[CPU][Zen] Route BF16 MoE inference through zentorch on AMD - #44201
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AndreasKaratzas
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LGTM
cc @tjtanaa could you review this one as well?
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✅ Triggered Buildkite CI #82700 for commit |
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- Routes MoE FFN to zentorch_fused_moe on AMD Zen CPU when the op is registered. Signed-off-by: priyansh jain <priyansh.jain2@amd.com> Co-authored-by: NimishaG-dev <nimisha.gupta@amd.com> Change-Id: I5a9526abe985c60f7818aa62df828d24195705cc
- Drop `_moe_activation_to_str`; normalize activation inline via `str(...).lower()` - Move `is_zentorch_moe_supported` skip logs from info to debug with clearer messages - Remove redundant info_once log in `CPUFusedMOE.__init__` - Add tests for zentorch MoE dispatch selection and the `forward_zentorch` path Signed-off-by: priyansh jain <priyansh.jain2@amd.com> Change-Id: Ia7c77aca34604e6f56bceb0eba4a4caaecba673a
Rebase onto main after cpu_fused_moe.py was removed (vllm-project#50133) and port the zentorch MoE path into CPUUnquantizedExperts: - Gate dispatch via is_zentorch_moe_supported() in process_weights_after_loading() (skip weight prepack when active) - Call torch.ops.zentorch.zentorch_fused_moe from apply() when enabled - Allow zentorch-eligible configs in is_supported_config() (including X86/Arm overrides) without grouped-gemm alignment requirements - Add is_zentorch_moe_config_supported() and debug skip logs in zentorch_utils.py - Add tests/kernels/moe/test_zen_cpu_fused_moe.py for dispatch, unaligned shapes, forward correctness, and fallback behavior Signed-off-by: priyansh jain <priyansh.jain2@amd.com> Co-authored-by: NimishaG-dev <nimisha.gupta@amd.com> Change-Id: If56b2a07f5eba910ac47e966dae199f147b5fdbe
The zen extra pinned zentorch 2.11.0.0, which predates the fused MoE ops the CPU MoE path now dispatches to. Update the pin so a fresh `pip install -e .[zen]` pulls a version that provides them. Signed-off-by: priyansh jain <priyansh.jain2@amd.com> Change-Id: Id2f2fd224a6177e724a2525a07deb787e460f539
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/ci run |
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✅ Triggered Buildkite CI #83170 for commit |
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/ci run |
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✅ Triggered Buildkite CI #83176 for commit |
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/ci run |
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✅ Triggered Buildkite CI #83204 for commit |
Routes CPU MoE on AMD Zen through a zentorch-backed fused MoE path in
CPUFusedMOE, ahead of the existing AMX grouped-GEMM / OneDNN / per-expert PyTorch fallbacks:forward_zentorch— MoE FFN viatorch.ops.zentorch.zentorch_fused_moe(standard[E, ...]expert weights; nocpu_prepack_moe_weight).is_zentorch_moe_supported()— capability check atCPUFusedMOEinit: op registered,moe_config.is_act_and_mulwhen present, and activation in{silu, gelu, gelu_tanh, swigluoai}.Dispatch gates on
current_platform.is_zen_cpu()plushas_zentorch_op(["zentorch_fused_moe"]). When supported,__init__setsforward_method = forward_zentorchandisa = "none"and returns early (no weight prepack). On Zen CPU when zentorch is unavailable or the layer is unsupported, init logs once and falls through toforward_grouped_gemm/forward_torchas today. No behaviour change on non-Zen CPUs, GPUs, or XPU.Also adds
_gelu_tanh_and_multo_CPU_MOE_ACT_FNso the native CPU MoE path supportsgelu_tanhwhen the zentorch fast path is not taken (e.g. Gemma 4).