Error: operator reshape_and_cache_cpu_impl not implemented for half when running examples/offline_inference.py on POWER10

[mikejuliet13]

Your current environment

The output of python collect_env.py
Collecting environment information...
PyTorch version: 2.6.0a0+git9126110
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Red Hat Enterprise Linux 9.5 (Plow) (ppc64le)
GCC version: (GCC) 13.3.1 20240611 (Red Hat 13.3.1-2)
Clang version: 18.1.8 (Red Hat, Inc. 18.1.8-3.el9)
CMake version: version 3.31.1
Libc version: glibc-2.34
Python version: 3.11.11 | packaged by conda-forge | (main, Dec 5 2024, 14:07:52) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-5.14.0-503.15.1.el9_5.ppc64le-ppc64le-with-glibc2.34
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: False
CPU:
Architecture: ppc64le
Byte Order: Little Endian
CPU(s): 320
On-line CPU(s) list: 0-319
Model name: POWER10 (architected), altivec supported
Model: 2.0 (pvr 0080 0200)
Thread(s) per core: 8
Core(s) per socket: 10
Socket(s): 4
Hypervisor vendor: pHyp
Virtualization type: para
L1d cache: 2.5 MiB (80 instances)
L1i cache: 3.8 MiB (80 instances)
L2 cache: 80 MiB (80 instances)
L3 cache: 320 MiB (80 instances)
NUMA node(s): 4
NUMA node0 CPU(s): 0-79
NUMA node1 CPU(s): 80-159
NUMA node2 CPU(s): 160-239
NUMA node3 CPU(s): 240-319
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: Not affected
Vulnerability Spec store bypass: Not affected
Vulnerability Spectre v1: Mitigation; __user pointer sanitization, ori31 speculation barrier enabled
Vulnerability Spectre v2: Mitigation; Software count cache flush (hardware accelerated), Software link stack flush
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] optree==0.13.1
[pip3] pyzmq==26.2.0
[pip3] torch==2.6.0a0+git9126110
[pip3] transformers==4.47.0
[conda] nomkl 3.0 0 rocketce
[conda] numpy 1.26.4 pypi_0 pypi
[conda] optree 0.13.1 pypi_0 pypi
[conda] pyzmq 26.2.0 py311he15fa53_3 conda-forge
[conda] torch 2.6.0a0+git9126110 pypi_0 pypi
[conda] transformers 4.47.0 pypi_0 pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.6.4.post2.dev334+g85362f02.d20241216
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
Could not collect
LD_LIBRARY_PATH=/home/akashk/miniconda3/envs/vllm_int8/lib/python3.11/site-packages/cv2/../../lib64:/home/akashk/miniconda3/envs/vllm_int8/lib:

Model Input Dumps

No response

🐛 Describe the bug

I am unable to run any model (granite or any model) with auto data type
In case of facebook/opt-125 model (which is part of test case)

If I run examples/offline_inference.py
I get an error: [rank0]: RuntimeError: "reshape_and_cache_cpu_impl" not implemented for 'Half'

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[Adjk-Luis]

when i run "examples/offline_inference/basic/basic.py" example on the branch main, it still has the same problem. the following is my env: INFO 04-03 10:50:27 [init.py:239] Automatically detected platform cpu.
Collecting environment information...
PyTorch version: 2.6.0+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0
Clang version: Could not collect
CMake version: version 4.0.0
Libc version: glibc-2.35

Python version: 3.12.9 (main, Mar 17 2025, 21:01:58) [Clang 20.1.0 ] (64-bit runtime)
Python platform: Linux-6.8.0-57-generic-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
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: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 20
On-line CPU(s) list: 0-19
Vendor ID: GenuineIntel
Model name: 13th Gen Intel(R) Core(TM) i7-13700H
CPU family: 6
Model: 186
Thread(s) per core: 2
Core(s) per socket: 14
Socket(s): 1
Stepping: 2
CPU max MHz: 5000.0000
CPU min MHz: 400.0000
BogoMIPS: 5836.80
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 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 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 user_shstk avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize arch_lbr ibt flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 544 KiB (14 instances)
L1i cache: 704 KiB (14 instances)
L2 cache: 11.5 MiB (8 instances)
L3 cache: 24 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 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 Reg file data sampling: Mitigation; Clear Register File
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
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; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] numpy==2.2.4
[pip3] pyzmq==26.3.0
[pip3] torch==2.6.0+cpu
[pip3] torchaudio==2.6.0+cpu
[pip3] torchvision==0.21.0+cpu
[pip3] transformers==4.50.3
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.8.3.dev218+g01b61136
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
Could not collect

VLLM_CPU_KVCACHE_SPACE=24
VLLM_CPU_OMP_THREADS_BIND=0-17
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1

[Adjk-Luis]

@Akashcodes732 @mgoin can any one help me?

[mitrasarthak20]

try setting the --dtype param to float32 . https://docs.vllm.ai/en/v0.4.0.post1/models/engine_args.html .
Then increase the CPU_KV_CACHE env . By default it is set to 4 . I have increased it to 40 in my use-case .

[MaoJianwei]

try setting the --dtype param to float32 . https://docs.vllm.ai/en/v0.4.0.post1/models/engine_args.html . Then increase the CPU_KV_CACHE env . By default it is set to 4 . I have increased it to 40 in my use-case .

It works for me, thanks!

[MaoJianwei]

VLLM_CPU_KVCACHE_SPACE=64 vllm serve /DeepSeek-R1-Distill-Qwen-14B-vllm/DeepSeek-R1-Distill-Qwen-14B/ --enable-reasoning --reasoning-parser deepseek_r1 --trust-remote-code --served-model-name R114B --dtype float32