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pydantic < 2.0.0 is starting to conflict with other dependencies
Describe the bug The version constraint of pydantic < 2.0.0 is conflicting with other dependencies.
To Reproduce
You could try to install both hivemind
and horde-sdk with pip. It will fail with dependency conflicts. If you try to install horde-sdk
in a venv, it breaks hivemind
:
vtx-lab-1 | File "/usr/local/lib/python3.10/dist-packages/hivemind/dht/schema.py", line 168, in __get_validators__
vtx-lab-1 | yield from super().__get_validators__()
vtx-lab-1 | AttributeError: 'super' object has no attribute '__get_validators__'
Note At some point, I may attempt the fix myself. The problem is, I've never used pydantic, and I don't know what kind of cascading effects it may have on hivemind's dependent packages. For now, I'm stuck - and I would definitely appreciate a fix from someone else if possible.
Environment
- python 3.10.12
- hivemind 1.1.5 (as required by hivemind-lightning)
- output from pytorch environment collection script:
PyTorch version: 2.1.1+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: 14.0.0-1ubuntu1.1
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.5.9-arch2-1-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.2.140
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1070
Nvidia driver version: 535.113.01
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: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i7-4790K CPU @ 4.00GHz
CPU family: 6
Model: 60
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
Stepping: 3
CPU max MHz: 4400.0000
CPU min MHz: 800.0000
BogoMIPS: 7998.77
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 est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm cpuid_fault epb invpcid_single pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt dtherm ida arat pln pts md_clear flush_l1d
L1d cache: 128 KiB (4 instances)
L1i cache: 128 KiB (4 instances)
L2 cache: 1 MiB (4 instances)
L3 cache: 8 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-7
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported
Vulnerability L1tf: Mitigation; PTE Inversion
Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown: Mitigation; PTI
Vulnerability Mmio stale data: Unknown: No mitigations
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; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Mitigation; Microcode
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==1.26.2
[pip3] onnxruntime==1.16.2
[pip3] pytorch-lightning==2.1.2
[pip3] pytorch_optimizer==2.12.0
[pip3] torch==2.1.1
[pip3] torchmetrics==1.2.0
[pip3] torchvision==0.16.1
[pip3] triton==2.1.0
[conda] Could not collect
Hello :) Any chance to get pydantic 2+ working with Hivemind any time soon?
EDIT: pydantic < 2 is breaking other packages like LiteLLM I'm trying to use Petals with.