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[flang][hlfir] Avoid expr buffer reuse when end_associate may cycle.
If end_associate may execute more times than the expr value producer, then it cannot take ownership of the expr buffer. Otherwise, it may result in double-free errors. Note that the LIT test exposes a different issue with fir.alloca inside the do-loop produced for hlfir.elemental. This may cause out-of-stack conditions in valid Fortran programs that are not expected to run out of stack. I will create an issue for this. Reviewed By: tblah Differential Revision: https://reviews.llvm.org/D155778
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@@ -379,9 +379,26 @@ struct GetLengthOpConversion
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/// expression bufferization at hlfir.end_associate. If there was more than one
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/// hlfir.end_associate, it would be cleaned up multiple times, perhaps before
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/// one of the other uses.
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/// Note that we have to be careful about expressions used by a single
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/// hlfir.end_associate that may be executed more times than the producer
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/// of the expression value. This may also cause multiple clean-ups
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/// for the same memory (e.g. cause double-free errors). For example,
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/// hlfir.end_associate inside hlfir.elemental may cause such issues
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/// for expressions produced outside of hlfir.elemental.
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static bool allOtherUsesAreSafeForAssociate(mlir::Value value,
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mlir::Operation *currentUse,
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mlir::Operation *endAssociate) {
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// If value producer is from a different region than
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// hlfir.associate/end_associate, then conservatively assume
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// that the hlfir.end_associate may execute more times than
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// the value producer.
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// TODO: this may be improved for operations that cannot
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// result in multiple executions (e.g. ifOp).
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if (value.getParentRegion() != currentUse->getParentRegion() ||
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(endAssociate &&
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value.getParentRegion() != endAssociate->getParentRegion()))
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return false;
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for (mlir::Operation *useOp : value.getUsers())
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if (!mlir::isa<hlfir::DestroyOp>(useOp) && useOp != currentUse) {
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// hlfir.shape_of and hlfir.get_length will not disrupt cleanup so it is
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@@ -504,7 +521,7 @@ struct AssociateOpConversion
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}
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// non-trivial value with more than one use. We will have to make a copy and
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// use that
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hlfir::Entity source = hlfir::Entity{adaptor.getSource()};
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hlfir::Entity source = hlfir::Entity{bufferizedExpr};
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auto [temp, cleanup] = createTempFromMold(loc, builder, source);
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builder.create<hlfir::AssignOp>(loc, source, temp, temp.isAllocatable(),
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/*keep_lhs_length_if_realloc=*/false,
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@@ -366,3 +366,57 @@ func.func private @take_i4(!fir.ref<i32>)
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func.func private @take_r4(!fir.ref<f32>)
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func.func private @take_l4(!fir.ref<!fir.logical<4>>)
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func.func private @take_c(!fir.boxchar<1>)
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// Test the hlfir.associate/hlfir.end_associate does not take ownership over
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// a single-use hlfir.expr if hlfir.end_associate might be executed more times
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// than the producer of hlfir.expr. This might cause double-free effects.
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func.func @_QPtest_multiple_expr_uses_inside_elemental() {
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%true = arith.constant true
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%18 = fir.undefined !fir.heap<!fir.char<1,?>>
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%17 = fir.undefined index
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%19:2 = hlfir.declare %18 typeparams %17 {uniq_name = ".tmp.intrinsic_result"} : (!fir.heap<!fir.char<1,?>>, index) -> (!fir.boxchar<1>, !fir.heap<!fir.char<1,?>>)
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%20 = hlfir.as_expr %19#0 move %true : (!fir.boxchar<1>, i1) -> !hlfir.expr<!fir.char<1,?>>
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%21 = fir.undefined index
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%22 = fir.shape %21 : (index) -> !fir.shape<1>
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%23 = hlfir.elemental %22 unordered : (!fir.shape<1>) -> !hlfir.expr<?x!fir.logical<4>> {
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^bb0(%arg2: index):
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%35:3 = hlfir.associate %20 typeparams %17 {uniq_name = "adapt.valuebyref"} : (!hlfir.expr<!fir.char<1,?>>, index) -> (!fir.boxchar<1>, !fir.ref<!fir.char<1,?>>, i1)
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hlfir.end_associate %35#1, %35#2 : !fir.ref<!fir.char<1,?>>, i1
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%ci1 = arith.constant 1 : i1
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%42 = fir.convert %ci1 : (i1) -> !fir.logical<4>
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hlfir.yield_element %42 : !fir.logical<4>
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}
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return
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}
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// CHECK-LABEL: func.func @_QPtest_multiple_expr_uses_inside_elemental() {
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// CHECK: %[[VAL_2:.*]] = arith.constant true
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// CHECK: %[[VAL_3:.*]] = fir.undefined !fir.heap<!fir.char<1,?>>
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// CHECK: %[[VAL_4:.*]] = fir.undefined index
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// CHECK: %[[VAL_5:.*]]:2 = hlfir.declare %[[VAL_3]] typeparams %[[VAL_4]] {uniq_name = ".tmp.intrinsic_result"} : (!fir.heap<!fir.char<1,?>>, index) -> (!fir.boxchar<1>, !fir.heap<!fir.char<1,?>>)
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// CHECK: %[[VAL_6:.*]] = fir.undefined tuple<!fir.boxchar<1>, i1>
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// CHECK: %[[VAL_7:.*]] = fir.insert_value %[[VAL_6]], %[[VAL_2]], [1 : index] : (tuple<!fir.boxchar<1>, i1>, i1) -> tuple<!fir.boxchar<1>, i1>
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// CHECK: %[[VAL_8:.*]] = fir.insert_value %[[VAL_7]], %[[VAL_5]]#0, [0 : index] : (tuple<!fir.boxchar<1>, i1>, !fir.boxchar<1>) -> tuple<!fir.boxchar<1>, i1>
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// CHECK: %[[VAL_9:.*]] = fir.undefined index
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// CHECK: %[[VAL_10:.*]] = fir.shape %[[VAL_9]] : (index) -> !fir.shape<1>
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// CHECK: %[[VAL_11:.*]] = fir.allocmem !fir.array<?x!fir.logical<4>>, %[[VAL_9]] {bindc_name = ".tmp.array", uniq_name = ""}
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// CHECK: %[[VAL_12:.*]]:2 = hlfir.declare %[[VAL_11]](%[[VAL_10]]) {uniq_name = ".tmp.array"} : (!fir.heap<!fir.array<?x!fir.logical<4>>>, !fir.shape<1>) -> (!fir.box<!fir.array<?x!fir.logical<4>>>, !fir.heap<!fir.array<?x!fir.logical<4>>>)
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// CHECK: %[[VAL_13:.*]] = arith.constant true
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// CHECK: %[[VAL_14:.*]] = arith.constant 1 : index
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// CHECK: fir.do_loop %[[VAL_15:.*]] = %[[VAL_14]] to %[[VAL_9]] step %[[VAL_14]] unordered {
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// CHECK: %[[VAL_16:.*]] = fir.alloca !fir.char<1,?>(%[[VAL_4]] : index) {bindc_name = ".tmp"}
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// CHECK: %[[VAL_17:.*]] = arith.constant false
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// CHECK: %[[VAL_18:.*]]:2 = hlfir.declare %[[VAL_16]] typeparams %[[VAL_4]] {uniq_name = ".tmp"} : (!fir.ref<!fir.char<1,?>>, index) -> (!fir.boxchar<1>, !fir.ref<!fir.char<1,?>>)
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// CHECK: hlfir.assign %[[VAL_5]]#0 to %[[VAL_18]]#0 temporary_lhs : !fir.boxchar<1>, !fir.boxchar<1>
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// CHECK: %[[VAL_19:.*]] = fir.undefined tuple<!fir.boxchar<1>, i1>
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// CHECK: %[[VAL_20:.*]] = fir.insert_value %[[VAL_19]], %[[VAL_17]], [1 : index] : (tuple<!fir.boxchar<1>, i1>, i1) -> tuple<!fir.boxchar<1>, i1>
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// CHECK: %[[VAL_21:.*]] = fir.insert_value %[[VAL_20]], %[[VAL_18]]#0, [0 : index] : (tuple<!fir.boxchar<1>, i1>, !fir.boxchar<1>) -> tuple<!fir.boxchar<1>, i1>
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// CHECK: %[[VAL_22:.*]] = arith.constant true
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// CHECK: %[[VAL_23:.*]] = fir.convert %[[VAL_22]] : (i1) -> !fir.logical<4>
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// CHECK: %[[VAL_24:.*]] = hlfir.designate %[[VAL_12]]#0 (%[[VAL_15]]) : (!fir.box<!fir.array<?x!fir.logical<4>>>, index) -> !fir.ref<!fir.logical<4>>
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// CHECK: hlfir.assign %[[VAL_23]] to %[[VAL_24]] temporary_lhs : !fir.logical<4>, !fir.ref<!fir.logical<4>>
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// CHECK: }
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// CHECK: %[[VAL_25:.*]] = fir.undefined tuple<!fir.box<!fir.array<?x!fir.logical<4>>>, i1>
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// CHECK: %[[VAL_26:.*]] = fir.insert_value %[[VAL_25]], %[[VAL_13]], [1 : index] : (tuple<!fir.box<!fir.array<?x!fir.logical<4>>>, i1>, i1) -> tuple<!fir.box<!fir.array<?x!fir.logical<4>>>, i1>
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// CHECK: %[[VAL_27:.*]] = fir.insert_value %[[VAL_26]], %[[VAL_12]]#0, [0 : index] : (tuple<!fir.box<!fir.array<?x!fir.logical<4>>>, i1>, !fir.box<!fir.array<?x!fir.logical<4>>>) -> tuple<!fir.box<!fir.array<?x!fir.logical<4>>>, i1>
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// CHECK: return
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// CHECK: }
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