Examples with CompressionDescriptor org.nd4j.linalg.compression.CompressionDescriptor used on opensource projects

Example 6 with CompressionDescriptor

use of org.nd4j.linalg.compression.CompressionDescriptor in project nd4j by deeplearning4j.

the class Uint8 method compressPointer.

@Override
protected CompressedDataBuffer compressPointer(DataBuffer.TypeEx srcType, Pointer srcPointer, int length, int elementSize) {
    BytePointer ptr = new BytePointer(length);
    CompressionDescriptor descriptor = new CompressionDescriptor();
    descriptor.setCompressedLength(length * 1);
    descriptor.setOriginalLength(length * elementSize);
    descriptor.setOriginalElementSize(elementSize);
    descriptor.setNumberOfElements(length);
    descriptor.setCompressionAlgorithm(getDescriptor());
    descriptor.setCompressionType(getCompressionType());
    CompressedDataBuffer buffer = new CompressedDataBuffer(ptr, descriptor);
    Nd4j.getNDArrayFactory().convertDataEx(srcType, srcPointer, DataBuffer.TypeEx.UINT8, ptr, length);
    return buffer;
}

Example 7 with CompressionDescriptor

use of org.nd4j.linalg.compression.CompressionDescriptor in project nd4j by deeplearning4j.

the class BinarySerde method toArrayAndByteBuffer.

/**
 * Create an ndarray and existing bytebuffer
 * @param buffer
 * @param offset
 * @return
 */
public static Pair<INDArray, ByteBuffer> toArrayAndByteBuffer(ByteBuffer buffer, int offset) {
    ByteBuffer byteBuffer = buffer == null ? ByteBuffer.allocateDirect(buffer.array().length).put(buffer.array()).order(ByteOrder.nativeOrder()) : buffer.order(ByteOrder.nativeOrder());
    // bump the byte buffer to the proper position
    byteBuffer.position(offset);
    int rank = byteBuffer.getInt();
    if (rank < 0)
        throw new IllegalStateException("Found negative integer. Corrupt serialization?");
    // get the shape buffer length to create the shape information buffer
    int shapeBufferLength = Shape.shapeInfoLength(rank);
    // create the ndarray shape information
    DataBuffer shapeBuff = Nd4j.createBufferDetached(new int[shapeBufferLength]);
    // compute the databuffer opType from the index
    DataBuffer.Type type = DataBuffer.Type.values()[byteBuffer.getInt()];
    for (int i = 0; i < shapeBufferLength; i++) {
        shapeBuff.put(i, byteBuffer.getInt());
    }
    // after the rank,data opType, shape buffer (of length shape buffer length) * sizeof(int)
    if (type != DataBuffer.Type.COMPRESSED) {
        ByteBuffer slice = byteBuffer.slice();
        // wrap the data buffer for the last bit
        DataBuffer buff = Nd4j.createBuffer(slice, type, Shape.length(shapeBuff));
        // advance past the data
        int position = byteBuffer.position() + (buff.getElementSize() * (int) buff.length());
        byteBuffer.position(position);
        // create the final array
        // TODO: see how to avoid dup here
        INDArray arr = Nd4j.createArrayFromShapeBuffer(buff.dup(), shapeBuff.dup());
        return Pair.of(arr, byteBuffer);
    } else {
        CompressionDescriptor compressionDescriptor = CompressionDescriptor.fromByteBuffer(byteBuffer);
        ByteBuffer slice = byteBuffer.slice();
        // ensure that we only deal with the slice of the buffer that is actually the data
        BytePointer byteBufferPointer = new BytePointer(slice);
        // create a compressed array based on the rest of the data left in the buffer
        CompressedDataBuffer compressedDataBuffer = new CompressedDataBuffer(byteBufferPointer, compressionDescriptor);
        // TODO: see how to avoid dup()
        INDArray arr = Nd4j.createArrayFromShapeBuffer(compressedDataBuffer.dup(), shapeBuff.dup());
        // advance past the data
        int compressLength = (int) compressionDescriptor.getCompressedLength();
        byteBuffer.position(byteBuffer.position() + compressLength);
        return Pair.of(arr, byteBuffer);
    }
}

Example 8 with CompressionDescriptor

use of org.nd4j.linalg.compression.CompressionDescriptor in project nd4j by deeplearning4j.

the class BinarySerde method byteBufferSizeFor.

/**
 * Returns the byte buffer size for the given
 * ndarray. This is an auxillary method
 * for determining the size of the buffer
 * size to allocate for sending an ndarray via
 * the aeron media driver.
 *
 * The math break down for uncompressed is:
 * 2 ints for rank of the array and an ordinal representing the data opType of the data buffer
 * The rest is in order:
 * shape information
 * data buffer
 *
 * The math break down for compressed is:
 * 2 ints for rank and an ordinal representing the data opType for the data buffer
 *
 * The rest is in order:
 * shape information
 * codec information
 * data buffer
 *
 * @param arr the array to compute the size for
 * @return the size of the byte buffer that was allocated
 */
public static int byteBufferSizeFor(INDArray arr) {
    if (!arr.isCompressed()) {
        ByteBuffer buffer = arr.data().pointer().asByteBuffer().order(ByteOrder.nativeOrder());
        ByteBuffer shapeBuffer = arr.shapeInfoDataBuffer().pointer().asByteBuffer().order(ByteOrder.nativeOrder());
        // 2 four byte ints at the beginning
        int twoInts = 8;
        return twoInts + buffer.limit() + shapeBuffer.limit();
    } else {
        CompressedDataBuffer compressedDataBuffer = (CompressedDataBuffer) arr.data();
        CompressionDescriptor descriptor = compressedDataBuffer.getCompressionDescriptor();
        ByteBuffer codecByteBuffer = descriptor.toByteBuffer();
        ByteBuffer buffer = arr.data().pointer().asByteBuffer().order(ByteOrder.nativeOrder());
        ByteBuffer shapeBuffer = arr.shapeInfoDataBuffer().pointer().asByteBuffer().order(ByteOrder.nativeOrder());
        int twoInts = 2 * 4;
        return twoInts + buffer.limit() + shapeBuffer.limit() + codecByteBuffer.limit();
    }
}

Example 9 with CompressionDescriptor

use of org.nd4j.linalg.compression.CompressionDescriptor in project nd4j by deeplearning4j.

the class JCublasNDArrayFactory method convertDataEx.

@Override
public DataBuffer convertDataEx(DataBuffer.TypeEx typeSrc, DataBuffer source, DataBuffer.TypeEx typeDst) {
    int elementSize = 0;
    if (typeDst.ordinal() <= 2)
        elementSize = 1;
    else if (typeDst.ordinal() <= 5)
        elementSize = 2;
    else if (typeDst.ordinal() == 6)
        elementSize = 4;
    else if (typeDst.ordinal() == 7)
        elementSize = 8;
    else
        throw new UnsupportedOperationException("Unknown target TypeEx: " + typeDst.name());
    // flushQueue should be blocking here, because typeConversion happens on cpu side
    Nd4j.getExecutioner().commit();
    DataBuffer buffer = null;
    if (!(source instanceof CompressedDataBuffer))
        AtomicAllocator.getInstance().synchronizeHostData(source);
    if (CompressionUtils.goingToCompress(typeSrc, typeDst)) {
        // all types below 8 are compression modes
        BytePointer pointer = new BytePointer(source.length() * elementSize);
        CompressionDescriptor descriptor = new CompressionDescriptor(source, typeDst.name());
        descriptor.setCompressionType(CompressionType.LOSSY);
        descriptor.setCompressedLength(source.length() * elementSize);
        buffer = new CompressedDataBuffer(pointer, descriptor);
    } else {
        CompressedDataBuffer compressed = (CompressedDataBuffer) source;
        CompressionDescriptor descriptor = compressed.getCompressionDescriptor();
        // decompression mode
        buffer = Nd4j.createBuffer(descriptor.getNumberOfElements(), false);
        AllocationPoint point = AtomicAllocator.getInstance().getAllocationPoint(buffer);
        point.tickHostWrite();
    }
    convertDataEx(typeSrc, source, typeDst, buffer);
    return buffer;
}

Example 10 with CompressionDescriptor

use of org.nd4j.linalg.compression.CompressionDescriptor in project nd4j by deeplearning4j.

the class CpuNDArrayFactory method convertDataEx.

@Override
public DataBuffer convertDataEx(DataBuffer.TypeEx typeSrc, DataBuffer source, DataBuffer.TypeEx typeDst) {
    int elementSize = 0;
    if (typeDst.ordinal() <= 2)
        elementSize = 1;
    else if (typeDst.ordinal() <= 5)
        elementSize = 2;
    else if (typeDst.ordinal() == 6)
        elementSize = 4;
    else if (typeDst.ordinal() == 7)
        elementSize = 8;
    else
        throw new UnsupportedOperationException("Unknown target TypeEx: " + typeDst.name());
    DataBuffer buffer = null;
    if (CompressionUtils.goingToCompress(typeSrc, typeDst)) {
        // all types below 6 are compression modes
        BytePointer pointer = new BytePointer(source.length() * elementSize);
        CompressionDescriptor descriptor = new CompressionDescriptor(source, typeDst.name());
        descriptor.setCompressionType(CompressionType.LOSSY);
        descriptor.setCompressedLength(source.length() * elementSize);
        buffer = new CompressedDataBuffer(pointer, descriptor);
    } else {
        CompressedDataBuffer compressed = (CompressedDataBuffer) source;
        CompressionDescriptor descriptor = compressed.getCompressionDescriptor();
        // decompression mode
        buffer = Nd4j.createBuffer(descriptor.getNumberOfElements(), true);
    }
    convertDataEx(typeSrc, source, typeDst, buffer);
    return buffer;
}