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[BUG] - Outdated CMakeLists.txt in cpp_export.rst #2879

Open CreeperLin opened 4 months ago

CreeperLin commented 4 months ago

Add Link

https://pytorch.org/tutorials/advanced/cpp_export.html

Describe the bug

The CMakeLists.txt in cpp_export.rst specifies using cpp standard 14

set_property(TARGET example-app PROPERTY CXX_STANDARD 14)

which raises the following error when building the project with libtorch 2.3.0 (libtorch-cxx11-abi-shared-with-deps-2.3.0+cpu.zip).

error: #error C++17 or later compatible compiler is required to use ATen.

Changing the number from 14 to 17 in CMakeLists.txt fixes this issue.

Describe your environment

Collecting environment information... PyTorch version: 2.1.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A

OS: Manjaro Linux (x86_64) GCC version: (GCC) 13.2.1 20230801 Clang version: 16.0.6 CMake version: version 3.28.3 Libc version: glibc-2.39

Python version: 3.8.18 (default, Sep 11 2023, 13:40:15) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-6.1.85-1-MANJARO-x86_64-with-glibc2.17 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA RTX A2000 8GB Laptop GPU Nvidia driver version: 550.76 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 20 On-line CPU(s) list: 0-19 Vendor ID: GenuineIntel Model name: 12th Gen Intel(R) Core(TM) i9-12900H CPU family: 6 Model: 154 Thread(s) per core: 2 Core(s) per socket: 14 Socket(s): 1 Stepping: 3 CPU(s) scaling MHz: 18% CPU max MHz: 5000.0000 CPU min MHz: 400.0000 BogoMIPS: 5839.00 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 544 KiB (14 instances) L1i cache: 704 KiB (14 instances) L2 cache: 11.5 MiB (8 instances) L3 cache: 24 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-19 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Reg file data sampling: Vulnerable: No microcode Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] numpy==1.24.4 [pip3] numpy-quaternion==2023.0.3 [pip3] torch==2.1.0 [pip3] torchaudio==2.1.0 [pip3] torchvision==0.16.0 [pip3] triton==2.1.0 [conda] numpy 1.24.4 pypi_0 pypi [conda] numpy-quaternion 2023.0.3 pypi_0 pypi [conda] torch 2.1.0 pypi_0 pypi [conda] torchaudio 2.1.0 pypi_0 pypi [conda] torchvision 0.16.0 pypi_0 pypi [conda] triton 2.1.0 pypi_0 pypi

svekars commented 4 months ago

CC: @jbschlosser