use of com.tencent.angel.ml.math2.vector.LongIntVector in project angel by Tencent.
the class StreamSerdeUtils method serializeLongIntVectors.
// LongFloatVector array
public static void serializeLongIntVectors(DataOutputStream out, LongIntVector[] vectors) throws IOException {
int start = 0;
int end = vectors.length;
serializeInt(out, end - start);
for (int i = start; i < end; i++) {
LongIntVector vector = vectors[i];
serializeInt(out, vector.getRowId());
serializeLong(out, vector.dim());
// serializeInt(out, vector.getType().getNumber()); // no need to record type
serializeLongIntVector(out, vectors[i]);
}
}
use of com.tencent.angel.ml.math2.vector.LongIntVector in project angel by Tencent.
the class StreamSerdeUtils method serializedLongIntVectorLen.
public static int serializedLongIntVectorLen(LongIntVector vector) {
int len = 0;
LongIntVectorStorage storage = vector.getStorage();
if (storage.isSparse()) {
len += serializedIntLen(SPARSE_STORAGE_TYPE);
len += serializedIntLen(storage.size());
len += storage.size() * (INT_LENGTH + FLOAT_LENGTH);
} else if (storage.isSorted()) {
len += serializedIntLen(SORTED_STORAGE_TYPE);
len += serializedLongsLen(vector.getStorage().getIndices());
len += serializedIntsLen(vector.getStorage().getValues());
} else {
throw new UnsupportedOperationException("Unsupport storage type " + vector.getStorage().getClass());
}
return len;
}
use of com.tencent.angel.ml.math2.vector.LongIntVector in project angel by Tencent.
the class StreamSerdeUtils method serializeLongIntVector.
// LongFloatVector
private static void serializeLongIntVector(DataOutputStream out, LongIntVector vector) throws IOException {
LongIntVectorStorage storage = vector.getStorage();
if (storage.isSparse()) {
serializeInt(out, SPARSE_STORAGE_TYPE);
serializeInt(out, storage.size());
ObjectIterator<Long2IntMap.Entry> iter = storage.entryIterator();
while (iter.hasNext()) {
Long2IntMap.Entry e = iter.next();
serializeLong(out, e.getLongKey());
serializeFloat(out, e.getIntValue());
}
} else if (storage.isSorted()) {
serializeInt(out, SORTED_STORAGE_TYPE);
long[] indices = vector.getStorage().getIndices();
int[] values = vector.getStorage().getValues();
serializeLongs(out, indices);
serializeInts(out, values);
} else {
throw new UnsupportedOperationException("Unsupport storage type " + vector.getStorage().getClass());
}
}
use of com.tencent.angel.ml.math2.vector.LongIntVector in project angel by Tencent.
the class MixedBinaryInNonZAExecutor method apply.
private static Vector apply(CompLongLongVector v1, LongIntVector v2, Binary op) {
LongLongVector[] parts = v1.getPartitions();
Storage[] resParts = StorageSwitch.applyComp(v1, v2, op);
if (v2.isSparse()) {
if (!op.isKeepStorage()) {
for (int i = 0; i < parts.length; i++) {
if (parts[i].getStorage() instanceof LongLongSortedVectorStorage) {
resParts[i] = new LongLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
}
}
}
long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
ObjectIterator<Long2IntMap.Entry> iter = v2.getStorage().entryIterator();
while (iter.hasNext()) {
Long2IntMap.Entry entry = iter.next();
long gidx = entry.getLongKey();
int pidx = (int) (gidx / subDim);
long subidx = gidx % subDim;
((LongLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), entry.getIntValue()));
}
} else {
// sorted
if (!op.isKeepStorage()) {
for (int i = 0; i < parts.length; i++) {
if (parts[i].getStorage() instanceof LongLongSortedVectorStorage) {
resParts[i] = new LongLongSparseVectorStorage(parts[i].getDim(), parts[i].getStorage().getIndices(), parts[i].getStorage().getValues());
}
}
}
long subDim = (v1.getDim() + v1.getNumPartitions() - 1) / v1.getNumPartitions();
long[] v2Indices = v2.getStorage().getIndices();
int[] v2Values = v2.getStorage().getValues();
for (int i = 0; i < v2Indices.length; i++) {
long gidx = v2Indices[i];
int pidx = (int) (gidx / subDim);
long subidx = gidx % subDim;
((LongLongVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), v2Values[i]));
}
}
LongLongVector[] res = new LongLongVector[parts.length];
int i = 0;
for (LongLongVector part : parts) {
res[i] = new LongLongVector(part.getMatrixId(), part.getRowId(), part.getClock(), part.getDim(), (LongLongVectorStorage) resParts[i]);
i++;
}
v1.setPartitions(res);
return v1;
}
use of com.tencent.angel.ml.math2.vector.LongIntVector in project angel by Tencent.
the class MixedBinaryInNonZAExecutor 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();
long[] v2Indices = v2.getIndices();
for (int i = 0; i < v2Indices.length; i++) {
long gidx = v2Indices[i];
int pidx = (int) (gidx / subDim);
long subidx = gidx % subDim;
((LongIntVectorStorage) resParts[pidx]).set(subidx, op.apply(parts[pidx].get(subidx), 1));
}
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++;
}
v1.setPartitions(res);
return v1;
}
Aggregations