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project_6/ex_engine/csrc/ilu_kernel_norm.cpp

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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 2025 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.
==============================================================================*/
#include "ilu_ops_api.h"
#include "utils.h"
using namespace ixformer;
namespace xllm::kernel::ilu {
void residual_layer_norm(torch::Tensor& input,
torch::Tensor& output,
std::optional<torch::Tensor>& residual,
torch::Tensor& weight,
std::optional<torch::Tensor>& bias,
std::optional<torch::Tensor>& residual_out,
double eps) {
auto residual_ = residual.value_or(torch::zeros_like(input));
torch::Tensor residual_out_ = residual_out.value_or(torch::zeros_like(input));
infer::residual_rms_norm(input,
residual_,
weight,
output,
residual_out_,
bias,
/*alpha=*/1.0,
eps,
false);
}
void rms_norm(torch::Tensor& output,
torch::Tensor& input,
torch::Tensor& weight,
double eps) {
std::optional<torch::Tensor> fused_bias = std::nullopt;
infer::rms_norm(input, weight, output, fused_bias, eps);
}
} // namespace xllm::kernel::ilu