Passes.h

Go to the documentation of this file.

//===- Passes.h - Pass Entrypoints ------------------------------*- C++ -*-===//
//
// 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 header file defines a set of transforms specific for the AffineOps
// dialect.
//
//===----------------------------------------------------------------------===//
 
#ifndef MLIR_DIALECT_AFFINE_PASSES_H
#define MLIR_DIALECT_AFFINE_PASSES_H
 
#include "mlir/Pass/Pass.h"
#include <limits>
 
namespace mlir {
 
namespace func {
class FuncOp;
} // namespace func
 
namespace affine {
class AffineForOp;
 
/// Fusion mode to attempt. The default mode `Greedy` does both
/// producer-consumer and sibling fusion.
enum FusionMode { Greedy, ProducerConsumer, Sibling };
 
#define GEN_PASS_DECL
#include "mlir/Dialect/Affine/Passes.h.inc"
 
/// Creates a simplification pass for affine structures (maps and sets). In
/// addition, this pass also normalizes memrefs to have the trivial (identity)
/// layout map.
std::unique_ptr<OperationPass<func::FuncOp>>
createSimplifyAffineStructuresPass();
 
/// Creates a loop invariant code motion pass that hoists loop invariant
/// operations out of affine loops.
std::unique_ptr<OperationPass<func::FuncOp>>
createAffineLoopInvariantCodeMotionPass();
 
/// Creates a pass to convert all parallel affine.for's into 1-d affine.parallel
/// ops.
std::unique_ptr<OperationPass<func::FuncOp>> createAffineParallelizePass();
 
/// Apply normalization transformations to affine loop-like ops. If
/// `promoteSingleIter` is true, single iteration loops are promoted (i.e., the
/// loop is replaced by its loop body).
std::unique_ptr<OperationPass<func::FuncOp>>
createAffineLoopNormalizePass(bool promoteSingleIter = false);
 
/// Performs packing (or explicit copying) of accessed memref regions into
/// buffers in the specified faster memory space through either pointwise copies
/// or DMA operations.
std::unique_ptr<OperationPass<func::FuncOp>> createAffineDataCopyGenerationPass(
    unsigned slowMemorySpace, unsigned fastMemorySpace,
    unsigned tagMemorySpace = 0, int minDmaTransferSize = 1024,
    uint64_t fastMemCapacityBytes = std::numeric_limits<uint64_t>::max());
/// Overload relying on pass options for initialization.
std::unique_ptr<OperationPass<func::FuncOp>>
createAffineDataCopyGenerationPass();
 
/// Creates a pass to replace affine memref accesses by scalars using store to
/// load forwarding and redundant load elimination; consequently also eliminate
/// dead allocs.
std::unique_ptr<OperationPass<func::FuncOp>>
createAffineScalarReplacementPass();
 
/// Creates a pass that transforms perfectly nested loops with independent
/// bounds into a single loop.
std::unique_ptr<OperationPass<func::FuncOp>> createLoopCoalescingPass();
 
/// Creates a loop fusion pass which fuses affine loop nests at the top-level of
/// the operation the pass is created on according to the type of fusion
/// specified in `fusionMode`. Buffers of size less than or equal to
/// `localBufSizeThreshold` are promoted to memory space `fastMemorySpace`.
std::unique_ptr<Pass>
createLoopFusionPass(unsigned fastMemorySpace = 0,
                     uint64_t localBufSizeThreshold = 0,
                     bool maximalFusion = false,
                     enum FusionMode fusionMode = FusionMode::Greedy);
 
/// Creates a pass to perform tiling on loop nests.
std::unique_ptr<OperationPass<func::FuncOp>>
createLoopTilingPass(uint64_t cacheSizeBytes);
/// Overload relying on pass options for initialization.
std::unique_ptr<OperationPass<func::FuncOp>> createLoopTilingPass();
 
/// Creates a loop unrolling pass with the provided parameters.
/// 'getUnrollFactor' is a function callback for clients to supply a function
/// that computes an unroll factor - the callback takes precedence over unroll
/// factors supplied through other means. If -1 is passed as the unrollFactor
/// and no callback is provided, anything passed from the command-line (if at
/// all) or the default unroll factor is used (LoopUnroll:kDefaultUnrollFactor).
std::unique_ptr<OperationPass<func::FuncOp>> createLoopUnrollPass(
    int unrollFactor = -1, bool unrollUpToFactor = false,
    bool unrollFull = false,
    const std::function<unsigned(AffineForOp)> &getUnrollFactor = nullptr);
 
/// Creates a loop unroll jam pass to unroll jam by the specified factor. A
/// factor of -1 lets the pass use the default factor or the one on the command
/// line if provided.
std::unique_ptr<OperationPass<func::FuncOp>>
createLoopUnrollAndJamPass(int unrollJamFactor = -1);
 
/// Creates a pass to pipeline explicit movement of data across levels of the
/// memory hierarchy.
std::unique_ptr<OperationPass<func::FuncOp>> createPipelineDataTransferPass();
 
/// Creates a pass to expand affine index operations into more fundamental
/// operations (not necessarily restricted to Affine dialect).
std::unique_ptr<Pass> createAffineExpandIndexOpsPass();
 
/// Creates a pass to expand affine index operations into affine.apply
/// operations.
std::unique_ptr<Pass> createAffineExpandIndexOpsAsAffinePass();
 
//===----------------------------------------------------------------------===//
// Registration
//===----------------------------------------------------------------------===//
 
/// Generate the code for registering passes.
#define GEN_PASS_REGISTRATION
#include "mlir/Dialect/Affine/Passes.h.inc"
 
} // namespace affine
} // namespace mlir
 
#endif // MLIR_DIALECT_AFFINE_PASSES_H