Example 21 with IntDoubleVector
use of com.tencent.angel.ml.math2.vector.IntDoubleVector in project angel by Tencent.
the class SimpleBinaryInAllExecutor method apply.
public static Vector apply(IntDoubleVector v1, IntFloatVector v2, Binary op) {
if (v1.isDense() && v2.isDense()) {
double[] resValues = v1.getStorage().getValues();
float[] v2Values = v2.getStorage().getValues();
for (int idx = 0; idx < resValues.length; idx++) {
resValues[idx] = op.apply(resValues[idx], v2Values[idx]);
}
} else if (v1.isDense() && v2.isSparse()) {
double[] resValues = v1.getStorage().getValues();
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
ObjectIterator<Int2FloatMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Int2FloatMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resValues[idx] = op.apply(v1.get(idx), entry.getFloatValue());
}
} else {
IntFloatVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
} else if (v1.isDense() && v2.isSorted()) {
double[] resValues = v1.getStorage().getValues();
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
int[] v2Indices = v2.getStorage().getIndices();
float[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
int size = v2.size();
for (int i = 0; i < size; i++) {
int idx = v2Indices[i];
resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
}
} else {
IntFloatVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
} else if (v1.isSparse() && v2.isDense()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
float[] v2Values = v2.getStorage().getValues();
if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(0, v2Values[i]);
}
ObjectIterator<Int2DoubleMap.Entry> iter = v1.getStorage().entryIterator();
while (iter.hasNext()) {
Int2DoubleMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resValues[idx] = op.apply(entry.getDoubleValue(), v2Values[idx]);
}
} else {
for (int i = 0; i < resValues.length; i++) {
if (v1.getStorage().hasKey(i)) {
resValues[i] = op.apply(v1.get(i), v2Values[i]);
} else {
resValues[i] = op.apply(0, v2Values[i]);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSorted() && v2.isDense()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
float[] v2Values = v2.getStorage().getValues();
if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
int[] v1Indices = v1.getStorage().getIndices();
double[] v1Values = v1.getStorage().getValues();
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(0, v2Values[i]);
}
int size = v1.size();
for (int i = 0; i < size; i++) {
int idx = v1Indices[i];
resValues[idx] = op.apply(v1Values[i], v2Values[idx]);
}
} else {
IntDoubleVectorStorage v1Storage = v1.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v1Storage.hasKey(i)) {
resValues[i] = op.apply(v1.get(i), v2Values[i]);
} else {
resValues[i] = op.apply(0, v2Values[i]);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSparse() && v2.isSparse()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
ObjectIterator<Int2DoubleMap.Entry> iter1 = v1.getStorage().entryIterator();
while (iter1.hasNext()) {
Int2DoubleMap.Entry entry = iter1.next();
int idx = entry.getIntKey();
resValues[idx] = entry.getDoubleValue();
}
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
ObjectIterator<Int2FloatMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Int2FloatMap.Entry entry = iter.next();
int idx = entry.getIntKey();
if (v1.getStorage().hasKey(idx)) {
resValues[idx] = op.apply(v1.get(idx), entry.getFloatValue());
}
}
} else {
IntFloatVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSparse() && v2.isSorted()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
ObjectIterator<Int2DoubleMap.Entry> iter1 = v1.getStorage().entryIterator();
while (iter1.hasNext()) {
Int2DoubleMap.Entry entry = iter1.next();
int idx = entry.getIntKey();
resValues[idx] = entry.getDoubleValue();
}
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
int[] v2Indices = v2.getStorage().getIndices();
float[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
int size = v2.size();
for (int i = 0; i < size; i++) {
int idx = v2Indices[i];
if (v1.getStorage().hasKey(idx)) {
resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
}
}
} else {
IntFloatVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSorted() && v2.isSparse()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
int[] v1Indices = v1.getStorage().getIndices();
double[] v1Values = v1.getStorage().getValues();
int size = v1.size();
for (int i = 0; i < size; i++) {
int idx = v1Indices[i];
resValues[idx] = v1Values[i];
}
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
ObjectIterator<Int2FloatMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Int2FloatMap.Entry entry = iter.next();
int idx = entry.getIntKey();
if (v1.getStorage().hasKey(idx)) {
resValues[idx] = op.apply(v1.get(idx), entry.getFloatValue());
}
}
} else {
IntFloatVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSorted() && v2.isSorted()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
int v1Pointor = 0;
int v2Pointor = 0;
int size1 = v1.size();
int size2 = v2.size();
int[] v1Indices = v1.getStorage().getIndices();
double[] v1Values = v1.getStorage().getValues();
int[] v2Indices = v2.getStorage().getIndices();
float[] v2Values = v2.getStorage().getValues();
if (!op.isCompare()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = Double.NaN;
}
}
while (v1Pointor < size1 && v2Pointor < size2) {
if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
v1Pointor++;
v2Pointor++;
} else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], 0);
v1Pointor++;
} else {
// v1Indices[v1Pointor] > v2Indices[v2Pointor]
resValues[v2Indices[v2Pointor]] = op.apply(0, v2Values[v2Pointor]);
v2Pointor++;
}
}
v1.setStorage(newStorage);
}
} else {
throw new AngelException("The operation is not support!");
}
return v1;
}
Also used :
AngelException(com.tencent.angel.exception.AngelException)
Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap)
ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)
IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
Int2FloatMap(it.unimi.dsi.fastutil.ints.Int2FloatMap)
Example 22 with IntDoubleVector
use of com.tencent.angel.ml.math2.vector.IntDoubleVector in project angel by Tencent.
the class SimpleBinaryInAllExecutor method apply.
public static Vector apply(IntDoubleVector v1, IntIntVector v2, Binary op) {
if (v1.isDense() && v2.isDense()) {
double[] resValues = v1.getStorage().getValues();
int[] v2Values = v2.getStorage().getValues();
for (int idx = 0; idx < resValues.length; idx++) {
resValues[idx] = op.apply(resValues[idx], v2Values[idx]);
}
} else if (v1.isDense() && v2.isSparse()) {
double[] resValues = v1.getStorage().getValues();
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Int2IntMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
}
} else {
IntIntVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
} else if (v1.isDense() && v2.isSorted()) {
double[] resValues = v1.getStorage().getValues();
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
int[] v2Indices = v2.getStorage().getIndices();
int[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
int size = v2.size();
for (int i = 0; i < size; i++) {
int idx = v2Indices[i];
resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
}
} else {
IntIntVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
} else if (v1.isSparse() && v2.isDense()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
int[] v2Values = v2.getStorage().getValues();
if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(0, v2Values[i]);
}
ObjectIterator<Int2DoubleMap.Entry> iter = v1.getStorage().entryIterator();
while (iter.hasNext()) {
Int2DoubleMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resValues[idx] = op.apply(entry.getDoubleValue(), v2Values[idx]);
}
} else {
for (int i = 0; i < resValues.length; i++) {
if (v1.getStorage().hasKey(i)) {
resValues[i] = op.apply(v1.get(i), v2Values[i]);
} else {
resValues[i] = op.apply(0, v2Values[i]);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSorted() && v2.isDense()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
int[] v2Values = v2.getStorage().getValues();
if (v1.size() < Constant.denseLoopThreshold * v1.getDim()) {
int[] v1Indices = v1.getStorage().getIndices();
double[] v1Values = v1.getStorage().getValues();
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(0, v2Values[i]);
}
int size = v1.size();
for (int i = 0; i < size; i++) {
int idx = v1Indices[i];
resValues[idx] = op.apply(v1Values[i], v2Values[idx]);
}
} else {
IntDoubleVectorStorage v1Storage = v1.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v1Storage.hasKey(i)) {
resValues[i] = op.apply(v1.get(i), v2Values[i]);
} else {
resValues[i] = op.apply(0, v2Values[i]);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSparse() && v2.isSparse()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
ObjectIterator<Int2DoubleMap.Entry> iter1 = v1.getStorage().entryIterator();
while (iter1.hasNext()) {
Int2DoubleMap.Entry entry = iter1.next();
int idx = entry.getIntKey();
resValues[idx] = entry.getDoubleValue();
}
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Int2IntMap.Entry entry = iter.next();
int idx = entry.getIntKey();
if (v1.getStorage().hasKey(idx)) {
resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
}
}
} else {
IntIntVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSparse() && v2.isSorted()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
ObjectIterator<Int2DoubleMap.Entry> iter1 = v1.getStorage().entryIterator();
while (iter1.hasNext()) {
Int2DoubleMap.Entry entry = iter1.next();
int idx = entry.getIntKey();
resValues[idx] = entry.getDoubleValue();
}
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
int[] v2Indices = v2.getStorage().getIndices();
int[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
int size = v2.size();
for (int i = 0; i < size; i++) {
int idx = v2Indices[i];
if (v1.getStorage().hasKey(idx)) {
resValues[idx] = op.apply(v1.get(idx), v2Values[i]);
}
}
} else {
IntIntVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSorted() && v2.isSparse()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
int[] v1Indices = v1.getStorage().getIndices();
double[] v1Values = v1.getStorage().getValues();
int size = v1.size();
for (int i = 0; i < size; i++) {
int idx = v1Indices[i];
resValues[idx] = v1Values[i];
}
if (v2.size() < Constant.denseLoopThreshold * v2.getDim()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = op.apply(resValues[i], 0);
}
ObjectIterator<Int2IntMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Int2IntMap.Entry entry = iter.next();
int idx = entry.getIntKey();
if (v1.getStorage().hasKey(idx)) {
resValues[idx] = op.apply(v1.get(idx), entry.getIntValue());
}
}
} else {
IntIntVectorStorage v2Storage = v2.getStorage();
for (int i = 0; i < resValues.length; i++) {
if (v2Storage.hasKey(i)) {
resValues[i] = op.apply(resValues[i], v2.get(i));
} else {
resValues[i] = op.apply(resValues[i], 0);
}
}
}
v1.setStorage(newStorage);
}
} else if (v1.isSorted() && v2.isSorted()) {
if (op.isKeepStorage()) {
throw new AngelException("operation is not support!");
} else {
IntDoubleVectorStorage newStorage = v1.getStorage().emptyDense();
double[] resValues = newStorage.getValues();
int v1Pointor = 0;
int v2Pointor = 0;
int size1 = v1.size();
int size2 = v2.size();
int[] v1Indices = v1.getStorage().getIndices();
double[] v1Values = v1.getStorage().getValues();
int[] v2Indices = v2.getStorage().getIndices();
int[] v2Values = v2.getStorage().getValues();
if (!op.isCompare()) {
for (int i = 0; i < resValues.length; i++) {
resValues[i] = Double.NaN;
}
}
while (v1Pointor < size1 && v2Pointor < size2) {
if (v1Indices[v1Pointor] == v2Indices[v2Pointor]) {
resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], v2Values[v2Pointor]);
v1Pointor++;
v2Pointor++;
} else if (v1Indices[v1Pointor] < v2Indices[v2Pointor]) {
resValues[v1Indices[v1Pointor]] = op.apply(v1Values[v1Pointor], 0);
v1Pointor++;
} else {
// v1Indices[v1Pointor] > v2Indices[v2Pointor]
resValues[v2Indices[v2Pointor]] = op.apply(0, v2Values[v2Pointor]);
v2Pointor++;
}
}
v1.setStorage(newStorage);
}
} else {
throw new AngelException("The operation is not support!");
}
return v1;
}
Also used :
AngelException(com.tencent.angel.exception.AngelException)
IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap)
Int2IntMap(it.unimi.dsi.fastutil.ints.Int2IntMap)
ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)
Example 23 with IntDoubleVector
use of com.tencent.angel.ml.math2.vector.IntDoubleVector in project angel by Tencent.
the class MixedBinaryOutAllExecutor method apply.
private static Vector apply(CompIntDoubleVector v1, IntLongVector v2, Binary op) {
IntDoubleVector[] parts = v1.getPartitions();
Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
if (v2.isDense()) {
long[] v2Values = v2.getStorage().getValues();
int base = 0, k = 0;
for (IntDoubleVector part : parts) {
IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[k];
if (part.isDense()) {
double[] partValue = part.getStorage().getValues();
double[] resPartValues = resPart.getValues();
for (int i = 0; i < partValue.length; i++) {
int idx = i;
resPartValues[i] = op.apply(partValue[i], v2Values[idx + base]);
}
} else if (part.isSparse()) {
if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
for (int i = 0; i < part.getDim(); i++) {
resPart.set(i, op.apply(0, v2Values[i + base]));
}
ObjectIterator<Int2DoubleMap.Entry> iter = part.getStorage().entryIterator();
while (iter.hasNext()) {
Int2DoubleMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resPart.set(idx, op.apply(entry.getDoubleValue(), v2Values[idx + base]));
}
} else {
for (int i = 0; i < resPart.size(); i++) {
if (part.getStorage().hasKey(i)) {
resPart.set(i, op.apply(part.get(i), v2Values[i + base]));
} else {
resPart.set(i, op.apply(0, v2Values[i + base]));
}
}
}
} else {
// sorted
if (op.isKeepStorage()) {
int[] resPartIndices = resPart.getIndices();
double[] resPartValues = resPart.getValues();
if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int i = 0; i < part.getDim(); i++) {
resPartIndices[i] = i;
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
int size = part.size();
for (int i = 0; i < size; i++) {
int idx = partIndices[i];
resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
}
} else {
IntDoubleVectorStorage partStorage = part.getStorage();
for (int i = 0; i < resPartValues.length; i++) {
if (partStorage.hasKey(i)) {
resPartIndices[i] = i;
resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
} else {
resPartIndices[i] = i;
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
}
}
} else {
double[] resPartValues = resPart.getValues();
if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int i = 0; i < part.getDim(); i++) {
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
int size = part.size();
for (int i = 0; i < size; i++) {
int idx = partIndices[i];
resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
}
} else {
IntDoubleVectorStorage partStorage = part.getStorage();
for (int i = 0; i < resPartValues.length; i++) {
if (partStorage.hasKey(i)) {
resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
} else {
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
}
}
}
}
base += part.getDim();
k++;
}
} else {
if (!op.isKeepStorage()) {
for (int i = 0; i < parts.length; i++) {
if (parts[i].getStorage() instanceof IntDoubleSortedVectorStorage) {
resParts[i] = new IntDoubleSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
}
}
}
int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
for (int i = 0; i < v1.getDim(); i++) {
int pidx = (int) (i / subDim);
int subidx = i % subDim;
if (v2.getStorage().hasKey(i)) {
((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
} else {
((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
}
}
}
IntDoubleVector[] res = new IntDoubleVector[parts.length];
int i = 0;
for (IntDoubleVector part : parts) {
res[i] = new IntDoubleVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntDoubleVectorStorage) resParts[i]);
i++;
}
return new CompIntDoubleVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used :
Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap)
CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)
IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector)
ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)
IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)
IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage)
Storage(com.tencent.angel.ml.math2.storage.Storage)
IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)
LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage)
LongLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage)
IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)
LongDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSparseVectorStorage)
LongDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage)
LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage)
LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)
IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage)
IntIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage)
LongIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage)
IntLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage)
IntLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage)
LongIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage)
IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)
IntFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)
LongLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSortedVectorStorage)
LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
IntIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage)
IntFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage)
LongFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSparseVectorStorage)
LongFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSortedVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)
CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)
Example 24 with IntDoubleVector
use of com.tencent.angel.ml.math2.vector.IntDoubleVector in project angel by Tencent.
the class MixedBinaryOutAllExecutor method apply.
private static Vector apply(CompIntDoubleVector v1, IntDoubleVector v2, Binary op) {
IntDoubleVector[] parts = v1.getPartitions();
Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
if (v2.isDense()) {
double[] v2Values = v2.getStorage().getValues();
int base = 0, k = 0;
for (IntDoubleVector part : parts) {
IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[k];
if (part.isDense()) {
double[] partValue = part.getStorage().getValues();
double[] resPartValues = resPart.getValues();
for (int i = 0; i < partValue.length; i++) {
int idx = i;
resPartValues[i] = op.apply(partValue[i], v2Values[idx + base]);
}
} else if (part.isSparse()) {
if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
for (int i = 0; i < part.getDim(); i++) {
resPart.set(i, op.apply(0, v2Values[i + base]));
}
ObjectIterator<Int2DoubleMap.Entry> iter = part.getStorage().entryIterator();
while (iter.hasNext()) {
Int2DoubleMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resPart.set(idx, op.apply(entry.getDoubleValue(), v2Values[idx + base]));
}
} else {
for (int i = 0; i < resPart.size(); i++) {
if (part.getStorage().hasKey(i)) {
resPart.set(i, op.apply(part.get(i), v2Values[i + base]));
} else {
resPart.set(i, op.apply(0, v2Values[i + base]));
}
}
}
} else {
// sorted
if (op.isKeepStorage()) {
int[] resPartIndices = resPart.getIndices();
double[] resPartValues = resPart.getValues();
if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int i = 0; i < part.getDim(); i++) {
resPartIndices[i] = i;
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
int size = part.size();
for (int i = 0; i < size; i++) {
int idx = partIndices[i];
resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
}
} else {
IntDoubleVectorStorage partStorage = part.getStorage();
for (int i = 0; i < resPartValues.length; i++) {
if (partStorage.hasKey(i)) {
resPartIndices[i] = i;
resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
} else {
resPartIndices[i] = i;
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
}
}
} else {
double[] resPartValues = resPart.getValues();
if (part.size() < Constant.denseLoopThreshold * part.getDim()) {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int i = 0; i < part.getDim(); i++) {
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
int size = part.size();
for (int i = 0; i < size; i++) {
int idx = partIndices[i];
resPartValues[idx] = op.apply(partValues[i], v2Values[idx + base]);
}
} else {
IntDoubleVectorStorage partStorage = part.getStorage();
for (int i = 0; i < resPartValues.length; i++) {
if (partStorage.hasKey(i)) {
resPartValues[i] = op.apply(partStorage.get(i), v2Values[i + base]);
} else {
resPartValues[i] = op.apply(0, v2Values[i + base]);
}
}
}
}
}
base += part.getDim();
k++;
}
} else {
if (!op.isKeepStorage()) {
for (int i = 0; i < parts.length; i++) {
if (parts[i].getStorage() instanceof IntDoubleSortedVectorStorage) {
resParts[i] = new IntDoubleSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
}
}
}
int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
for (int i = 0; i < v1.getDim(); i++) {
int pidx = (int) (i / subDim);
int subidx = i % subDim;
if (v2.getStorage().hasKey(i)) {
((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
} else {
((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 0));
}
}
}
IntDoubleVector[] res = new IntDoubleVector[parts.length];
int i = 0;
for (IntDoubleVector part : parts) {
res[i] = new IntDoubleVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntDoubleVectorStorage) resParts[i]);
i++;
}
return new CompIntDoubleVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used :
Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap)
CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)
IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector)
ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)
IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)
IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage)
Storage(com.tencent.angel.ml.math2.storage.Storage)
IntDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)
LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage)
LongLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSparseVectorStorage)
IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)
LongDoubleSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSparseVectorStorage)
LongDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleSortedVectorStorage)
LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage)
LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)
IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage)
IntIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage)
LongIntSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSortedVectorStorage)
IntLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSortedVectorStorage)
IntLongSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntLongSparseVectorStorage)
LongIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage)
IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)
IntFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)
LongLongSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongLongSortedVectorStorage)
LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
IntIntSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage)
IntFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage)
LongFloatSparseVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSparseVectorStorage)
LongFloatSortedVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatSortedVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
IntDoubleSortedVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)
CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)
Example 25 with IntDoubleVector
use of com.tencent.angel.ml.math2.vector.IntDoubleVector in project angel by Tencent.
the class MixedBinaryOutZAExecutor method apply.
private static Vector apply(CompIntDoubleVector v1, IntLongVector v2, Binary op) {
IntDoubleVector[] parts = v1.getPartitions();
Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
if (v2.isDense()) {
int base = 0;
long[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < parts.length; i++) {
IntDoubleVector part = parts[i];
IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[i];
if (part.isDense()) {
double[] resPartValues = resPart.getValues();
double[] partValues = part.getStorage().getValues();
for (int j = 0; j < resPartValues.length; j++) {
resPartValues[j] = op.apply(partValues[j], v2Values[base + j]);
}
} else if (part.isSparse()) {
ObjectIterator<Int2DoubleMap.Entry> iter = part.getStorage().entryIterator();
while (iter.hasNext()) {
Int2DoubleMap.Entry entry = iter.next();
int idx = entry.getIntKey();
resPart.set(idx, op.apply(entry.getDoubleValue(), v2Values[idx + base]));
}
} else {
// sorted
if (op.isKeepStorage()) {
int[] resPartIndices = resPart.getIndices();
double[] resPartValues = resPart.getValues();
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int j = 0; j < partIndices.length; j++) {
int idx = partIndices[j];
resPartIndices[j] = idx;
resPartValues[j] = op.apply(partValues[j], v2Values[idx + base]);
}
} else {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int j = 0; j < partIndices.length; j++) {
int idx = partIndices[j];
resPart.set(idx, op.apply(partValues[j], v2Values[idx + base]));
}
}
}
base += part.getDim();
}
} else if (v2.isSparse()) {
ObjectIterator<Int2LongMap.Entry> iter = v2.getStorage().entryIterator();
if (v1.size() > v2.size()) {
int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
while (iter.hasNext()) {
Int2LongMap.Entry entry = iter.next();
int idx = entry.getIntKey();
int pidx = (int) (idx / subDim);
int subidx = idx % subDim;
if (parts[pidx].hasKey(subidx)) {
((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getLongValue()));
}
}
} else {
int base = 0;
for (int i = 0; i < parts.length; i++) {
IntDoubleVector part = parts[i];
IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[i];
if (part.isDense()) {
double[] partValues = part.getStorage().getValues();
double[] resPartValues = resPart.getValues();
for (int j = 0; j < partValues.length; j++) {
if (v2.hasKey(j + base)) {
resPartValues[j] = op.apply(partValues[j], v2.get(j + base));
}
}
} else if (part.isSparse()) {
ObjectIterator<Int2DoubleMap.Entry> piter = part.getStorage().entryIterator();
while (piter.hasNext()) {
Int2DoubleMap.Entry entry = piter.next();
int idx = entry.getIntKey();
if (v2.hasKey(idx + base)) {
resPart.set(idx, op.apply(entry.getDoubleValue(), v2.get(idx + base)));
}
}
} else {
// sorted
if (op.isKeepStorage()) {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
int[] resPartIndices = resPart.getIndices();
double[] resPartValues = resPart.getValues();
for (int j = 0; j < partIndices.length; j++) {
int idx = partIndices[j];
if (v2.hasKey(idx + base)) {
resPartIndices[j] = idx;
resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
}
}
} else {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int j = 0; j < partIndices.length; j++) {
int idx = partIndices[j];
if (v2.hasKey(idx + base)) {
resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
}
}
}
}
base += part.getDim();
}
}
} else {
// sorted
if (v1.size() > v2.size()) {
int subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
int[] v2Indices = v2.getStorage().getIndices();
long[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < v2Indices.length; i++) {
int idx = v2Indices[i];
int pidx = (int) (idx / subDim);
int subidx = idx % subDim;
if (parts[pidx].hasKey(subidx)) {
((IntDoubleVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
}
}
} else {
int base = 0;
for (int i = 0; i < parts.length; i++) {
IntDoubleVector part = parts[i];
IntDoubleVectorStorage resPart = (IntDoubleVectorStorage) resParts[i];
if (part.isDense()) {
double[] partValues = part.getStorage().getValues();
double[] resPartValues = resPart.getValues();
for (int j = 0; j < partValues.length; j++) {
if (v2.hasKey(j + base)) {
resPartValues[j] = op.apply(partValues[j], v2.get(j + base));
}
}
} else if (part.isSparse()) {
ObjectIterator<Int2DoubleMap.Entry> piter = part.getStorage().entryIterator();
while (piter.hasNext()) {
Int2DoubleMap.Entry entry = piter.next();
int idx = entry.getIntKey();
if (v2.hasKey(idx + base)) {
resPart.set(idx, op.apply(entry.getDoubleValue(), v2.get(idx + base)));
}
}
} else {
// sorted
if (op.isKeepStorage()) {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
int[] resPartIndices = resPart.getIndices();
double[] resPartValues = resPart.getValues();
for (int j = 0; j < partIndices.length; j++) {
int idx = partIndices[j];
if (v2.hasKey(idx + base)) {
resPartIndices[j] = idx;
resPartValues[j] = op.apply(partValues[j], v2.get(idx + base));
}
}
} else {
int[] partIndices = part.getStorage().getIndices();
double[] partValues = part.getStorage().getValues();
for (int j = 0; j < partIndices.length; j++) {
int idx = partIndices[j];
if (v2.hasKey(idx + base)) {
resPart.set(idx, op.apply(partValues[j], v2.get(idx + base)));
}
}
}
}
base += part.getDim();
}
}
}
IntDoubleVector[] res = new IntDoubleVector[parts.length];
int i = 0;
for (IntDoubleVector part : parts) {
res[i] = new IntDoubleVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (IntDoubleVectorStorage) resParts[i]);
i++;
}
return new CompIntDoubleVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
Also used :
Int2DoubleMap(it.unimi.dsi.fastutil.ints.Int2DoubleMap)
CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)
IntDoubleVector(com.tencent.angel.ml.math2.vector.IntDoubleVector)
ObjectIterator(it.unimi.dsi.fastutil.objects.ObjectIterator)
IntIntVectorStorage(com.tencent.angel.ml.math2.storage.IntIntVectorStorage)
Storage(com.tencent.angel.ml.math2.storage.Storage)
LongIntVectorStorage(com.tencent.angel.ml.math2.storage.LongIntVectorStorage)
IntFloatVectorStorage(com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)
LongDoubleVectorStorage(com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
LongLongVectorStorage(com.tencent.angel.ml.math2.storage.LongLongVectorStorage)
LongFloatVectorStorage(com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)
IntLongVectorStorage(com.tencent.angel.ml.math2.storage.IntLongVectorStorage)
IntDoubleVectorStorage(com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)
Int2LongMap(it.unimi.dsi.fastutil.ints.Int2LongMap)
CompIntDoubleVector(com.tencent.angel.ml.math2.vector.CompIntDoubleVector)
Aggregations
IntDoubleVector (com.tencent.angel.ml.math2.vector.IntDoubleVector)95
ObjectIterator (it.unimi.dsi.fastutil.objects.ObjectIterator)55
IntDoubleVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleVectorStorage)51
Int2DoubleMap (it.unimi.dsi.fastutil.ints.Int2DoubleMap)51
CompIntDoubleVector (com.tencent.angel.ml.math2.vector.CompIntDoubleVector)40
IntDoubleSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSparseVectorStorage)32
IntFloatVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatVectorStorage)32
IntIntVectorStorage (com.tencent.angel.ml.math2.storage.IntIntVectorStorage)32
IntLongVectorStorage (com.tencent.angel.ml.math2.storage.IntLongVectorStorage)32
LongDoubleVectorStorage (com.tencent.angel.ml.math2.storage.LongDoubleVectorStorage)30
LongFloatVectorStorage (com.tencent.angel.ml.math2.storage.LongFloatVectorStorage)30
LongIntVectorStorage (com.tencent.angel.ml.math2.storage.LongIntVectorStorage)30
LongLongVectorStorage (com.tencent.angel.ml.math2.storage.LongLongVectorStorage)30
Storage (com.tencent.angel.ml.math2.storage.Storage)30
IntDoubleSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleSortedVectorStorage)26
IntDoubleDenseVectorStorage (com.tencent.angel.ml.math2.storage.IntDoubleDenseVectorStorage)23
IntFloatSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSortedVectorStorage)20
IntFloatSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntFloatSparseVectorStorage)20
IntIntSortedVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSortedVectorStorage)20
IntIntSparseVectorStorage (com.tencent.angel.ml.math2.storage.IntIntSparseVectorStorage)20
