Xinyu Chen 3b1d440ede

CustomOp: grouped topk (#29575) ...

Signed-off-by: Xinyu Chen <xinyu1.chen@intel.com>

2025-12-17 17:43:00 +08:00

..

configs

Add Mistral Large 3 and Ministral 3 (#29757)

2025-12-02 10:29:00 +00:00

__init__.py

CustomOp: grouped topk (#29575)

2025-12-17 17:43:00 +08:00

all2all_utils.py

[Feat][Perf] Enable deepep-low-latency with round-robin expert placement. (#28449)

2025-11-19 13:46:24 +01:00

batched_deep_gemm_moe.py

[Feature] Add SM103 (Blackwell Ultra) Support to vLLM (#30484)

2025-12-12 19:34:23 -08:00

config.py

gptq marlin quantization support for fused moe with lora (#30254)

2025-12-12 02:27:22 +00:00

cpu_fused_moe.py

[fix][cpu] Use a SwigluOAI impl which supports interleaved gate-up wei (#29273)

2025-11-25 15:11:11 +08:00

cutlass_moe.py

[Feat] Refactor for parallel_config in FusedMoEModularKernel (#30282)

2025-12-15 04:21:36 +00:00

deep_gemm_moe.py

[Feat] Refactor for parallel_config in FusedMoEModularKernel (#30282)

2025-12-15 04:21:36 +00:00

deep_gemm_utils.py

[Perf] Optimize deepgemm experts initialization, 3.9% TTFT improvement (#30494)

2025-12-11 17:28:34 -05:00

deepep_ht_prepare_finalize.py

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deepep_ll_prepare_finalize.py

[MoE] CuteDSL MoE with Nvfp4 DeepEP dispatch (#27141)

2025-11-30 16:05:32 -08:00

flashinfer_cutedsl_moe.py

[MoE] CuteDSL MoE with Nvfp4 DeepEP dispatch (#27141)

2025-11-30 16:05:32 -08:00

flashinfer_cutlass_moe.py

Feature: Support Relu2 in FusedMoE fp8 cutlass path (#27261)

2025-11-16 13:39:44 -05:00

flashinfer_cutlass_prepare_finalize.py

[Kernels] Enable FlashInfer FP8 Blockscale on SM90 (for TEP DSR1) (#27134)

2025-11-14 08:02:44 -08:00

flashinfer_trtllm_moe.py

[Performance] Support FP8 flashinfer TRTLLM MOE on Qwen3 and Qwen-3next (#27492)

2025-11-10 12:34:57 -05:00

fused_batched_moe.py

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fused_marlin_moe.py

[Kernel][MoE] optimize moe_align_block_size (#29642)

2025-12-07 01:58:47 -08:00

fused_moe_method_base.py

[Perf] Do FP4 quant before All gather on flashinfer trtllmgen MOE (#30014)

2025-12-16 13:01:48 -08:00

fused_moe_modular_method.py

[Feat] Refactor for parallel_config in FusedMoEModularKernel (#30282)

2025-12-15 04:21:36 +00:00

fused_moe.py

CustomOp: grouped topk (#29575)

2025-12-17 17:43:00 +08:00

gpt_oss_triton_kernels_moe.py

[LoRA] Support FusedMoE LoRA Triton kernel for mxfp4 (#29708)

2025-11-30 10:37:25 +08:00

layer.py

CustomOp: grouped topk (#29575)

2025-12-17 17:43:00 +08:00

modular_kernel.py

[Feat] Refactor for parallel_config in FusedMoEModularKernel (#30282)

2025-12-15 04:21:36 +00:00

moe_align_block_size.py

[Kernel][MoE] optimize moe_align_block_size (#29642)

2025-12-07 01:58:47 -08:00

moe_pallas.py

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moe_permute_unpermute.py

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moe_torch_iterative.py

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pplx_prepare_finalize.py

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prepare_finalize.py

[Feature] Shared Experts Overlap with FI deepgemm swap kernel, 2.2% throughput improvement and 3.6% TTFT improvement (#28879)

2025-11-20 18:41:49 -07:00

rocm_aiter_fused_moe.py

[ROCm][MXFP4] Infer w4a4 quant method in rocm aiter fused moe (#29775)

2025-12-05 11:01:16 +00:00

routing_simulator.py

[Bugfix] Fix MoE Routing Simulation (#28002)

2025-11-03 22:26:49 +00:00

shared_fused_moe.py

[Feat] Enable eplb with default all2all backend (#30559)

2025-12-16 10:33:52 -05:00

topk_weight_and_reduce.py

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triton_deep_gemm_moe.py

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trtllm_moe.py

[BugFix][Performance] Restore flashinfer autotuning for all scenarios (#27904)

2025-11-04 15:56:21 +08:00

unquantized_fused_moe_method.py

[MoE][Refactor] Remove most arguments to FusedMoEMethodBase.apply (#29066)

2025-12-09 13:48:25 -08:00

utils.py

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