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							8.5 KiB
						
					
					
				
			
		
		
	
	
							277 lines
						
					
					
						
							8.5 KiB
						
					
					
				#pragma once
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// gate this here
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#define TEMPORAL
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#define DESIRE
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#define TRAFFIC_CONVENTION
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#include <array>
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#include <memory>
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#include "cereal/messaging/messaging.h"
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#include "cereal/visionipc/visionipc_client.h"
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#include "common/mat.h"
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#include "common/modeldata.h"
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#include "common/util.h"
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#include "selfdrive/modeld/models/commonmodel.h"
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#include "selfdrive/modeld/runners/run.h"
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constexpr int DESIRE_LEN = 8;
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constexpr int DESIRE_PRED_LEN = 4;
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constexpr int TRAFFIC_CONVENTION_LEN = 2;
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constexpr int MODEL_FREQ = 20;
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constexpr int DISENGAGE_LEN = 5;
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constexpr int BLINKER_LEN = 6;
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constexpr int META_STRIDE = 7;
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constexpr int PLAN_MHP_N = 5;
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constexpr int STOP_LINE_MHP_N = 3;
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constexpr int LEAD_MHP_N = 2;
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constexpr int LEAD_TRAJ_LEN = 6;
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constexpr int LEAD_PRED_DIM = 4;
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constexpr int LEAD_MHP_SELECTION = 3;
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struct ModelOutputXYZ {
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  float x;
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  float y;
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  float z;
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};
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static_assert(sizeof(ModelOutputXYZ) == sizeof(float)*3);
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struct ModelOutputYZ {
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  float y;
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  float z;
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};
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static_assert(sizeof(ModelOutputYZ) == sizeof(float)*2);
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struct ModelOutputPlanElement {
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  ModelOutputXYZ position;
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  ModelOutputXYZ velocity;
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  ModelOutputXYZ acceleration;
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  ModelOutputXYZ rotation;
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  ModelOutputXYZ rotation_rate;
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};
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static_assert(sizeof(ModelOutputPlanElement) == sizeof(ModelOutputXYZ)*5);
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struct ModelOutputPlanPrediction {
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  std::array<ModelOutputPlanElement, TRAJECTORY_SIZE> mean;
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  std::array<ModelOutputPlanElement, TRAJECTORY_SIZE> std;
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  float prob;
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};
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static_assert(sizeof(ModelOutputPlanPrediction) == (sizeof(ModelOutputPlanElement)*TRAJECTORY_SIZE*2) + sizeof(float));
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struct ModelOutputPlans {
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  std::array<ModelOutputPlanPrediction, PLAN_MHP_N> prediction;
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  constexpr const ModelOutputPlanPrediction &get_best_prediction() const {
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    int max_idx = 0;
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    for (int i = 1; i < prediction.size(); i++) {
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      if (prediction[i].prob > prediction[max_idx].prob) {
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        max_idx = i;
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      }
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    }
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    return prediction[max_idx];
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  }
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};
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static_assert(sizeof(ModelOutputPlans) == sizeof(ModelOutputPlanPrediction)*PLAN_MHP_N);
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struct ModelOutputLinesXY {
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  std::array<ModelOutputYZ, TRAJECTORY_SIZE> left_far;
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  std::array<ModelOutputYZ, TRAJECTORY_SIZE> left_near;
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  std::array<ModelOutputYZ, TRAJECTORY_SIZE> right_near;
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  std::array<ModelOutputYZ, TRAJECTORY_SIZE> right_far;
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};
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static_assert(sizeof(ModelOutputLinesXY) == sizeof(ModelOutputYZ)*TRAJECTORY_SIZE*4);
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struct ModelOutputLineProbVal {
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  float val_deprecated;
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  float val;
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};
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static_assert(sizeof(ModelOutputLineProbVal) == sizeof(float)*2);
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struct ModelOutputLinesProb {
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  ModelOutputLineProbVal left_far;
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  ModelOutputLineProbVal left_near;
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  ModelOutputLineProbVal right_near;
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  ModelOutputLineProbVal right_far;
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};
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static_assert(sizeof(ModelOutputLinesProb) == sizeof(ModelOutputLineProbVal)*4);
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struct ModelOutputLaneLines {
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  ModelOutputLinesXY mean;
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  ModelOutputLinesXY std;
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  ModelOutputLinesProb prob;
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};
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static_assert(sizeof(ModelOutputLaneLines) == (sizeof(ModelOutputLinesXY)*2) + sizeof(ModelOutputLinesProb));
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struct ModelOutputEdgessXY {
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  std::array<ModelOutputYZ, TRAJECTORY_SIZE> left;
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  std::array<ModelOutputYZ, TRAJECTORY_SIZE> right;
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};
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static_assert(sizeof(ModelOutputEdgessXY) == sizeof(ModelOutputYZ)*TRAJECTORY_SIZE*2);
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struct ModelOutputRoadEdges {
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  ModelOutputEdgessXY mean;
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  ModelOutputEdgessXY std;
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};
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static_assert(sizeof(ModelOutputRoadEdges) == (sizeof(ModelOutputEdgessXY)*2));
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struct ModelOutputLeadElement {
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  float x;
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  float y;
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  float velocity;
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  float acceleration;
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};
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static_assert(sizeof(ModelOutputLeadElement) == sizeof(float)*4);
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struct ModelOutputLeadPrediction {
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  std::array<ModelOutputLeadElement, LEAD_TRAJ_LEN> mean;
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  std::array<ModelOutputLeadElement, LEAD_TRAJ_LEN> std;
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  std::array<float, LEAD_MHP_SELECTION> prob;
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};
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static_assert(sizeof(ModelOutputLeadPrediction) == (sizeof(ModelOutputLeadElement)*LEAD_TRAJ_LEN*2) + (sizeof(float)*LEAD_MHP_SELECTION));
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struct ModelOutputLeads {
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  std::array<ModelOutputLeadPrediction, LEAD_MHP_N> prediction;
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  std::array<float, LEAD_MHP_SELECTION> prob;
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  constexpr const ModelOutputLeadPrediction &get_best_prediction(int t_idx) const {
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    int max_idx = 0;
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    for (int i = 1; i < prediction.size(); i++) {
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      if (prediction[i].prob[t_idx] > prediction[max_idx].prob[t_idx]) {
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        max_idx = i;
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      }
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    }
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    return prediction[max_idx];
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  }
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};
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static_assert(sizeof(ModelOutputLeads) == (sizeof(ModelOutputLeadPrediction)*LEAD_MHP_N) + (sizeof(float)*LEAD_MHP_SELECTION));
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struct ModelOutputStopLineElement {
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  ModelOutputXYZ position;
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  ModelOutputXYZ rotation;
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  float speed;
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  float time;
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};
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static_assert(sizeof(ModelOutputStopLineElement) == (sizeof(ModelOutputXYZ)*2 + sizeof(float)*2));
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struct ModelOutputStopLinePrediction {
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  ModelOutputStopLineElement mean;
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  ModelOutputStopLineElement std;
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  float prob;
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};
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static_assert(sizeof(ModelOutputStopLinePrediction) == (sizeof(ModelOutputStopLineElement)*2 + sizeof(float)));
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struct ModelOutputStopLines {
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  std::array<ModelOutputStopLinePrediction, STOP_LINE_MHP_N> prediction;
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  float prob;
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  constexpr const ModelOutputStopLinePrediction &get_best_prediction(int t_idx) const {
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    int max_idx = 0;
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    for (int i = 1; i < prediction.size(); i++) {
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      if (prediction[i].prob > prediction[max_idx].prob) {
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        max_idx = i;
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      }
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    }
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    return prediction[max_idx];
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  }
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};
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static_assert(sizeof(ModelOutputStopLines) == (sizeof(ModelOutputStopLinePrediction)*STOP_LINE_MHP_N) + sizeof(float));
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struct ModelOutputPose {
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  ModelOutputXYZ velocity_mean;
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  ModelOutputXYZ rotation_mean;
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  ModelOutputXYZ velocity_std;
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  ModelOutputXYZ rotation_std;
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};
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static_assert(sizeof(ModelOutputPose) == sizeof(ModelOutputXYZ)*4);
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struct ModelOutputDisengageProb {
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  float gas_disengage;
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  float brake_disengage;
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  float steer_override;
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  float brake_3ms2;
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  float brake_4ms2;
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  float brake_5ms2;
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  float gas_pressed;
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};
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static_assert(sizeof(ModelOutputDisengageProb) == sizeof(float)*7);
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struct ModelOutputBlinkerProb {
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  float left;
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  float right;
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};
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static_assert(sizeof(ModelOutputBlinkerProb) == sizeof(float)*2);
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struct ModelOutputDesireProb {
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  union {
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    struct {
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      float none;
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      float turn_left;
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      float turn_right;
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      float lane_change_left;
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      float lane_change_right;
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      float keep_left;
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      float keep_right;
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      float null;
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    };
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    struct {
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      std::array<float, DESIRE_LEN> array;
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    };
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  };
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};
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static_assert(sizeof(ModelOutputDesireProb) == sizeof(float)*DESIRE_LEN);
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struct ModelOutputMeta {
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  ModelOutputDesireProb desire_state_prob;
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  float engaged_prob;
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  std::array<ModelOutputDisengageProb, DISENGAGE_LEN> disengage_prob;
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  std::array<ModelOutputBlinkerProb, BLINKER_LEN> blinker_prob;
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  std::array<ModelOutputDesireProb, DESIRE_PRED_LEN> desire_pred_prob;
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};
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static_assert(sizeof(ModelOutputMeta) == sizeof(ModelOutputDesireProb) + sizeof(float) + (sizeof(ModelOutputDisengageProb)*DISENGAGE_LEN) + (sizeof(ModelOutputBlinkerProb)*BLINKER_LEN) + (sizeof(ModelOutputDesireProb)*DESIRE_PRED_LEN));
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struct ModelOutput {
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  const ModelOutputPlans plans;
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  const ModelOutputLaneLines lane_lines;
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  const ModelOutputRoadEdges road_edges;
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  const ModelOutputLeads leads;
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  const ModelOutputStopLines stop_lines;
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  const ModelOutputMeta meta;
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  const ModelOutputPose pose;
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};
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constexpr int OUTPUT_SIZE = sizeof(ModelOutput) / sizeof(float);
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#ifdef TEMPORAL
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  constexpr int TEMPORAL_SIZE = 512;
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#else
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  constexpr int TEMPORAL_SIZE = 0;
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#endif
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constexpr int NET_OUTPUT_SIZE = OUTPUT_SIZE + TEMPORAL_SIZE;
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// TODO: convert remaining arrays to std::array and update model runners
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struct ModelState {
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  ModelFrame *frame;
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  ModelFrame *wide_frame;
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  std::array<float, NET_OUTPUT_SIZE> output = {};
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  std::unique_ptr<RunModel> m;
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#ifdef DESIRE
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  float prev_desire[DESIRE_LEN] = {};
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  float pulse_desire[DESIRE_LEN] = {};
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#endif
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#ifdef TRAFFIC_CONVENTION
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  float traffic_convention[TRAFFIC_CONVENTION_LEN] = {};
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#endif
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};
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void model_init(ModelState* s, cl_device_id device_id, cl_context context);
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ModelOutput *model_eval_frame(ModelState* s, VisionBuf* buf, VisionBuf* buf_wide,
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                              const mat3 &transform, const mat3 &transform_wide, float *desire_in, bool is_rhd, bool prepare_only);
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void model_free(ModelState* s);
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void model_publish(PubMaster &pm, uint32_t vipc_frame_id, uint32_t vipc_frame_id_extra, uint32_t frame_id, float frame_drop,
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                   const ModelOutput &net_outputs, uint64_t timestamp_eof,
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                   float model_execution_time, kj::ArrayPtr<const float> raw_pred, const bool valid);
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void posenet_publish(PubMaster &pm, uint32_t vipc_frame_id, uint32_t vipc_dropped_frames,
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                     const ModelOutput &net_outputs, uint64_t timestamp_eof, const bool valid);
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