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project_6_89d52222/ex_engine/csrc/common_moe_fused_topk.h

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ref(EX): import upstream ILU kernels + xllm MoE CUDA sources into ex_engine Copied from upstream_ref (NOT rewritten — exact upstream code): ixformer C++ API (the authoritative header): include/ixformer.h — ixformer::infer namespace: topk_softmax, moe_compute_token_index_api, moe_w16a16_group_gemm, moe_expand_input, moe_output_reduce_sum, silu_and_mul, rms_norm, xllm_paged_attention, etc. include/ilu_ops_api.h — xllm::kernel::ilu namespace: moe_active_topk, moe_gen_idx, moe_expand_input, group_gemm, moe_combine_result, batch_prefill, batch_decode, rms_norm, matmul, act_and_mul, etc. ILU kernel wrappers (call ixformer::infer directly): csrc/ilu_kernel_fused_moe.cpp — topk routing + gen_idx + expand + combine csrc/ilu_kernel_group_gemm.cpp — batched expert GEMM csrc/ilu_kernel_{activation,norm,rope,matmul,attention}.cpp ILU layer implementations (full pipeline): csrc/ilu_layer_fused_moe.{cpp,h} — 797 lines, the complete MoE pipeline that competitor 168 ran as corex_moe.py csrc/ilu_layer_attention.{cpp,h} — prefill/decode attention dispatch CUDA MoE kernels (from xllm + ds_vllm): csrc/moe/moe_topk_softmax_kernels.cuh — CUB BlockReduce + warp topk csrc/moe/moe_topk_sigmoid_kernels.cuh — sigmoid scoring variant csrc/moe/moe_topk.cuh + moe_fused_topk.cu — entry points csrc/moe/moeTopKFuncs.cuh — TRT-LLM derived vllm-compatible topk csrc/moe/moe_ops.h + moe_align_sum_kernels.cu — alignment kernels Common layer headers: csrc/common_fused_moe{,_base}.h + common_moe_fused_topk.{cpp,h}
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/* Copyright 2026 The xLLM Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://github.com/jd-opensource/xllm/blob/main/LICENSE
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#pragma once
#include <torch/torch.h>
#include "framework/model/model_args.h"
#include "framework/quant_args.h"
#include "framework/state_dict/state_dict.h"
#include "framework/state_dict/utils.h"
namespace xllm {
namespace layer {
class MoEFusedTopkImpl : public torch::nn::Module {
public:
MoEFusedTopkImpl(const ModelArgs& model_args,
const QuantArgs& quant_args,
const torch::TensorOptions& options);
std::tuple<torch::Tensor, torch::Tensor> forward(
torch::Tensor& router_logits);
void load_state_dict(const StateDict& state_dict);
private:
int64_t topk_;
int64_t num_expert_group_;
int64_t topk_group_;
double route_scale_;
int64_t hidden_size_;
bool renormalize_;
std::string scoring_func_;
DEFINE_WEIGHT(e_score_correction_bias);
};
TORCH_MODULE(MoEFusedTopk);
} // namespace layer
} // namespace xllm