Repository: pytorch
Issue: Compiling source code reported an error
Labels: module: build,triaged,module: nccl

### 🐛 Describe the bug

When I try to compile the pytorch source code, execute 'USE'_ When CUDA=1 Python setup. py develop ', compilation failed with error:

FAILED: nccl_ External prefix/src/nccl_ External stamp/nccl_ External build nccl/lib/libnccl_ Static.a/mnt/data/xy/test/Pytorch/build/nccl_ External prefix/src/nccl_ External stamp/nccl_ External build/mnt/data/xy/test/Pytorch/build/nccl/lib/libnccl_ Static.a

Nvlink error: Undefined reference to 'ncclDevFuncTable' in '/mnt/data/xy/test/Pytorch/build/nccl/obj/device/common. cu. o'

What I pulled is the source code of the main branch, and the native CUDA is version 11.8. Do you have any suggestions to help me compile smoothly?

### Error logs

_No response_

### Minified repro

_No response_

### Versions

PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: Could not collect
CMake version: version 3.27.9
Libc version: glibc-2.35

Python version: 3.9.18 (main, Sep 11 2023, 13:41:44)  [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-88-generic-x86_64-with-glibc2.35
Is CUDA available: N/A
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: GPU 0: Quadro RTX 4000
Nvidia driver version: 535.129.03
cuDNN version: Probably one of the following:
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn.so.8
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn_adv_train.so.8
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8
/usr/local/cuda-11.8/targets/x86_64-linux/lib/libcudnn_ops_train.so.8
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A

CPU:
架构：                              x86_64
CPU 运行模式：                      32-bit, 64-bit
Address sizes:                      46 bits physical, 48 bits virtual
字节序：                            Little Endian
CPU:                                20
在线 CPU 列表：                     0-19
厂商 ID：                           GenuineIntel
型号名称：                          13th Gen Intel(R) Core(TM) i5-13500
CPU 系列：                          6
型号：                              191
每个核的线程数：                    2
每个座的核数：                      14
座：                                1
步进：                              2
CPU 最大 MHz：                      4800.0000
CPU 最小 MHz：                      800.0000
BogoMIPS：                          4992.00
标记：                              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 umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr flush_l1d arch_capabilities
虚拟化：                            VT-x
L1d 缓存：                          544 KiB (14 instances)
L1i 缓存：                          704 KiB (14 instances)
L2 缓存：                           11.5 MiB (8 instances)
L3 缓存：                           24 MiB (1 instance)
NUMA 节点：                         1
NUMA 节点0 CPU：                    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 Retbleed:             Not affected
Vulnerability Spec rstack overflow: 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; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Versions of relevant libraries:
[pip3] numpy==1.24.1
[pip3] optree==0.10.0
[pip3] torch==2.1.0+cu118
[pip3] torchaudio==2.1.0+cu118
[pip3] torchvision==0.16.0+cu118
[pip3] triton==2.1.0
[conda] numpy                     1.24.1                   pypi_0    pypi
[conda] optree                    0.10.0                   pypi_0    pypi
[conda] torch                     2.1.0+cu118              pypi_0    pypi
[conda] torchaudio                2.1.0+cu118              pypi_0    pypi
[conda] torchvision               0.16.0+cu118             pypi_0    pypi
[conda] triton                    2.1.0                    pypi_0    pypi


cc @malfet @seemethere @ezyang @msaroufim @wconstab @bdhirsh @anijain2305 @zou3519