[flang-commits] [flang] [flang][cuda] Lower simple host to device data transfer (PR #85960)
Valentin Clement バレンタイン クレメン via flang-commits
flang-commits at lists.llvm.org
Wed Mar 20 09:36:09 PDT 2024
https://github.com/clementval created https://github.com/llvm/llvm-project/pull/85960
In CUDA Fortran data transfer can be done via assignment statements between host and device variables.
This patch introduces a `fir. cuda_data_transfer` operation that materialized the data transfer between two memory references.
Simple transfer not involving descriptors from host to device are also lowered in this patch. When the rhs is an expression that required an evaluation, a temporary is created. The evaluation is done on the host and then the transfer is initiated.
Implicit transfer when device symbol are present on the rhs is not part of this patch. Transfer from device to host is not part of this patch.
>From 27652dc0d6413af847bb92f136f41a80e4e90ece Mon Sep 17 00:00:00 2001
From: Valentin Clement <clementval at gmail.com>
Date: Tue, 19 Mar 2024 14:13:37 -0700
Subject: [PATCH] [flang][cuda] Lower host to device data transfer
---
.../flang/Optimizer/Dialect/FIRAttr.td | 16 +++++
.../include/flang/Optimizer/Dialect/FIROps.td | 25 ++++++++
flang/lib/Lower/Bridge.cpp | 41 ++++++++++--
flang/lib/Optimizer/Dialect/FIRAttr.cpp | 3 +-
flang/test/Lower/CUDA/cuda-data-transfer.cuf | 64 +++++++++++++++++++
5 files changed, 142 insertions(+), 7 deletions(-)
create mode 100644 flang/test/Lower/CUDA/cuda-data-transfer.cuf
diff --git a/flang/include/flang/Optimizer/Dialect/FIRAttr.td b/flang/include/flang/Optimizer/Dialect/FIRAttr.td
index 2ac4af9e66aa80..f8b3fb861cc62f 100644
--- a/flang/include/flang/Optimizer/Dialect/FIRAttr.td
+++ b/flang/include/flang/Optimizer/Dialect/FIRAttr.td
@@ -137,4 +137,20 @@ def fir_CUDAClusterDimsAttr : fir_Attr<"CUDAClusterDims"> {
let assemblyFormat = "`<` struct(params) `>`";
}
+def fir_CUDADataTransferKind : I32EnumAttr<
+ "CUDADataTransferKind", "CUDA Fortran data transfer kind",
+ [
+ I32EnumAttrCase<"DeviceHost", 0, "device_host">,
+ I32EnumAttrCase<"HostDevice", 1, "host_device">,
+ I32EnumAttrCase<"DeviceDevice", 2, "device_device">,
+ ]> {
+ let genSpecializedAttr = 0;
+ let cppNamespace = "::fir";
+}
+
+def fir_CUDADataTransferKindAttr :
+ EnumAttr<FIROpsDialect, fir_CUDADataTransferKind, "cuda_transfer"> {
+ let assemblyFormat = [{ ```<` $value `>` }];
+}
+
#endif // FIR_DIALECT_FIR_ATTRS
diff --git a/flang/include/flang/Optimizer/Dialect/FIROps.td b/flang/include/flang/Optimizer/Dialect/FIROps.td
index 6e520d111701f0..3a1af1258aff28 100644
--- a/flang/include/flang/Optimizer/Dialect/FIROps.td
+++ b/flang/include/flang/Optimizer/Dialect/FIROps.td
@@ -3165,4 +3165,29 @@ def fir_CUDAKernelOp : fir_Op<"cuda_kernel", [AttrSizedOperandSegments,
let hasVerifier = 1;
}
+def fir_CUDADataTransferOp : fir_Op<"cuda_data_transfer", []> {
+ let summary = "Represent a data transfer between host and device memory";
+
+ let description = [{
+ CUDA Fortran allows data transfer to be done via intrinsic assignment
+ between a host and a device variable. This operation is used to materialized
+ the data transfer between the lhs and rhs memory references.
+ The kind of transfer is specified in the attribute.
+
+ ```
+ adev = a ! transfer host to device
+ a = adev ! transfer device to host
+ bdev = adev ! transfer device to device
+ ```
+ }];
+
+ let arguments = (ins Arg<AnyReferenceLike, "", [MemWrite]>:$src,
+ Arg<AnyReferenceLike, "", [MemRead]>:$dst,
+ fir_CUDADataTransferKindAttr:$transfer_kind);
+
+ let assemblyFormat = [{
+ $src `to` $dst attr-dict `:` type(operands)
+ }];
+}
+
#endif
diff --git a/flang/lib/Lower/Bridge.cpp b/flang/lib/Lower/Bridge.cpp
index c3cb9ba6a47e3d..1f923ba953843e 100644
--- a/flang/lib/Lower/Bridge.cpp
+++ b/flang/lib/Lower/Bridge.cpp
@@ -3706,15 +3706,40 @@ class FirConverter : public Fortran::lower::AbstractConverter {
return false;
}
+ static void genCUDADataTransfer(fir::FirOpBuilder &builder,
+ mlir::Location loc, bool lhsIsDevice,
+ hlfir::Entity &lhs, bool rhsIsDevice,
+ hlfir::Entity &rhs) {
+ if (rhs.isBoxAddressOrValue() || lhs.isBoxAddressOrValue())
+ TODO(loc, "CUDA data transfler with descriptors");
+ if (lhsIsDevice && !rhsIsDevice) {
+ auto transferKindAttr = fir::CUDADataTransferKindAttr::get(
+ builder.getContext(), fir::CUDADataTransferKind::HostDevice);
+ // device = host
+ if (!rhs.isVariable()) {
+ auto [temp, cleanup] = hlfir::createTempFromMold(loc, builder, rhs);
+ builder.create<hlfir::AssignOp>(loc, rhs, temp, false, false);
+ builder.create<fir::CUDADataTransferOp>(loc, temp, lhs,
+ transferKindAttr);
+ if (mlir::isa<fir::HeapType>(temp.getType()))
+ builder.create<fir::FreeMemOp>(loc, temp);
+ } else {
+ builder.create<fir::CUDADataTransferOp>(loc, rhs, lhs,
+ transferKindAttr);
+ }
+ return;
+ }
+ TODO(loc, "Assignement with CUDA Fortran variables");
+ }
+
void genDataAssignment(
const Fortran::evaluate::Assignment &assign,
const Fortran::evaluate::ProcedureRef *userDefinedAssignment) {
mlir::Location loc = getCurrentLocation();
fir::FirOpBuilder &builder = getFirOpBuilder();
- if (Fortran::evaluate::HasCUDAAttrs(assign.lhs) ||
- Fortran::evaluate::HasCUDAAttrs(assign.rhs))
- TODO(loc, "Assignement with CUDA Fortran variables");
+ bool lhsIsDevice = Fortran::evaluate::HasCUDAAttrs(assign.lhs);
+ bool rhsIsDevice = Fortran::evaluate::HasCUDAAttrs(assign.rhs);
// Gather some information about the assignment that will impact how it is
// lowered.
@@ -3772,9 +3797,13 @@ class FirConverter : public Fortran::lower::AbstractConverter {
Fortran::lower::StatementContext localStmtCtx;
hlfir::Entity rhs = evaluateRhs(localStmtCtx);
hlfir::Entity lhs = evaluateLhs(localStmtCtx);
- builder.create<hlfir::AssignOp>(loc, rhs, lhs,
- isWholeAllocatableAssignment,
- keepLhsLengthInAllocatableAssignment);
+ if (lhsIsDevice || rhsIsDevice) {
+ genCUDADataTransfer(builder, loc, lhsIsDevice, lhs, rhsIsDevice, rhs);
+ } else {
+ builder.create<hlfir::AssignOp>(loc, rhs, lhs,
+ isWholeAllocatableAssignment,
+ keepLhsLengthInAllocatableAssignment);
+ }
return;
}
// Assignments inside Forall, Where, or assignments to a vector subscripted
diff --git a/flang/lib/Optimizer/Dialect/FIRAttr.cpp b/flang/lib/Optimizer/Dialect/FIRAttr.cpp
index 0cf8dfb9f784c3..e43710f5627ee0 100644
--- a/flang/lib/Optimizer/Dialect/FIRAttr.cpp
+++ b/flang/lib/Optimizer/Dialect/FIRAttr.cpp
@@ -299,5 +299,6 @@ void FIROpsDialect::registerAttributes() {
addAttributes<ClosedIntervalAttr, ExactTypeAttr, FortranVariableFlagsAttr,
LowerBoundAttr, PointIntervalAttr, RealAttr, SubclassAttr,
UpperBoundAttr, CUDADataAttributeAttr, CUDAProcAttributeAttr,
- CUDALaunchBoundsAttr, CUDAClusterDimsAttr>();
+ CUDALaunchBoundsAttr, CUDAClusterDimsAttr,
+ CUDADataTransferKindAttr>();
}
diff --git a/flang/test/Lower/CUDA/cuda-data-transfer.cuf b/flang/test/Lower/CUDA/cuda-data-transfer.cuf
new file mode 100644
index 00000000000000..8ae42cbddce862
--- /dev/null
+++ b/flang/test/Lower/CUDA/cuda-data-transfer.cuf
@@ -0,0 +1,64 @@
+! RUN: bbc -emit-hlfir -fcuda %s -o - | FileCheck %s
+
+! Test CUDA Fortran data transfer using assignment statements.
+
+subroutine sub1()
+ integer, device :: m
+ integer, device :: adev(10)
+ integer :: i, ahost(10), bhost(10)
+
+ m = 1 + i
+
+ m = 1
+
+ adev = ahost
+
+ adev = ahost + 1
+
+ adev(1:5) = ahost(1:5)
+
+ adev = ahost + bhost
+
+end
+
+! CHECK-LABEL: func.func @_QPsub1()
+! CHECK: %[[TMP1_ALLOC:.*]] = fir.alloca i32 {bindc_name = ".tmp"}
+! CHECK: %[[TMP0_ALLOC:.*]] = fir.alloca i32 {bindc_name = ".tmp"}
+
+! CHECK: %[[ADEV:.*]]:2 = hlfir.declare %{{.*}}(%{{.*}}) {cuda_attr = #fir.cuda<device>, uniq_name = "_QFsub1Eadev"} : (!fir.ref<!fir.array<10xi32>>, !fir.shape<1>) -> (!fir.ref<!fir.array<10xi32>>, !fir.ref<!fir.array<10xi32>>)
+! CHECK: %[[AHOST:.*]]:2 = hlfir.declare %{{.*}}(%{{.*}}) {uniq_name = "_QFsub1Eahost"} : (!fir.ref<!fir.array<10xi32>>, !fir.shape<1>) -> (!fir.ref<!fir.array<10xi32>>, !fir.ref<!fir.array<10xi32>>)
+! CHECK: %[[I:.*]]:2 = hlfir.declare %{{.*}} {uniq_name = "_QFsub1Ei"} : (!fir.ref<i32>) -> (!fir.ref<i32>, !fir.ref<i32>)
+! CHECK: %[[M:.*]]:2 = hlfir.declare %{{.*}} {cuda_attr = #fir.cuda<device>, uniq_name = "_QFsub1Em"} : (!fir.ref<i32>) -> (!fir.ref<i32>, !fir.ref<i32>)
+
+! CHECK: %[[C1:.*]] = arith.constant 1 : i32
+! CHECK: %[[LOADED_I:.*]] = fir.load %[[I]]#0 : !fir.ref<i32>
+! CHECK: %[[ADD:.*]] = arith.addi %[[C1]], %[[LOADED_I]] : i32
+! CHECK: %[[TMP0:.*]]:2 = hlfir.declare %[[TMP0_ALLOC:.*]] {uniq_name = ".tmp"} : (!fir.ref<i32>) -> (!fir.ref<i32>, !fir.ref<i32>)
+! CHECK: hlfir.assign %[[ADD]] to %[[TMP0]]#0 : i32, !fir.ref<i32>
+! CHECK: fir.cuda_data_transfer %[[TMP0]]#0 to %[[M]]#0 {transfer_kind = #fir.cuda_transfer<host_device>} : !fir.ref<i32>, !fir.ref<i32>
+
+! CHECK: %[[C1:.*]] = arith.constant 1 : i32
+! CHECK: %[[TMP1:.*]]:2 = hlfir.declare %[[TMP1_ALLOC]] {uniq_name = ".tmp"} : (!fir.ref<i32>) -> (!fir.ref<i32>, !fir.ref<i32>)
+! CHECK: hlfir.assign %[[C1]] to %[[TMP1]]#0 : i32, !fir.ref<i32>
+! CHECK: fir.cuda_data_transfer %[[TMP1]]#0 to %[[M]]#0 {transfer_kind = #fir.cuda_transfer<host_device>} : !fir.ref<i32>, !fir.ref<i32>
+
+! CHECK: fir.cuda_data_transfer %[[AHOST]]#0 to %[[ADEV]]#0 {transfer_kind = #fir.cuda_transfer<host_device>} : !fir.ref<!fir.array<10xi32>>, !fir.ref<!fir.array<10xi32>>
+
+! CHECK: %[[ELEMENTAL:.*]] = hlfir.elemental %{{.*}} unordered : (!fir.shape<1>) -> !hlfir.expr<10xi32> {
+
+! CHECK: %[[ALLOCMEM:.*]] = fir.allocmem !fir.array<10xi32> {bindc_name = ".tmp", uniq_name = ""}
+! CHECK: %[[TEMP:.*]]:2 = hlfir.declare %[[ALLOCMEM]](%{{.*}}) {uniq_name = ".tmp"} : (!fir.heap<!fir.array<10xi32>>, !fir.shape<1>) -> (!fir.heap<!fir.array<10xi32>>, !fir.heap<!fir.array<10xi32>>)
+! CHECK: hlfir.assign %[[ELEMENTAL]] to %[[TEMP]]#0 : !hlfir.expr<10xi32>, !fir.heap<!fir.array<10xi32>>
+! CHECK: fir.cuda_data_transfer %[[TEMP]]#0 to %[[ADEV]]#0 {transfer_kind = #fir.cuda_transfer<host_device>} : !fir.heap<!fir.array<10xi32>>, !fir.ref<!fir.array<10xi32>>
+! CHECK: fir.freemem %[[TEMP]]#0 : !fir.heap<!fir.array<10xi32>>
+
+! CHECK: %[[DES_AHOST:.*]] = hlfir.designate %[[AHOST]]#0 (%c1{{.*}}:%c5{{.*}}:%c1{{.*}}) shape %{{.*}} : (!fir.ref<!fir.array<10xi32>>, index, index, index, !fir.shape<1>) -> !fir.ref<!fir.array<5xi32>>
+! CHECK: %[[DES_ADEV:.*]] = hlfir.designate %[[ADEV]]#0 (%c1{{.*}}:%c5{{.*}}:%c1{{.*}}) shape %{{.*}} : (!fir.ref<!fir.array<10xi32>>, index, index, index, !fir.shape<1>) -> !fir.ref<!fir.array<5xi32>>
+! CHECK: fir.cuda_data_transfer %[[DES_AHOST]] to %[[DES_ADEV]] {transfer_kind = #fir.cuda_transfer<host_device>} : !fir.ref<!fir.array<5xi32>>, !fir.ref<!fir.array<5xi32>>
+
+! CHECK: %[[ELEMENTAL:.*]] = hlfir.elemental %{{.*}} unordered : (!fir.shape<1>) -> !hlfir.expr<10xi32> {
+! CHECK: %[[ALLOCMEM:.*]] = fir.allocmem !fir.array<10xi32> {bindc_name = ".tmp", uniq_name = ""}
+! CHECK: %[[TEMP:.*]]:2 = hlfir.declare %[[ALLOCMEM]](%{{.*}}) {uniq_name = ".tmp"} : (!fir.heap<!fir.array<10xi32>>, !fir.shape<1>) -> (!fir.heap<!fir.array<10xi32>>, !fir.heap<!fir.array<10xi32>>)
+! CHECK: hlfir.assign %[[ELEMENTAL]] to %[[TEMP]]#0 : !hlfir.expr<10xi32>, !fir.heap<!fir.array<10xi32>>
+! CHECK: fir.cuda_data_transfer %[[TEMP]]#0 to %[[ADEV]]#0 {transfer_kind = #fir.cuda_transfer<host_device>} : !fir.heap<!fir.array<10xi32>>, !fir.ref<!fir.array<10xi32>>
+! CHECK: fir.freemem %[[TEMP]]#0 : !fir.heap<!fir.array<10xi32>>
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