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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.serialization;
import com.yahoo.io.GrowableByteBuffer;
import com.yahoo.tensor.IndexedTensor;
import com.yahoo.tensor.MixedTensor;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import java.util.Optional;
/**
* 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
*/
public class TypedBinaryFormat {
private static final int SPARSE_BINARY_FORMAT_TYPE = 1;
private static final int DENSE_BINARY_FORMAT_TYPE = 2;
private static final int MIXED_BINARY_FORMAT_TYPE = 3;
private static final int SPARSE_BINARY_FORMAT_WITH_CELLTYPE = 5;
private static final int DENSE_BINARY_FORMAT_WITH_CELLTYPE = 6;
private static final int MIXED_BINARY_FORMAT_WITH_CELLTYPE = 7;
private static final int DOUBLE_VALUE_TYPE = 0; // Not encoded as it is default, and you know the type when deserializing
private static final int FLOAT_VALUE_TYPE = 1;
public static byte[] encode(Tensor tensor) {
GrowableByteBuffer buffer = new GrowableByteBuffer();
BinaryFormat encoder = getFormatEncoder(buffer, tensor);
encoder.encode(buffer, tensor);
return asByteArray(buffer);
}
/**
* Decode some data to a tensor
*
* @param type the type to decode and validate to, or empty to use the type given in the data
* @param buffer the buffer containing the data, use GrowableByteByffer.wrap(byte[]) if you have a byte array
* @return the resulting tensor
* @throws IllegalArgumentException if the tensor data was invalid
*/
public static Tensor decode(Optional<TensorType> type, GrowableByteBuffer buffer) {
BinaryFormat decoder = getFormatDecoder(buffer);
return decoder.decode(type, buffer);
}
private static BinaryFormat getFormatEncoder(GrowableByteBuffer buffer, Tensor tensor) {
if (tensor instanceof MixedTensor && tensor.type().valueType() == TensorType.Value.DOUBLE) {
encodeFormatType(buffer, MIXED_BINARY_FORMAT_TYPE);
return new MixedBinaryFormat();
}
if (tensor instanceof MixedTensor) {
encodeFormatType(buffer, MIXED_BINARY_FORMAT_WITH_CELLTYPE);
encodeValueType(buffer, tensor.type().valueType());
return new MixedBinaryFormat(tensor.type().valueType());
}
if (tensor instanceof IndexedTensor && tensor.type().valueType() == TensorType.Value.DOUBLE) {
encodeFormatType(buffer, DENSE_BINARY_FORMAT_TYPE);
return new DenseBinaryFormat();
}
if (tensor instanceof IndexedTensor) {
encodeFormatType(buffer, DENSE_BINARY_FORMAT_WITH_CELLTYPE);
encodeValueType(buffer, tensor.type().valueType());
return new DenseBinaryFormat(tensor.type().valueType());
}
if (tensor.type().valueType() == TensorType.Value.DOUBLE) {
encodeFormatType(buffer, SPARSE_BINARY_FORMAT_TYPE);
return new SparseBinaryFormat();
}
encodeFormatType(buffer, SPARSE_BINARY_FORMAT_WITH_CELLTYPE);
encodeValueType(buffer, tensor.type().valueType());
return new SparseBinaryFormat(tensor.type().valueType());
}
private static BinaryFormat getFormatDecoder(GrowableByteBuffer buffer) {
int formatType = decodeFormatType(buffer);
switch (formatType) {
case SPARSE_BINARY_FORMAT_TYPE: return new SparseBinaryFormat();
case DENSE_BINARY_FORMAT_TYPE: return new DenseBinaryFormat();
case MIXED_BINARY_FORMAT_TYPE: return new MixedBinaryFormat();
case SPARSE_BINARY_FORMAT_WITH_CELLTYPE: return new SparseBinaryFormat(decodeValueType(buffer));
case DENSE_BINARY_FORMAT_WITH_CELLTYPE: return new DenseBinaryFormat(decodeValueType(buffer));
case MIXED_BINARY_FORMAT_WITH_CELLTYPE: return new MixedBinaryFormat(decodeValueType(buffer));
}
throw new IllegalArgumentException("Binary format type " + formatType + " is unknown");
}
private static void encodeFormatType(GrowableByteBuffer buffer, int formatType) {
buffer.putInt1_4Bytes(formatType);
}
private static int decodeFormatType(GrowableByteBuffer buffer) {
return buffer.getInt1_4Bytes();
}
private static void encodeValueType(GrowableByteBuffer buffer, TensorType.Value valueType) {
switch (valueType) {
case DOUBLE: buffer.putInt1_4Bytes(DOUBLE_VALUE_TYPE); break;
case FLOAT: buffer.putInt1_4Bytes(FLOAT_VALUE_TYPE); break;
default:
throw new IllegalArgumentException("Attempt to encode unknown tensor value type: " + valueType);
}
}
private static TensorType.Value decodeValueType(GrowableByteBuffer buffer) {
int valueType = buffer.getInt1_4Bytes();
switch (valueType) {
case DOUBLE_VALUE_TYPE: return TensorType.Value.DOUBLE;
case FLOAT_VALUE_TYPE: return TensorType.Value.FLOAT;
}
throw new IllegalArgumentException("Received tensor value type '" + valueType + "'. Only 0(double), or 1(float) are legal.");
}
private static byte[] asByteArray(GrowableByteBuffer buffer) {
buffer.flip();
byte[] result = new byte[buffer.remaining()];
buffer.get(result);
return result;
}
}
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