Set warn_only for unsupported deterministic algorithms

[Tcc0403]

Summary

Before the fix (current main branch):

❯ python3 -m pytest test/convergence/bf16/test_mini_models.py -k qwen3_5_moe
========================================================= test session starts =========================================================
platform linux -- Python 3.13.1, pytest-9.0.2, pluggy-1.6.0
rootdir: /home/tcc/Liger-Kernel
configfile: pyproject.toml
plugins: anyio-4.12.1, rerunfailures-16.1, cov-7.0.0, asyncio-1.3.0, xdist-3.8.0
asyncio: mode=Mode.AUTO, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 32 items / 31 deselected / 1 selected

test/convergence/bf16/test_mini_models.py::test_mini_model[mini_qwen3_5_moe-32-1e-05-dtype27-0.05-0.2-0.1-0.1-0.01-0.01] FAILED [100%]

E       RuntimeError: _histc_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True)'. You can turn off determinism just for this operation, or you can use the 'warn_only=True' option, if that's acceptable for your application. You can also file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation.

.venv/lib/python3.13/site-packages/transformers/integrations/moe.py:369: RuntimeError

After the fix (this PR):

❯ python3 -m pytest test/convergence/bf16/test_mini_models.py -k qwen3_5_moe
========================================================= test session starts =========================================================
platform linux -- Python 3.13.1, pytest-9.0.2, pluggy-1.6.0
rootdir: /home/tcc/Liger-Kernel
configfile: pyproject.toml
plugins: anyio-4.12.1, rerunfailures-16.1, cov-7.0.0, asyncio-1.3.0, xdist-3.8.0
asyncio: mode=Mode.AUTO, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 32 items / 31 deselected / 1 selected

test/convergence/bf16/test_mini_models.py::test_mini_model[mini_qwen3_5_moe-32-1e-05-dtype27-0.05-0.2-0.1-0.1-0.01-0.01] PASSED [100%]

Root cause:
torch.histc doesn't support deterministic algorithm
https://github.com/huggingface/transformers/blob/adc2f16bf1824f7b57c790b4cf3bc48f95ecec69/src/transformers/integrations/moe.py#L373

Testing Done

• Hardware Type:
• run make test to ensure correctness
• run make checkstyle to ensure code style
• run make test-convergence to ensure convergence

[Mecoli1219]

@Tcc0403 . Thanks for catching it. Just out of curiosity. Could you also provide the Torch & Transformers version? I couldn't reproduce the error with torch==2.8.0, transformers==5.3.0.

[Tcc0403]

❯ python -m liger_kernel.env_report
Environment Report:
-------------------
Operating System: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.39
Python version: 3.13.1
Liger Kernel version: 0.6.4
PyTorch version: 2.7.1+cu126
CUDA version: 12.6
HIP(ROCm) version: Not available
Triton version: 3.3.1
Transformers version: 5.3.0
XPU version: XPU Not Available

Oh I'm on torch==2.7.1, will check later versions