fix scheduling reasoning on physical cores directly
Validate Operations / validate-operations (push) Failing after 3h11m44s

This commit is contained in:
NiccoloN
2026-09-07 18:03:27 +02:00
parent a6ebd047b5
commit 80bbf75883
12 changed files with 340 additions and 520 deletions
+181 -50
View File
@@ -3,15 +3,156 @@
#include <string>
#include <vector>
#include "mlir/IR/BuiltinOps.h"
#include "src/Accelerators/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/DeferredCommunicationScheduling.hpp"
#include "src/Accelerators/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/DeferredTransferPlanning.hpp"
#include "src/Accelerators/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/Scheduling/PeftScheduler.hpp"
#include "src/Accelerators/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/Scheduling/PipelineScheduling.hpp"
using namespace onnx_mlir::spatial;
static void testPhysicalPeft() {
TransferCost transfer {.fixed = 50, .networkFlits = 4};
SchedulingTarget line;
line.processorCount = 3;
line.interProcessorLatencyNs = {
0,
1,
10,
1,
0,
1,
10,
1,
0,
};
line.averageInterProcessorLatencyNs = 4;
assert(getPeftTransferTime(transfer, 0, 1, line) == 54);
assert(getPeftTransferTime(transfer, 0, 2, line) == 90);
SchedulingTarget reversed = line;
reversed.interProcessorLatencyNs = {0, 10, 1, 10, 0, 1, 1, 1, 0};
assert(getPeftTransferTime(transfer, 0, 1, reversed) == 90);
assert(getPeftTransferTime(transfer, 0, 2, reversed) == 54);
mlir::MLIRContext context;
mlir::OwningOpRef<mlir::ModuleOp> owner =
mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));
ComputeGraph chain;
chain.successors.resize(3);
chain.predecessors.resize(3);
for (uint32_t task = 0; task < 3; ++task) {
ComputeInstance instance {owner->getOperation(), task, 1};
ResidentWeight weight;
weight.opaqueLane = task;
chain.nodes.push_back({instance, 10, {weight}, task});
if (task != 0) {
chain.successors[task - 1].push_back({task, transfer});
chain.predecessors[task].push_back({task - 1, transfer});
}
}
line.residentWeightCapacity = reversed.residentWeightCapacity = 3;
for (const SchedulingTarget &target : {line, reversed}) {
auto scheduled = runPeftScheduler(chain, {target, &context});
size_t firstCore = scheduled.computeToCpuMap.lookup(chain.nodes[0].instance);
assert(firstCore == (target.interProcessorLatencyNs == line.interProcessorLatencyNs ? 1 : 2));
for (size_t task = 1; task < chain.nodes.size(); ++task) {
auto previous = chain.nodes[task - 1].instance;
auto current = chain.nodes[task].instance;
size_t source = scheduled.computeToCpuMap.lookup(previous);
size_t destination = scheduled.computeToCpuMap.lookup(current);
assert(source != destination);
assert(scheduled.computeToAestMap.lookup(current)
== scheduled.computeToAestMap.lookup(previous) + 10
+ getPeftTransferTime(transfer, source, destination, target));
}
}
}
static void testPipelineInputArrival() {
ComputeGraph graph;
graph.successors.resize(4);
graph.predecessors.resize(4);
MergeScheduleResult schedule;
schedule.processorCount = 4;
for (uint32_t task = 0; task < 4; ++task) {
ComputeInstance instance {nullptr, task, 1};
ResidentWeight weight;
weight.opaqueLane = task;
graph.nodes.push_back({instance, 1, {weight}, task});
schedule.dominanceOrderCompute.push_back(instance);
schedule.computeToCpuMap[instance] = task;
schedule.computeToCpuSlotMap[instance] = 0;
if (task != 0) {
TransferCost transfer {.fixed = 0, .networkFlits = 100};
graph.predecessors[task].push_back({task - 1, transfer});
graph.successors[task - 1].push_back({task, transfer});
}
}
SchedulingTarget target;
target.processorCount = 4;
target.residentWeightCapacity = 4;
target.interProcessorLatencyNs.assign(16, 1);
for (size_t core = 0; core < 4; ++core)
target.interProcessorLatencyNs[core * 4 + core] = 0;
std::string error;
assert(mlir::succeeded(applyPipelineScheduling(graph, schedule, 2, target, error)));
for (size_t first : {0, 2}) {
size_t source = schedule.computeToCpuMap.lookup(graph.nodes[first].instance);
size_t destination = schedule.computeToCpuMap.lookup(graph.nodes[first + 1].instance);
assert(schedule.processorStages[source] == first / 2);
// An idle remote core would finish later than waiting for the local core.
assert(source == destination);
}
}
static void testReadyCommunication() {
mlir::MLIRContext context;
mlir::OwningOpRef<mlir::ModuleOp> owner =
mlir::ModuleOp::create(mlir::UnknownLoc::get(&context));
auto type = mlir::RankedTensorType::get({1}, mlir::Float32Type::get(&context));
mlir::Block payloads;
auto payload = payloads.addArgument(type, owner->getLoc());
DeferredTransferPlan plan;
plan.stepCounts = {3, 1, 1};
plan.scheduled.resize(3);
for (auto [index, info] : llvm::enumerate(plan.scheduled)) {
info.op = owner->getOperation();
info.streamIds.push_back(index);
}
ProducedValue producer;
producer.scheduled = &plan.scheduled[0];
producer.payload = payload;
// Two consumers exercise removal of already-scheduled ready-queue entries.
for (unsigned target = 1; target <= 2; ++target) {
auto exchange = std::make_unique<DeferredExchangePlan>();
exchange->target = &plan.scheduled[target];
exchange->exchangeId = target;
RequirementFamily requirement;
requirement.producer = &producer;
requirement.publicationFragmentType = type;
exchange->requirements.push_back(requirement);
ExternalTransferFamily transfer;
transfer.requirement = &exchange->requirements.front();
transfer.sourceScheduled = producer.scheduled;
transfer.targetScheduled = exchange->target;
transfer.targetLanes = LaneSet::all(1);
transfer.targetStreams = onnx_mlir::StaticIntSequence::uniform(target, 1);
exchange->external.push_back(transfer);
plan.exchanges.push_back(std::move(exchange));
}
auto scheduled = scheduleDeferredCommunication({}, plan);
assert(mlir::succeeded(scheduled));
assert(scheduled->slices.size() == 2);
for (const auto &slice : scheduled->slices)
assert(slice.sourceInsertionStep == 1);
}
int main() {
testPipelineInputArrival();
testReadyCommunication();
PipelineCoreLayout unevenLayout(138, 4);
assert(unevenLayout.isValid());
assert(unevenLayout.getLogicalProcessorCount() == 34);
assert(unevenLayout.getStageRange(0).begin == 0);
assert(unevenLayout.getStageRange(0).size == 35);
assert(unevenLayout.getStageRange(1).begin == 35);
@@ -56,43 +197,7 @@ int main() {
assert(fast.getInterProcessorLatencyNs(0, 1) == 3);
assert(slow.getInterProcessorLatencyNs(0, 1) == 10);
SchedulingTarget line;
line.processorCount = 3;
line.interProcessorLatencyNs = {
0,
1,
10,
1,
0,
1,
10,
1,
0,
};
std::vector<Cost> logicalTrafficFlits(9, 0);
logicalTrafficFlits[2] = 100;
assert(mapLogicalProcessorsToPhysicalCores(logicalTrafficFlits, line) == std::vector<size_t>({1, 0, 2}));
SchedulingTarget alreadyPlaced = line;
alreadyPlaced.interProcessorLatencyNs = {
0,
10,
1,
10,
0,
1,
1,
1,
0,
};
assert(mapLogicalProcessorsToPhysicalCores(logicalTrafficFlits, alreadyPlaced) == std::vector<size_t>({0, 1, 2}));
std::vector<size_t> placementGroups {0, 1, 1};
std::vector<size_t> groupedPlacement = mapLogicalProcessorsToPhysicalCores(
logicalTrafficFlits, line, placementGroups);
for (size_t processor = 0; processor < groupedPlacement.size(); ++processor)
assert(placementGroups[processor]
== placementGroups[groupedPlacement[processor]]);
testPhysicalPeft();
ComputeGraph graph;
graph.successors.resize(6);
@@ -108,16 +213,16 @@ int main() {
graph.instanceToIndex[instance] = task;
}
MergeScheduleResult logicalSchedule;
logicalSchedule.processorCount = 2;
logicalSchedule.dominanceOrderCompute.reserve(graph.nodes.size());
MergeScheduleResult physicalSchedule;
physicalSchedule.processorCount = 4;
physicalSchedule.dominanceOrderCompute.reserve(graph.nodes.size());
for (size_t task = 0; task < graph.nodes.size(); ++task) {
const ComputeInstance& instance = graph.nodes[task].instance;
logicalSchedule.dominanceOrderCompute.push_back(instance);
physicalSchedule.dominanceOrderCompute.push_back(instance);
size_t cpu = task < 4 ? 0 : 1;
logicalSchedule.computeToCpuMap[instance] = cpu;
logicalSchedule.computeToCpuSlotMap[instance] = task < 4 ? task : task - 4;
logicalSchedule.computeToAestMap[instance] = task;
physicalSchedule.computeToCpuMap[instance] = cpu;
physicalSchedule.computeToCpuSlotMap[instance] = task < 4 ? task : task - 4;
physicalSchedule.computeToAestMap[instance] = task;
}
SchedulingTarget physical = fast;
@@ -129,24 +234,46 @@ int main() {
3, 3, 0, 3,
3, 3, 3, 0,
};
SchedulingTarget clustered = physical;
clustered.interProcessorLatencyNs = {
0, 20, 1, 20,
20, 0, 20, 1,
1, 20, 0, 20,
20, 1, 20, 0,
};
PipelineCoreLayout clusteredLayout(std::vector<size_t> {2, 2}, clustered);
assert(clusteredLayout.getPhysicalCore(0) == 0);
assert(clusteredLayout.getPhysicalCore(1) == 2);
assert(clusteredLayout.getStageForCore(0) == 0);
assert(clusteredLayout.getStageForCore(2) == 0);
assert(clusteredLayout.getStageForCore(1) == 1);
assert(clusteredLayout.getStageForCore(3) == 1);
PipelineCoreLayout uniformLayout(std::vector<size_t> {2, 2}, physical);
assert(uniformLayout.getPhysicalCore(1) == 1);
std::string pipelineError;
ComputeGraph preparationGraph = graph;
ResidentWeight extraWeight;
extraWeight.opaqueLane = graph.nodes.size();
preparationGraph.nodes[2].residentWeights.push_back(extraWeight);
auto preparation = preparePipelineWorkload(
preparationGraph, logicalSchedule, 2, physical, pipelineError);
preparationGraph, 2, physical, pipelineError);
assert(mlir::succeeded(preparation));
assert(*preparation == PipelineWorkloadPreparation::Ready);
extraWeight.opaqueLane++;
preparationGraph.nodes[2].residentWeights.push_back(extraWeight);
assert(mlir::failed(preparePipelineWorkload(
preparationGraph, 2, physical, pipelineError)));
assert(pipelineError.find("physical core's crossbars") != std::string::npos);
pipelineError.clear();
ComputeGraph emptyGraph;
MergeScheduleResult emptySchedule;
emptySchedule.processorCount = 2;
emptySchedule.processorCount = 4;
assert(mlir::succeeded(applyPipelineScheduling(
emptyGraph, emptySchedule, 2, physical, pipelineError)));
assert(emptySchedule.processorCount == physical.processorCount);
assert(emptySchedule.processorStages == std::vector<size_t>({0, 0, 1, 1}));
MergeScheduleResult pipelineSchedule = logicalSchedule;
MergeScheduleResult pipelineSchedule = physicalSchedule;
assert(mlir::succeeded(applyPipelineScheduling(
graph, pipelineSchedule, 2, physical, pipelineError)));
assert(pipelineSchedule.processorCount == 4);
@@ -175,7 +302,8 @@ int main() {
fourStagePhysical.interProcessorLatencyNs.assign(64, 3);
for (size_t core = 0; core < 8; ++core)
fourStagePhysical.interProcessorLatencyNs[core * 8 + core] = 0;
MergeScheduleResult fourStageSchedule = logicalSchedule;
MergeScheduleResult fourStageSchedule = physicalSchedule;
fourStageSchedule.processorCount = 8;
assert(mlir::succeeded(applyPipelineScheduling(
graph, fourStageSchedule, 4, fourStagePhysical, pipelineError)));
for (size_t task = 0; task < graph.nodes.size(); ++task)
@@ -199,7 +327,7 @@ int main() {
{4, TransferCost {.fixed = 0, .networkFlits = 1}});
const Cost communicationCosts[] = {6, 4, 6, 4, 1};
MergeScheduleResult communicationSchedule;
communicationSchedule.processorCount = 2;
communicationSchedule.processorCount = 4;
for (uint32_t task = 0; task < 5; ++task) {
ComputeInstance instance {nullptr, task, 1};
ResidentWeight weight;
@@ -222,6 +350,9 @@ int main() {
SchedulingTarget slowPipeline = fastPipeline;
slowPipeline.averageInterProcessorLatencyNs = 10;
slowPipeline.interProcessorLatencyNs.assign(16, 10);
for (size_t core = 0; core < 4; ++core)
slowPipeline.interProcessorLatencyNs[core * 4 + core] = 0;
MergeScheduleResult slowCommunicationSchedule = communicationSchedule;
assert(mlir::succeeded(applyPipelineScheduling(
communicationGraph, slowCommunicationSchedule, 2, slowPipeline, pipelineError)));