blob: c572298d2cf9e76a16aaf8af9c4a0e9f71056f39 [file] [log] [blame]
// Copyright 2019 Google LLC
//
// 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://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 "third_party/llvm/llvm/projects/google_mlir/include/mlir/IR/Builders.h"
#include "third_party/llvm/llvm/projects/google_mlir/include/mlir/IR/PatternMatch.h"
#include "third_party/llvm/llvm/projects/google_mlir/include/mlir/Pass/Pass.h"
#include "third_party/llvm/llvm/projects/google_mlir/include/mlir/Pass/PassRegistry.h"
#include "third_party/mlir_edge/iree/compiler/IR/Ops.h"
#include "third_party/mlir_edge/iree/compiler/IR/StructureOps.h"
namespace mlir {
namespace iree_compiler {
namespace {
struct LegalizeTensorMemRefPass
: public FunctionPass<LegalizeTensorMemRefPass> {
void runOnFunction() override {
for (auto& block : getFunction().getBlocks()) {
for (auto& op : block.getOperations()) {
if (isa<IREE::TensorToMemRefOp>(op) &&
isa_and_nonnull<IREE::MemRefToTensorOp>(
op.getOperand(0)->getDefiningOp())) {
op.getResult(0)->replaceAllUsesWith(
op.getOperand(0)->getDefiningOp()->getOperand(0));
}
}
// Performs cleanup of ops removed above.
OwningRewritePatternList patterns;
applyPatternsGreedily(getFunction(), patterns);
}
}
};
} // namespace
std::unique_ptr<OpPassBase<FuncOp>> createLegalizeTensorMemRefPass() {
return std::make_unique<LegalizeTensorMemRefPass>();
}
static PassRegistration<LegalizeTensorMemRefPass> legalize_tensor_memref_pass(
"iree-legalize-tensor-memref", "Remove extra tensor/memref operations.");
} // namespace iree_compiler
} // namespace mlir