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8318306: java/util/Arrays/Sorting.java fails with "Array is not sorted at 8228-th position: 8251.0 and 8153.0"
Reviewed-by: thartmann, jbhateja
This commit is contained in:
parent
116503754c
commit
1f2a80b78a
2 changed files with 112 additions and 34 deletions
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@ -5367,8 +5367,6 @@ void LibraryCallKit::create_new_uncommon_trap(CallStaticJavaNode* uncommon_trap_
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//------------------------------inline_array_partition-----------------------
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//------------------------------inline_array_partition-----------------------
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bool LibraryCallKit::inline_array_partition() {
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bool LibraryCallKit::inline_array_partition() {
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const char *stubName = "array_partition_stub";
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Node* elementType = null_check(argument(0));
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Node* elementType = null_check(argument(0));
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Node* obj = argument(1);
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Node* obj = argument(1);
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Node* offset = argument(2);
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Node* offset = argument(2);
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@ -5377,6 +5375,13 @@ bool LibraryCallKit::inline_array_partition() {
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Node* indexPivot1 = argument(6);
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Node* indexPivot1 = argument(6);
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Node* indexPivot2 = argument(7);
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Node* indexPivot2 = argument(7);
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Node* pivotIndices = nullptr;
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// Set the original stack and the reexecute bit for the interpreter to reexecute
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// the bytecode that invokes DualPivotQuicksort.partition() if deoptimization happens.
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{ PreserveReexecuteState preexecs(this);
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jvms()->set_should_reexecute(true);
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const TypeInstPtr* elem_klass = gvn().type(elementType)->isa_instptr();
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const TypeInstPtr* elem_klass = gvn().type(elementType)->isa_instptr();
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ciType* elem_type = elem_klass->const_oop()->as_instance()->java_mirror_type();
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ciType* elem_type = elem_klass->const_oop()->as_instance()->java_mirror_type();
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BasicType bt = elem_type->basic_type();
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BasicType bt = elem_type->basic_type();
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@ -5396,7 +5401,7 @@ bool LibraryCallKit::inline_array_partition() {
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// create the pivotIndices array of type int and size = 2
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// create the pivotIndices array of type int and size = 2
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Node* size = intcon(2);
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Node* size = intcon(2);
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Node* klass_node = makecon(TypeKlassPtr::make(ciTypeArrayKlass::make(T_INT)));
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Node* klass_node = makecon(TypeKlassPtr::make(ciTypeArrayKlass::make(T_INT)));
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Node* pivotIndices = new_array(klass_node, size, 0); // no arguments to push
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pivotIndices = new_array(klass_node, size, 0); // no arguments to push
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AllocateArrayNode* alloc = tightly_coupled_allocation(pivotIndices);
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AllocateArrayNode* alloc = tightly_coupled_allocation(pivotIndices);
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guarantee(alloc != nullptr, "created above");
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guarantee(alloc != nullptr, "created above");
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Node* pivotIndices_adr = basic_plus_adr(pivotIndices, arrayOopDesc::base_offset_in_bytes(T_INT));
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Node* pivotIndices_adr = basic_plus_adr(pivotIndices, arrayOopDesc::base_offset_in_bytes(T_INT));
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@ -5405,11 +5410,14 @@ bool LibraryCallKit::inline_array_partition() {
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Node* elemType = intcon(bt);
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Node* elemType = intcon(bt);
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// Call the stub
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// Call the stub
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const char *stubName = "array_partition_stub";
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make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_partition_Type(),
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make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_partition_Type(),
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stubAddr, stubName, TypePtr::BOTTOM,
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stubAddr, stubName, TypePtr::BOTTOM,
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obj_adr, elemType, fromIndex, toIndex, pivotIndices_adr,
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obj_adr, elemType, fromIndex, toIndex, pivotIndices_adr,
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indexPivot1, indexPivot2);
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indexPivot1, indexPivot2);
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} // original reexecute is set back here
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if (!stopped()) {
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if (!stopped()) {
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set_result(pivotIndices);
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set_result(pivotIndices);
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}
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}
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@ -5421,9 +5429,6 @@ bool LibraryCallKit::inline_array_partition() {
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//------------------------------inline_array_sort-----------------------
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//------------------------------inline_array_sort-----------------------
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bool LibraryCallKit::inline_array_sort() {
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bool LibraryCallKit::inline_array_sort() {
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const char *stubName;
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stubName = "arraysort_stub";
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Node* elementType = null_check(argument(0));
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Node* elementType = null_check(argument(0));
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Node* obj = argument(1);
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Node* obj = argument(1);
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Node* offset = argument(2);
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Node* offset = argument(2);
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@ -5451,6 +5456,7 @@ bool LibraryCallKit::inline_array_sort() {
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Node* elemType = intcon(bt);
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Node* elemType = intcon(bt);
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// Call the stub.
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// Call the stub.
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const char *stubName = "arraysort_stub";
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make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_sort_Type(),
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make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_sort_Type(),
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stubAddr, stubName, TypePtr::BOTTOM,
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stubAddr, stubName, TypePtr::BOTTOM,
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obj_adr, elemType, fromIndex, toIndex);
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obj_adr, elemType, fromIndex, toIndex);
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@ -0,0 +1,72 @@
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/*
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* Copyright (c) 2023, Oracle and/or its affiliates. All rights reserved.
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* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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*
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* This code is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License version 2 only, as
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* published by the Free Software Foundation.
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*
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* This code is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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* version 2 for more details (a copy is included in the LICENSE file that
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* accompanied this code).
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*
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* You should have received a copy of the GNU General Public License version
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* 2 along with this work; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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*
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* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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* or visit www.oracle.com if you need additional information or have any
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* questions.
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*/
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/*
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* @test
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* @bug 8318306
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* @run main/othervm/timeout=200 -XX:+IgnoreUnrecognizedVMOptions -Xcomp -ea -esa -XX:CompileThreshold=100 -XX:+UnlockExperimentalVMOptions -server -XX:-TieredCompilation -XX:+DeoptimizeALot SortingDeoptimizationTest 1e-2 100 50
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* @summary Exercise Arrays.parallelSort when -XX:+DeoptimizeALot is enabled
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*
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*/
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import java.io.PrintStream;
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import java.util.Arrays;
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import java.util.Random;
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public class SortingDeoptimizationTest {
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private static final PrintStream err = System.err;
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private static final PrintStream out = System.out;
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public static void main(String[] args) {
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int MAX = 2147483647; // 2^32 - 1
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float fraction = Float.parseFloat(args[0]);
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int size = (int) (fraction * MAX); // size is a fraction of the MAX size
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int iters = Integer.parseInt(args[1]); // number of iterations
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int max = args.length > 2 ? Integer.parseInt(args[2]) : -1 ; // max value for the array elements
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long seed = 0xC0FFEE;
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Random rand = new Random(seed);
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for (int i = 0; i < iters; i++) {
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boolean isSorted = runSort(size, max, rand);
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out.println("Iteration " + i + ": is sorted? -> "+ isSorted);
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if (!isSorted) fail("Array is not correctly sorted.");
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}
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}
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private static void fail(String message) {
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err.format("\n*** TEST FAILED ***\n\n%s\n\n", message);
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throw new RuntimeException("Test failed");
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}
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private static boolean runSort(int size, int max, Random rand) {
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int[] a = new int[size];
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for (int i = 0; i < a.length; i++) a[i] = max > 0 ? rand.nextInt(max) : rand.nextInt();
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// call parallel sort
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Arrays.parallelSort(a);
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// check if sorted
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boolean isSorted = true;
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for (int i = 0; i < (a.length -1); i++) isSorted = isSorted && (a[i] <= a[i+1]);
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return isSorted;
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}
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}
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