* Copyright 2026 Huawei Technologies Co., Ltd
*
* 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
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* 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 <functional>
#include <utility>
#include <vector>
#include "mfusion/Conversion/Passes.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Pass/PassManager.h"
#include "torch-mlir/Dialect/Torch/IR/TorchDialect.h"
namespace mlir {
namespace TorchD = torch::Torch;
namespace {
struct TorchFusionPass : public PassWrapper<TorchFusionPass, OperationPass<ModuleOp>> {
StringRef getArgument() const final { return "torch-fusion"; }
StringRef getDescription() const final {
return "Torch dialect fusion pipeline (RoPE etc.) before Convert Torch to Mfuse";
}
void getDependentDialects(DialectRegistry ®istry) const override {
registry.insert<TorchD::TorchDialect>();
}
void runOnOperation() override {
using PassCreator = std::function<std::unique_ptr<Pass>()>;
std::vector<std::pair<const char *, PassCreator>> passes = {
{"torch-fuse-rms-norm", []() { return createTorchFuseRmsNormPass(); }},
{"torch-fuse-rope", []() { return createTorchFuseRoPEPass(); }},
};
Operation *op = getOperation();
MLIRContext &ctx = getContext();
PassManager pm(&ctx);
for (const auto &[name, creator] : passes) {
(void)name;
pm.addPass(creator());
}
if (failed(pm.run(op))) {
signalPassFailure();
}
}
};
}
std::unique_ptr<Pass> createTorchFusionPass() { return std::make_unique<TorchFusionPass>(); }
}