---
id: pr-vllm-29067
repo: vllm-project/vllm
pr: 29067
title: '[MoE][Refactor] Make select_experts a non-static method'
author: bnellnm
date: '2025-11-24'
url: https://github.com/vllm-project/vllm/pull/29067
source_category: upstream-code
architectures:
- sm100
tags: []
techniques: []
hardware_features: []
kernel_types: []
languages: []
captured_at: '2026-05-16'
status: merged
merge_sha: 8f066146c395dfadb86914c88d9a0f3173f8fa39
inclusion_reason: defer
changed_paths:
- tests/kernels/moe/test_flashinfer.py
- tests/test_routing_simulator.py
- vllm/model_executor/layers/fused_moe/fused_moe_method_base.py
- vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py
- vllm/model_executor/layers/fused_moe/layer.py
- vllm/model_executor/layers/fused_moe/unquantized_fused_moe_method.py
- vllm/model_executor/layers/quantization/awq_marlin.py
- vllm/model_executor/layers/quantization/bitsandbytes.py
- vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py
- vllm/model_executor/layers/quantization/experts_int8.py
- vllm/model_executor/layers/quantization/fp8.py
- vllm/model_executor/layers/quantization/gguf.py
- vllm/model_executor/layers/quantization/gptq_marlin.py
- vllm/model_executor/layers/quantization/modelopt.py
- vllm/model_executor/layers/quantization/moe_wna16.py
- vllm/model_executor/layers/quantization/mxfp4.py
- vllm/model_executor/layers/quantization/quark/quark_moe.py
- vllm/model_executor/layers/quantization/rtn.py
artifact_dir: evidence/pull-bundles/vllm/gh-29067
head_ref_oid: 0203c66e39e4cd06cca614ed2aae78c4fb964393
---
# [MoE][Refactor] Make select_experts a non-static method

- Repository: `vllm-project/vllm`
- PR: [29067](https://github.com/vllm-project/vllm/pull/29067)
- Decision: `defer`
- Reason: defer

## Changed Paths

- `tests/kernels/moe/test_flashinfer.py`
- `tests/test_routing_simulator.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_method_base.py`
- `vllm/model_executor/layers/fused_moe/fused_moe_modular_method.py`
- `vllm/model_executor/layers/fused_moe/layer.py`
- `vllm/model_executor/layers/fused_moe/unquantized_fused_moe_method.py`
- `vllm/model_executor/layers/quantization/awq_marlin.py`
- `vllm/model_executor/layers/quantization/bitsandbytes.py`
- `vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe.py`
- `vllm/model_executor/layers/quantization/experts_int8.py`
- `vllm/model_executor/layers/quantization/fp8.py`
- `vllm/model_executor/layers/quantization/gguf.py`
- `vllm/model_executor/layers/quantization/gptq_marlin.py`
- `vllm/model_executor/layers/quantization/modelopt.py`
- `vllm/model_executor/layers/quantization/moe_wna16.py`
- `vllm/model_executor/layers/quantization/mxfp4.py`
- `vllm/model_executor/layers/quantization/quark/quark_moe.py`
- `vllm/model_executor/layers/quantization/rtn.py`

## Evidence Bundle

`evidence/pull-bundles/vllm/gh-29067`
