Test Spatial Scheduling
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@@ -1,8 +1,10 @@
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#include <cassert>
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#include <cstdlib>
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#include <string>
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#include <vector>
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#include "src/Accelerators/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/Scheduling/PeftScheduler.hpp"
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#include "src/Accelerators/PIM/Dialect/Spatial/Passes/Transforms/MergeComputeNodes/Scheduling/PipelineScheduling.hpp"
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using namespace onnx_mlir::spatial;
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@@ -54,5 +56,95 @@ int main() {
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0,
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};
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assert(mapLogicalProcessorsToPhysicalCores(logicalTrafficFlits, alreadyPlaced) == std::vector<size_t>({0, 1, 2}));
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ComputeGraph graph;
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graph.successors.resize(6);
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graph.predecessors.resize(6);
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graph.successors[1].push_back({2, TransferCost {.fixed = 1, .networkFlits = 1}});
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graph.predecessors[2].push_back({1, TransferCost {.fixed = 1, .networkFlits = 1}});
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const Cost costs[] = {6, 4, 6, 4, 8, 8};
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for (uint32_t task = 0; task < 6; ++task) {
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ComputeInstance instance {nullptr, task, 1};
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ResidentWeight weight;
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weight.opaqueLane = task;
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graph.nodes.push_back({instance, costs[task], {weight}, task});
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graph.instanceToIndex[instance] = task;
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}
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MergeScheduleResult pipelineSchedule;
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pipelineSchedule.processorCount = 2;
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pipelineSchedule.dominanceOrderCompute.reserve(graph.nodes.size());
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for (size_t task = 0; task < graph.nodes.size(); ++task) {
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const ComputeInstance& instance = graph.nodes[task].instance;
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pipelineSchedule.dominanceOrderCompute.push_back(instance);
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size_t cpu = task < 4 ? 0 : 1;
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pipelineSchedule.computeToCpuMap[instance] = cpu;
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pipelineSchedule.computeToCpuSlotMap[instance] = task < 4 ? task : task - 4;
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pipelineSchedule.computeToAestMap[instance] = task;
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}
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SchedulingTarget physical = fast;
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physical.processorCount = 4;
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physical.residentWeightCapacity = 2;
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physical.interProcessorLatencyNs = {
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0, 3, 3, 3,
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3, 0, 3, 3,
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3, 3, 0, 3,
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3, 3, 3, 0,
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};
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std::string pipelineError;
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assert(mlir::succeeded(applyPipelineScheduling(
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graph, pipelineSchedule, 2, physical, pipelineError)));
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assert(pipelineSchedule.processorCount == 4);
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assert(pipelineSchedule.computeToCpuMap.lookup(graph.nodes[0].instance) == 0);
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assert(pipelineSchedule.computeToCpuMap.lookup(graph.nodes[1].instance) == 0);
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assert(pipelineSchedule.computeToCpuMap.lookup(graph.nodes[2].instance) == 2);
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assert(pipelineSchedule.computeToCpuMap.lookup(graph.nodes[3].instance) == 2);
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assert(pipelineSchedule.computeToCpuMap.lookup(graph.nodes[4].instance) == 1);
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assert(pipelineSchedule.computeToCpuMap.lookup(graph.nodes[5].instance) == 3);
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assert(pipelineSchedule.computeToAestMap.lookup(graph.nodes[2].instance)
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>= pipelineSchedule.computeToAestMap.lookup(graph.nodes[1].instance)
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+ graph.nodes[1].cost + 4);
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assert(pipelineSchedule.equivalentClass.empty());
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ComputeGraph communicationGraph;
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communicationGraph.successors.resize(5);
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communicationGraph.predecessors.resize(5);
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communicationGraph.successors[4].push_back(
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{3, TransferCost {.fixed = 0, .networkFlits = 1}});
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communicationGraph.predecessors[3].push_back(
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{4, TransferCost {.fixed = 0, .networkFlits = 1}});
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const Cost communicationCosts[] = {6, 4, 6, 4, 1};
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MergeScheduleResult communicationSchedule;
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communicationSchedule.processorCount = 2;
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for (uint32_t task = 0; task < 5; ++task) {
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ComputeInstance instance {nullptr, task, 1};
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ResidentWeight weight;
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weight.opaqueLane = task;
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communicationGraph.nodes.push_back(
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{instance, communicationCosts[task], {weight}, task});
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communicationGraph.instanceToIndex[instance] = task;
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communicationSchedule.dominanceOrderCompute.push_back(instance);
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size_t cpu = task < 4 ? 0 : 1;
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communicationSchedule.computeToCpuMap[instance] = cpu;
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communicationSchedule.computeToCpuSlotMap[instance] = task < 4 ? task : 0;
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communicationSchedule.computeToAestMap[instance] = task;
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}
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SchedulingTarget fastPipeline = physical;
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fastPipeline.residentWeightCapacity = 4;
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MergeScheduleResult fastCommunicationSchedule = communicationSchedule;
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assert(mlir::succeeded(applyPipelineScheduling(
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communicationGraph, fastCommunicationSchedule, 2, fastPipeline, pipelineError)));
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assert(fastCommunicationSchedule.computeToCpuMap.lookup(
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communicationGraph.nodes[2].instance) == 2);
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SchedulingTarget slowPipeline = fastPipeline;
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slowPipeline.averageInterProcessorLatencyNs = 10;
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MergeScheduleResult slowCommunicationSchedule = communicationSchedule;
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assert(mlir::succeeded(applyPipelineScheduling(
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communicationGraph, slowCommunicationSchedule, 2, slowPipeline, pipelineError)));
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assert(slowCommunicationSchedule.computeToCpuMap.lookup(
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communicationGraph.nodes[2].instance) < 2);
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return EXIT_SUCCESS;
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}
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