Files
clang-p2996/mlir/lib/Conversion/TensorToLinalg/TensorToLinalg.cpp
Tres Popp 1dce51b888 [mlir] Add TensorToLinalgPass
This pass is to handle computationally complex operations like
tensor.pad which are not simply lowered to the exact same operation in
the memref dialect.

Differential Revision: https://reviews.llvm.org/D125384
2022-05-13 12:17:22 +02:00

32 lines
1.2 KiB
C++

//===- TensorToLinalg.cpp - Tensor to Linalg Patterns ---------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file implements patterns to convert Tensor dialect to Linalg dialect.
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/TensorToLinalg/TensorToLinalg.h"
#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/Support/LogicalResult.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/Support/Debug.h"
#define DEBUG_TYPE "tensor-to-linalg-pattern"
using namespace mlir;
//===----------------------------------------------------------------------===//
// Pattern population
//===----------------------------------------------------------------------===//
void mlir::populateTensorToLinalgPatterns(RewritePatternSet &patterns) {
patterns.add<mlir::linalg::GeneralizePadOpPattern>(patterns.getContext());
}