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be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 <mlir/IR/MLIRContext.h>
#include <mlir/IR/PatternMatch.h>
#include <mlir/Pass/Pass.h>
#include <mlir/Transforms/GreedyPatternRewriteDriver.h>
#include "tf_dialect.h"
#include "ncnn_dialect.h"
using namespace mlir;
namespace mlir {
namespace ncnn {
#include "ncnn_rewriter.inc"
class NCNNOptimizePass : public PassWrapper<NCNNOptimizePass, FunctionPass>
{
public:
void runOnFunction();
};
void NCNNOptimizePass::runOnFunction()
{
mlir::OwningRewritePatternList patterns;
mlir::ncnn::populateWithGenerated(&getContext(), patterns);
(void)mlir::applyPatternsAndFoldGreedily(getFunction(), std::move(patterns));
}
std::unique_ptr<OperationPass<FuncOp> > createNCNNOptimizePass()
{
return std::make_unique<NCNNOptimizePass>();
}
static PassRegistration<NCNNOptimizePass> pass("ncnn-optimize", "ncnn optimization");
} // namespace ncnn
} // namespace mlir
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