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rsnfunky
n00b
Joined: 30 Dec 2007
Posts: 66
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 Posted: Wed Sep 25, 2024 1:39 am Post subject: AMD-GPU, ROCm and vLLM |
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I am trying to install vLLM on my AMD PC as an inference server.
Have followed the gentoo ROCm guide : https://wiki.gentoo.org/wiki/ROCm and installed the full packages.
Step 1:
Installed ROCm and all libraries + packages mentioned in https://wiki.gentoo.org/wiki/ROCm
Step 2: Install Miniconda and create environment vllm:
| Code: | wget https://repo.anaconda.com/miniconda/Miniconda3-py310_23.1.0-1-Linux-x86_64.sh
bash ./Miniconda3-py310_23.1.0-1-Linux-x86_64.sh -b -p $HOME/miniconda3
# Manually adding Conda init to .bashrc
echo '### Conda init ###' >> $HOME/.bashrc
echo 'source $HOME/miniconda3/etc/profile.d/conda.sh' >> $HOME/.bashrc
echo 'conda activate' >> $HOME/.bashrc
source $HOME/.bashrc |
| Code: | conda create -n vllm -y
conda activate vllm
conda install python=3.11 -y |
When trying to compile vLLM, I get the following error: No ROCm runtime is found, using ROCM_HOME='/usr'
Step 3: This could be a pytorch issue (though it was emerged using rocm USE flag)
In the vllm conda environment did: (found from official AMD documents)
| Code: | | pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.1/ |
Error during vllm compilation:
| Quote: | running build_ext
-- The CXX compiler identification is GNU 13.3.1
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Build type: RelWithDebInfo
-- Target device: rocm
-- Found Python: /home/rohit/miniconda3/envs/vllm/bin/python3 (found version "3.11.9") found components: Interpreter Development.Module Development.SABIModule
-- Found python matching: /home/rohit/miniconda3/envs/vllm/bin/python3.
-- Found Torch: /usr/lib64/libtorch.so
-- Enabling core extension.
CMake Error at CMakeLists.txt:143 (message):
Can't find CUDA or HIP installation.
-- Configuring incomplete, errors occurred! |
The system is unable to find HIP installation. Have checked the HIP is properly installed and the test script is also fucntioning.
My environment and HIP config:
| Quote: | Collecting environment information...
WARNING 09-25 07:53:02 _custom_ops.py:18] Failed to import from vllm._C with ModuleNotFoundError("No module named 'vllm._C'")
PyTorch version: 2.6.0.dev20240924+rocm6.1
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 6.1.40091-a8dbc0c19
OS: Gentoo Linux (x86_64)
GCC version: (Gentoo 13.3.1_p20240614 p17) 13.3.1 20240614
Clang version: 18.1.8
CMake version: version 3.30.2
Libc version: glibc-2.39
Python version: 3.11.9 (main, Apr 19 2024, 16:48:06) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.6.38-gentoo-gentoo-dist-x86_64-AMD_Ryzen_7_8700G_w-_Radeon_780M_Graphics-with-glibc2.39
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: AMD Radeon Graphics (gfx1103)
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: 6.1.40091
MIOpen runtime version: 3.1.0
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Vendor ID: AuthenticAMD
Model name: AMD Ryzen 7 8700G w/ Radeon 780M Graphics
CPU family: 25
Model: 117
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Stepping: 2
CPU(s) scaling MHz: 40%
CPU max MHz: 6127.0000
CPU min MHz: 400.0000
BogoMIPS: 8403.66
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 amd_lbr_v2 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 perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid overflow_recov succor smca fsrm flush_l1d
Virtualization: AMD-V
L1d cache: 256 KiB (8 instances)
L1i cache: 256 KiB (8 instances)
L2 cache: 8 MiB (8 instances)
L3 cache: 16 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-15
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: Not affected
Vulnerability Retbleed: Not affected
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; Enhanced / Automatic IBRS; 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==1.26.4
[pip3] nvidia-cublas-cu12==12.1.3.1
[pip3] nvidia-cuda-cupti-cu12==12.1.105
[pip3] nvidia-cuda-nvrtc-cu12==12.1.105
[pip3] nvidia-cuda-runtime-cu12==12.1.105
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.0.2.54
[pip3] nvidia-curand-cu12==10.3.2.106
[pip3] nvidia-cusolver-cu12==11.4.5.107
[pip3] nvidia-cusparse-cu12==12.1.0.106
[pip3] nvidia-nccl-cu12==2.20.5
[pip3] nvidia-nvjitlink-cu12==12.6.68
[pip3] nvidia-nvtx-cu12==12.1.105
[pip3] pytorch-triton-rocm==3.1.0+5fe38ffd73
[pip3] pyzmq==26.2.0
[pip3] torch==2.6.0.dev20240924+rocm6.1
[pip3] torchaudio==2.5.0.dev20240924+rocm6.1
[pip3] torchvision==0.20.0.dev20240924+rocm6.1
[pip3] transformers==4.44.2
[pip3] triton==3.0.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] nvidia-cublas-cu12 12.1.3.1 pypi_0 pypi
[conda] nvidia-cuda-cupti-cu12 12.1.105 pypi_0 pypi
[conda] nvidia-cuda-nvrtc-cu12 12.1.105 pypi_0 pypi
[conda] nvidia-cuda-runtime-cu12 12.1.105 pypi_0 pypi
[conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi
[conda] nvidia-cufft-cu12 11.0.2.54 pypi_0 pypi
[conda] nvidia-curand-cu12 10.3.2.106 pypi_0 pypi
[conda] nvidia-cusolver-cu12 11.4.5.107 pypi_0 pypi
[conda] nvidia-cusparse-cu12 12.1.0.106 pypi_0 pypi
[conda] nvidia-nccl-cu12 2.20.5 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.6.68 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.1.105 pypi_0 pypi
[conda] pytorch-triton-rocm 3.1.0+5fe38ffd73 pypi_0 pypi
[conda] pyzmq 26.2.0 pypi_0 pypi
[conda] torch 2.6.0.dev20240924+rocm6.1 pypi_0 pypi
[conda] torchaudio 2.5.0.dev20240924+rocm6.1 pypi_0 pypi
[conda] torchvision 0.20.0.dev20240924+rocm6.1 pypi_0 pypi
[conda] transformers 4.44.2 pypi_0 pypi
[conda] triton 3.0.0 pypi_0 pypi
ROCM Version: 6.1.40093-
Neuron SDK Version: N/A
vLLM Version: N/A
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
============================ ROCm System Management Interface ============================
================================ Weight between two GPUs =================================
GPU0
GPU0 0
================================= Hops between two GPUs ==================================
GPU0
GPU0 0
=============================== Link Type between two GPUs ===============================
GPU0
GPU0 0
======================================= Numa Nodes =======================================
GPU[0] : (Topology) Numa Node: 0
GPU[0] : (Topology) Numa Affinity: -1
================================== End of ROCm SMI Log ===================================
Output of hipconfig --full:
HIP version : 6.1.40093-
== hipconfig
HIP_PATH : /usr
ROCM_PATH : /usr
HIP_COMPILER : clang
HIP_PLATFORM : amd
HIP_RUNTIME : rocclr
CPP_CONFIG : -D__HIP_PLATFORM_HCC__= -D__HIP_PLATFORM_AMD__= -I/usr/include -I/usr/lib/llvm/18/bin/../../../../lib/clang/18
== hip-clang
HIP_CLANG_PATH : /usr/lib/llvm/18/bin
clang version 18.1.8
Target: x86_64-pc-linux-gnu
Thread model: posix
InstalledDir: /usr/lib/llvm/18/bin
Configuration file: /etc/clang/x86_64-pc-linux-gnu-clang++.cfg
LLVM (http://llvm.org/):
LLVM version 18.1.8
Optimized build.
Default target: x86_64-pc-linux-gnu
Host CPU: znver4
Registered Targets:
aarch64 - AArch64 (little endian)
aarch64_32 - AArch64 (little endian ILP32)
aarch64_be - AArch64 (big endian)
amdgcn - AMD GCN GPUs
arm - ARM
arm64 - ARM64 (little endian)
arm64_32 - ARM64 (little endian ILP32)
armeb - ARM (big endian)
avr - Atmel AVR Microcontroller
bpf - BPF (host endian)
bpfeb - BPF (big endian)
bpfel - BPF (little endian)
hexagon - Hexagon
lanai - Lanai
loongarch32 - 32-bit LoongArch
loongarch64 - 64-bit LoongArch
mips - MIPS (32-bit big endian)
mips64 - MIPS (64-bit big endian)
mips64el - MIPS (64-bit little endian)
mipsel - MIPS (32-bit little endian)
msp430 - MSP430 [experimental]
nvptx - NVIDIA PTX 32-bit
nvptx64 - NVIDIA PTX 64-bit
ppc32 - PowerPC 32
ppc32le - PowerPC 32 LE
ppc64 - PowerPC 64
ppc64le - PowerPC 64 LE
r600 - AMD GPUs HD2XXX-HD6XXX
riscv32 - 32-bit RISC-V
riscv64 - 64-bit RISC-V
sparc - Sparc
sparcel - Sparc LE
sparcv9 - Sparc V9
systemz - SystemZ
thumb - Thumb
thumbeb - Thumb (big endian)
ve - VE
wasm32 - WebAssembly 32-bit
wasm64 - WebAssembly 64-bit
x86 - 32-bit X86: Pentium-Pro and above
x86-64 - 64-bit X86: EM64T and AMD64
xcore - XCore
hip-clang-cxxflags : --hip-version=6.1.40093 -O3
hip-clang-ldflags : --driver-mode=g++ --hip-version=6.1.40093 -O3 --hip-link --rtlib=compiler-rt -unwindlib=libgcc
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