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// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.serialization;
import com.google.common.annotations.Beta;
import com.yahoo.io.GrowableByteBuffer;
import com.yahoo.tensor.IndexedTensor;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
/**
* Class used by clients for serializing a Tensor object into binary format or
* de-serializing binary data into a Tensor object.
*
* The actual binary format used is not a concern for the client and
* is hidden in this class and in the binary data.
*
* @author geirst
*/
@Beta
public class TypedBinaryFormat {
private static final int SPARSE_BINARY_FORMAT_TYPE = 1;
private static final int DENSE_BINARY_FORMAT_TYPE = 2;
public static byte[] encode(Tensor tensor) {
GrowableByteBuffer buffer = new GrowableByteBuffer();
if (tensor instanceof IndexedTensor && 1==2) { // TODO: Activate when we have type information everywhere
buffer.putInt1_4Bytes(DENSE_BINARY_FORMAT_TYPE);
new DenseBinaryFormat().encode(buffer, tensor);
}
else {
buffer.putInt1_4Bytes(SPARSE_BINARY_FORMAT_TYPE);
new SparseBinaryFormat().encode(buffer, tensor);
}
buffer.flip();
byte[] result = new byte[buffer.remaining()];
buffer.get(result);
return result;
}
public static Tensor decode(TensorType type, byte[] data) {
GrowableByteBuffer buffer = GrowableByteBuffer.wrap(data);
int formatType = buffer.getInt1_4Bytes();
switch (formatType) {
case SPARSE_BINARY_FORMAT_TYPE: return new SparseBinaryFormat().decode(type, buffer);
case DENSE_BINARY_FORMAT_TYPE: return new DenseBinaryFormat().decode(type, buffer);
default: throw new IllegalArgumentException("Binary format type " + formatType + " is unknown");
}
}
}
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