### What this PR does / why we need it? This PR introduces the Ascend implementation of the `dispatch_ffn_combine` kernel and wires it into the vLLM-Ascend runtime, together with follow‑up fixes to ensure the kernel builds and runs correctly in CI. - Add full host and device implementation of the `dispatch_ffn_combine` kernel under `csrc/dispatch_ffn_combine`, including tiling logic, MOE routing helpers, and kernel utilities for quantized FFN dispatch. - Integrate the new kernel with the PyTorch binding (csrc/torch_binding.cpp, csrc/torch_binding_meta.cpp) and the Ascend runtime (vllm_ascend/ascend_forward_context.py, vllm_ascend/worker/model_runner_v1.py). - Extend fused MoE communication and token dispatch support in `vllm_ascend/ops/fused_moe`, adding methods/utilities needed by the new dispatch path. - Update quantization logic in vllm_ascend/quantization/w8a8_dynamic.py to support the new FFN dispatch flow. - Fix kernel build issues by adjusting `csrc/build_aclnn.sh`, CMake configuration, and include/namespace usage in the new kernel files. - Add an end‑to‑end nightly test `tests/e2e/nightly/ops/test_dispatch_ffn_combine.py` and helper utilities in `vllm_ascend/utils.py` to validate the new kernel. ### Does this PR introduce _any_ user-facing change? ### How was this patch tested? - vLLM version: v0.12.0 - vLLM main: https://github.com/vllm-project/vllm/commit/v0.12.0 --------- Signed-off-by: mojave2 <chenchen145@huawei.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
51 lines
2.6 KiB
C++
51 lines
2.6 KiB
C++
/**
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* Copyright (c) 2025 Huawei Technologies Co., Ltd.
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* This file is a part of the CANN Open Software.
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* Licensed under CANN Open Software License Agreement Version 1.0 (the "License").
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* Please refer to the License for details. You may not use this file except in compliance with the License.
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* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
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* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
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* See LICENSE in the root of the software repository for the full text of the License.
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*/
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/* !
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* \file dispatch_ffn_combine.cpp
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* \brief
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*/
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#include "kernel_operator.h"
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#include "lib/matmul_intf.h"
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#include "dispatch_ffn_combine_tiling.h"
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#include "dispatch_ffn_combine.h"
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using namespace AscendC;
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using namespace DispatchFFNCombineImpl;
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extern "C" __global__ __aicore__ void dispatch_ffn_combine(GM_ADDR x, GM_ADDR w1, GM_ADDR w2, GM_ADDR expertId, GM_ADDR scale1, GM_ADDR scale2, GM_ADDR probs,
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GM_ADDR c, GM_ADDR workspaceGM, GM_ADDR tilingGM)
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{
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REGISTER_TILING_DEFAULT(DispatchFFNCombineTilingData);
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if (TILING_KEY_IS(1000000)) {
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KERNEL_TASK_TYPE(1000000, KERNEL_TYPE_MIX_AIC_1_2);
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GET_TILING_DATA_WITH_STRUCT(DispatchFFNCombineTilingData, tilingData, tilingGM);
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DispatchFFNCombine<int8_t, DTYPE_W1, DTYPE_OUT, false, true> op;
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op.Init(x, w1, w2, expertId, scale1, scale2, probs, c, workspaceGM, tilingGM);
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op.Process();
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} else if (TILING_KEY_IS(1000001)) {
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KERNEL_TASK_TYPE(1000001, KERNEL_TYPE_MIX_AIC_1_2);
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GET_TILING_DATA_WITH_STRUCT(DispatchFFNCombineTilingData, tilingData, tilingGM);
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DispatchFFNCombine<int8_t, DTYPE_W1, DTYPE_OUT, true, false> op;
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op.Init(x, w1, w2, expertId, scale1, scale2, probs, c, workspaceGM, tilingGM);
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op.Process();
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} else if (TILING_KEY_IS(1000010)) {
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KERNEL_TASK_TYPE(1000010, KERNEL_TYPE_MIX_AIC_1_2);
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GET_TILING_DATA_WITH_STRUCT(DispatchFFNCombineTilingData, tilingData, tilingGM);
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DispatchFFNCombine<int8_t, DTYPE_W1, DTYPE_OUT, false, true> op;
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op.Init(x, w1, w2, expertId, scale1, scale2, probs, c, workspaceGM, tilingGM);
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op.Process();
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} else if (TILING_KEY_IS(1000011)) {
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KERNEL_TASK_TYPE(1000011, KERNEL_TYPE_MIX_AIC_1_2);
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GET_TILING_DATA_WITH_STRUCT(DispatchFFNCombineTilingData, tilingData, tilingGM);
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DispatchFFNCombine<int8_t, DTYPE_W1, DTYPE_OUT, true, true> op;
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op.Init(x, w1, w2, expertId, scale1, scale2, probs, c, workspaceGM, tilingGM);
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op.Process();
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}
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} |