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
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
|
//===-- CUFDeviceGlobal.cpp -----------------------------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "flang/Optimizer/Builder/CUFCommon.h"
#include "flang/Optimizer/Dialect/CUF/CUFOps.h"
#include "flang/Optimizer/Dialect/FIRDialect.h"
#include "flang/Optimizer/Dialect/FIROps.h"
#include "flang/Optimizer/HLFIR/HLFIROps.h"
#include "flang/Optimizer/Support/InternalNames.h"
#include "flang/Runtime/CUDA/common.h"
#include "flang/Runtime/allocatable.h"
#include "flang/Support/Fortran.h"
#include "mlir/Dialect/LLVMIR/NVVMDialect.h"
#include "mlir/IR/SymbolTable.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
#include "llvm/ADT/DenseSet.h"
namespace fir {
#define GEN_PASS_DEF_CUFDEVICEGLOBAL
#include "flang/Optimizer/Transforms/Passes.h.inc"
} // namespace fir
namespace {
static void processAddrOfOp(fir::AddrOfOp addrOfOp,
mlir::SymbolTable &symbolTable,
llvm::DenseSet<fir::GlobalOp> &candidates,
bool recurseInGlobal) {
// Check if there is a real use of the global.
if (addrOfOp.getOperation()->hasOneUse()) {
mlir::OpOperand &addrUse = *addrOfOp.getOperation()->getUses().begin();
if (mlir::isa<fir::DeclareOp>(addrUse.getOwner()) &&
addrUse.getOwner()->use_empty())
return;
}
if (auto globalOp = symbolTable.lookup<fir::GlobalOp>(
addrOfOp.getSymbol().getRootReference().getValue())) {
// TO DO: limit candidates to non-scalars. Scalars appear to have been
// folded in already.
if (recurseInGlobal)
globalOp.walk([&](fir::AddrOfOp op) {
processAddrOfOp(op, symbolTable, candidates, recurseInGlobal);
});
candidates.insert(globalOp);
}
}
static void processTypeDescriptor(fir::RecordType recTy,
mlir::SymbolTable &symbolTable,
llvm::DenseSet<fir::GlobalOp> &candidates) {
if (auto globalOp = symbolTable.lookup<fir::GlobalOp>(
fir::NameUniquer::getTypeDescriptorName(recTy.getName()))) {
if (!candidates.contains(globalOp)) {
globalOp.walk([&](fir::AddrOfOp op) {
processAddrOfOp(op, symbolTable, candidates,
/*recurseInGlobal=*/true);
});
candidates.insert(globalOp);
}
}
}
static void processEmboxOp(fir::EmboxOp emboxOp, mlir::SymbolTable &symbolTable,
llvm::DenseSet<fir::GlobalOp> &candidates) {
if (auto recTy = mlir::dyn_cast<fir::RecordType>(
fir::unwrapRefType(emboxOp.getMemref().getType())))
processTypeDescriptor(recTy, symbolTable, candidates);
}
static void
prepareImplicitDeviceGlobals(mlir::func::FuncOp funcOp,
mlir::SymbolTable &symbolTable,
llvm::DenseSet<fir::GlobalOp> &candidates) {
auto cudaProcAttr{
funcOp->getAttrOfType<cuf::ProcAttributeAttr>(cuf::getProcAttrName())};
if (cudaProcAttr && cudaProcAttr.getValue() != cuf::ProcAttribute::Host) {
funcOp.walk([&](fir::AddrOfOp op) {
processAddrOfOp(op, symbolTable, candidates, /*recurseInGlobal=*/false);
});
funcOp.walk(
[&](fir::EmboxOp op) { processEmboxOp(op, symbolTable, candidates); });
}
}
static void
processPotentialTypeDescriptor(mlir::Type candidateType,
mlir::SymbolTable &symbolTable,
llvm::DenseSet<fir::GlobalOp> &candidates) {
if (auto boxTy = mlir::dyn_cast<fir::BaseBoxType>(candidateType))
candidateType = boxTy.getEleTy();
candidateType = fir::unwrapSequenceType(fir::unwrapRefType(candidateType));
if (auto recTy = mlir::dyn_cast<fir::RecordType>(candidateType))
processTypeDescriptor(recTy, symbolTable, candidates);
}
class CUFDeviceGlobal : public fir::impl::CUFDeviceGlobalBase<CUFDeviceGlobal> {
public:
void runOnOperation() override {
mlir::Operation *op = getOperation();
mlir::ModuleOp mod = mlir::dyn_cast<mlir::ModuleOp>(op);
if (!mod)
return signalPassFailure();
llvm::DenseSet<fir::GlobalOp> candidates;
mlir::SymbolTable symTable(mod);
mod.walk([&](mlir::func::FuncOp funcOp) {
prepareImplicitDeviceGlobals(funcOp, symTable, candidates);
return mlir::WalkResult::advance();
});
mod.walk([&](cuf::KernelOp kernelOp) {
kernelOp.walk([&](fir::AddrOfOp addrOfOp) {
processAddrOfOp(addrOfOp, symTable, candidates,
/*recurseInGlobal=*/false);
});
});
// Copying the device global variable into the gpu module
mlir::SymbolTable parentSymTable(mod);
auto gpuMod = cuf::getOrCreateGPUModule(mod, parentSymTable);
if (!gpuMod)
return signalPassFailure();
mlir::SymbolTable gpuSymTable(gpuMod);
for (auto globalOp : mod.getOps<fir::GlobalOp>()) {
if (cuf::isRegisteredDeviceGlobal(globalOp)) {
candidates.insert(globalOp);
processPotentialTypeDescriptor(globalOp.getType(), parentSymTable,
candidates);
} else if (globalOp.getConstant() &&
mlir::isa<fir::SequenceType>(
fir::unwrapRefType(globalOp.resultType()))) {
mlir::Attribute initAttr =
globalOp.getInitVal().value_or(mlir::Attribute());
if (initAttr && mlir::dyn_cast<mlir::DenseElementsAttr>(initAttr))
candidates.insert(globalOp);
}
}
for (auto globalOp : candidates) {
auto globalName{globalOp.getSymbol().getValue()};
if (gpuSymTable.lookup<fir::GlobalOp>(globalName)) {
break;
}
gpuSymTable.insert(globalOp->clone());
}
}
};
} // namespace
|