trt_op_converter_pass.cc

// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "paddle/infrt/dialect/tensorrt/trt_op_converter_pass.h"
#include <mlir/IR/Builders.h>
#include <mlir/Transforms/DialectConversion.h>
#include "paddle/infrt/dialect/infrt_base.h"
#include "paddle/infrt/dialect/pd_ops.h"

namespace infrt {
namespace trt {

#include "paddle/infrt/dialect/tensorrt/pd_lower_to_trt.cpp.inc"  // NOLINT

void TRTOpConverterPass::runOnOperation() {
  // The first thing to define is the conversion target. This will define the
  // final target for this lowering.
  ::mlir::ConversionTarget target(getContext());

  // We define the specific operations, or dialects, that are legal targets for
  // this lowering. In our case, we are lowering to TensorRTDialect from
  // PaddleDialect
  target.addLegalDialect<TensorRTDialect>();

  // Now that the conversion target has been defined, we just need to provide
  // the set of patterns that will lower the TensorRT operations.
  ::mlir::RewritePatternSet patterns(&getContext());
  populateWithGenerated(patterns);

  // With the target and rewrite patterns defined, we can now attempt the
  // conversion. The conversion will signal failure if any of our `illegal`
  // operations were not converted successfully.
  if (::mlir::failed(
          applyPartialConversion(getOperation(), target, std::move(patterns))))
    signalPassFailure();
}

}  // namespace trt
}  // namespace infrt