aphrodite-engine
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PygmalionAI
[Bug]: New Numpy version breaks installation
Your current environment
PyTorch version: 2.3.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.10 (x86_64)
GCC version: (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0
Clang version: Could not collect
CMake version: version 3.29.5
Libc version: glibc-2.36
Python version: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.5.0-35-generic-x86_64-with-glibc2.36
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA GeForce RTX 3090
GPU 1: NVIDIA GeForce RTX 3090
GPU 2: NVIDIA GeForce RTX 3090
GPU 3: NVIDIA GeForce RTX 3090
Nvidia driver version: 550.78
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: 43 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7532 32-Core Processor
CPU family: 23
Model: 49
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 1
Stepping: 0
Frequency boost: enabled
CPU(s) scaling MHz: 71%
CPU max MHz: 2400.0000
CPU min MHz: 1500.0000
BogoMIPS: 4799.88
Flags: 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 rapl pni pclmulqdq monitor ssse3 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 ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sev sev_es
Virtualization: AMD-V
L1d cache: 1 MiB (32 instances)
L1i cache: 1 MiB (32 instances)
L2 cache: 16 MiB (32 instances)
L3 cache: 256 MiB (16 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-63
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: Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec rstack overflow: Mitigation; Safe RET
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; Retpolines; IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.0.0
[pip3] torch==2.3.0
[pip3] triton==2.3.0
[conda] numpy 2.0.0 pypi_0 pypi
[conda] torch 2.3.0 pypi_0 pypi
[conda] triton 2.3.0 pypi_0 pypiROCM Version: Could not collect
Aphrodite Version: 0.5.3
Aphrodite Build Flags:
CUDA Archs: Not Set; ROCm: Disabled
🐛 Describe the bug
Numpy had a new update today, which means now installing aphrodite via pip or building it from source both result in the following error when trying to run aphrodite after installation:
Traceback (most recent call last):
File "/home/murtaza/miniconda3/envs/aphrodite/bin/aphrodite", line 5, in <module>
from aphrodite.endpoints.cli import main
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/endpoints/cli.py", line 3, in <module>
from aphrodite.endpoints.openai.api_server import run_server
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/endpoints/openai/api_server.py", line 30, in <module>
from aphrodite.endpoints.openai.serving_chat import OpenAIServingChat
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/endpoints/openai/serving_chat.py", line 23, in <module>
from aphrodite.modeling.guided_decoding import (
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/modeling/guided_decoding/__init__.py", line 5, in <module>
from aphrodite.modeling.guided_decoding.lm_format_enforcer_decoding import (
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/modeling/guided_decoding/lm_format_enforcer_decoding.py", line 17, in <module>
from aphrodite.modeling.guided_decoding.outlines_decoding import \
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/modeling/guided_decoding/outlines_decoding.py", line 17, in <module>
from aphrodite.modeling.guided_decoding.outlines_logits_processors import (
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/aphrodite/modeling/guided_decoding/outlines_logits_processors.py", line 24, in <module>
from outlines.fsm.fsm import CFGFSM, RegexFSM
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/outlines/__init__.py", line 2, in <module>
import outlines.generate
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/outlines/generate/__init__.py", line 2, in <module>
from .cfg import cfg
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/outlines/generate/cfg.py", line 5, in <module>
from outlines.models import OpenAI
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/outlines/models/__init__.py", line 14, in <module>
from .openai import OpenAI, azure_openai, openai
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/outlines/models/openai.py", line 9, in <module>
from outlines.base import vectorize
File "/home/murtaza/miniconda3/envs/aphrodite/lib/python3.11/site-packages/outlines/base.py", line 8, in <module>
from numpy.lib.function_base import (
ModuleNotFoundError: No module named 'numpy.lib.function_base'
Oh boy. I suppose we have to pin numpy versions too from now on. Thanks for reporting
Does torch not pin numpy already? Weird.
For anyone else who might be running into this issue, please downgrade numpy:
pip install numpy==1.26.4