onnx-mlir/src/pass/onnx_combine.cpp

//===- ONNXCombine.cpp - ONNX High Level Optimizer ------------------------===//
//
// Copyright 2019 The IBM Research Authors.
//
// =============================================================================
//
// This file implements a set of simple combiners for optimizing operations in
// the ONNX dialect.
//
//===----------------------------------------------------------------------===//

#include "mlir/IR/Matchers.h"
#include "mlir/IR/PatternMatch.h"

#include <numeric>
#include "src/dialect/onnx/onnx_ops.hpp"

using namespace mlir;

namespace {
/// Include the patterns defined in the Declarative Rewrite framework.
#include "src/onnx_combine.inc"
}  // end anonymous namespace

/// Register optimization patterns as "canonicalization" patterns
/// on the ONNXMatMultOp.
void ONNXAddOp::getCanonicalizationPatterns(
    OwningRewritePatternList& results, MLIRContext* context) {
  results.insert<MulAddToGemmOptPattern>(context);
}

void ONNXGemmOp::getCanonicalizationPatterns(
        OwningRewritePatternList& results, MLIRContext* context) {
    results.insert<FuseGemmFollowedByAddition>(context);
}
/// on the ONNXIdentityOp.
void ONNXIdentityOp::getCanonicalizationPatterns(
    OwningRewritePatternList& results, MLIRContext* context) {
  results.insert<IdentityEliminationPattern>(context);
}

///on the ONNXPadConstantValueOp.
void ONNXPadConstantValueOp::getCanonicalizationPatterns(
    OwningRewritePatternList& result, MLIRContext* context) {
  result.insert<ConstantPadPattern>(context);
}