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[flang][cuda] Distinguish constant fir.global from globals with a #cuf.cuda<constant> attribute (#118912)

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1. In `CufOpConversion` `isDeviceGlobal` was renamed
`isRegisteredGlobal` and moved to the common file. `isRegisteredGlobal`
excludes constant `fir.global` operation from registration. This is to
avoid calls to `_FortranACUFGetDeviceAddress` on globals which do not
have any symbols in the runtime. This was done for
`_FortranACUFRegisterVariable` in #118582, but also needs to be done
here after #118591
2. `CufDeviceGlobal` no longer adds the `#cuf.cuda<constant>` attribute
to the constant global. As discussed in #118582 a module variable with
the #cuf.cuda<constant> attribute is not a compile time constant. Yet,
the compile time constant also needs to be copied into the GPU module.
The candidates for copy to the GPU modules are
- the globals needing regsitrations regardless of their uses in device
code (they can be referred to in host code as well)
       - the compile time constant when used in device code 

3. The registration of "constant" module device variables (
#cuf.cuda<constant>) can be restored in `CufAddConstructor`
This commit is contained in:
Renaud Kauffmann 2024-12-05 18:36:48 -08:00 committed by GitHub
parent d20731ce6b
commit 27e458c8cb
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GPG Key ID: B5690EEEBB952194
8 changed files with 82 additions and 56 deletions
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2
flang/include/flang/Optimizer/Transforms/CUFCommon.h
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@ -9,6 +9,7 @@
#ifndef FORTRAN_OPTIMIZER_TRANSFORMS_CUFCOMMON_H_
#define FORTRAN_OPTIMIZER_TRANSFORMS_CUFCOMMON_H_
#include "flang/Optimizer/Dialect/FIROps.h"
#include "mlir/Dialect/GPU/IR/GPUDialect.h"
#include "mlir/IR/BuiltinOps.h"
@ -21,6 +22,7 @@ mlir::gpu::GPUModuleOp getOrCreateGPUModule(mlir::ModuleOp mod,
mlir::SymbolTable &symTab);
bool isInCUDADeviceContext(mlir::Operation *op);
bool isRegisteredDeviceGlobal(fir::GlobalOp op);
} // namespace cuf

3
flang/lib/Optimizer/Transforms/CUFAddConstructor.cpp
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@ -106,7 +106,8 @@ struct CUFAddConstructor
mlir::func::FuncOp func;
switch (attr.getValue()) {
case cuf::DataAttribute::Device: {
case cuf::DataAttribute::Device:
case cuf::DataAttribute::Constant: {
func = fir::runtime::getRuntimeFunc<mkRTKey(CUFRegisterVariable)>(
loc, builder);
auto fTy = func.getFunctionType();

11
flang/lib/Optimizer/Transforms/CUFCommon.cpp
View File

@ -43,3 +43,14 @@ bool cuf::isInCUDADeviceContext(mlir::Operation *op) {
}
return false;
}
bool cuf::isRegisteredDeviceGlobal(fir::GlobalOp op) {
if (op.getConstant())
return false;
auto attr = op.getDataAttr();
if (attr && (*attr == cuf::DataAttribute::Device ||
*attr == cuf::DataAttribute::Managed ||
*attr == cuf::DataAttribute::Constant))
return true;
return false;
}

63
flang/lib/Optimizer/Transforms/CUFDeviceGlobal.cpp
View File

@ -18,6 +18,7 @@
#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
@ -27,36 +28,30 @@ namespace fir {
namespace {
static void processAddrOfOp(fir::AddrOfOp addrOfOp,
mlir::SymbolTable &symbolTable, bool onlyConstant) {
mlir::SymbolTable &symbolTable,
llvm::DenseSet<fir::GlobalOp> &candidates) {
if (auto globalOp = symbolTable.lookup<fir::GlobalOp>(
addrOfOp.getSymbol().getRootReference().getValue())) {
bool isCandidate{(onlyConstant ? globalOp.getConstant() : true) &&
!globalOp.getDataAttr()};
if (isCandidate)
globalOp.setDataAttrAttr(cuf::DataAttributeAttr::get(
addrOfOp.getContext(), globalOp.getConstant()
? cuf::DataAttribute::Constant
: cuf::DataAttribute::Device));
// TO DO: limit candidates to non-scalars. Scalars appear to have been
// folded in already.
if (globalOp.getConstant()) {
candidates.insert(globalOp);
}
}
}
static void prepareImplicitDeviceGlobals(mlir::func::FuncOp funcOp,
mlir::SymbolTable &symbolTable,
bool onlyConstant = true) {
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) {
// Look for globlas in CUF KERNEL DO operations.
for (auto cufKernelOp : funcOp.getBody().getOps<cuf::KernelOp>()) {
cufKernelOp.walk([&](fir::AddrOfOp addrOfOp) {
processAddrOfOp(addrOfOp, symbolTable, onlyConstant);
});
}
return;
if (cudaProcAttr && cudaProcAttr.getValue() != cuf::ProcAttribute::Host) {
funcOp.walk([&](fir::AddrOfOp addrOfOp) {
processAddrOfOp(addrOfOp, symbolTable, candidates);
});
}
funcOp.walk([&](fir::AddrOfOp addrOfOp) {
processAddrOfOp(addrOfOp, symbolTable, onlyConstant);
});
}
class CUFDeviceGlobal : public fir::impl::CUFDeviceGlobalBase<CUFDeviceGlobal> {
@ -67,9 +62,10 @@ public:
if (!mod)
return signalPassFailure();
llvm::DenseSet<fir::GlobalOp> candidates;
mlir::SymbolTable symTable(mod);
mod.walk([&](mlir::func::FuncOp funcOp) {
prepareImplicitDeviceGlobals(funcOp, symTable);
prepareImplicitDeviceGlobals(funcOp, symTable, candidates);
return mlir::WalkResult::advance();
});
@ -80,22 +76,15 @@ public:
return signalPassFailure();
mlir::SymbolTable gpuSymTable(gpuMod);
for (auto globalOp : mod.getOps<fir::GlobalOp>()) {
auto attr = globalOp.getDataAttrAttr();
if (!attr)
continue;
switch (attr.getValue()) {
case cuf::DataAttribute::Device:
case cuf::DataAttribute::Constant:
case cuf::DataAttribute::Managed: {
auto globalName{globalOp.getSymbol().getValue()};
if (gpuSymTable.lookup<fir::GlobalOp>(globalName)) {
break;
}
gpuSymTable.insert(globalOp->clone());
} break;
default:
if (cuf::isRegisteredDeviceGlobal(globalOp))
candidates.insert(globalOp);
}
for (auto globalOp : candidates) {
auto globalName{globalOp.getSymbol().getValue()};
if (gpuSymTable.lookup<fir::GlobalOp>(globalName)) {
break;
}
gpuSymTable.insert(globalOp->clone());
}
}
};

13
flang/lib/Optimizer/Transforms/CUFOpConversion.cpp
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@ -81,15 +81,6 @@ static bool hasDoubleDescriptors(OpTy op) {
return false;
}
bool isDeviceGlobal(fir::GlobalOp op) {
auto attr = op.getDataAttr();
if (attr && (*attr == cuf::DataAttribute::Device ||
*attr == cuf::DataAttribute::Managed ||
*attr == cuf::DataAttribute::Constant))
return true;
return false;
}
static mlir::Value createConvertOp(mlir::PatternRewriter &rewriter,
mlir::Location loc, mlir::Type toTy,
mlir::Value val) {
@ -388,7 +379,7 @@ struct DeclareOpConversion : public mlir::OpRewritePattern<fir::DeclareOp> {
if (auto addrOfOp = op.getMemref().getDefiningOp<fir::AddrOfOp>()) {
if (auto global = symTab.lookup<fir::GlobalOp>(
addrOfOp.getSymbol().getRootReference().getValue())) {
if (isDeviceGlobal(global)) {
if (cuf::isRegisteredDeviceGlobal(global)) {
rewriter.setInsertionPointAfter(addrOfOp);
auto mod = op->getParentOfType<mlir::ModuleOp>();
fir::FirOpBuilder builder(rewriter, mod);
@ -833,7 +824,7 @@ public:
addrOfOp.getSymbol().getRootReference().getValue())) {
if (mlir::isa<fir::BaseBoxType>(fir::unwrapRefType(global.getType())))
return true;
if (isDeviceGlobal(global))
if (cuf::isRegisteredDeviceGlobal(global))
return false;
}
}

2
flang/test/Fir/CUDA/cuda-constructor-2.f90
View File

@ -39,7 +39,7 @@ module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<!llvm.ptr, dense<
// CHECK-NOT: fir.call @_FortranACUFRegisterVariable
module attributes {dlti.dl_spec = #dlti.dl_spec<i8 = dense<8> : vector<2xi64>, i16 = dense<16> : vector<2xi64>, i1 = dense<8> : vector<2xi64>, !llvm.ptr = dense<64> : vector<4xi64>, f80 = dense<128> : vector<2xi64>, i128 = dense<128> : vector<2xi64>, i64 = dense<64> : vector<2xi64>, !llvm.ptr<271> = dense<32> : vector<4xi64>, !llvm.ptr<272> = dense<64> : vector<4xi64>, f128 = dense<128> : vector<2xi64>, !llvm.ptr<270> = dense<32> : vector<4xi64>, f16 = dense<16> : vector<2xi64>, f64 = dense<64> : vector<2xi64>, i32 = dense<32> : vector<2xi64>, "dlti.stack_alignment" = 128 : i64, "dlti.endianness" = "little">, fir.defaultkind = "a1c4d8i4l4r4", fir.kindmap = "", gpu.container_module, llvm.data_layout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128", llvm.ident = "flang version 20.0.0 (https://github.com/llvm/llvm-project.git 3372303188df0f7f8ac26e7ab610cf8b0f716d42)", llvm.target_triple = "x86_64-unknown-linux-gnu"} {
fir.global @_QMiso_c_bindingECc_int {data_attr = #cuf.cuda<constant>} constant : i32
fir.global @_QMiso_c_bindingECc_int constant : i32
fir.type_info @_QM__fortran_builtinsT__builtin_c_ptr noinit nodestroy nofinal : !fir.type<_QM__fortran_builtinsT__builtin_c_ptr{__address:i64}>

32
flang/test/Fir/CUDA/cuda-global-addr.mlir
View File

@ -1,4 +1,4 @@
// RUN: fir-opt --cuf-convert %s | FileCheck %s
// RUN: fir-opt --split-input-file --cuf-convert %s | FileCheck %s
module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<f80, dense<128> : vector<2xi64>>, #dlti.dl_entry<i128, dense<128> : vector<2xi64>>, #dlti.dl_entry<i64, dense<64> : vector<2xi64>>, #dlti.dl_entry<!llvm.ptr<272>, dense<64> : vector<4xi64>>, #dlti.dl_entry<!llvm.ptr<271>, dense<32> : vector<4xi64>>, #dlti.dl_entry<!llvm.ptr<270>, dense<32> : vector<4xi64>>, #dlti.dl_entry<f128, dense<128> : vector<2xi64>>, #dlti.dl_entry<f64, dense<64> : vector<2xi64>>, #dlti.dl_entry<f16, dense<16> : vector<2xi64>>, #dlti.dl_entry<i32, dense<32> : vector<2xi64>>, #dlti.dl_entry<i16, dense<16> : vector<2xi64>>, #dlti.dl_entry<i8, dense<8> : vector<2xi64>>, #dlti.dl_entry<i1, dense<8> : vector<2xi64>>, #dlti.dl_entry<!llvm.ptr, dense<64> : vector<4xi64>>, #dlti.dl_entry<"dlti.endianness", "little">, #dlti.dl_entry<"dlti.stack_alignment", 128 : i64>>} {
fir.global @_QMmod1Eadev {data_attr = #cuf.cuda<device>} : !fir.array<10xi32> {
@ -34,3 +34,33 @@ func.func @_QQmain() attributes {fir.bindc_name = "test"} {
// CHECK: %[[ARRAY_COOR:.*]] = fir.array_coor %[[DECL]](%{{.*}}) %c4{{.*}} : (!fir.ref<!fir.array<10xi32>>, !fir.shape<1>, index) -> !fir.ref<i32>
// CHECK: %[[ARRAY_COOR_PTR:.*]] = fir.convert %[[ARRAY_COOR]] : (!fir.ref<i32>) -> !fir.llvm_ptr<i8>
// CHECK: fir.call @_FortranACUFDataTransferPtrPtr(%[[ARRAY_COOR_PTR]], %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}, %{{.*}}) : (!fir.llvm_ptr<i8>, !fir.llvm_ptr<i8>, i64, i32, !fir.ref<i8>, i32) -> none
// -----
module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<f80, dense<128> : vector<2xi64>>, #dlti.dl_entry<i128, dense<128> : vector<2xi64>>, #dlti.dl_entry<i64, dense<64> : vector<2xi64>>, #dlti.dl_entry<!llvm.ptr<272>, dense<64> : vector<4xi64>>, #dlti.dl_entry<!llvm.ptr<271>, dense<32> : vector<4xi64>>, #dlti.dl_entry<!llvm.ptr<270>, dense<32> : vector<4xi64>>, #dlti.dl_entry<f128, dense<128> : vector<2xi64>>, #dlti.dl_entry<f64, dense<64> : vector<2xi64>>, #dlti.dl_entry<f16, dense<16> : vector<2xi64>>, #dlti.dl_entry<i32, dense<32> : vector<2xi64>>, #dlti.dl_entry<i16, dense<16> : vector<2xi64>>, #dlti.dl_entry<i8, dense<8> : vector<2xi64>>, #dlti.dl_entry<i1, dense<8> : vector<2xi64>>, #dlti.dl_entry<!llvm.ptr, dense<64> : vector<4xi64>>, #dlti.dl_entry<"dlti.endianness", "little">, #dlti.dl_entry<"dlti.stack_alignment", 128 : i64>>} {
fir.global @_QMdevmodEdarray {data_attr = #cuf.cuda<device>} : !fir.box<!fir.heap<!fir.array<?xf32>>> {
%c0 = arith.constant 0 : index
%0 = fir.zero_bits !fir.heap<!fir.array<?xf32>>
%1 = fir.shape %c0 : (index) -> !fir.shape<1>
%2 = fir.embox %0(%1) {allocator_idx = 2 : i32} : (!fir.heap<!fir.array<?xf32>>, !fir.shape<1>) -> !fir.box<!fir.heap<!fir.array<?xf32>>>
fir.has_value %2 : !fir.box<!fir.heap<!fir.array<?xf32>>>
}
func.func @_QQmain() attributes {fir.bindc_name = "arraysize"} {
%0 = fir.address_of(@_QMiso_c_bindingECc_int) : !fir.ref<i32>
%1 = fir.declare %0 {fortran_attrs = #fir.var_attrs<parameter>, uniq_name = "_QMiso_c_bindingECc_int"} : (!fir.ref<i32>) -> !fir.ref<i32>
%2 = fir.address_of(@_QMdevmodEdarray) : !fir.ref<!fir.box<!fir.heap<!fir.array<?xf32>>>>
%3 = fir.declare %2 {data_attr = #cuf.cuda<device>, fortran_attrs = #fir.var_attrs<allocatable>, uniq_name = "_QMdevmodEdarray"} : (!fir.ref<!fir.box<!fir.heap<!fir.array<?xf32>>>>) -> !fir.ref<!fir.box<!fir.heap<!fir.array<?xf32>>>>
%4 = fir.alloca i32 {bindc_name = "exp", uniq_name = "_QFEexp"}
%5 = fir.declare %4 {uniq_name = "_QFEexp"} : (!fir.ref<i32>) -> !fir.ref<i32>
%6 = fir.alloca i32 {bindc_name = "hsize", uniq_name = "_QFEhsize"}
%7 = fir.declare %6 {uniq_name = "_QFEhsize"} : (!fir.ref<i32>) -> !fir.ref<i32>
return
}
fir.global @_QMiso_c_bindingECc_int constant : i32
}
// We cannot call _FortranACUFGetDeviceAddress on a constant global.
// There is no symbol for it and the call would result into an unresolved reference.
// CHECK-NOT: fir.call {{.*}}GetDeviceAddress

12
flang/test/Fir/CUDA/cuda-implicit-device-global.f90
View File

@ -23,7 +23,7 @@ fir.global linkonce @_QQclX6995815537abaf90e86ce166af128f3a constant : !fir.char
// CHECK: %[[GLOBAL:.*]] = fir.address_of(@_QQcl[[SYMBOL:.*]]) : !fir.ref<!fir.char<1,32>>
// CHECK: %[[CONV:.*]] = fir.convert %[[GLOBAL]] : (!fir.ref<!fir.char<1,32>>) -> !fir.ref<i8>
// CHECK: fir.call @_FortranAioBeginExternalListOutput(%{{.*}}, %[[CONV]], %{{.*}}) fastmath<contract> : (i32, !fir.ref<i8>, i32) -> !fir.ref<i8>
// CHECK: fir.global linkonce @_QQcl[[SYMBOL]] {data_attr = #cuf.cuda<constant>} constant : !fir.char<1,32>
// CHECK: fir.global linkonce @_QQcl[[SYMBOL]] constant : !fir.char<1,32>
// CHECK-LABEL: gpu.module @cuda_device_mod
// CHECK: fir.global linkonce @_QQclX6995815537abaf90e86ce166af128f3a
@ -99,10 +99,11 @@ fir.global linkonce @_QQclX5465737420504153534544 constant : !fir.char<1,11> {
fir.has_value %0 : !fir.char<1,11>
}
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 {data_attr = #cuf.cuda<constant>} constant : !fir.char<1,11>
// Checking that a constant fir.global that is only used in host code is not copied over to the device
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 constant : !fir.char<1,11>
// CHECK-LABEL: gpu.module @cuda_device_mod
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 {data_attr = #cuf.cuda<constant>} constant
// CHECK-NOT: fir.global linkonce @_QQclX5465737420504153534544
// -----
@ -140,7 +141,8 @@ fir.global linkonce @_QQclX5465737420504153534544 constant : !fir.char<1,11> {
}
func.func private @_FortranAioEndIoStatement(!fir.ref<i8>) -> i32 attributes {fir.io, fir.runtime}
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 {data_attr = #cuf.cuda<constant>} constant : !fir.char<1,11>
// Checking that a constant fir.global that is used in device code is copied over to the device
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 constant : !fir.char<1,11>
// CHECK-LABEL: gpu.module @cuda_device_mod
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 {data_attr = #cuf.cuda<constant>} constant
// CHECK: fir.global linkonce @_QQclX5465737420504153534544 constant