Hardware
/
VexRiscv
mirror of https://github.com/SpinalHDL/VexRiscv.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Cleaning and remove BlockQ regression

This commit is contained in:
Charles Papon 2019-06-12 00:00:38 +02:00
parent 21ec368927
commit c8ab99cd0b
2 changed files with 14 additions and 49 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
src/test/cpp/regression/main.cpp
View File

@ -3443,7 +3443,7 @@ string freeRtosTests[] = {
// "test1","test1","test1","test1","test1","test1","test1","test1"
"AltQTest", "AltBlock", "AltPollQ", "blocktim", "countsem", "dead", "EventGroupsDemo", "flop", "integer", "QPeek",
"QueueSet", "recmutex", "semtest", "TaskNotify", "BlockQ", "crhook", "dynamic",
"QueueSet", "recmutex", "semtest", "TaskNotify", "crhook", "dynamic",
"GenQTest", "PollQ", "QueueOverwrite", "QueueSetPolling", "sp_flop", "test1"
//"BlockQ","BlockQ","BlockQ","BlockQ","BlockQ","BlockQ","BlockQ","BlockQ"
// "flop"
@ -3625,14 +3625,18 @@ static void multiThreading(queue<std::function<void()>> *lambdas, std::mutex *mu
static void multiThreadedExecute(queue<std::function<void()>> &lambdas){
std::mutex mutex;
std::thread * t[THREAD_COUNT];
for(int id = 0;id < THREAD_COUNT;id++){
t[id] = new thread(multiThreading,&lambdas,&mutex);
}
for(int id = 0;id < THREAD_COUNT;id++){
t[id]->join();
delete t[id];
std::mutex mutex;
if(THREAD_COUNT == 1){
multiThreading(&lambdas, &mutex);
} else {
std::thread * t[THREAD_COUNT];
for(int id = 0;id < THREAD_COUNT;id++){
t[id] = new thread(multiThreading,&lambdas,&mutex);
}
for(int id = 0;id < THREAD_COUNT;id++){
t[id]->join();
delete t[id];
}
}
}

41
src/test/scala/vexriscv/TestIndividualFeatures.scala
View File

@ -561,17 +561,7 @@ class TestIndividualFeatures extends FunSuite {
new MmuDimension
)
// def genDefaultsPositions(dims : Seq[VexRiscvDimension], stack : List[VexRiscvPosition] = Nil) : Seq[List[VexRiscvPosition]] = dims match {
// case head :: tail => head.default.flatMap(p => genDefaultsPositions(tail, p :: stack))
// case Nil => List(stack)
// }
// val usedPositions = mutable.HashSet[VexRiscvPosition]();
// val positionsCount = dimensions.map(d => d.positions.length).sum
def doTest(positionsToApply : List[VexRiscvPosition], prefix : String = "", testSeed : Int, universes : mutable.HashSet[VexRiscvUniverse]): Unit ={
// usedPositions ++= positionsToApply
val noMemory = universes.contains(VexRiscvUniverse.NO_MEMORY)
val noWriteback = universes.contains(VexRiscvUniverse.NO_WRITEBACK)
def gen = {
@ -606,8 +596,6 @@ class TestIndividualFeatures extends FunSuite {
}
}
// dimensions.foreach(d => d.positions.foreach(p => p.dimension = d))
val testId : Option[mutable.HashSet[Int]] = None
val seed = sys.env.getOrElse("VEXRISCV_REGRESSION_SEED", Random.nextLong().toString).toLong
@ -655,31 +643,4 @@ class TestIndividualFeatures extends FunSuite {
doTest(positions," random_" + i + "_", testSeed, universe)
Hack.dCounter += 1
}
// println(s"${usedPositions.size}/$positionsCount positions")
// for (dimension <- dimensions) {
// for (position <- dimension.positions/* if position.name.contains("Cached")*/) {
// for(defaults <- genDefaultsPositions(dimensions.filter(_ != dimension))){
// doTest(position :: defaults)
// }
// }
// }
}
/*
val seed = -2412372746600605141l
129
FAIL AltQTest_rv32i_O3
FAIL AltQTest_rv32ic_O3
FAIL GenQTest_rv32i_O0
134
FAIL AltQTest_rv32i_O3
val seed = 4331444545509090137l
1 => flops i O0
*/
}