1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
|
//===- ComposeAffineMaps.cpp - MLIR Affine Transform Class-----*- C++ -*-===//
//
// Copyright 2019 The MLIR Authors.
//
// 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.
// =============================================================================
//
// This file implements a testing pass which composes affine maps from
// AffineApplyOps in a Function, by forward subtituting results from an
// AffineApplyOp into any of its users which are also AffineApplyOps.
//
//===----------------------------------------------------------------------===//
#include "mlir/Analysis/AffineAnalysis.h"
#include "mlir/Analysis/MLFunctionMatcher.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/IR/Attributes.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/BuiltinOps.h"
#include "mlir/IR/InstVisitor.h"
#include "mlir/Pass.h"
#include "mlir/StandardOps/StandardOps.h"
#include "mlir/Transforms/Passes.h"
#include "mlir/Transforms/Utils.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/raw_ostream.h"
using namespace mlir;
namespace {
// ComposeAffineMaps walks inst blocks in a Function, and for each
// AffineApplyOp, forward substitutes its results into any users which are
// also AffineApplyOps. After forward subtituting its results, AffineApplyOps
// with no remaining uses are collected and erased after the walk.
// TODO(andydavis) Remove this when Chris adds instruction combiner pass.
struct ComposeAffineMaps : public FunctionPass {
explicit ComposeAffineMaps() : FunctionPass(&ComposeAffineMaps::passID) {}
PassResult runOnFunction(Function *f) override;
// Thread-safe RAII contexts local to pass, BumpPtrAllocator freed on exit.
MLFunctionMatcherContext MLContext;
static char passID;
};
} // end anonymous namespace
char ComposeAffineMaps::passID = 0;
FunctionPass *mlir::createComposeAffineMapsPass() {
return new ComposeAffineMaps();
}
static bool affineApplyOp(const Instruction &inst) {
const auto &opInst = cast<OperationInst>(inst);
return opInst.isa<AffineApplyOp>();
}
PassResult ComposeAffineMaps::runOnFunction(Function *f) {
using matcher::Op;
auto pattern = Op(affineApplyOp);
auto apps = pattern.match(f);
for (auto m : apps) {
auto app = cast<OperationInst>(m.first)->cast<AffineApplyOp>();
SmallVector<Value *, 8> operands(app->getOperands().begin(),
app->getOperands().end());
FuncBuilder b(m.first);
auto newApp = makeComposedAffineApply(&b, app->getLoc(),
app->getAffineMap(), operands);
unsigned idx = 0;
for (auto *v : app->getResults()) {
v->replaceAllUsesWith(newApp->getResult(idx++));
}
}
{
auto pattern = Op(affineApplyOp);
auto apps = pattern.match(f);
std::reverse(apps.begin(), apps.end());
for (auto m : apps) {
auto app = cast<OperationInst>(m.first)->cast<AffineApplyOp>();
bool hasNonEmptyUse = llvm::any_of(
app->getResults(), [](Value *r) { return !r->use_empty(); });
if (!hasNonEmptyUse) {
m.first->erase();
}
}
}
return success();
}
static PassRegistration<ComposeAffineMaps> pass("compose-affine-maps",
"Compose affine maps");
|
