Files
xc-llm-ascend/csrc/utils/inc/tiling/tiling_templates_registry.h
Chenxi Qian 554f16ae1f [Kernel] add custom op GmmSwigluQuantWeightNzTensorList (#3804)
### What this PR does / why we need it?

This PR introduces support for adding custom CANN `aclnn` ops to
`vllm-ascend`, allowing users to define and use their own custom
operators.

Key changes include:
- Building and installing custom ops into the `vllm-ascend`-specified
directory
- Binding the `aclnn` op interface to the `torch.ops._C_ascend` module
- Enabling invocation of these ops within `vllm-ascend`

This PR includes a sample custom op:
`aclnnGroupedMatmulSwigluQuantWeightNzTensorList`, which is adapted from
the CANN operator
[`aclnnGroupedMatmulSwigluQuantWeightNZ`](https://www.hiascend.com/document/detail/zh/canncommercial/83RC1/API/aolapi/context/aclnnGroupedMatmulSwigluQuantWeightNZ.md).
Its input parameters `weight` and `weight_scale` now accept
`list[torch.Tensor]` (i.e., `at::TensorList`).

### Does this PR introduce _any_ user-facing change?

No.


- vLLM version: v0.11.2

---------

Signed-off-by: QianChenxi <chenxi.qian.cq@outlook.com>
2025-11-28 18:06:39 +08:00

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5.8 KiB
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/**
* Copyright (c) 2023-2024 Huawei Technologies Co., Ltd.
* This file is a part of the CANN Open Software.
* Licensed under CANN Open Software License Agreement Version 1.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
/*!
* \file tiling_templates_registry.h
* \brief
*/
#pragma once
#include <map>
#include <string>
#include <memory>
#include <exe_graph/runtime/tiling_context.h>
#include "tiling/tiling_base.h"
#include "log/ops_log.h"
#include "error/ops_error.h"
namespace optiling {
template <typename T> std::unique_ptr<TilingBaseClass> TILING_CLASS(gert::TilingContext *context)
{
return std::unique_ptr<T>(new (std::nothrow) T(context));
}
using TilingClassCase = std::unique_ptr<TilingBaseClass> (*)(gert::TilingContext *);
class TilingCases {
public:
explicit TilingCases(std::string op_type) : op_type_(std::move(op_type))
{
}
template <typename T> void AddTiling(int32_t priority)
{
OPS_ERR_IF(cases_.find(priority) != cases_.end(),
OPS_REPORT_VECTOR_INNER_ERR(op_type_, "There are duplicate registrations."), return);
cases_[priority] = TILING_CLASS<T>;
OPS_ERR_IF(
cases_[priority] == nullptr,
OPS_REPORT_VECTOR_INNER_ERR(op_type_, "Register op tiling func failed, please check the class name."),
return);
}
const std::map<int32_t, TilingClassCase> &GetTilingCases()
{
return cases_;
}
private:
std::map<int32_t, TilingClassCase> cases_;
const std::string op_type_;
};
class TilingRegistry {
public:
TilingRegistry() = default;
#ifdef ASCENDC_OP_TEST
static TilingRegistry &GetInstance();
#else
static TilingRegistry &GetInstance()
{
static TilingRegistry registry_impl_;
return registry_impl_;
}
#endif
std::shared_ptr<TilingCases> RegisterOp(const std::string &op_type)
{
if (registry_map_.find(op_type) == registry_map_.end()) {
registry_map_[op_type] = std::shared_ptr<TilingCases>(new (std::nothrow) TilingCases(op_type));
}
OPS_ERR_IF(registry_map_[op_type] == nullptr,
OPS_REPORT_VECTOR_INNER_ERR(op_type, "Register tiling func failed, please check the class name."),
return nullptr);
return registry_map_[op_type];
}
ge::graphStatus DoTilingImpl(gert::TilingContext *context)
{
const char *op_type = context->GetNodeType();
auto tilingTemplateRegistryMap = GetTilingTemplates(op_type);
for (auto it = tilingTemplateRegistryMap.begin(); it != tilingTemplateRegistryMap.end(); ++it) {
auto tilingTemplate = it->second(context);
if (tilingTemplate != nullptr) {
ge::graphStatus status = tilingTemplate->DoTiling();
if (status != ge::GRAPH_PARAM_INVALID) {
OPS_LOG_D(context, "Do general op tiling success priority=%d", it->first);
return status;
}
OPS_LOG_D(context, "Ignore general op tiling priority=%d", it->first);
}
}
OPS_REPORT_VECTOR_INNER_ERR(op_type, "Do op tiling failed, no valid template is found.");
return ge::GRAPH_FAILED;
}
ge::graphStatus DoTilingImpl(gert::TilingContext *context, const std::vector<int32_t> &priorities)
{
const char *op_type = context->GetNodeType();
auto tilingTemplateRegistryMap = GetTilingTemplates(op_type);
for (auto priorityId : priorities) {
auto templateFunc = tilingTemplateRegistryMap[priorityId](context);
if (templateFunc != nullptr) {
ge::graphStatus status = templateFunc->DoTiling();
if (status == ge::GRAPH_SUCCESS) {
OPS_LOG_D(context, "Do general op tiling success priority=%d", priorityId);
return status;
}
OPS_LOG_D(context, "Ignore general op tiling priority=%d", priorityId);
}
}
return ge::GRAPH_FAILED;
}
const std::map<int32_t, TilingClassCase> &GetTilingTemplates(const std::string &op_type)
{
OPS_ERR_IF(registry_map_.find(op_type) == registry_map_.end(),
OPS_REPORT_VECTOR_INNER_ERR(op_type, "Get op tiling func failed, please check the op name."),
return empty_tiling_case_);
return registry_map_[op_type]->GetTilingCases();
}
private:
std::map<std::string, std::shared_ptr<TilingCases>> registry_map_;
const std::map<int32_t, TilingClassCase> empty_tiling_case_ {};
};
class Register {
public:
explicit Register(std::string op_type) : op_type_(std::move(op_type))
{
}
template <typename T> Register &tiling(int32_t priority)
{
auto tilingCases = TilingRegistry::GetInstance().RegisterOp(op_type_);
OPS_ERR_IF(tilingCases == nullptr,
OPS_REPORT_VECTOR_INNER_ERR(op_type_, "Register op tiling failed, please the op name."),
return *this);
tilingCases->AddTiling<T>(priority);
return *this;
}
private:
const std::string op_type_;
};
// op_type: 算子名称, class_name: 注册的 tiling 类,
// priority: tiling 类的优先级, 越小表示优先级越高, 即被选中的概率越大
#define REGISTER_TILING_TEMPLATE(op_type, class_name, priority) \
static Register VAR_UNUSED##op_type_##class_name##priority_register = Register(op_type).tiling<class_name>(priority)
} // namespace optiling