public void toggleShowMeasurements() {
if (showMeasurements.isSelected()) {
measurements.setStructures(currentNucId, currentStructureIdx);
measurements.setObjects(list.getSelectedValues());
this.container.add(measurements);
} else this.container.remove(measurements);
core.refreshDisplay();
}
public void hide(boolean refresh) {
container.remove(layout);
if (showMeasurements.isSelected()) {
container.remove(measurements);
showMeasurements.setSelected(false);
}
if (refresh) core.refreshDisplay();
}
private void setSortKeys() {
if (currentChannels != null && currentChannels.length == 1) {
MeasurementKey mkey =
new MeasurementKey(new int[] {currentChannels[0].getIdx()}, MeasurementObject.Number);
System.out.println("Query:" + mkey.toString());
((ObjectManagerLayout) layout).setKeys(Core.getExperiment().getKeys().get(mkey));
} else {
((ObjectManagerLayout) layout).unableSortKeys();
}
}
public void startThreads() {
directTransferThread.start();
persistentQueue.startThreads();
final TimerTask task =
new TimerTask() {
@Override
public void run() {
maybeStartRequests();
}
};
Core.schedule(task, 3000, 3000);
}
public void templateMatching() {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
int match_method = 5;
int max_Trackbar = 5;
Mat data = Highgui.imread("images/training_data/1" + "/data (" + 1 + ").jpg");
Mat temp = Highgui.imread("images/template.jpg");
Mat img = data.clone();
int result_cols = img.cols() - temp.cols() + 1;
int result_rows = img.rows() - temp.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
Imgproc.matchTemplate(img, temp, result, match_method);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
double minVal;
double maxVal;
Point minLoc;
Point maxLoc;
Point matchLoc;
// minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
Core.MinMaxLocResult res = Core.minMaxLoc(result);
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = res.minLoc;
} else {
matchLoc = res.maxLoc;
}
// / Show me what you got
Core.rectangle(
img,
matchLoc,
new Point(matchLoc.x + temp.cols(), matchLoc.y + temp.rows()),
new Scalar(0, 255, 0));
// Save the visualized detection.
Highgui.imwrite("images/samp.jpg", img);
}
@Subroutine("read-from-string")
public static LispList readFromString(
LispString string,
@Optional @Nullable LispObject start,
@Optional @Nullable LispObject finish) {
int begin = getInt(start, 0);
int end = getInt(finish, string.size());
try {
String code = string.getData().substring(begin, end);
ForwardParser forwardParser = new ForwardParser();
LispObject read = Core.thisOrNil(forwardParser.parseLine(code));
return LispList.cons(read, new LispInteger(begin + forwardParser.getCurrentIndex()));
} catch (StringIndexOutOfBoundsException e) {
throw new ArgumentOutOfRange(string, begin, end);
}
}
public static Mat getCCH(Mat image) {
ArrayList<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat();
Imgproc.findContours(
image, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE);
Mat chainHistogram = Mat.zeros(1, 8, CvType.CV_32F);
int n = 0;
MatOfPoint2f approxCurve = new MatOfPoint2f();
for (MatOfPoint contour : contours) {
// get the freeman chain code from the contours
int rows = contour.rows();
// System.out.println("\nrows"+rows+"\n"+contour.dump());
int direction = 7;
Mat prevPoint = contours.get(0).row(0);
n += rows - 1;
for (int i = 1; i < rows; i++) {
// get the current point
double x1 = contour.get(i - 1, 0)[1];
double y1 = contour.get(i - 1, 0)[0];
// get the second point
double x2 = contour.get(i, 0)[1];
double y2 = contour.get(i, 0)[0];
if (x2 == x1 && y2 == y1 + 1) direction = 0;
else if (x2 == x1 - 1 && y2 == y1 + 1) direction = 1;
else if (x2 == x1 - 1 && y2 == y1) direction = 2;
else if (x2 == x1 - 1 && y2 == y1 - 1) direction = 3;
else if (x2 == x1 && y2 == y1 - 1) direction = 4;
else if (x2 == x1 + 1 && y2 == y1 - 1) direction = 5;
else if (x2 == x1 + 1 && y2 == y1) direction = 6;
else if (x2 == x1 + 1 && y2 == y1 + 1) direction = 7;
else System.out.print("err");
double counter = chainHistogram.get(0, direction)[0];
chainHistogram.put(0, direction, ++counter);
System.out.print(direction);
}
}
System.out.println("\n" + chainHistogram.dump());
Scalar alpha = new Scalar(n); // the factor
Core.divide(chainHistogram, alpha, chainHistogram);
System.out.println("\nrows=" + n + " " + chainHistogram.dump());
return chainHistogram;
}
private void sort(String key, Object3DGui[] objectsGui, int structureIdx) {
Object3DGui.setAscendingOrger(((ObjectManagerLayout) layout).getAscendingOrder());
HashMap<Integer, BasicDBObject> objects =
Core.getExperiment().getConnector().getObjects(currentNucId, structureIdx);
boolean notFound = false;
for (Object3DGui o : objectsGui) {
BasicDBObject dbo = objects.get(o.getLabel());
if (dbo != null) {
if (dbo.containsField(key)) o.setValue(dbo.getDouble(key));
else {
o.setValue(-1);
notFound = true;
}
}
}
if (notFound)
ij.IJ.log("Warning measurement: " + key + " not found for one or several objects");
Arrays.sort(objectsGui);
}
public void rejudgeProblem(String problemID) {
SubmissionManager submissionManager = new SubmissionManager();
for (Map<String, String> ent : submissionManager.rejudge(problemID)) {
try {
ProblemManager problemManager = new ProblemManager();
Map<String, String> pb = problemManager.getProblemById(problemID);
JSONObject msg = new JSONObject();
msg.put("msg_type", "submit");
msg.put("submission_id", ent.get("submission_id"));
msg.put("problem_id", ent.get("problem_id"));
msg.put("language", ent.get("language"));
msg.put("source_code", ent.get("source_code"));
msg.put("time_stamp", ent.get("submission_time_stamp"));
msg.put("testdata_time_stamp", pb.get("time_stamp"));
Core.getInstance().getScheduler().add(msg);
} catch (JSONException e) {
e.printStackTrace();
}
}
}
@Subroutine("current-message")
public static LispObject currentMessage() {
return Core.thisOrNil(myCurrentMessage);
}
/**
* Determines where captured pieces are
*
* @param in Mat image of the board
*/
public void findCaptured(Mat in) {
int vsegment = in.rows() / 8; // only accounts 8 playable
int hsegment = in.cols() / 12; // 8 playable, 2 capture, 2 extra
int offset; // offset for playable board
int capSquares = 12; // number of capture squares
int rowNum = 1; // starting row number for capture squares
int rightdx = 48;
int leftdx = 0;
offset = hsegment;
int count = 0;
// keep track of captured squares
// left: end user, right: system
for (int i = 0; i < capSquares; i++) {
// find where roi should be
Point p1 =
new Point(
offset + count * hsegment, rowNum * vsegment); // top left point of rectangle (x,y)
Point p2 =
new Point(
offset + (count + 1) * hsegment,
(rowNum + 1) * vsegment); // bottom right point of rectangle (x,y)
// create rectangle that is board square
Rect bound = new Rect(p1, p2);
char color;
// frame only includes rectangle
Mat roi = new Mat(in, bound);
// get the color
color = identifyColor(roi);
switch (color) {
case COLOR_BLUE:
// Imgproc.rectangle(in, p1, p2, new Scalar(255, 0, 0), 3);
Core.rectangle(in, p1, p2, new Scalar(255, 0, 0), 2);
captured[i] = 1;
break;
case COLOR_ORANGE:
// Imgproc.rectangle(in, p1, p2, new Scalar(0, 128, 255), 3);
Core.rectangle(in, p1, p2, new Scalar(0, 128, 255), 2);
captured[i] = 1;
break;
case COLOR_WHITE:
// Imgproc.rectangle(in, p1, p2, new Scalar(255, 255, 255), 3);
Core.rectangle(in, p1, p2, new Scalar(255, 255, 255), 2);
captured[i] = 0;
break;
case COLOR_BLACK:
// Imgproc.rectangle(in, p1, p2, new Scalar(0, 0, 0), 3);
Core.rectangle(in, p1, p2, new Scalar(255, 255, 255), 2);
captured[i] = 0;
break;
}
count++;
if (count == 1) {
offset = hsegment * 10 - rightdx;
} else if (count == 2) {
count = 0;
rightdx -= 6;
leftdx += 6;
offset = hsegment - leftdx;
rowNum++;
}
}
}
/**
* Identifies the color in the frame
*
* @param in the Mat image in the region of interest
* @return the color
*/
public char identifyColor(Mat in) {
// Mat blue = new Mat(in.rows(), in.cols(), CvType.CV_8UC1);
// Mat green = new Mat(in.rows(), in.cols(), CvType.CV_8UC1);
// Mat red = new Mat(in.rows(), in.cols(), CvType.CV_8UC1);
// split the channels of the image
Mat blue = new Mat(); // default is CV_8UC3
Mat green = new Mat();
Mat red = new Mat();
List<Mat> channels = new ArrayList<Mat>(3);
Core.split(in, channels);
blue = channels.get(0); // makes all 3 CV_8UC1
green = channels.get(1);
red = channels.get(2);
// System.out.println(blue.toString());
// add the intensities
Mat intensity = new Mat(in.rows(), in.cols(), CvType.CV_32F);
// Mat mask = new Mat();
Core.add(blue, green, intensity); // , mask, CvType.CV_32F);
Core.add(intensity, red, intensity); // , mask, CvType.CV_32F);
// not sure if correct from here to ...
Mat inten = new Mat();
Core.divide(intensity, Scalar.all(3.0), inten);
// System.out.println(intensity.toString());
// Core.divide(3.0, intensity, inten);
// if intensity = intensity / 3.0; means element-wise division
// use intensity.muls(Mat m)
// so make new Mat m of same size that has each element of 1/3
/*
* or
* About per-element division you can use Core.divide()
Core.divide(A,Scalar.all(d), B);
It's equivalent to B=A/d
*/
// find normalized values
Mat bnorm = new Mat();
Mat gnorm = new Mat();
Mat rnorm = new Mat();
// blue.convertTo(blue, CvType.CV_32F);
// green.convertTo(green, CvType.CV_32F);
// red.convertTo(red, CvType.CV_32F);
Core.divide(blue, inten, bnorm);
Core.divide(green, inten, gnorm);
Core.divide(red, inten, rnorm);
// find average norm values
Scalar val = new Scalar(0);
val = Core.mean(bnorm);
String value[] = val.toString().split(",");
String s = value[0].substring(1);
double bavg = Double.parseDouble(s);
val = Core.mean(gnorm);
String value1[] = val.toString().split(",");
String s1 = value1[0].substring(1);
double gavg = Double.parseDouble(s1);
val = Core.mean(rnorm);
String value2[] = val.toString().split(",");
String s2 = value2[0].substring(1);
double ravg = Double.parseDouble(s2);
// ... here
// original values
/*
// define the reference color values
//double RED[] = {0.4, 0.5, 1.8};
//double GREEN[] = {1.0, 1.2, 1.0};
double BLUE[] = {1.75, 1.0, 0.5};
//double YELLOW[] = {0.82, 1.7, 1.7};
double ORANGE[] = {0.2, 1.0, 2.0};
double WHITE[] = {2.0, 1.7, 1.7};
//double BLACK[] = {0.0, 0.3, 0.3};
*/
// define the reference color values
// double RED[] = {0.4, 0.5, 1.8};
// double GREEN[] = {1.0, 1.2, 1.0};
double BLUE[] = {1.75, 1.0, 0.5};
// double YELLOW[] = {0.82, 1.7, 1.7};
double ORANGE[] = {0.2, 1.0, 2.0};
double WHITE[] = {2.0, 1.7, 1.7};
// double BLACK[] = {0.0, 0.3, 0.3};
// compute the square error relative to the reference color values
// double minError = 3.0;
double minError = 2.0;
double errorSqr;
char bestFit = 'x';
// test++;
// System.out.print("\n\n" + test + "\n\n");
// check BLUE fitness
errorSqr = normSqr(BLUE[0], BLUE[1], BLUE[2], bavg, gavg, ravg);
System.out.println("Blue: " + errorSqr);
if (errorSqr < minError) {
minError = errorSqr;
bestFit = COLOR_BLUE;
}
// check ORANGE fitness
errorSqr = normSqr(ORANGE[0], ORANGE[1], ORANGE[2], bavg, gavg, ravg);
System.out.println("Orange: " + errorSqr);
if (errorSqr < minError) {
minError = errorSqr;
bestFit = COLOR_ORANGE;
}
// check WHITE fitness
errorSqr = normSqr(WHITE[0], WHITE[1], WHITE[2], bavg, gavg, ravg);
System.out.println("White: " + errorSqr);
if (errorSqr < minError) {
minError = errorSqr;
bestFit = COLOR_WHITE;
}
// check BLACK fitness
/*errorSqr = normSqr(BLACK[0], BLACK[1], BLACK[2], bavg, gavg, ravg);
System.out.println("Black: " + errorSqr);
if(errorSqr < minError)
{
minError = errorSqr;
bestFit = COLOR_BLACK;
}*/
// return the best fit color label
return bestFit;
}
public void processWithContours(Mat in, Mat out) {
int playSquares = 32; // number of playable game board squares
// keep track of starting row square
int parity = 0; // 0 is even, 1 is odd, tied to row number
int count = 0; // row square
int rowNum = 0; // row number, starting at 0
int vsegment = in.rows() / 8; // only accounts 8 playable
int hsegment = in.cols() / 10; // 8 playable, 2 capture
int hOffset = hsegment * 2; // offset for playable board
int vOffset = vsegment + 40;
// For angle of camera
int dx = 80;
int ddx = 0;
hsegment -= 16;
int dy = 20;
vsegment -= 24;
int ddy = 0;
// Go through all playable squares
for (int i = 0; i < playSquares; i++) {
// change offset depending on the row
if (parity == 0) // playable squares start on 2nd square from left
{
if (rowNum >= 5) dx -= 3;
hOffset = hsegment * 2 + dx;
} else // playable squares start on immediate left
{
if (rowNum >= 5) dx -= 3;
hOffset = hsegment + dx;
}
if (rowNum == 0) ddy = 5;
if (rowNum == 4) if (count == 6) ddx = 10;
if (rowNum == 5) {
if (count == 0) ddx = -6;
else if (count == 2) ddx = 6;
else if (count == 4) ddx = 12;
else if (count == 6) ddx = 20;
}
if (rowNum == 6) {
if (count == 0) ddx = 0;
else if (count == 2) ddx = 16;
else if (count == 4) ddx = 32;
else if (count == 6) ddx = 40;
}
if (rowNum == 7) {
if (count == 0) ddx = 6;
else if (count == 2) ddx = 24;
else if (count == 4) ddx = 40;
else ddx = 52;
}
// find where roi should be
// System.out.println("" + vOffset);
Point p1 =
new Point(
hOffset + count * hsegment + ddx + 5,
vOffset + rowNum * vsegment - dy - 5 - ddy); // top left point of rectangle (x,y)
Point p2 =
new Point(
hOffset + (count + 1) * hsegment + ddx - 5,
vOffset
+ (rowNum + 1) * vsegment
- dy
- 5
- ddy); // bottom right point of rectangle (x,y)
// create rectangle that is board square
Rect bound = new Rect(p1, p2);
Mat roi;
char color;
if (i == 0) {
// frame only includes rectangle
roi = new Mat(in, bound);
// get the color
color = identifyColor(roi);
// copy input image to output image
in.copyTo(out);
} else {
// frame only includes rectangle
roi = new Mat(out, bound);
// get the color
color = identifyColor(roi);
}
Imgproc.cvtColor(roi, roi, Imgproc.COLOR_BGR2GRAY); // change to single color
Mat canny = new Mat();
Imgproc.Canny(roi, canny, 20, 40); // make image a canny image that is only edges; 2,4
// lower threshold values find more edges
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
Mat hierarchy = new Mat(); // holds nested contour information
Imgproc.findContours(
canny,
contours,
hierarchy,
Imgproc.RETR_LIST,
Imgproc.CHAIN_APPROX_SIMPLE); // Imgproc.RETR_LIST, TREE
System.out.println(++test + "\t" + contours.size());
if (contours.size() > 3) // or error value for color is below 1
{
switch (color) {
case COLOR_BLUE:
// Imgproc.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
Core.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
board[i] = CheckersBoard.BLACK; // end user's piece
break;
case COLOR_ORANGE:
// Imgproc.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
Core.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
board[i] = CheckersBoard.WHITE; // system's piece
break;
case COLOR_WHITE:
// Imgproc.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
Core.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
board[i] = CheckersBoard.EMPTY;
break;
case COLOR_BLACK: // this is black
// Imgproc.rectangle(out, p1, p2, new Scalar(0, 0, 0), 2);
Core.rectangle(
out,
p1,
p2,
new Scalar(0, 0, 0),
2); // maybe add 8, 0 as line type and fractional bits
board[i] = CheckersBoard.EMPTY;
break;
}
}
System.out.println("in color switch " + board[i]);
count += 2;
if (count == 8) {
parity = ++parity % 2; // change odd or even
count = 0;
rowNum++;
hsegment += 2;
dx -= 10;
dy += 10;
vsegment += 3;
ddy = 0;
}
}
}
/**
* Processes the board image
*
* @param in image captured of board
* @param out processed image of board
*/
public void processFrame(Mat in, Mat out) {
// multiple regions of interest
int playSquares = 32; // number of playable game board squares
// keep track of starting row square
int parity = 0; // 0 is even, 1 is odd, tied to row number
int count = 0; // row square
int rowNum = 0; // row number, starting at 0
int vsegment = in.rows() / 8; // only accounts 8 playable
int hsegment = in.cols() / 10; // 8 playable, 2 capture
int hOffset = hsegment * 2; // offset for playable board
int vOffset = vsegment + 40;
// For angle of camera
int dx = 80;
int ddx = 0;
hsegment -= 16;
int dy = 20;
vsegment -= 24;
// Go through all playable squares
for (int i = 0; i < playSquares; i++) {
// change offset depending on the row
if (parity == 0) // playable squares start on 2nd square from left
{
if (rowNum >= 5) dx -= 3;
hOffset = hsegment * 2 + dx;
} else // playable squares start on immediate left
{
if (rowNum >= 5) dx -= 3;
hOffset = hsegment + dx;
}
if (rowNum == 4) if (count == 6) ddx = 10;
if (rowNum == 5) {
if (count == 0) ddx = -6;
else if (count == 2) ddx = 6;
else if (count == 4) ddx = 12;
else if (count == 6) ddx = 20;
}
if (rowNum == 6) {
if (count == 0) ddx = 0;
else if (count == 2) ddx = 16;
else if (count == 4) ddx = 32;
else if (count == 6) ddx = 40;
}
if (rowNum == 7) {
if (count == 0) ddx = 0;
else if (count == 2) ddx = 24;
else if (count == 4) ddx = 40;
else ddx = 52;
}
// find where roi should be
// System.out.println("" + vOffset);
Point p1 =
new Point(
hOffset + count * hsegment + ddx,
vOffset + rowNum * vsegment - dy); // top left point of rectangle (x,y)
Point p2 =
new Point(
hOffset + (count + 1) * hsegment + ddx,
vOffset + (rowNum + 1) * vsegment - dy); // bottom right point of rectangle (x,y)
// create rectangle that is board square
Rect bound = new Rect(p1, p2);
char color;
if (i == 0) {
// frame only includes rectangle
Mat roi = new Mat(in, bound);
// get the color
color = identifyColor(roi);
// copy input image to output image
in.copyTo(out);
} else {
// frame only includes rectangle
Mat roi = new Mat(out, bound);
// get the color
color = identifyColor(roi);
}
// annotate the output image
// scalar values as (blue, green, red)
switch (color) {
case COLOR_BLUE:
// Imgproc.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
Core.rectangle(out, p1, p2, new Scalar(255, 0, 0), 2);
board[i] = CheckersBoard.BLACK; // end user's piece
break;
case COLOR_ORANGE:
// Imgproc.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
Core.rectangle(out, p1, p2, new Scalar(0, 128, 255), 2);
board[i] = CheckersBoard.WHITE; // system's piece
break;
case COLOR_WHITE:
// Imgproc.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
Core.rectangle(out, p1, p2, new Scalar(255, 255, 255), 2);
board[i] = CheckersBoard.EMPTY;
break;
case COLOR_BLACK: // this is black
// Imgproc.rectangle(out, p1, p2, new Scalar(0, 0, 0), 2);
Core.rectangle(
out,
p1,
p2,
new Scalar(0, 0, 0),
2); // maybe add 8, 0 as line type and fractional bits
board[i] = CheckersBoard.EMPTY;
break;
}
count += 2;
if (count == 8) {
parity = ++parity % 2; // change odd or even
count = 0;
rowNum++;
hsegment += 2;
dx -= 10;
dy += 10;
vsegment += 3;
}
}
}
public void show(boolean refresh) {
container.add(layout);
if (refresh) core.refreshDisplay();
}
public static void run(
SIRStream str,
JInterfaceDeclaration[] interfaces,
SIRInterfaceTable[] interfaceTables,
SIRStructure[] structs,
SIRHelper[] helpers,
SIRGlobal global) {
System.out.println("Entry to SMP Backend...");
checkArguments();
setScheduler();
if (KjcOptions.smp > 16) {
setupLargeConfig();
}
// create cores in desired amount and order
int[] cores = new int[KjcOptions.smp];
for (int x = 0; x < KjcOptions.smp; x++) cores[x] = coreOrder[x];
chip = new SMPMachine(cores);
// create a new structs.h file for typedefs etc.
structs_h = new Structs_h(structs);
// The usual optimizations and transformation to slice graph
CommonPasses commonPasses = new CommonPasses();
// perform standard optimizations, use the number of cores the user wants to target
commonPasses.run(str, interfaces, interfaceTables, structs, helpers, global, chip.size());
// perform some standard cleanup on the slice graph.
commonPasses.simplifySlices();
// dump slice graph to dot file
commonPasses.getSlicer().dumpGraph("traces.dot", null);
// partition the slice graph based on the scheduling policy
SpaceTimeScheduleAndSlicer graphSchedule =
new SpaceTimeScheduleAndSlicer(commonPasses.getSlicer());
scheduler.setGraphSchedule(graphSchedule);
scheduler.run(chip.size());
FilterInfo.reset();
// generate schedules for initialization, primepump and steady-state
scheduleSlices(graphSchedule);
// generate layout for filters
scheduler.runLayout();
// dump final slice graph to dot file
graphSchedule.getSlicer().dumpGraph("after_slice_partition.dot", scheduler);
graphSchedule.getSlicer().dumpGraph("slice_graph.dot", scheduler, false);
// if load balancing, find candidiate fission groups to load balance
if (KjcOptions.loadbalance) {
LoadBalancer.findCandidates();
LoadBalancer.instrumentMainMethods();
}
// create all buffers and set the rotation lengths
RotatingBuffer.createBuffers(graphSchedule);
// now convert to Kopi code plus communication commands
backEndBits = new SMPBackEndFactory(chip, scheduler);
backEndBits.getBackEndMain().run(graphSchedule, backEndBits);
// generate code for file writer
CoreCodeStore.generatePrintOutputCode();
if (KjcOptions.numbers > 0) chip.getNthComputeNode(0).getComputeCode().generateNumbersCode();
// emit c code for all cores
EmitSMPCode.doit(backEndBits);
// dump structs.h file
structs_h.writeToFile();
// display final assignment of filters to cores
System.out.println("Final filter assignments:");
System.out.println("========================================");
for (int x = 0; x < KjcOptions.smp; x++) {
Core core = chip.getNthComputeNode(x);
Set<FilterSliceNode> filters = core.getComputeCode().getFilters();
long totalWork = 0;
System.out.println("Core " + core.getCoreID() + ": ");
for (FilterSliceNode filter : filters) {
long work = SliceWorkEstimate.getWork(filter.getParent());
System.out.format("%16d | " + filter + "\n", work);
totalWork += work;
}
System.out.format("%16d | Total\n", totalWork);
}
// calculate computation to communication ratio
if (KjcOptions.sharedbufs) {
LinkedList<Slice> slices =
DataFlowOrder.getTraversal(graphSchedule.getSlicer().getTopSlices());
HashSet<Slice> compProcessed = new HashSet<Slice>();
HashSet<Slice> commProcessed = new HashSet<Slice>();
long comp = 0;
long comm = 0;
for (Slice slice : slices) {
if (compProcessed.contains(slice)) continue;
comp += SliceWorkEstimate.getWork(slice);
compProcessed.add(slice);
}
/*
for(Slice slice : slices) {
if(commProcessed.contains(slice))
continue;
FilterInfo info = FilterInfo.getFilterInfo(slice.getFirstFilter());
int totalItemsReceived = info.totalItemsReceived(SchedulingPhase.STEADY);
if(totalItemsReceived == 0)
continue;
InputSliceNode input = slice.getHead();
Set<InterSliceEdge> sources = input.getSourceSet(SchedulingPhase.STEADY);
int numInputRots = totalItemsReceived / input.totalWeights(SchedulingPhase.STEADY);
if(!FissionGroupStore.isFizzed(slice)) {
for(InterSliceEdge source : sources) {
Slice srcSlice = source.getSrc().getParent();
// if(srcSlice.getFirstFilter().isFileInput())
// continue;
if(FissionGroupStore.isFizzed(srcSlice)) {
// Filter is not fizzed, source is fizzed
// Filter must receive (N-1)/N of inputs from different cores
comm += numInputRots *
input.getWeight(source, SchedulingPhase.STEADY) /
KjcOptions.smp * (KjcOptions.smp - 1);
}
else {
// Filter is not fizzed, source is not fizzed
// Check to see if on same core
// If not, must communicate all elements
if(!scheduler.getComputeNode(slice.getFirstFilter()).equals(
scheduler.getComputeNode(srcSlice.getFirstFilter()))) {
comm += numInputRots *
input.getWeight(source, SchedulingPhase.STEADY);
}
}
}
}
else {
for(InterSliceEdge source : sources) {
Slice srcSlice = source.getSrc().getParent();
// if(srcSlice.getFirstFilter().isFileInput())
// continue;
if(FissionGroupStore.isFizzed(srcSlice)) {
// Filter is fizzed, source is also fizzed
int totalItemsReceivedPerFizzed = totalItemsReceived /
FissionGroupStore.getFissionGroup(slice).fizzedSlices.length;
int numInputRotsPerFizzed = numInputRots /
FissionGroupStore.getFissionGroup(slice).fizzedSlices.length;
System.out.println("totalItemsReceivedPerFizzed: " + totalItemsReceivedPerFizzed);
System.out.println("numInputRotsPerFizzed: " + numInputRotsPerFizzed);
int inputWeightBeforeSrc =
input.weightBefore(source, SchedulingPhase.STEADY);
int inputWeightSrc = input.getWeight(source, SchedulingPhase.STEADY);
int inputTotalWeight = input.totalWeights(SchedulingPhase.STEADY);
System.out.println("inputWeightBeforeSrc: " + inputWeightBeforeSrc);
System.out.println("inputWeightSrc: " + inputWeightSrc);
System.out.println("copyDown: " + info.copyDown);
int numXmit = 0;
for(int rot = 0 ; rot < numInputRotsPerFizzed ; rot++) {
numXmit += Math.min(inputWeightSrc,
Math.max(0,
info.copyDown +
rot * inputTotalWeight +
inputWeightBeforeSrc + inputWeightSrc -
totalItemsReceivedPerFizzed));
}
System.out.println("numXmit: " + numXmit);
comm += KjcOptions.smp * numXmit;
}
else {
// Filter is fizzed, source is not fizzed
// Source must send (N-1)/N of outputs to different cores
comm += numInputRots *
input.getWeight(source, SchedulingPhase.STEADY) /
KjcOptions.smp * (KjcOptions.smp - 1);
}
}
}
commProcessed.add(slice);
}
*/
// Simple communication estimation
for (Slice slice : slices) {
if (commProcessed.contains(slice)) continue;
FilterInfo info = FilterInfo.getFilterInfo(slice.getFirstFilter());
int totalItemsReceived = info.totalItemsReceived(SchedulingPhase.STEADY);
if (totalItemsReceived == 0) continue;
comm += totalItemsReceived;
if (FissionGroupStore.isFizzed(slice)) {
assert info.peek >= info.pop;
comm += (info.peek - info.pop) * KjcOptions.smp;
}
commProcessed.add(slice);
}
// Simple communication estimation 2
/*
for(Slice slice : slices) {
if(commProcessed.contains(slice))
continue;
FilterInfo info = FilterInfo.getFilterInfo(slice.getFirstFilter());
int totalItemsReceived = info.totalItemsReceived(SchedulingPhase.STEADY);
int totalItemsSent = info.totalItemsSent(SchedulingPhase.STEADY);
comm += totalItemsReceived;
comm += totalItemsSent;
if(totalItemsReceived == 0)
continue;
if(FissionGroupStore.isFizzed(slice)) {
assert info.peek >= info.pop;
comm += (info.peek - info.pop) * KjcOptions.smp;
}
commProcessed.add(slice);
}
*/
System.out.println("Final Computation: " + comp);
System.out.println("Final Communication: " + comm);
System.out.println("Final Comp/Comm Ratio: " + (float) comp / (float) comm);
}
System.exit(0);
}
