Failed to generate LLM docker container

[jingzhaoou]

Describe the bug

I followed the instructions at Section 3.1 from https://github.com/intel/intel-extension-for-pytorch/tree/main/examples/cpu/inference/python/llm to generate a Docker container.

DOCKER_BUILDKIT=1 docker build -f examples/cpu/inference/python/llm/Dockerfile --build-arg COMPILE=ON --build-arg PORT_SSH=2345 -t ipex-llm:main .

And it failed with the following error:

ERROR: No matching distribution found for deepspeed==0.14.5+3d34727

The deepspeed version is from dependency_version.yml. However, the latest DeepSpeed is only 0.14.4.

deepspeed:
  commit: 3d347276ce80e1a29e777c839d1d7fabe8e5f034
  repo: https://github.com/microsoft/DeepSpeed.git
  version: 0.14.5+3d34727

Versions

I checked out the latest IPEX source code at commit: 5cc852eb850f8b42ac2d0fcca5709e6076e8042d

PyTorch version: 2.3.0+cu121 PyTorch CXX11 ABI: No IPEX version: N/A IPEX commit: N/A Build type: N/A

OS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: N/A IGC version: N/A CMake version: version 3.29.6 Libc version: glibc-2.35

Python version: 3.11.9 | packaged by conda-forge | (main, Apr 19 2024, 18:36:13) [GCC 12.3.0] (64-bit runtime) Python platform: Linux-5.15.0-112-generic-x86_64-with-glibc2.35 Is XPU available: N/A DPCPP runtime version: N/A MKL version: N/A GPU models and configuration: N/A Intel OpenCL ICD version: N/A Level Zero version: N/A

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 224 On-line CPU(s) list: 0-223 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) Platinum 8480+ CPU family: 6 Model: 143 Thread(s) per core: 2 Core(s) per socket: 56 Socket(s): 2 Stepping: 8 CPU max MHz: 3800.0000 CPU min MHz: 800.0000 BogoMIPS: 4000.00 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 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 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities Virtualization: VT-x L1d cache: 5.3 MiB (112 instances) L1i cache: 3.5 MiB (112 instances) L2 cache: 224 MiB (112 instances) L3 cache: 210 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-55,112-167 NUMA node1 CPU(s): 56-111,168-223 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: 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; Enhanced 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] mypy-extensions==1.0.0 [pip3] numpy==1.26.4 [pip3] torch==2.3.0 [conda] numpy 1.26.4 pypi_0 pypi [conda] torch 2.3.0 pypi_0 pypi

[jingzhaoou]

I changed the following line

https://github.com/intel/intel-extension-for-pytorch/blob/5cc852eb850f8b42ac2d0fcca5709e6076e8042d/dependency_version.yml#L13

to

  version: 0.14.4

And was able to create the docker container image successfully.

[huiyan2021]

@jingzhaoou Thanks for reporting, we are working on fixing dependency_version.yml, will link the PR here when it is ready.

[huiyan2021]

@jingzhaoou , Just let you know this issue has already been fixed in main branch.