets=nvptx-none --without-cuda-driver --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnu
Thread model: posix
gcc version 7.3.0 (Ubuntu 7.3.0-27ubuntu1~18.04)
$ ~/NVIDIA_CUDA-10.0_Samples/1_Utilities/deviceQuery/deviceQuery
/home/mahmood/NVIDIA_CUDA-10.0_Samples/1_Utilities/deviceQuery/deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "Quadro M2000"
CUDA Driver Version / Runtime Version 10.0 / 10.0
CUDA Capability Major/Minor version number: 5.2
Total amount of global memory: 4041 MBytes (4236902400 bytes)
( 6) Multiprocessors, (128) CUDA Cores/MP: 768 CUDA Cores
GPU Max Clock rate: 1162 MHz (1.16 GHz)
Memory Clock rate: 3303 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 786432 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: No
Supports Cooperative Kernel Launch: No
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 38 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS
```
Any guess?
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