mlir/test/lib/Dialect/Linalg/TestPadFusion.cpp

   1 //===- TestPadFusion.cpp - Test fusion of pad op with Linalg ops ---------===//
   2 //
   3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
   4 // See https://llvm.org/LICENSE.txt for license information.
   5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
   6 //
   7 //===----------------------------------------------------------------------===//
   8 //
   9 // This file implements a pass for testing fusion of pad ops with its producer
  10 // Linalg op.
  11 //
  12 //===----------------------------------------------------------------------===//
  13
  14 #include "mlir/Dialect/Affine/IR/AffineOps.h"
  15 #include "mlir/Dialect/Linalg/Transforms/Transforms.h"
  16 #include "mlir/Pass/Pass.h"
  17 #include "mlir/Pass/PassManager.h"
  18 #include "mlir/Transforms/GreedyPatternRewriteDriver.h"
  19
  20 using namespace mlir;
  21
  22 namespace {
  23 struct TestPadFusionPass
  24     : public PassWrapper<TestPadFusionPass, OperationPass<>> {
  25   MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestPadFusionPass)
  26
  27   void getDependentDialects(DialectRegistry &registry) const override {
  28     registry.insert<affine::AffineDialect, linalg::LinalgDialect,
  29                     tensor::TensorDialect>();
  30   }
  31
  32   StringRef getArgument() const final { return "test-linalg-pad-fusion"; }
  33   StringRef getDescription() const final { return "Test PadOp fusion"; }
  34
  35   void runOnOperation() override {
  36     MLIRContext *context = &getContext();
  37     RewritePatternSet patterns(context);
  38     linalg::populateFuseTensorPadWithProducerLinalgOpPatterns(patterns);
  39     if (failed(applyPatternsGreedily(getOperation(), std::move(patterns))))
  40       return signalPassFailure();
  41   }
  42 };
  43 } // namespace
  44
  45 namespace mlir {
  46 namespace test {
  47 void registerTestPadFusion() { PassRegistration<TestPadFusionPass>(); }
  48 } // namespace test
  49 } // namespace mlir