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  3. android.os.Trace

Java 类android.os.Trace 实例源码

项目：FlickLauncher    文件：LauncherProvider.java    
/**
 * Overridden in tests
 */
protected synchronized void createDbIfNotExists() {
    if (mOpenHelper == null) {
        if (LauncherAppState.PROFILE_STARTUP) {
            Trace.beginSection("Opening workspace DB");
        }
        mOpenHelper = new DatabaseHelper(getContext(), mListenerHandler);

        if (RestoreDbTask.isPending(getContext())) {
            if (!RestoreDbTask.performRestore(mOpenHelper)) {
                mOpenHelper.createEmptyDB(mOpenHelper.getWritableDatabase());
            }
            // Set is pending to false irrespective of the result, so that it doesn't get
            // executed again.
            RestoreDbTask.setPending(getContext(), false);
        }

        if (LauncherAppState.PROFILE_STARTUP) {
            Trace.endSection();
        }
    }
}
项目：BlockCanaryEx    文件：ViewPerformanceSampler.java    
static void install() {
    if (!installed) {
        installed = true;
        if (isSupported()) {
            try {
                Method traceBegin = Trace.class.getDeclaredMethod("traceBegin", long.class, String.class);
                Method traceEnd = Trace.class.getDeclaredMethod("traceEnd", long.class);

                Hook.hook(traceBegin, ViewPerformanceSampler.class.getDeclaredMethod("traceBegin", long.class, String.class));
                Hook.hook(traceEnd, ViewPerformanceSampler.class.getDeclaredMethod("traceEnd", long.class));
            } catch (NoSuchMethodException e) {
                e.printStackTrace();
            }
        }
    }
}
项目：FlickLauncher    文件：Launcher.java    
/**
 * Refreshes the shortcuts shown on the workspace.
 *
 * Implementation of the method from LauncherModel.Callbacks.
 */
public void startBinding() {
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.beginSection("Starting page bind");
    }
    setWorkspaceLoading(true);

    // Clear the workspace because it's going to be rebound
    mWorkspace.clearDropTargets();
    mWorkspace.removeAllWorkspaceScreens();

    mWidgetsToAdvance.clear();
    if (mHotseat != null) {
        mHotseat.resetLayout();
    }
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.endSection();
    }
}
项目：SimpleUILauncher    文件：Launcher.java    
/**
 * Refreshes the shortcuts shown on the workspace.
 *
 * Implementation of the method from LauncherModel.Callbacks.
 */
public void startBinding() {
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.beginSection("Starting page bind");
    }
    setWorkspaceLoading(true);

    // Clear the workspace because it's going to be rebound
    mWorkspace.clearDropTargets();
    mWorkspace.removeAllWorkspaceScreens();

    mWidgetsToAdvance.clear();
    if (mHotseat != null) {
        mHotseat.resetLayout();
    }
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.endSection();
    }
}
项目：SimpleUILauncher    文件：LauncherProvider.java    
/**
 * Overridden in tests
 */
protected synchronized void createDbIfNotExists() {
    if (mOpenHelper == null) {
        if (LauncherAppState.PROFILE_STARTUP) {
            Trace.beginSection("Opening workspace DB");
        }
        mOpenHelper = new DatabaseHelper(getContext(), mListenerHandler);

        if (RestoreDbTask.isPending(getContext())) {
            if (!RestoreDbTask.performRestore(mOpenHelper)) {
                mOpenHelper.createEmptyDB(mOpenHelper.getWritableDatabase());
            }
            // Set is pending to false irrespective of the result, so that it doesn't get
            // executed again.
            RestoreDbTask.setPending(getContext(), false);
        }

        if (LauncherAppState.PROFILE_STARTUP) {
            Trace.endSection();
        }
    }
}
项目：droidddle    文件：MaterialColorMapUtils.java    
/**
 * Return primary and secondary colors from the Material color palette that are similar to
 * {@param color}.
 */
public MaterialPalette calculatePrimaryAndSecondaryColor(int color) {
    Trace.beginSection("calculatePrimaryAndSecondaryColor");
    final float colorHue = hue(color);
    float minimumDistance = Float.MAX_VALUE;
    int indexBestMatch = 0;
    for (int i = 0; i < sPrimaryColors.length(); i++) {
        final int primaryColor = sPrimaryColors.getColor(i, 0);
        final float comparedHue = hue(primaryColor);
        // No need to be perceptually accurate when calculating color distances since
        // we are only mapping to 15 colors. Being slightly inaccurate isn't going to change
        // the mapping very often.
        final float distance = Math.abs(comparedHue - colorHue);
        if (distance < minimumDistance) {
            minimumDistance = distance;
            indexBestMatch = i;
        }
    }
    Trace.endSection();
    return new MaterialPalette(sPrimaryColors.getColor(indexBestMatch, 0), sSecondaryColors.getColor(indexBestMatch, 0));
}
项目：FMTech    文件：aga.java    
public final void b(VH paramVH, int paramInt)
{
  paramVH.b = paramInt;
  if (this.b) {
    paramVH.d = b(paramInt);
  }
  paramVH.a(1, 519);
  if (Build.VERSION.SDK_INT >= 18) {
    Trace.beginSection("RV OnBindView");
  }
  if ((0x400 & paramVH.i) == 0) {
    if ((paramVH.k != null) && (paramVH.k.size() != 0)) {}
  }
  for (;;)
  {
    a(paramVH, paramInt);
    paramVH.f();
    if (Build.VERSION.SDK_INT >= 18) {
      Trace.endSection();
    }
    return;
  }
}
项目：android-perf-testing    文件：EnableLogcatDump.java    
/**
 * Extract logcat buffer to a file ater test run.
 */
public void after() {
    try {
        if (android.os.Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
            Trace.beginSection("Taking logcat");
        }
        ProcessBuilder processBuilder = new ProcessBuilder();

        processBuilder.command("logcat", "-d",
                "-f", PerfTestingUtils.getTestFile(mTestClass, mTestName, "logcat.log")
                        .getAbsolutePath());
        processBuilder.redirectErrorStream();
        Process process = processBuilder.start();
        process.waitFor();
        if (process.exitValue() != 0) {
            Log.e(LOG_TAG, "Error exit value while extracting logcat, exitValue=" +
                    process.exitValue());
        }
    } catch (Exception ignored) {
        Log.e(LOG_TAG, "Error while extracting logcat", ignored);
    } finally {
        if (android.os.Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
            Trace.endSection();
        }
    }
}
项目：snu-artoon    文件：TensorFlowInferenceInterface.java    
private void loadGraph(InputStream is, Graph g) throws IOException {
  final long startMs = System.currentTimeMillis();

  Trace.beginSection("initializeTensorFlow");

  Trace.beginSection("readGraphDef");
  // TODO(ashankar): Can we somehow mmap the contents instead of copying them?
  byte[] graphDef = new byte[is.available()];
  final int numBytesRead = is.read(graphDef);
  if (numBytesRead != graphDef.length) {
    throw new IOException(
        "read error: read only "
            + numBytesRead
            + " of the graph, expected to read "
            + graphDef.length);
  }
  Trace.endSection();

  Trace.beginSection("importGraphDef");
  try {
    g.importGraphDef(graphDef);
  } catch (IllegalArgumentException e) {
    throw new IOException("Not a valid TensorFlow Graph serialization: " + e.getMessage());
  }
  Trace.endSection();

  Trace.endSection(); // initializeTensorFlow.

  final long endMs = System.currentTimeMillis();
  Log.i(
      TAG,
      "Model load took " + (endMs - startMs) + "ms, TensorFlow version: " + TensorFlow.version());
}
项目：TensorflowAndroidDemo    文件：TensorFlowInferenceInterface.java    
private void loadGraph(InputStream is, Graph g) throws IOException {
  final long startMs = System.currentTimeMillis();

  Trace.beginSection("initializeTensorFlow");

  Trace.beginSection("readGraphDef");
  // TODO(ashankar): Can we somehow mmap the contents instead of copying them?
  byte[] graphDef = new byte[is.available()];
  final int numBytesRead = is.read(graphDef);
  if (numBytesRead != graphDef.length) {
    throw new IOException(
        "read error: read only "
            + numBytesRead
            + " of the graph, expected to read "
            + graphDef.length);
  }
  Trace.endSection();

  Trace.beginSection("importGraphDef");
  try {
    g.importGraphDef(graphDef);
  } catch (IllegalArgumentException e) {
    throw new IOException("Not a valid TensorFlow Graph serialization: " + e.getMessage());
  }
  Trace.endSection();

  Trace.endSection(); // initializeTensorFlow.

  final long endMs = System.currentTimeMillis();
  Log.i(
      TAG,
      "Model load took " + (endMs - startMs) + "ms, TensorFlow version: " + TensorFlow.version());
}
项目：realtime-stopwatch    文件：MainActivity.java    
@Override
public void run() {
    Trace.beginSection("UPDATE");
    mTextView.setText(String.valueOf(System.currentTimeMillis() - mStartTime));
    mTextView.post(mUpdateTextView);
    Trace.endSection();
}
项目：Virtualview-Android    文件：ViewBase.java    
final public void setVData(Object data, boolean isAppend) {
    if (VERSION.SDK_INT >= 18) {
        Trace.beginSection("ViewBase.setVData");
    }
    mViewCache.setComponentData(data);
    if (data instanceof JSONObject) {
        boolean invalidate = false;
        if (((JSONObject)data).optBoolean(FLAG_INVALIDATE)) {
            invalidate = true;
        }
        List<ViewBase> cacheView = mViewCache.getCacheView();
        if (cacheView != null) {
            for (int i = 0, size = cacheView.size(); i < size; i++) {
                ViewBase viewBase = cacheView.get(i);
                List<Item> items = mViewCache.getCacheItem(viewBase);
                if (null != items) {
                    for(int j = 0, length = items.size(); j < length; j++) {
                        Item item = items.get(j);
                        if (invalidate) {
                            item.invalidate(data.hashCode());
                        }
                        item.bind(data, isAppend);
                    }
                    viewBase.onParseValueFinished();
                    if (!viewBase.isRoot() && viewBase.supportExposure()) {
                        mContext.getEventManager().emitEvent(EventManager.TYPE_Exposure,
                            EventData
                                .obtainData(mContext, viewBase));
                    }

                }
            }
        }
        ((JSONObject)data).remove(FLAG_INVALIDATE);
    }
    if (VERSION.SDK_INT >= 18) {
        Trace.endSection();
    }
}
项目：grafika    文件：MultiSurfaceActivity.java    
/**
 * Clears the surface, then draws a filled circle with a shadow.
 * <p>
 * Similar to drawCircleSurface(), but the position changes based on the value of "i".
 */
private void drawBouncingCircle(Surface surface, int i) {
    Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);
    paint.setColor(Color.WHITE);
    paint.setStyle(Paint.Style.FILL);

    Canvas canvas = surface.lockCanvas(null);
    try {
        Trace.beginSection("drawBouncingCircle");
        Trace.beginSection("drawColor");
        canvas.drawColor(Color.TRANSPARENT, PorterDuff.Mode.CLEAR);
        Trace.endSection(); // drawColor

        int width = canvas.getWidth();
        int height = canvas.getHeight();
        int radius, x, y;
        if (width < height) {
            // portrait
            radius = width / 4;
            x = width / 4 + ((width / 2 * i) / BOUNCE_STEPS);
            y = height * 3 / 4;
        } else {
            // landscape
            radius = height / 4;
            x = width * 3 / 4;
            y = height / 4 + ((height / 2 * i) / BOUNCE_STEPS);
        }

        paint.setShadowLayer(radius / 4 + 1, 0, 0, Color.RED);

        canvas.drawCircle(x, y, radius, paint);
        Trace.endSection(); // drawBouncingCircle
    } finally {
        surface.unlockCanvasAndPost(canvas);
    }
}
项目：tensorflow-on-android    文件：TensorFlowTrainingInterface.java    
private void loadGraph(InputStream is, Graph g) throws IOException {
  final long startMs = System.currentTimeMillis();

  Trace.beginSection("initializeTensorFlow");

  Trace.beginSection("readGraphDef");
  // TODO(ashankar): Can we somehow mmap the contents instead of copying them?
  byte[] graphDef = new byte[is.available()];
  final int numBytesRead = is.read(graphDef);
  if (numBytesRead != graphDef.length) {
    throw new IOException(
        "read error: read only "
            + numBytesRead
            + " of the graph, expected to read "
            + graphDef.length);
  }
  Trace.endSection();

  Trace.beginSection("importGraphDef");
  try {
    g.importGraphDef(graphDef);
  } catch (IllegalArgumentException e) {
    throw new IOException("Not a valid TensorFlow Graph serialization: " + e.getMessage());
  }
  Trace.endSection();

  Trace.endSection(); // initializeTensorFlow.

  final long endMs = System.currentTimeMillis();
  Log.i(
      TAG,
      "Model load took " + (endMs - startMs) + "ms, TensorFlow version: " + TensorFlow.version());
}
项目：android-image-classification    文件：ImageNetClassifier.java    
public Classification[] classifyImage(Bitmap bitmap) {
    Trace.beginSection("create Image Buffer");
    ByteBuffer byteBuffer = ByteBuffer.allocate(bitmap.getByteCount());
    bitmap.copyPixelsToBuffer(byteBuffer);
    byte[] bytes = byteBuffer.array();
    Trace.endSection();

    Trace.beginSection("color adaption");
    float[] colors;
    if (modelNeedsMeanAdjust) {
        colors = subtractMean(bytes);
    } else {
        colors = extractRGBData(bytes);
    }
    Trace.endSection();
    Trace.beginSection("Model execution");

    final long startTime = SystemClock.uptimeMillis();
    mPredictor.forward("data", colors);
    mActivity.setLasProcessingTimeMs(SystemClock.uptimeMillis() - startTime);

    final float[] result = mPredictor.getOutput(0);
    Trace.endSection();

    Trace.beginSection("gather top results");
    Classification[] results = getTopKresults(result, 5);
    Trace.endSection();

    mActivity.requestRender();
    return results;
}
项目：FlickLauncher    文件：Launcher.java    
/**
 * Callback saying that there aren't any more items to bind.
 *
 * Implementation of the method from LauncherModel.Callbacks.
 */
public void finishBindingItems() {
    Runnable r = new Runnable() {
        public void run() {
            finishBindingItems();
        }
    };
    if (waitUntilResume(r)) {
        return;
    }
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.beginSection("Page bind completed");
    }
    if (mSavedState != null) {
        if (!mWorkspace.hasFocus()) {
            mWorkspace.getChildAt(mWorkspace.getCurrentPage()).requestFocus();
        }

        mSavedState = null;
    }

    mWorkspace.restoreInstanceStateForRemainingPages();

    setWorkspaceLoading(false);

    if (mPendingActivityResult != null) {
        handleActivityResult(mPendingActivityResult.requestCode,
                mPendingActivityResult.resultCode, mPendingActivityResult.data);
        mPendingActivityResult = null;
    }

    InstallShortcutReceiver.disableAndFlushInstallQueue(this);

    if (mLauncherCallbacks != null) {
        mLauncherCallbacks.finishBindingItems(false);
    }
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.endSection();
    }
}
项目：SimpleUILauncher    文件：Launcher.java    
/**
 * Callback saying that there aren't any more items to bind.
 *
 * Implementation of the method from LauncherModel.Callbacks.
 */
public void finishBindingItems() {
    Runnable r = new Runnable() {
        public void run() {
            finishBindingItems();
        }
    };
    if (waitUntilResume(r)) {
        return;
    }
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.beginSection("Page bind completed");
    }
    if (mSavedState != null) {
        if (!mWorkspace.hasFocus()) {
            mWorkspace.getChildAt(mWorkspace.getCurrentPage()).requestFocus();
        }

        mSavedState = null;
    }

    mWorkspace.restoreInstanceStateForRemainingPages();

    setWorkspaceLoading(false);

    if (mPendingActivityResult != null) {
        handleActivityResult(mPendingActivityResult.requestCode,
                mPendingActivityResult.resultCode, mPendingActivityResult.data);
        mPendingActivityResult = null;
    }

    InstallShortcutReceiver.disableAndFlushInstallQueue(this);

    if (mLauncherCallbacks != null) {
        mLauncherCallbacks.finishBindingItems(false);
    }
    if (LauncherAppState.PROFILE_STARTUP) {
        Trace.endSection();
    }
}
项目：mediacodec    文件：MultiSurfaceActivity.java    
/**
 * Clears the surface, then draws a filled circle with a shadow.
 * <p>
 * Similar to drawCircleSurface(), but the position changes based on the value of "i".
 */
private void drawBouncingCircle(Surface surface, int i) {
    Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);
    paint.setColor(Color.WHITE);
    paint.setStyle(Paint.Style.FILL);

    Canvas canvas = surface.lockCanvas(null);
    try {
        Trace.beginSection("drawBouncingCircle");
        Trace.beginSection("drawColor");
        canvas.drawColor(Color.TRANSPARENT, PorterDuff.Mode.CLEAR);
        Trace.endSection(); // drawColor

        int width = canvas.getWidth();
        int height = canvas.getHeight();
        int radius, x, y;
        if (width < height) {
            // portrait
            radius = width / 4;
            x = width / 4 + ((width / 2 * i) / BOUNCE_STEPS);
            y = height * 3 / 4;
        } else {
            // landscape
            radius = height / 4;
            x = width * 3 / 4;
            y = height / 4 + ((height / 2 * i) / BOUNCE_STEPS);
        }

        paint.setShadowLayer(radius / 4 + 1, 0, 0, Color.RED);

        canvas.drawCircle(x, y, radius, paint);
        Trace.endSection(); // drawBouncingCircle
    } finally {
        surface.unlockCanvasAndPost(canvas);
    }
}
项目：Paideia    文件：TensorflowClassifier.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
  // Log this method so that it can be analyzed with systrace.
  Trace.beginSection("Recognize");
  final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
  for (final String result : classifyImageBmp(bitmap).split("\n")) {
    Log.i(TAG, "Parsing [" + result + "]");

    // Clean up the string as needed
    final StringTokenizer st = new StringTokenizer(result);
    if (!st.hasMoreTokens()) {
      continue;
    }

    final String id = st.nextToken();
    final String confidenceString = st.nextToken();
    final float confidence = Float.parseFloat(confidenceString);

    final String title =
        result.substring(id.length() + confidenceString.length() + 2, result.length());

    if (!title.isEmpty()) {
      recognitions.add(new Recognition(id, title, confidence, null));
    }
  }
  Trace.endSection();
  return recognitions;
}
项目：DialogUtil    文件：TestTool.java    
/**
 * 仅用于SysTrace开启tag,不是用于控制SysTrace的开启,你也控制不了
 * 一定要配合命令行-a 使用,否则自定义tag无效
 * 需要debug包
 * Trace的begin与end必须在同一线程之中执行
 * @param tag
 */
public static void startSysTraceSection(String tag){
    if(DEBUG){
        if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
            Trace.beginSection(tag);
        }
    }

}
项目：DialogUtil    文件：TestTool.java    
public static void stopSysTraceSection(){
    if(DEBUG){
        if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
            Trace.endSection();
        }
    }

}
项目：pause-resume-video-recording    文件：MultiSurfaceActivity.java    
/**
 * Clears the surface, then draws a filled circle with a shadow.
 * <p>
 * Similar to drawCircleSurface(), but the position changes based on the value of "i".
 */
private void drawBouncingCircle(Surface surface, int i) {
    Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);
    paint.setColor(Color.WHITE);
    paint.setStyle(Paint.Style.FILL);

    Canvas canvas = surface.lockCanvas(null);
    try {
        Trace.beginSection("drawBouncingCircle");
        Trace.beginSection("drawColor");
        canvas.drawColor(Color.TRANSPARENT, PorterDuff.Mode.CLEAR);
        Trace.endSection(); // drawColor

        int width = canvas.getWidth();
        int height = canvas.getHeight();
        int radius, x, y;
        if (width < height) {
            // portrait
            radius = width / 4;
            x = width / 4 + ((width / 2 * i) / BOUNCE_STEPS);
            y = height * 3 / 4;
        } else {
            // landscape
            radius = height / 4;
            x = width * 3 / 4;
            y = height / 4 + ((height / 2 * i) / BOUNCE_STEPS);
        }

        paint.setShadowLayer(radius / 4 + 1, 0, 0, Color.RED);

        canvas.drawCircle(x, y, radius, paint);
        Trace.endSection(); // drawBouncingCircle
    } finally {
        surface.unlockCanvasAndPost(canvas);
    }
}
项目：FMTech    文件：RecyclerView.java    
protected void onLayout(boolean paramBoolean, int paramInt1, int paramInt2, int paramInt3, int paramInt4)
{
  a();
  if (Build.VERSION.SDK_INT >= 18) {
    Trace.beginSection("RV OnLayout");
  }
  i();
  if (Build.VERSION.SDK_INT >= 18) {
    Trace.endSection();
  }
  a(false);
  this.l = true;
}
项目：HardwareEncodingTest    文件：MultiSurfaceActivity.java    
/**
 * Clears the surface, then draws a filled circle with a shadow.
 * <p>
 * Similar to drawCircleSurface(), but the position changes based on the value of "i".
 */
private void drawBouncingCircle(Surface surface, int i) {
    Paint paint = new Paint(Paint.ANTI_ALIAS_FLAG);
    paint.setColor(Color.WHITE);
    paint.setStyle(Paint.Style.FILL);

    Canvas canvas = surface.lockCanvas(null);
    try {
        Trace.beginSection("drawBouncingCircle");
        Trace.beginSection("drawColor");
        canvas.drawColor(Color.TRANSPARENT, PorterDuff.Mode.CLEAR);
        Trace.endSection(); // drawColor

        int width = canvas.getWidth();
        int height = canvas.getHeight();
        int radius, x, y;
        if (width < height) {
            // portrait
            radius = width / 4;
            x = width / 4 + ((width / 2 * i) / BOUNCE_STEPS);
            y = height * 3 / 4;
        } else {
            // landscape
            radius = height / 4;
            x = width * 3 / 4;
            y = height / 4 + ((height / 2 * i) / BOUNCE_STEPS);
        }

        paint.setShadowLayer(radius / 4 + 1, 0, 0, Color.RED);

        canvas.drawCircle(x, y, radius, paint);
        Trace.endSection(); // drawBouncingCircle
    } finally {
        surface.unlockCanvasAndPost(canvas);
    }
}
项目：PerchBroadcast-Android-SDK    文件：FFmpegMuxer.java    
@Override
public void handleMessage(Message inputMessage) {
    int    what = inputMessage.what;
    Object obj  = inputMessage.obj;

    FFmpegMuxer muxer = mWeakMuxer.get();
    if (muxer == null) {
        Log.w(TAG, "FFmpegHandler.handleMessage: muxer is null");
        return;
    }

    switch (what) {
        case MSG_ADD_TRACK:
            if (TRACE) Trace.beginSection("addTrack");
            muxer.handleAddTrack((MediaFormat) obj);
            if (TRACE) Trace.endSection();
            break;
        case MSG_WRITE_FRAME:
            if (TRACE) Trace.beginSection("writeSampleData");
            WritePacketData data = (WritePacketData) obj;
            muxer.handleWriteSampleData(data.mEncoder,
                    data.mTrackIndex,
                    data.mBufferIndex,
                    data.mData,
                    data.getBufferInfo());
            if (TRACE) Trace.endSection();
            break;
        case MSG_FORCE_SHUTDOWN:
            muxer.handleForceStop();
            break;

        default:
            throw new RuntimeException("Unexpected msg what=" + what);
    }
}
项目：droidel    文件：AbstractThreadedSyncAdapter.java    
@Override
public void run() {
    Process.setThreadPriority(Process.THREAD_PRIORITY_BACKGROUND);

    // Trace this sync instance.  Note, conceptually this should be in
    // SyncStorageEngine.insertStartSyncEvent(), but the trace functions require unique
    // threads in order to track overlapping operations, so we'll do it here for now.
    Trace.traceBegin(Trace.TRACE_TAG_SYNC_MANAGER, mAuthority);

    SyncResult syncResult = new SyncResult();
    ContentProviderClient provider = null;
    try {
        if (isCanceled()) {
            return;
        }
        provider = mContext.getContentResolver().acquireContentProviderClient(mAuthority);
        if (provider != null) {
            AbstractThreadedSyncAdapter.this.onPerformSync(mAccount, mExtras,
                    mAuthority, provider, syncResult);
        } else {
            syncResult.databaseError = true;
        }
    } finally {
        Trace.traceEnd(Trace.TRACE_TAG_SYNC_MANAGER);

        if (provider != null) {
            provider.release();
        }
        if (!isCanceled()) {
            mSyncContext.onFinished(syncResult);
        }
        // synchronize so that the assignment will be seen by other threads
        // that also synchronize accesses to mSyncThreads
        synchronized (mSyncThreadLock) {
            mSyncThreads.remove(mThreadsKey);
        }
    }
}
项目：kickflip-android-sdk    文件：FFmpegMuxer.java    
@Override
public void handleMessage(Message inputMessage) {
    int what = inputMessage.what;
    Object obj = inputMessage.obj;

    FFmpegMuxer muxer = mWeakMuxer.get();
    if (muxer == null) {
        Log.w(TAG, "FFmpegHandler.handleMessage: muxer is null");
        return;
    }

    switch (what) {
        case MSG_ADD_TRACK:
            if (TRACE) Trace.beginSection("addTrack");
            muxer.handleAddTrack((MediaFormat) obj);
            if (TRACE) Trace.endSection();
            break;
        case MSG_WRITE_FRAME:
            if (TRACE) Trace.beginSection("writeSampleData");
            WritePacketData data = (WritePacketData) obj;
            muxer.handleWriteSampleData(data.mEncoder,
                    data.mTrackIndex,
                    data.mBufferIndex,
                    data.mData,
                    data.getBufferInfo());
            if (TRACE) Trace.endSection();
            break;
        case MSG_FORCE_SHUTDOWN:
            muxer.handleForceStop();
            break;

        default:
            throw new RuntimeException("Unexpected msg what=" + what);
    }
}
项目：hugo    文件：Hugo.java    
private static void enterMethod(JoinPoint joinPoint) {
  if (!enabled) return;

  CodeSignature codeSignature = (CodeSignature) joinPoint.getSignature();

  Class<?> cls = codeSignature.getDeclaringType();
  String methodName = codeSignature.getName();
  String[] parameterNames = codeSignature.getParameterNames();
  Object[] parameterValues = joinPoint.getArgs();

  StringBuilder builder = new StringBuilder("\u21E2 ");
  builder.append(methodName).append('(');
  for (int i = 0; i < parameterValues.length; i++) {
    if (i > 0) {
      builder.append(", ");
    }
    builder.append(parameterNames[i]).append('=');
    builder.append(Strings.toString(parameterValues[i]));
  }
  builder.append(')');

  if (Looper.myLooper() != Looper.getMainLooper()) {
    builder.append(" [Thread:\"").append(Thread.currentThread().getName()).append("\"]");
  }

  Log.v(asTag(cls), builder.toString());

  if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
    final String section = builder.toString().substring(2);
    Trace.beginSection(section);
  }
}
项目：hugo    文件：Hugo.java    
private static void exitMethod(JoinPoint joinPoint, Object result, long lengthMillis) {
  if (!enabled) return;

  if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
    Trace.endSection();
  }

  Signature signature = joinPoint.getSignature();

  Class<?> cls = signature.getDeclaringType();
  String methodName = signature.getName();
  boolean hasReturnType = signature instanceof MethodSignature
      && ((MethodSignature) signature).getReturnType() != void.class;

  StringBuilder builder = new StringBuilder("\u21E0 ")
      .append(methodName)
      .append(" [")
      .append(lengthMillis)
      .append("ms]");

  if (hasReturnType) {
    builder.append(" = ");
    builder.append(Strings.toString(result));
  }

  Log.v(asTag(cls), builder.toString());
}
项目：AndroidTensorFlowMachineLearningExample    文件：TensorFlowImageClassifier.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
    // Log this method so that it can be analyzed with systrace.
    Trace.beginSection("recognizeImage");

    Trace.beginSection("preprocessBitmap");
    // Preprocess the image data from 0-255 int to normalized float based
    // on the provided parameters.
    bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
    for (int i = 0; i < intValues.length; ++i) {
        final int val = intValues[i];
        floatValues[i * 3 + 0] = (((val >> 16) & 0xFF) - imageMean) / imageStd;
        floatValues[i * 3 + 1] = (((val >> 8) & 0xFF) - imageMean) / imageStd;
        floatValues[i * 3 + 2] = ((val & 0xFF) - imageMean) / imageStd;
    }
    Trace.endSection();

    // Copy the input data into TensorFlow.
    Trace.beginSection("fillNodeFloat");
    inferenceInterface.fillNodeFloat(
            inputName, new int[]{1, inputSize, inputSize, 3}, floatValues);
    Trace.endSection();

    // Run the inference call.
    Trace.beginSection("runInference");
    inferenceInterface.runInference(outputNames);
    Trace.endSection();

    // Copy the output Tensor back into the output array.
    Trace.beginSection("readNodeFloat");
    inferenceInterface.readNodeFloat(outputName, outputs);
    Trace.endSection();

    // Find the best classifications.
    PriorityQueue<Recognition> pq =
            new PriorityQueue<Recognition>(
                    3,
                    new Comparator<Recognition>() {
                        @Override
                        public int compare(Recognition lhs, Recognition rhs) {
                            // Intentionally reversed to put high confidence at the head of the queue.
                            return Float.compare(rhs.getConfidence(), lhs.getConfidence());
                        }
                    });
    for (int i = 0; i < outputs.length; ++i) {
        if (outputs[i] > THRESHOLD) {
            pq.add(
                    new Recognition(
                            "" + i, labels.size() > i ? labels.get(i) : "unknown", outputs[i], null));
        }
    }
    final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
    int recognitionsSize = Math.min(pq.size(), MAX_RESULTS);
    for (int i = 0; i < recognitionsSize; ++i) {
        recognitions.add(pq.poll());
    }
    Trace.endSection(); // "recognizeImage"
    return recognitions;
}
项目：GitHub    文件：VirtualLayoutManager.java    
@Override
public void onLayoutChildren(RecyclerView.Recycler recycler, RecyclerView.State state) {
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.beginSection(TRACE_LAYOUT);
    }

    if (mNoScrolling && state.didStructureChange()) {
        mSpaceMeasured = false;
        mSpaceMeasuring = true;
    }


    runPreLayout(recycler, state);

    try {
        super.onLayoutChildren(recycler, state);
    } catch (Exception e) {
        e.printStackTrace();
        throw e;
    } finally {
        // MaX_VALUE means invalidate scrolling offset - no scroll
        runPostLayout(recycler, state, Integer.MAX_VALUE); // hack to indicate its an initial layout
    }


    if ((mNestedScrolling || mNoScrolling) && mSpaceMeasuring) {
        // measure required, so do measure
        mSpaceMeasured = true;
        // get last child
        int childCount = getChildCount();
        View lastChild = getChildAt(childCount - 1);
        if (lastChild != null) {
            RecyclerView.LayoutParams params = (RecyclerView.LayoutParams) lastChild.getLayoutParams();
            // found the end of last child view
            mMeasuredFullSpace = getDecoratedBottom(lastChild) + params.bottomMargin + computeAlignOffset(lastChild, true, false);

            if (mRecyclerView != null && mNestedScrolling) {
                ViewParent parent = mRecyclerView.getParent();
                if (parent instanceof View) {
                    // make sure the fullspace be the min value of measured space and parent's height
                    mMeasuredFullSpace = Math.min(mMeasuredFullSpace, ((View) parent).getMeasuredHeight());
                }
            }
        } else {
            mSpaceMeasuring = false;
        }
        mSpaceMeasuring = false;
        if (mRecyclerView != null && getItemCount() > 0) {
            // relayout
            mRecyclerView.post(new Runnable() {
                @Override
                public void run() {
                    // post relayout
                    if (mRecyclerView != null)
                        mRecyclerView.requestLayout();
                }
            });
        }
    }

    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.endSection();
    }
}
项目：GitHub    文件：VirtualLayoutManager.java    
/**
 * Entry method for scrolling
 * {@inheritDoc}
 */
@Override
protected int scrollInternalBy(int dy, RecyclerView.Recycler recycler, RecyclerView.State state) {
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.beginSection(TRACE_SCROLL);
    }

    runPreLayout(recycler, state);

    int scrolled = 0;
    try {
        if (!mNoScrolling) {
            scrolled = super.scrollInternalBy(dy, recycler, state);
        } else {
            if (getChildCount() == 0 || dy == 0) {
                return 0;
            }

            mLayoutState.mRecycle = true;
            ensureLayoutStateExpose();
            final int layoutDirection = dy > 0 ? LayoutState.LAYOUT_END : LayoutState.LAYOUT_START;
            final int absDy = Math.abs(dy);
            updateLayoutStateExpose(layoutDirection, absDy, true, state);
            final int freeScroll = mLayoutState.mScrollingOffset;

            final int consumed = freeScroll + fill(recycler, mLayoutState, state, false);
            if (consumed < 0) {
                return 0;
            }
            scrolled = absDy > consumed ? layoutDirection * consumed : dy;
        }
    } catch (Exception e) {
        Log.w(TAG, Log.getStackTraceString(e), e);
        if (sDebuggable)
            throw e;

    } finally {
        runPostLayout(recycler, state, scrolled);
    }

    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.endSection();
    }

    return scrolled;
}
项目：GitHub    文件：VirtualLayoutManager.java    
@Override
public void onLayoutChildren(RecyclerView.Recycler recycler, RecyclerView.State state) {
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.beginSection(TRACE_LAYOUT);
    }

    if (mNoScrolling && state.didStructureChange()) {
        mSpaceMeasured = false;
        mSpaceMeasuring = true;
    }


    runPreLayout(recycler, state);

    try {
        super.onLayoutChildren(recycler, state);
    } catch (Exception e) {
        e.printStackTrace();
        throw e;
    } finally {
        // MaX_VALUE means invalidate scrolling offset - no scroll
        runPostLayout(recycler, state, Integer.MAX_VALUE); // hack to indicate its an initial layout
    }


    if ((mNestedScrolling || mNoScrolling) && mSpaceMeasuring) {
        // measure required, so do measure
        mSpaceMeasured = true;
        // get last child
        int childCount = getChildCount();
        View lastChild = getChildAt(childCount - 1);
        if (lastChild != null) {
            RecyclerView.LayoutParams params = (RecyclerView.LayoutParams) lastChild.getLayoutParams();
            // found the end of last child view
            mMeasuredFullSpace = getDecoratedBottom(lastChild) + params.bottomMargin + computeAlignOffset(lastChild, true, false);

            if (mRecyclerView != null && mNestedScrolling) {
                ViewParent parent = mRecyclerView.getParent();
                if (parent instanceof View) {
                    // make sure the fullspace be the min value of measured space and parent's height
                    mMeasuredFullSpace = Math.min(mMeasuredFullSpace, ((View) parent).getMeasuredHeight());
                }
            }
        } else {
            mSpaceMeasuring = false;
        }
        mSpaceMeasuring = false;
        if (mRecyclerView != null && getItemCount() > 0) {
            // relayout
            mRecyclerView.post(new Runnable() {
                @Override
                public void run() {
                    // post relayout
                    if (mRecyclerView != null)
                        mRecyclerView.requestLayout();
                }
            });
        }
    }

    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.endSection();
    }
}
项目：GitHub    文件：VirtualLayoutManager.java    
/**
 * Entry method for scrolling
 * {@inheritDoc}
 */
@Override
protected int scrollInternalBy(int dy, RecyclerView.Recycler recycler, RecyclerView.State state) {
    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.beginSection(TRACE_SCROLL);
    }

    runPreLayout(recycler, state);

    int scrolled = 0;
    try {
        if (!mNoScrolling) {
            scrolled = super.scrollInternalBy(dy, recycler, state);
        } else {
            if (getChildCount() == 0 || dy == 0) {
                return 0;
            }

            mLayoutState.mRecycle = true;
            ensureLayoutStateExpose();
            final int layoutDirection = dy > 0 ? LayoutState.LAYOUT_END : LayoutState.LAYOUT_START;
            final int absDy = Math.abs(dy);
            updateLayoutStateExpose(layoutDirection, absDy, true, state);
            final int freeScroll = mLayoutState.mScrollingOffset;

            final int consumed = freeScroll + fill(recycler, mLayoutState, state, false);
            if (consumed < 0) {
                return 0;
            }
            scrolled = absDy > consumed ? layoutDirection * consumed : dy;
        }
    } catch (Exception e) {
        Log.w(TAG, Log.getStackTraceString(e), e);
        if (sDebuggable)
            throw e;

    } finally {
        runPostLayout(recycler, state, scrolled);
    }

    if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.JELLY_BEAN_MR2) {
        Trace.endSection();
    }

    return scrolled;
}
项目：FaceRecognition    文件：TensorflowFaceClassifier.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
    // Log this method so that it can be analyzed with systrace.
    Trace.beginSection("recognizeImage");
    Trace.beginSection("preprocessBitmap");
    // Preprocess the image data from 0-255 int to normalized float based
    // on the provided parameters.
    bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
    for (int i = 0; i < intValues.length; ++i) {
        final int val = intValues[i];
        floatValues[i * 3 + 0] = (((val >> 16) & 0xFF) - imageMean) / imageStd;
        floatValues[i * 3 + 1] = (((val >> 8) & 0xFF) - imageMean) / imageStd;
        floatValues[i * 3 + 2] = ((val & 0xFF) - imageMean) / imageStd;
    }
    Trace.endSection();

    // Copy the input data into TensorFlow.
    Trace.beginSection("fillNodeFloat");
    inferenceInterface.fillNodeFloat(
            inputName, new int[]{1, inputSize, inputSize, 3}, floatValues);
    Trace.endSection();

    // Run the inference call.
    Trace.beginSection("runInference");
    inferenceInterface.runInference(outputNames);
    Trace.endSection();

    // Copy the output Tensor back into the output array.
    Trace.beginSection("readNodeFloat");
    inferenceInterface.readNodeFloat(outputName, outputs);
    Trace.endSection();

    final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();

    for (int i = 0; i < outputs.length; ++i) {
                recognitions.add(
                        new Recognition(
                                "" + i, labels.size() > i ? labels.get(i) : "unknown", outputs[i], null));
    }

    Trace.endSection(); // "recognizeImage"
    return recognitions;
}
项目：TensorflowAndroidDemo    文件：TensorFlowImageClassifier.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
  // Log this method so that it can be analyzed with systrace.
  Trace.beginSection("recognizeImage");

  Trace.beginSection("preprocessBitmap");
  // Preprocess the image data from 0-255 int to normalized float based
  // on the provided parameters.
  bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
  for (int i = 0; i < intValues.length; ++i) {
    final int val = intValues[i];
    floatValues[i * 3 + 0] = (((val >> 16) & 0xFF) - imageMean) / imageStd;
    floatValues[i * 3 + 1] = (((val >> 8) & 0xFF) - imageMean) / imageStd;
    floatValues[i * 3 + 2] = ((val & 0xFF) - imageMean) / imageStd;
  }
  Trace.endSection();

  // Copy the input data into TensorFlow.
  Trace.beginSection("feed");
  inferenceInterface.feed(inputName, floatValues, 1, inputSize, inputSize, 3);
  Trace.endSection();

  // Run the inference call.
  Trace.beginSection("run");
  inferenceInterface.run(outputNames, logStats);
  Trace.endSection();

  // Copy the output Tensor back into the output array.
  Trace.beginSection("fetch");
  inferenceInterface.fetch(outputName, outputs);
  Trace.endSection();

  // Find the best classifications.
  PriorityQueue<Recognition> pq =
      new PriorityQueue<Recognition>(
          3,
          new Comparator<Recognition>() {
            @Override
            public int compare(Recognition lhs, Recognition rhs) {
              // Intentionally reversed to put high confidence at the head of the queue.
              return Float.compare(rhs.getConfidence(), lhs.getConfidence());
            }
          });
  for (int i = 0; i < outputs.length; ++i) {
    if (outputs[i] > THRESHOLD) {
      pq.add(
          new Recognition(
              "" + i, labels.size() > i ? labels.get(i) : "unknown", outputs[i], null));
    }
  }
  final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
  int recognitionsSize = Math.min(pq.size(), MAX_RESULTS);
  for (int i = 0; i < recognitionsSize; ++i) {
    recognitions.add(pq.poll());
  }
  Trace.endSection(); // "recognizeImage"
  return recognitions;
}
项目：TensorflowAndroidDemo    文件：TensorFlowMultiBoxDetector.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
  // Log this method so that it can be analyzed with systrace.
  Trace.beginSection("recognizeImage");

  Trace.beginSection("preprocessBitmap");
  // Preprocess the image data from 0-255 int to normalized float based
  // on the provided parameters.
  bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());

  for (int i = 0; i < intValues.length; ++i) {
    floatValues[i * 3 + 0] = ((intValues[i] & 0xFF) - imageMean) / imageStd;
    floatValues[i * 3 + 1] = (((intValues[i] >> 8) & 0xFF) - imageMean) / imageStd;
    floatValues[i * 3 + 2] = (((intValues[i] >> 16) & 0xFF) - imageMean) / imageStd;
  }
  Trace.endSection(); // preprocessBitmap

  // Copy the input data into TensorFlow.
  Trace.beginSection("feed");
  inferenceInterface.feed(inputName, floatValues, 1, inputSize, inputSize, 3);
  Trace.endSection();

  // Run the inference call.
  Trace.beginSection("run");
  inferenceInterface.run(outputNames, logStats);
  Trace.endSection();

  // Copy the output Tensor back into the output array.
  Trace.beginSection("fetch");
  final float[] outputScoresEncoding = new float[numLocations];
  final float[] outputLocationsEncoding = new float[numLocations * 4];
  inferenceInterface.fetch(outputNames[0], outputLocationsEncoding);
  inferenceInterface.fetch(outputNames[1], outputScoresEncoding);
  Trace.endSection();

  outputLocations = decodeLocationsEncoding(outputLocationsEncoding);
  outputScores = decodeScoresEncoding(outputScoresEncoding);

  // Find the best detections.
  final PriorityQueue<Recognition> pq =
      new PriorityQueue<Recognition>(
          1,
          new Comparator<Recognition>() {
            @Override
            public int compare(final Recognition lhs, final Recognition rhs) {
              // Intentionally reversed to put high confidence at the head of the queue.
              return Float.compare(rhs.getConfidence(), lhs.getConfidence());
            }
          });

  // Scale them back to the input size.
  for (int i = 0; i < outputScores.length; ++i) {
    final RectF detection =
        new RectF(
            outputLocations[4 * i] * inputSize,
            outputLocations[4 * i + 1] * inputSize,
            outputLocations[4 * i + 2] * inputSize,
            outputLocations[4 * i + 3] * inputSize);
    pq.add(new Recognition("" + i, null, outputScores[i], detection));
  }

  final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
  for (int i = 0; i < Math.min(pq.size(), MAX_RESULTS); ++i) {
    recognitions.add(pq.poll());
  }
  Trace.endSection(); // "recognizeImage"
  return recognitions;
}
项目：TensorflowAndroidDemo    文件：ClassifierActivity.java    
@Override
public void onImageAvailable(final ImageReader reader) {
  Image image = null;

  try {
    image = reader.acquireLatestImage();

    if (image == null) {
      return;
    }

    if (computing) {
      image.close();
      return;
    }
    computing = true;

    Trace.beginSection("imageAvailable");

    final Plane[] planes = image.getPlanes();
    fillBytes(planes, yuvBytes);

    final int yRowStride = planes[0].getRowStride();
    final int uvRowStride = planes[1].getRowStride();
    final int uvPixelStride = planes[1].getPixelStride();
    ImageUtils.convertYUV420ToARGB8888(
        yuvBytes[0],
        yuvBytes[1],
        yuvBytes[2],
        rgbBytes,
        previewWidth,
        previewHeight,
        yRowStride,
        uvRowStride,
        uvPixelStride,
        false);

    image.close();
  } catch (final Exception e) {
    if (image != null) {
      image.close();
    }
    LOGGER.e(e, "Exception!");
    Trace.endSection();
    return;
  }

  rgbFrameBitmap.setPixels(rgbBytes, 0, previewWidth, 0, 0, previewWidth, previewHeight);
  final Canvas canvas = new Canvas(croppedBitmap);
  canvas.drawBitmap(rgbFrameBitmap, frameToCropTransform, null);

  // For examining the actual TF input.
  if (SAVE_PREVIEW_BITMAP) {
    ImageUtils.saveBitmap(croppedBitmap);
  }

  runInBackground(
      new Runnable() {
        @Override
        public void run() {
          final long startTime = SystemClock.uptimeMillis();
          final List<Classifier.Recognition> results = classifier.recognizeImage(croppedBitmap);
          lastProcessingTimeMs = SystemClock.uptimeMillis() - startTime;

          cropCopyBitmap = Bitmap.createBitmap(croppedBitmap);
          resultsView.setResults(results);
          requestRender();
          computing = false;
        }
      });

  Trace.endSection();
}
项目：TensorFlowDetector-App    文件：TensorFlowImageClassifier.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
    // Log this method so that it can be analyzed with systrace.
    Trace.beginSection("recognizeImage");

    Trace.beginSection("preprocessBitmap");
    // Preprocess the image data from 0-255 int to normalized float based
    // on the provided parameters.
    bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
    for (int i = 0; i < intValues.length; ++i) {
        final int val = intValues[i];
        floatValues[i * 3 + 0] = (((val >> 16) & 0xFF) - imageMean) / imageStd;
        floatValues[i * 3 + 1] = (((val >> 8) & 0xFF) - imageMean) / imageStd;
        floatValues[i * 3 + 2] = ((val & 0xFF) - imageMean) / imageStd;
    }
    Trace.endSection();

    // Copy the input data into TensorFlow.
    Trace.beginSection("fillNodeFloat");
    inferenceInterface.fillNodeFloat(
            inputName, new int[]{1, inputSize, inputSize, 3}, floatValues);
    Trace.endSection();

    // Run the inference call.
    Trace.beginSection("runInference");
    inferenceInterface.runInference(outputNames);
    Trace.endSection();

    // Copy the output Tensor back into the output array.
    Trace.beginSection("readNodeFloat");
    inferenceInterface.readNodeFloat(outputName, outputs);
    Trace.endSection();

    // Find the best classifications.
    PriorityQueue<Recognition> pq =
            new PriorityQueue<Recognition>(
                    3,
                    new Comparator<Recognition>() {
                        @Override
                        public int compare(Recognition lhs, Recognition rhs) {
                            // Intentionally reversed to put high confidence at the head of the queue.
                            return Float.compare(rhs.getConfidence(), lhs.getConfidence());
                        }
                    });
    for (int i = 0; i < outputs.length; ++i) {
        if (outputs[i] > THRESHOLD) {
            pq.add(
                    new Recognition(
                            "" + i, labels.size() > i ? labels.get(i) : "unknown", outputs[i], null));
        }
    }
    final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
    int recognitionsSize = Math.min(pq.size(), MAX_RESULTS);
    for (int i = 0; i < recognitionsSize; ++i) {
        recognitions.add(pq.poll());
    }
    Trace.endSection(); // "recognizeImage"
    return recognitions;
}
项目：tensorflow-classifier-android    文件：TensorFlowImageClassifier.java    
@Override
public List<Recognition> recognizeImage(final Bitmap bitmap) {
  // Log this method so that it can be analyzed with systrace.
  Trace.beginSection("recognizeImage");

  Trace.beginSection("preprocessBitmap");
  // Preprocess the image data from 0-255 int to normalized float based
  // on the provided parameters.
  bitmap.getPixels(intValues, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
  for (int i = 0; i < intValues.length; ++i) {
    final int val = intValues[i];
    floatValues[i * 3 + 0] = (((val >> 16) & 0xFF) - imageMean) / imageStd;
    floatValues[i * 3 + 1] = (((val >> 8) & 0xFF) - imageMean) / imageStd;
    floatValues[i * 3 + 2] = ((val & 0xFF) - imageMean) / imageStd;
  }
  Trace.endSection();

  // Copy the input data into TensorFlow.
  Trace.beginSection("feed");
  inferenceInterface.feed(inputName, floatValues, 1, inputSize, inputSize, 3);
  Trace.endSection();

  // Run the inference call.
  Trace.beginSection("run");
  inferenceInterface.run(outputNames, logStats);
  Trace.endSection();

  // Copy the output Tensor back into the output array.
  Trace.beginSection("fetch");
  inferenceInterface.fetch(outputName, outputs);
  Trace.endSection();

  // Find the best classifications.
  PriorityQueue<Recognition> pq =
      new PriorityQueue<Recognition>(
          3,
          new Comparator<Recognition>() {
            @Override
            public int compare(Recognition lhs, Recognition rhs) {
              // Intentionally reversed to put high confidence at the head of the queue.
              return Float.compare(rhs.getConfidence(), lhs.getConfidence());
            }
          });
  for (int i = 0; i < outputs.length; ++i) {
    if (outputs[i] > THRESHOLD) {
      pq.add(
          new Recognition(
              "" + i, labels.size() > i ? labels.get(i) : "unknown", outputs[i], null));
    }
  }
  final ArrayList<Recognition> recognitions = new ArrayList<Recognition>();
  int recognitionsSize = Math.min(pq.size(), MAX_RESULTS);
  for (int i = 0; i < recognitionsSize; ++i) {
    recognitions.add(pq.poll());
  }
  Trace.endSection(); // "recognizeImage"
  return recognitions;
}