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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2022/07/02 14:40:41 UTC
[GitHub] [incubator-mxnet] wilhem opened a new issue, #21085: Building errors after cmake
wilhem opened a new issue, #21085:
URL: https://github.com/apache/incubator-mxnet/issues/21085
## Description
Trying to build mxnet for Ubuntu as explained here: https://mxnet.apache.org/versions/1.9.1/get_started/ubuntu_setup.html
I get the following errors (_Fehler_ is the german word for _error_)
### Error Message
/home/gigi/Downloads/mxnet/src/operator/contrib/bilinear_resize-inl.cuh(228): warning: variable "i_numel" was declared but never referenced
detected during:
instantiation of "void mxnet::op::SpatialUpSamplingBilinearUpdateOutput<xpu,DType,AccReal>(mshadow::Stream<mshadow::gpu> *, const std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob>> &, const std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob>> &, __nv_bool) [with xpu=mxnet::gpu, DType=float, AccReal=float]"
/home/davide/Downloads/mxnet/src/operator/contrib/bilinear_resize-inl.h(217): here
instantiation of "void mxnet::op::BilinearSampleOpForward<xpu>(const nnvm::NodeAttrs &, const mxnet::OpContext &, const std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob>> &, const std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType>> &, const std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob>> &) [with xpu=mxnet::gpu]"
/home/gigi/Downloads/mxnet/src/operator/contrib/bilinear_resize.cu(260): here
/home/gigi/Downloads/mxnet/src/operator/contrib/../../ndarray/../operator/mshadow_op.h(880): error: expected a "("
/home/gigi/Downloads/mxnet/src/operator/contrib/../../ndarray/../operator/mshadow_op.h(880): error: expected a "("
/home/gigi/Downloads/mxnet/src/operator/./mshadow_op.h(880): error: expected a "("
1 error detected in the compilation of "/tmp/tmpxft_00009e98_00000000-4_all_finite.cpp4.ii".
/home/gigi/Downloads/mxnet/src/operator/contrib/./../mshadow_op.h(880): error: expected a "("
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6641: CMakeFiles/mxnet.dir/src/operator/all_finite.cu.o] Fehler 2
make[2]: *** Auf noch nicht beendete Prozesse wird gewartet …
1 error detected in the compilation of "/tmp/tmpxft_00009ebf_00000000-4_bilinear_resize.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6719: CMakeFiles/mxnet.dir/src/operator/contrib/bilinear_resize.cu.o] Fehler 2
1 error detected in the compilation of "/tmp/tmpxft_00009eb4_00000000-4_adaptive_avg_pooling.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6693: CMakeFiles/mxnet.dir/src/operator/contrib/adaptive_avg_pooling.cu.o] Fehler 2
/home/gigi/Downloads/mxnet/src/operator/contrib/./../mshadow_op.h(880): error: expected a "("
/home/gigi/Downloads/mxnet/src/operator/contrib/./../mshadow_op.h(880): error: expected a "("
1 error detected in the compilation of "/tmp/tmpxft_00009eb6_00000000-4_allclose_op.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6706: CMakeFiles/mxnet.dir/src/operator/contrib/allclose_op.cu.o] Fehler 2
1 error detected in the compilation of "/tmp/tmpxft_00009e96_00000000-4_adabelief.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6667: CMakeFiles/mxnet.dir/src/operator/contrib/adabelief.cu.o] Fehler 2
1 error detected in the compilation of "/tmp/tmpxft_00009e9c_00000000-4_adamw.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6680: CMakeFiles/mxnet.dir/src/operator/contrib/adamw.cu.o] Fehler 2
/home/gigi/Downloads/mxnet/src/common/../operator/tensor/./../mshadow_op.h(880): error: expected a "("
1 error detected in the compilation of "/tmp/tmpxft_00009e85_00000000-4_utils.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6589: CMakeFiles/mxnet.dir/src/common/utils.cu.o] Fehler 2
/home/gigi/Downloads/mxnet/src/ndarray/../operator/tensor/./../mshadow_op.h(880): error: expected a "("
1 error detected in the compilation of "/tmp/tmpxft_00009e88_00000000-4_ndarray_function.cpp4.ii".
make[2]: *** [CMakeFiles/mxnet.dir/build.make:6628: CMakeFiles/mxnet.dir/src/ndarray/ndarray_function.cu.o] Fehler 2
make[1]: *** [CMakeFiles/Makefile2:465: CMakeFiles/mxnet.dir/all] Fehler 2
make: *** [Makefile:141: all] Fehler 2
## To Reproduce
(If you developed your own code, please provide a short script that reproduces the error. For existing examples, please provide link.)
### Steps to reproduce
(Paste the commands you ran that produced the error.)
1. just run: `cmake --build . --parallel 8` where 8 are my cpus
2.
## What have you tried to solve it?
1. I tried to rerun the script again
2. By the way here my `config.cmake` file
```
#---------------------------------------------
# GPU support
#---------------------------------------------
set(USE_CUDA OFF CACHE BOOL "Build with CUDA support")
set(USE_CUDNN OFF CACHE BOOL "Build with cudnn support, if found")
set(USE_CUTENSOR OFF CACHE BOOL "Build with cutensor support, if found")
# Target NVIDIA GPU achitecture.
# Valid options are "Auto" for autodetection, "All" for all available
# architectures or a list of architectures by compute capability number, such as
# "7.0" or "7.0;7.5" as well as name, such as "Volta" or "Volta;Turing".
# The value specified here is passed to cmake's CUDA_SELECT_NVCC_ARCH_FLAGS to
# obtain the compilation flags for nvcc.
#
# When compiling on a machine without GPU, autodetection will fail and you
# should instead specify the target architecture manually to avoid excessive
# compilation times.
set(MXNET_CUDA_ARCH "Auto" CACHE STRING "Target NVIDIA GPU achitecture")
#---------------------------------------------
# Common libraries
#---------------------------------------------
set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support")
set(OPENCV_ROOT "" CACHE BOOL "OpenCV install path. Supports autodetection.")
set(USE_OPENMP ON CACHE BOOL "Build with Openmp support")
set(USE_ONEDNN ON CACHE BOOL "Build with oneDNN support")
set(USE_LAPACK ON CACHE BOOL "Build with lapack support")
set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
#---------------------
# Compilers
#--------------------
# Compilers are usually autodetected. Uncomment and modify the next 3 lines to
# choose manually:
# set(CMAKE_C_COMPILER "" CACHE BOOL "C compiler")
# set(CMAKE_CXX_COMPILER "" CACHE BOOL "C++ compiler")
# set(CMAKE_CUDA_COMPILER "" CACHE BOOL "Cuda compiler (nvcc)")
#---------------------------------------------
# CPU instruction sets: The support is autodetected if turned ON
#---------------------------------------------
set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
set(USE_F16C ON CACHE BOOL "Build with x86 F16C instruction support")
#----------------------------
# distributed computing
#----------------------------
set(USE_DIST_KVSTORE OFF CACHE BOOL "Build with DIST_KVSTORE support")
#----------------------------
# performance settings
#----------------------------
set(USE_OPERATOR_TUNING ON CACHE BOOL "Enable auto-tuning of operators")
set(USE_GPERFTOOLS OFF CACHE BOOL "Build with GPerfTools support")
set(USE_JEMALLOC OFF CACHE BOOL "Build with Jemalloc support")
#----------------------------
# additional operators
#----------------------------
# path to folders containing projects specific operators that you don't want to
# put in src/operators
SET(EXTRA_OPERATORS "" CACHE PATH "EXTRA OPERATORS PATH")
#----------------------------
# other features
#----------------------------
# Create C++ interface package
set(USE_CPP_PACKAGE OFF CACHE BOOL "Build C++ Package")
# Use int64_t type to represent index and the number of elements in a tensor
# This will cause performance degradation reported in issue #14496
# Set to 1 for large tensor with tensor size greater than INT32_MAX i.e. 2147483647
set(USE_INT64_TENSOR_SIZE ON CACHE BOOL "Use int64_t to represent the number of elements in a tensor")
# Other GPU features
set(USE_NCCL "Use NVidia NCCL with CUDA" OFF)
set(NCCL_ROOT "" CACHE BOOL "NCCL install path. Supports autodetection.")
set(USE_NVTX ON CACHE BOOL "Build with NVTX support")
```
## Environment
***We recommend using our script for collecting the diagnostic information with the following command***
`curl --retry 10 -s https://raw.githubusercontent.com/apache/incubator-mxnet/master/tools/diagnose.py | python3`
<details>
<summary>Environment Information</summary>
```
/master/tools/diagnose.py | python3
----------Python Info----------
Version : 3.8.10
Compiler : GCC 9.4.0
Build : ('default', 'Mar 15 2022 12:22:08')
Arch : ('64bit', 'ELF')
------------Pip Info-----------
No corresponding pip install for current python.
----------MXNet Info-----------
No MXNet installed.
----------System Info----------
Platform : Linux-5.4.0-121-generic-x86_64-with-glibc2.29
system : Linux
node : grh1
release : 5.4.0-121-generic
version : #137-Ubuntu SMP Wed Jun 15 13:33:07 UTC 2022
----------Hardware Info----------
machine : x86_64
processor : x86_64
Architektur: x86_64
CPU Operationsmodus: 32-bit, 64-bit
Byte-Reihenfolge: Little Endian
Adressgrößen: 43 bits physical, 48 bits virtual
CPU(s): 16
Liste der Online-CPU(s): 0-15
Thread(s) pro Kern: 2
Kern(e) pro Socket: 8
Sockel: 1
NUMA-Knoten: 1
Anbieterkennung: AuthenticAMD
Prozessorfamilie: 23
Modell: 8
Modellname: AMD Ryzen 7 2700 Eight-Core Processor
Stepping: 2
Frequenzanhebung: aktiviert
CPU MHz: 1550.850
Maximale Taktfrequenz der CPU: 3200,0000
Minimale Taktfrequenz der CPU: 1550,0000
BogoMIPS: 6386.98
Virtualisierung: AMD-V
L1d Cache: 256 KiB
L1i Cache: 512 KiB
L2 Cache: 4 MiB
L3 Cache: 16 MiB
NUMA-Knoten0 CPU(s): 0-15
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, STIBP disabled, RSB filling
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Markierungen: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush
mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc
rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor s
sse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_
legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit w
dt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate s
me ssbd sev ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushop
t sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv
svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter p
fthreshold avic v_vmsave_vmload vgif overflow_recov succor smca
----------Network Test----------
Setting timeout: 10
Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0170 sec, LOAD: 0.4900 sec.
Error open Gluon Tutorial(en): http://gluon.mxnet.io, HTTP Error 404: Not Found, DNS finished in 0.0477757453918457 sec.
Error open Gluon Tutorial(cn): https://zh.gluon.ai, <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1131)>, DNS finished in 0.01242971420288086 sec.
Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0225 sec, LOAD: 0.6333 sec.
Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0057 sec, LOAD: 0.3582 sec.
Error open Conda: https://repo.continuum.io/pkgs/free/, HTTP Error 403: Forbidden, DNS finished in 0.09440469741821289 sec.
----------Environment----------
```
</details>
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[GitHub] [incubator-mxnet] github-actions[bot] commented on issue #21085: Building errors after cmake
Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on issue #21085:
URL: https://github.com/apache/incubator-mxnet/issues/21085#issuecomment-1172909498
Welcome to Apache MXNet (incubating)! We are on a mission to democratize AI, and we are glad that you are contributing to it by opening this issue.
Please make sure to include all the relevant context, and one of the @apache/mxnet-committers will be here shortly.
If you are interested in contributing to our project, let us know! Also, be sure to check out our guide on [contributing to MXNet](https://mxnet.apache.org/community/contribute) and our [development guides wiki](https://cwiki.apache.org/confluence/display/MXNET/Developments).
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[GitHub] [incubator-mxnet] josephevans commented on issue #21085: Building errors after cmake
Posted by GitBox <gi...@apache.org>.
josephevans commented on issue #21085:
URL: https://github.com/apache/incubator-mxnet/issues/21085#issuecomment-1204707832
Hi, thanks for the report. What compiler are you using to build MXNet?
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