Update dependency zentorch to >=2.12.0.1,<2.12.1.0

[konflux-internal-p02]

This PR contains the following updates:

Package	Change	Age	Confidence
zentorch (source)	>=2.11.0.0,<2.11.1.0 → >=2.12.0.1,<2.12.1.0

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Release Notes

amd/ZenDNN-pytorch-plugin (zentorch)

v2.12.0.1

Compare Source

v2.12.0.0: zentorch Release v2.12.0.0

Compare Source

Versioning Change

Starting this release, zentorch adopts a PyTorch-aligned versioning scheme: MAJOR.MINOR.PATCH.PLUGIN_PATCH. The first three segments match the PyTorch version; only PLUGIN_PATCH is maintained by zentorch. Weekly development builds are published separately as zentorch-weekly on PyPI.

	Previous	This Release
zentorch	5.2.1	2.12.0.0

Compatibility Matrix

Dependency	Supported Versions
PyTorch	2.12.0, 2.11.0
ZenDNN	5.2.2
Python	3.10 – 3.13
vLLM	0.20.2, 0.20.1, 0.20.0
TorchAO	0.17.0, 0.16.0

Deprecations & Removed Support

• PyTorch 2.10.0 support dropped — minimum required version is now 2.11.0 (N-1 policy).
• vLLM < 0.20.0 no longer supported — versions 0.15.0 through 0.19.1 have been removed.
• Dual-install guard added — importing zentorch now raises ImportError if both zentorch and zentorch-weekly are installed simultaneously.

New Features

• Fused MoE (Mixture-of-Experts) operator — new zentorch op for MoE inference.
• Group MatMul integration — core group matmul support in zentorch.
• ZenDNN SDPA (Scaled Dot-Product Attention) — integrated as a zentorch op.
• QKV fusion pass in export path — enables fused QKV projections during torch.export.
• Linear AOT Inductor (AOTI) integration — linear ops now work with torch._export + AOTI.

Bug Fixes

• Added prepack and post-op validation checks in QKV fusion pass.
• Added feature gate to disable fp16 op replacement when not applicable.
• Fixed PyTorch 2.12 inductor hook signature and test dependencies.

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