Description
Your current environment information
Unable to load nexfort.{extension} module. Is it compatible with your PyTorch installation?
Or is it compatible with your CUDA Toolkit installation?
Collecting environment information...
PyTorch version: 2.3.0+cu118
Is debug build: False
CUDA used to build PyTorch: 11.8
ROCM used to build PyTorch: N/A
OneFlow version: none
Nexfort version: none
OneDiff version: 1.2.1.dev46+g61b7cca1
OneDiffX version: 1.2.1.dev46+g61b7cca1
OS: Ubuntu 18.04.6 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: Could not collect
CMake version: version 3.10.2
Libc version: glibc-2.27
Python version: 3.8.10 (default, Jun 4 2021, 15:09:15) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-4.15.0-167-generic-x86_64-with-glibc2.17
Is CUDA available: True
CUDA runtime version: 9.1.85
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: A40
GPU 1: A40
GPU 2: A40
GPU 3: A40
GPU 4: A40
GPU 5: A40
GPU 6: A40
GPU 7: A40
Nvidia driver version: 460.91.03
cuDNN version: Probably one of the following:
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn.so.8.9.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.9.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.9.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.9.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.9.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.9.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.9.0
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
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Silver 4216 CPU @ 2.10GHz
Stepping: 7
CPU MHz: 2700.000
CPU max MHz: 3200.0000
CPU min MHz: 800.0000
BogoMIPS: 4200.00
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 22528K
NUMA node0 CPU(s): 0-15,32-47
NUMA node1 CPU(s): 16-31,48-63
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 pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke avx512_vnni md_clear flush_l1d arch_capabilities
Versions of relevant libraries:
[pip3] diffusers==0.27.2
[pip3] numpy==1.24.4
[pip3] onnx==1.16.1
[pip3] onnxruntime-gpu==1.18.1
[pip3] pytorch-lightning==2.2.1
[pip3] torch==2.3.0+cu118
[pip3] torchaudio==2.3.0+cu118
[pip3] torchmetrics==1.3.1
[pip3] torchvision==0.18.0+cu118
[pip3] transformers==4.38.2
[pip3] triton==2.3.0
[conda] numpy 1.24.4 pypi_0 pypi
[conda] pytorch-lightning 2.2.1 pypi_0 pypi
[conda] torch 2.3.0+cu118 pypi_0 pypi
[conda] torchaudio 2.3.0+cu118 pypi_0 pypi
[conda] torchmetrics 1.3.1 pypi_0 pypi
[conda] torchvision 0.18.0+cu118 pypi_0 pypi
[conda] triton 2.3.0 pypi_0 pypi
🐛 Describe the bug
import nexfort
"ImportError: libcudart.so.12: cannot open shared object file: No such file or directory"
Can nexfort only be used in the CUDA12 version？