use of com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage in project angel by Tencent.
the class MixedBinaryOutAllExecutor method apply.
private static Vector apply(CompLongIntVector v1, LongDummyVector v2, Binary op) {
LongIntVector[] parts = v1.getPartitions();
Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
if (!op.isKeepStorage()) {
for (int i = 0; i < parts.length; i++) {
if (parts[i].getStorage() instanceof LongIntSortedVectorStorage) {
resParts[i] = new LongIntSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
}
}
}
long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
for (int i = 0; i < v1.getDim(); i++) {
int pidx = (int) (i / subDim);
long subidx = i % subDim;
((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2.get(i)));
}
LongIntVector[] res = new LongIntVector[parts.length];
int i = 0;
for (LongIntVector part : parts) {
res[i] = new LongIntVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongIntVectorStorage) resParts[i]);
i++;
}
return new CompLongIntVector(v1.getMatrixId(), v1.getRowId(), v1.getClock(), v1.getDim(), res, v1.getSubDim());
}
use of com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage in project angel by Tencent.
the class ByteBufSerdeUtils method deserializeLongIntVector.
private static LongIntVector deserializeLongIntVector(ByteBuf in, long dim) {
int storageType = deserializeInt(in);
switch(storageType) {
case SPARSE_STORAGE_TYPE:
int len = deserializeInt(in);
Long2IntOpenHashMap idToValueMap = new Long2IntOpenHashMap(len);
for (int i = 0; i < len; i++) {
idToValueMap.put(deserializeInt(in), deserializeInt(in));
}
return new LongIntVector((int) dim, new LongIntSparseVectorStorage((int) dim, idToValueMap));
case SORTED_STORAGE_TYPE:
return VFactory.sortedLongKeyIntVector((int) dim, deserializeLongs(in), deserializeInts(in));
default:
throw new UnsupportedOperationException("Unsupport storage type " + storageType);
}
}
use of com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage in project angel by Tencent.
the class CompLongIntRowUpdateSplit method serialize.
@Override
public void serialize(ByteBuf buf) {
super.serialize(buf);
LongIntVectorStorage storage = split.getStorage();
buf.writeInt(storage.size());
if (storage instanceof LongIntSparseVectorStorage) {
ObjectIterator<Long2IntMap.Entry> iter = storage.entryIterator();
Long2IntMap.Entry entry;
while (iter.hasNext()) {
entry = iter.next();
buf.writeLong(entry.getLongKey());
buf.writeInt(entry.getIntValue());
}
} else if (storage instanceof LongIntSortedVectorStorage) {
long[] indices = storage.getIndices();
int[] values = storage.getValues();
for (int i = 0; i < indices.length; i++) {
buf.writeLong(indices[i]);
buf.writeInt(values[i]);
}
} else {
throw new UnsupportedOperationException("unsupport split for storage " + storage.getClass().getName());
}
}
use of com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage in project angel by Tencent.
the class RangeRouterUtils method splitLongIntVector.
public static KeyValuePart[] splitLongIntVector(MatrixMeta matrixMeta, LongIntVector vector) {
LongIntVectorStorage storage = vector.getStorage();
if (storage.isSparse()) {
// Get keys and values
LongIntSparseVectorStorage sparseStorage = (LongIntSparseVectorStorage) storage;
long[] keys = sparseStorage.getIndices();
int[] values = sparseStorage.getValues();
return split(matrixMeta, vector.getRowId(), keys, values, false);
} else {
// Key and value array pair
LongIntSortedVectorStorage sortStorage = (LongIntSortedVectorStorage) storage;
long[] keys = sortStorage.getIndices();
int[] values = sortStorage.getValues();
return split(matrixMeta, vector.getRowId(), keys, values, true);
}
}
use of com.tencent.angel.ml.math2.storage.LongIntSparseVectorStorage in project angel by Tencent.
the class HashRouterUtils method splitLongIntVector.
public static void splitLongIntVector(KeyHash hasher, MatrixMeta matrixMeta, LongIntVector vector, KeyValuePart[] dataParts) {
int dataPartNum = dataParts.length;
int dataPartNumMinus1 = dataPartNum - 1;
if (isPow2(dataPartNum)) {
LongIntVectorStorage storage = vector.getStorage();
if (storage.isSparse()) {
// Use iterator
LongIntSparseVectorStorage sparseStorage = (LongIntSparseVectorStorage) storage;
ObjectIterator<Long2IntMap.Entry> iter = sparseStorage.entryIterator();
while (iter.hasNext()) {
Long2IntMap.Entry keyValue = iter.next();
int partId = computeHashCode(hasher, keyValue.getLongKey()) & dataPartNumMinus1;
((HashLongKeysIntValuesPart) dataParts[partId]).add(keyValue.getLongKey(), keyValue.getIntValue());
}
} else {
// Key and value array pair
LongIntSortedVectorStorage sortStorage = (LongIntSortedVectorStorage) storage;
long[] keys = sortStorage.getIndices();
int[] values = sortStorage.getValues();
for (int i = 0; i < keys.length; i++) {
int partId = computeHashCode(hasher, keys[i]) & dataPartNumMinus1;
((HashLongKeysIntValuesPart) dataParts[partId]).add(keys[i], values[i]);
}
}
} else {
LongIntVectorStorage storage = vector.getStorage();
if (storage.isSparse()) {
// Use iterator
LongIntSparseVectorStorage sparseStorage = (LongIntSparseVectorStorage) storage;
ObjectIterator<Long2IntMap.Entry> iter = sparseStorage.entryIterator();
while (iter.hasNext()) {
Long2IntMap.Entry keyValue = iter.next();
int partId = computeHashCode(hasher, keyValue.getLongKey()) % dataPartNum;
((HashLongKeysIntValuesPart) dataParts[partId]).add(keyValue.getLongKey(), keyValue.getIntValue());
}
} else {
// Key and value array pair
LongIntSortedVectorStorage sortStorage = (LongIntSortedVectorStorage) storage;
long[] keys = sortStorage.getIndices();
int[] values = sortStorage.getValues();
for (int i = 0; i < keys.length; i++) {
int partId = computeHashCode(hasher, keys[i]) % dataPartNum;
((HashLongKeysIntValuesPart) dataParts[partId]).add(keys[i], values[i]);
}
}
}
}
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