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root@6eb559dd0e72:/app/aphrodite-engine# python3 env.py Collecting environment information... PyTorch version: 2.2.1+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.3 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version: version 3.29.2 Libc version: glibc-2.35 Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime) Python platform: Linux-5.15.0-105-generic-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: 12.1.105 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA RTX A4000 Nvidia driver version: 545.23.08 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): 32 On-line CPU(s) list: 0-31 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) CPU E5-2630L v3 @ 1.80GHz CPU family: 6 Model: 63 Thread(s) per core: 2 Core(s) per socket: 8 Socket(s): 2 Stepping: 2 CPU max MHz: 2900.0000 CPU min MHz: 1200.0000 BogoMIPS: 3591.66 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 arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor 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 cpuid_fault epb invpcid_single pti intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm xsaveopt cqm_llc cqm_occup_llc dtherm ida arat pln pts md_clear flush_l1d Virtualization: VT-x L1d cache: 512 KiB (16 instances) L1i cache: 512 KiB (16 instances) L2 cache: 4 MiB (16 instances) L3 cache: 40 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-7,16-23 NUMA node1 CPU(s): 8-15,24-31 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled Vulnerability L1tf: Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable 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; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected Versions of relevant libraries: [pip3] numpy==1.26.4 [pip3] torch==2.2.1 [pip3] triton==2.2.0 [conda] Could not collect ROCM Version: Could not collect Aphrodite Version: 0.5.2 Aphrodite Build Flags: CUDA Archs: 8.6; ROCm: Disabled
Following error is reported when started with --tensor-parallel-size 2:
--tensor-parallel-size 2
File "/app/aphrodite-engine/aphrodite/lora/layers.py", line 791, in forward output_parallel = self.apply_weights(input_parallel) File "/app/aphrodite-engine/aphrodite/lora/layers.py", line 759, in apply_weights _apply_lora( File "/app/aphrodite-engine/aphrodite/lora/layers.py", line 80, in _apply_lora add_lora(output, x, lora_a_stacked, lora_b_stacked, indices, 0, 1.0) File "/app/aphrodite-engine/aphrodite/lora/punica.py", line 93, in add_lora punica_kernels.dispatch_bgmv(buffer, x, wa_t_all, indicies, layer_idx, 1.0) RuntimeError: CHECK_EQ(w.size(3), h_in) failed. 4096 vs 2048
Error is not happening when starting with --tensor-parallel-size 1 (there's another issue though! #461)
--tensor-parallel-size 1
Command to start aphrodite engine:
python3 -u -m aphrodite.endpoints.openai.api_server \ --host 0.0.0.0 \ --port 7860 \ --model kubernetes-bad/chargen-v2 \ --tensor-parallel-size 2 \ --gpu-memory-utilization 1 --max-model-len 8192 \ --dtype bfloat16 \ --enable-lora --lora-modules lora-vision=/app/models/loras/lora-vision lora-vision-41=/app/models/loras/lora-vision-41 \ --max-lora-rank 64 \ --trust-remote-code
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🐛 Describe the bug
Following error is reported when started with
--tensor-parallel-size 2
:Error is not happening when starting with
--tensor-parallel-size 1
(there's another issue though! #461)Command to start aphrodite engine:
The text was updated successfully, but these errors were encountered: