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author | Valentin Clement (バレンタイン クレメン) <clementval@gmail.com> | 2024-11-12 21:23:58 -0800 |
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committer | GitHub <noreply@github.com> | 2024-11-12 21:23:58 -0800 |
commit | 2583071fb4773348e9ef89ddff1f00f1db8abb84 (patch) | |
tree | de6f8bc76887f0f3611e139cf7cb2ba8390b3717 | |
parent | 4714215efb0486682feaa3a99162e80a934be8f9 (diff) | |
download | llvm-2583071fb4773348e9ef89ddff1f00f1db8abb84.zip llvm-2583071fb4773348e9ef89ddff1f00f1db8abb84.tar.gz llvm-2583071fb4773348e9ef89ddff1f00f1db8abb84.tar.bz2 |
[flang][cuda] Compute size of derived type arrays (#115914)
-rw-r--r-- | flang/lib/Optimizer/Transforms/CUFOpConversion.cpp | 17 | ||||
-rw-r--r-- | flang/test/Fir/CUDA/cuda-data-transfer.fir | 19 |
2 files changed, 31 insertions, 5 deletions
diff --git a/flang/lib/Optimizer/Transforms/CUFOpConversion.cpp b/flang/lib/Optimizer/Transforms/CUFOpConversion.cpp index 7ecb3b1..2db29732 100644 --- a/flang/lib/Optimizer/Transforms/CUFOpConversion.cpp +++ b/flang/lib/Optimizer/Transforms/CUFOpConversion.cpp @@ -321,9 +321,15 @@ struct CUFAllocOpConversion : public mlir::OpRewritePattern<cuf::AllocOp> { builder.createIntegerConstant(loc, builder.getIndexType(), width); } else if (auto seqTy = mlir::dyn_cast_or_null<fir::SequenceType>( op.getInType())) { - mlir::Value width = builder.createIntegerConstant( - loc, builder.getIndexType(), - computeWidth(loc, seqTy.getEleTy(), kindMap)); + std::size_t size = 0; + if (fir::isa_derived(seqTy.getEleTy())) { + mlir::Type structTy = typeConverter->convertType(seqTy.getEleTy()); + size = dl->getTypeSizeInBits(structTy) / 8; + } else { + size = computeWidth(loc, seqTy.getEleTy(), kindMap); + } + mlir::Value width = + builder.createIntegerConstant(loc, builder.getIndexType(), size); mlir::Value nbElem; if (fir::sequenceWithNonConstantShape(seqTy)) { assert(!op.getShape().empty() && "expect shape with dynamic arrays"); @@ -580,8 +586,9 @@ struct CUFDataTransferOpConversion loc, i64Ty, seqTy.getConstantArraySize()); } unsigned width = 0; - if (fir::isa_derived(dstTy)) { - mlir::Type structTy = typeConverter->convertType(dstTy); + if (fir::isa_derived(fir::unwrapSequenceType(dstTy))) { + mlir::Type structTy = + typeConverter->convertType(fir::unwrapSequenceType(dstTy)); width = dl->getTypeSizeInBits(structTy) / 8; } else { width = computeWidth(loc, dstTy, kindMap); diff --git a/flang/test/Fir/CUDA/cuda-data-transfer.fir b/flang/test/Fir/CUDA/cuda-data-transfer.fir index 1a31c4c..9a425cb 100644 --- a/flang/test/Fir/CUDA/cuda-data-transfer.fir +++ b/flang/test/Fir/CUDA/cuda-data-transfer.fir @@ -308,4 +308,23 @@ func.func @_QPtest_type() { // CHECK-LABEL: func.func @_QPtest_type() // CHECK: fir.call @_FortranACUFDataTransferPtrPtr(%{{.*}}, %{{.*}}, %c12{{.*}}, %c0{{.*}}, %{{.*}}, %{{.*}}) : (!fir.llvm_ptr<i8>, !fir.llvm_ptr<i8>, i64, i32, !fir.ref<i8>, i32) -> none +func.func @_QPtest_array_type() { + %c10 = arith.constant 10 : index + %0 = cuf.alloc !fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>> {bindc_name = "a", data_attr = #cuf.cuda<device>, uniq_name = "_QFtest_array_typeEa"} -> !fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>> + %1 = fir.shape %c10 : (index) -> !fir.shape<1> + %2 = fir.declare %0(%1) {data_attr = #cuf.cuda<device>, uniq_name = "_QFtest_array_typeEa"} : (!fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>>, !fir.shape<1>) -> !fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>> + %3 = fir.alloca !fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>> {bindc_name = "b", uniq_name = "_QFtest_array_typeEb"} + %4 = fir.declare %3(%1) {uniq_name = "_QFtest_array_typeEb"} : (!fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>>, !fir.shape<1>) -> !fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>> + cuf.data_transfer %4 to %2 {transfer_kind = #cuf.cuda_transfer<host_device>} : !fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>>, !fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>> + cuf.free %2 : !fir.ref<!fir.array<10x!fir.type<_QMbarTcmplx{id:i32,c:complex<f32>}>>> {data_attr = #cuf.cuda<device>} + return +} + +// CHECK-LABEL: func.func @_QPtest_array_type() +// CHECK: %[[BYTES:.*]] = arith.muli %c10{{.*}}, %c12 : index +// CHECK: %[[CONV_BYTES:.*]] = fir.convert %[[BYTES]] : (index) -> i64 +// CHECK: fir.call @_FortranACUFMemAlloc(%[[CONV_BYTES]], %c0{{.*}}, %{{.*}}, %{{.*}}) : (i64, i32, !fir.ref<i8>, i32) -> !fir.llvm_ptr<i8> +// CHECK: %[[BYTES:.*]] = arith.muli %c10{{.*}}, %c12{{.*}} : i64 +// CHECK: fir.call @_FortranACUFDataTransferPtrPtr(%{{.*}}, %{{.*}}, %[[BYTES]], %c0{{.*}}, %{{.*}}, %{{.*}}) : (!fir.llvm_ptr<i8>, !fir.llvm_ptr<i8>, i64, i32, !fir.ref<i8>, i32) -> none + } // end of module |