cudf: [BUG] nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified
Describe the bug When building from source, ‘make’ produces “nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified” error.
Steps/Code to reproduce bug
After completing cmake successfully in build directory, running ‘make’ produces “nvcc fatal : A single input file is required…” error as below.
~/files/cudf/cpp$ mkdir build && cd build
~/files/cudf/cpp/build$ cmake .. -DCMAKE_INSTALL_PREFIX=~/anaconda3 -DCMAKE_CXX11_ABI=OFF
~/files/cudf/cpp/build$ make
Scanning dependencies of target rmm
Scanning dependencies of target stringify
[ 0%] Building CXX object CMakeFiles/stringify.dir/thirdparty/jitify/stringify.cpp.o
[ 1%] Building CXX object rmm/CMakeFiles/rmm.dir/src/rmm.cpp.o
[ 2%] Linking CXX executable stringify
[ 2%] Built target stringify
[ 2%] Building CXX object rmm/CMakeFiles/rmm.dir/src/memory_manager.cpp.o
[ 3%] Building CXX object rmm/CMakeFiles/rmm.dir/thirdparty/cnmem/src/cnmem.cpp.o
Scanning dependencies of target stringify_run
[ 4%] Run stringify on header types.h to convert it to c-str for use in JIT compiled code
[ 4%] Built target stringify_run
[ 5%] Linking CXX shared library librmm.so
[ 5%] Built target rmm
Scanning dependencies of target random_allocate
Scanning dependencies of target cudf
[ 6%] Building CXX object rmm/tests/CMakeFiles/random_allocate.dir/performance/random_allocate.cpp.o
In file included from /usr/include/powerpc64le-linux-gnu/bits/libc-header-start.h:33,
from /usr/include/limits.h:26,
from /usr/lib/gcc/powerpc64le-linux-gnu/8/include-fixed/limits.h:194,
from /usr/lib/gcc/powerpc64le-linux-gnu/8/include-fixed/syslimits.h:7,
from /usr/lib/gcc/powerpc64le-linux-gnu/8/include-fixed/limits.h:34,
from /usr/local/cuda/targets/ppc64le-linux/include/driver_types.h:77,
from /usr/local/cuda/targets/ppc64le-linux/include/builtin_types.h:59,
from /usr/local/cuda/targets/ppc64le-linux/include/cuda_runtime_api.h:139,
from /home/u0017649/files/cudf/cpp/thirdparty/rmm/tests/performance/random_allocate.cpp:17:
/usr/include/features.h:184:3: warning: #warning "_BSD_SOURCE and _SVID_SOURCE are deprecated, use _DEFAULT_SOURCE" [-Wcpp]
# warning "_BSD_SOURCE and _SVID_SOURCE are deprecated, use _DEFAULT_SOURCE"
^~~~~~~
[ 6%] Linking CXX executable ../../bench/random_allocate
[ 6%] Built target random_allocate
Scanning dependencies of target RMM_TEST
[ 6%] Building CXX object rmm/tests/CMakeFiles/RMM_TEST.dir/memory_tests.cpp.o
[ 6%] Building CUDA object CMakeFiles/cudf.dir/src/comms/ipc/ipc.cu.o
nvcc fatal : A single input file is required for a non-link phase when an outputfile is specified
make[2]: *** [CMakeFiles/cudf.dir/build.make:63: CMakeFiles/cudf.dir/src/comms/ipc/ipc.cu.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:1003: CMakeFiles/cudf.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....
[ 7%] Linking CXX executable ../../gtests/RMM_TEST
[ 7%] Built target RMM_TEST
make: *** [Makefile:141: all] Error 2
Expected behavior ‘make’ should be completed without error.
Environment details (please complete the following information):
- Environment location: IBM POWER8 cloud
- Method of cuDF install: from source
~/files/cudf$ ./print_env.sh
**git***
commit e0acdc616a71f52712f34deade8ec014542d0e17 (HEAD -> branch-0.7, origin/branch-0.7, origin/HEAD)
Merge: e69b1c20 07bd910d
Author: Mark Harris <mharris@nvidia.com>
Date: Wed Mar 27 16:18:04 2019 +1100
Merge pull request #1293 from Shakeebbk/master
Fix Inaccurate error message in join.pyx
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=18.10
DISTRIB_CODENAME=cosmic
DISTRIB_DESCRIPTION="Ubuntu 18.10"
NAME="Ubuntu"
VERSION="18.10 (Cosmic Cuttlefish)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 18.10"
VERSION_ID="18.10"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=cosmic
UBUNTU_CODENAME=cosmic
Linux sys-97541 4.18.0-11-generic #12-Ubuntu SMP Tue Oct 23 19:20:58 UTC 2018 ppc64le ppc64le ppc64le GNU/Linux
***GPU Information***
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
***CPU***
Architecture: ppc64le
Byte Order: Little Endian
CPU(s): 2
On-line CPU(s) list: 0,1
Thread(s) per core: 2
Core(s) per socket: 1
Socket(s): 1
NUMA node(s): 1
Model: 2.1 (pvr 004b 0201)
Model name: POWER8E (raw), altivec supported
Hypervisor vendor: KVM
Virtualization type: para
L1d cache: 64K
L1i cache: 32K
NUMA node0 CPU(s): 0,1
***CMake***
/home/u0017649/anaconda3/bin/cmake
cmake version 3.12.2
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/usr/bin/g++
g++ (Ubuntu 8.2.0-7ubuntu1) 8.2.0
Copyright (C) 2018 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
***nvcc***
/usr/local/cuda/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:09:58_PST_2019
Cuda compilation tools, release 10.1, V10.1.105
***Python***
/home/u0017649/anaconda3/bin/python
Python 3.7.0
***Environment Variables***
PATH : /home/u0017649/anaconda3/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
LD_LIBRARY_PATH : /home/u0017649/anaconda3/lib:/usr/local/cuda/lib64:/usr/local/lib64:/usr/local/lib:/usr/lib64:/usr/lib:/lib64:/lib
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX :
PYTHON_PATH :
***conda packages***
/home/u0017649/anaconda3/bin/conda
# packages in environment at /home/u0017649/anaconda3:
#
# Name Version Build Channel
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About this issue
- Original URL
- State: closed
- Created 5 years ago
- Comments: 29 (14 by maintainers)
Here’s a fix for the
catchissue: https://github.com/rapidsai/cudf/pull/1317It seems the
catchissue is a bug in libcudf that isn’t caught with other compilers. We’ll get that fixed.The other issue may be because of you set
-D_GLIBCXX_USE_CXX11_ABI=OFFin your cmake command line:~/files/cudf/cpp/build$ cmake .. -DCMAKE_INSTALL_PREFIX=~/anaconda3 -DCMAKE_CXX11_ABI=OFFWhy did you set it off? Can you try leaving the default (
ON, or unspecified)?