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// Copyright 2018 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.lang.MutableInteger;
import com.yahoo.slime.ArrayTraverser;
import com.yahoo.slime.Cursor;
import com.yahoo.slime.Inspector;
import com.yahoo.slime.JsonDecoder;
import com.yahoo.slime.ObjectTraverser;
import com.yahoo.slime.Slime;
import com.yahoo.slime.Type;
import com.yahoo.tensor.IndexedTensor;
import com.yahoo.tensor.MixedTensor;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorAddress;
import com.yahoo.tensor.TensorType;
import java.util.Iterator;
/**
* Writes tensors on the JSON format used in Vespa tensor document fields:
* A JSON map containing a 'cells' or 'values' array.
* See <a href="https://docs.vespa.ai/en/reference/document-json-format.html">
* https://docs.vespa.ai/en/reference/document-json-format.html</a>
*
* @author bratseth
*/
public class JsonFormat {
/** Serializes the given tensor value into JSON format */
public static byte[] encode(Tensor tensor) {
Slime slime = new Slime();
Cursor root = slime.setObject();
encodeCells(tensor, root);
return com.yahoo.slime.JsonFormat.toJsonBytes(slime);
}
/** Serializes the given tensor type and value into JSON format */
public static byte[] encodeWithType(Tensor tensor) {
Slime slime = new Slime();
Cursor root = slime.setObject();
root.setString("type", tensor.type().toString());
encodeCells(tensor, root);
return com.yahoo.slime.JsonFormat.toJsonBytes(slime);
}
private static void encodeCells(Tensor tensor, Cursor rootObject) {
Cursor cellsArray = rootObject.setArray("cells");
for (Iterator<Tensor.Cell> i = tensor.cellIterator(); i.hasNext(); ) {
Tensor.Cell cell = i.next();
Cursor cellObject = cellsArray.addObject();
encodeAddress(tensor.type(), cell.getKey(), cellObject.setObject("address"));
cellObject.setDouble("value", cell.getValue());
}
}
private static void encodeAddress(TensorType type, TensorAddress address, Cursor addressObject) {
for (int i = 0; i < address.size(); i++)
addressObject.setString(type.dimensions().get(i).name(), address.label(i));
}
/** Deserializes the given tensor from JSON format */
// NOTE: This must be kept in sync with com.yahoo.document.json.readers.TensorReader in the document module
public static Tensor decode(TensorType type, byte[] jsonTensorValue) {
Tensor.Builder builder = Tensor.Builder.of(type);
Inspector root = new JsonDecoder().decode(new Slime(), jsonTensorValue).get();
if (root.field("cells").valid())
decodeCells(root.field("cells"), builder);
else if (root.field("values").valid())
decodeValues(root.field("values"), builder);
else if (root.field("blocks").valid())
decodeBlocks(root.field("blocks"), builder);
else if (builder.type().dimensions().stream().anyMatch(d -> d.isIndexed())) // sparse can be empty
throw new IllegalArgumentException("Expected a tensor value to contain either 'cells' or 'values'");
return builder.build();
}
private static void decodeCells(Inspector cells, Tensor.Builder builder) {
if ( cells.type() == Type.ARRAY)
cells.traverse((ArrayTraverser) (__, cell) -> decodeCell(cell, builder));
else if (cells.type() == Type.OBJECT)
cells.traverse((ObjectTraverser) (key, value) -> decodeSingleDimensionCell(key, value, builder));
else
throw new IllegalArgumentException("Excepted 'cells' to contain an array or obejct, not " + cells.type());
}
private static void decodeCell(Inspector cell, Tensor.Builder builder) {
TensorAddress address = decodeAddress(cell.field("address"), builder.type());
Inspector value = cell.field("value");
if (value.type() != Type.LONG && value.type() != Type.DOUBLE)
throw new IllegalArgumentException("Excepted a cell to contain a numeric value called 'value'");
builder.cell(address, value.asDouble());
}
private static void decodeSingleDimensionCell(String key, Inspector value, Tensor.Builder builder) {
builder.cell(asAddress(key, builder.type()), decodeNumeric(value));
}
private static void decodeValues(Inspector values, Tensor.Builder builder) {
if ( ! (builder instanceof IndexedTensor.BoundBuilder))
throw new IllegalArgumentException("The 'values' field can only be used with dense tensors. " +
"Use 'cells' or 'blocks' instead");
IndexedTensor.BoundBuilder indexedBuilder = (IndexedTensor.BoundBuilder)builder;
if (values.type() == Type.STRING) {
double[] decoded = decodeHexString(values.asString(), builder.type().valueType());
for (int i = 0; i < decoded.length; i++) {
indexedBuilder.cellByDirectIndex(i, decoded[i]);
}
return;
}
if ( values.type() != Type.ARRAY)
throw new IllegalArgumentException("Excepted 'values' to contain an array, not " + values.type());
MutableInteger index = new MutableInteger(0);
values.traverse((ArrayTraverser) (__, value) -> {
if (value.type() != Type.LONG && value.type() != Type.DOUBLE)
throw new IllegalArgumentException("Excepted the values array to contain numbers, not " + value.type());
indexedBuilder.cellByDirectIndex(index.next(), value.asDouble());
});
}
private static void decodeBlocks(Inspector values, Tensor.Builder builder) {
if ( ! (builder instanceof MixedTensor.BoundBuilder))
throw new IllegalArgumentException("The 'blocks' field can only be used with mixed tensors with bound dimensions. " +
"Use 'cells' or 'values' instead");
MixedTensor.BoundBuilder mixedBuilder = (MixedTensor.BoundBuilder) builder;
if (values.type() == Type.ARRAY)
values.traverse((ArrayTraverser) (__, value) -> decodeBlock(value, mixedBuilder));
else if (values.type() == Type.OBJECT)
values.traverse((ObjectTraverser) (key, value) -> decodeSingleDimensionBlock(key, value, mixedBuilder));
else
throw new IllegalArgumentException("Excepted 'blocks' to contain an array or object, not " + values.type());
}
private static void decodeBlock(Inspector block, MixedTensor.BoundBuilder mixedBuilder) {
if (block.type() != Type.OBJECT)
throw new IllegalArgumentException("Expected an item in a 'blocks' array to be an object, not " + block.type());
mixedBuilder.block(decodeAddress(block.field("address"), mixedBuilder.type().mappedSubtype()),
decodeValues(block.field("values"), mixedBuilder));
}
private static void decodeSingleDimensionBlock(String key, Inspector value, MixedTensor.BoundBuilder mixedBuilder) {
if (value.type() != Type.ARRAY)
throw new IllegalArgumentException("Expected an item in a 'blocks' array to be an object, not " + value.type());
mixedBuilder.block(asAddress(key, mixedBuilder.type().mappedSubtype()),
decodeValues(value, mixedBuilder));
}
private static byte decodeHex(String input, int index) {
int d = Character.digit(input.charAt(index), 16);
if (d < 0) {
throw new IllegalArgumentException("Invalid digit '"+input.charAt(index)+"' at index "+index+" in input "+input);
}
return (byte)d;
}
private static double[] decodeHexStringAsBytes(String input) {
int l = input.length() / 2;
double[] result = new double[l];
int idx = 0;
for (int i = 0; i < l; i++) {
byte v = decodeHex(input, idx++);
v <<= 4;
v += decodeHex(input, idx++);
result[i] = v;
}
return result;
}
private static double[] decodeHexStringAsBFloat16s(String input) {
int l = input.length() / 4;
double[] result = new double[l];
int idx = 0;
for (int i = 0; i < l; i++) {
int v = decodeHex(input, idx++);
v <<= 4; v += decodeHex(input, idx++);
v <<= 4; v += decodeHex(input, idx++);
v <<= 4; v += decodeHex(input, idx++);
v <<= 16;
result[i] = Float.intBitsToFloat(v);
}
return result;
}
private static double[] decodeHexStringAsFloats(String input) {
int l = input.length() / 8;
double[] result = new double[l];
int idx = 0;
for (int i = 0; i < l; i++) {
int v = 0;
for (int j = 0; j < 8; j++) {
v <<= 4;
v += decodeHex(input, idx++);
}
result[i] = Float.intBitsToFloat(v);
}
return result;
}
private static double[] decodeHexStringAsDoubles(String input) {
int l = input.length() / 16;
double[] result = new double[l];
int idx = 0;
for (int i = 0; i < l; i++) {
long v = 0;
for (int j = 0; j < 16; j++) {
v <<= 4;
v += decodeHex(input, idx++);
}
result[i] = Double.longBitsToDouble(v);
}
return result;
}
private static double[] decodeHexString(String input, TensorType.Value valueType) {
switch(valueType) {
case INT8:
return decodeHexStringAsBytes(input);
case BFLOAT16:
return decodeHexStringAsBFloat16s(input);
case FLOAT:
return decodeHexStringAsFloats(input);
case DOUBLE:
return decodeHexStringAsDoubles(input);
default:
throw new IllegalArgumentException("Cannot handle value type: "+valueType);
}
}
private static double[] decodeValues(Inspector valuesField, MixedTensor.BoundBuilder mixedBuilder) {
double[] values = new double[(int)mixedBuilder.denseSubspaceSize()];
if (valuesField.type() == Type.ARRAY) {
valuesField.traverse((ArrayTraverser) (index, value) -> values[index] = decodeNumeric(value));
} else if (valuesField.type() == Type.STRING) {
double[] decoded = decodeHexString(valuesField.asString(), mixedBuilder.type().valueType());
for (int i = 0; i < decoded.length; i++) {
values[i] = decoded[i];
}
} else {
throw new IllegalArgumentException("Expected a block to contain a 'values' array");
}
return values;
}
private static TensorAddress decodeAddress(Inspector addressField, TensorType type) {
if (addressField.type() != Type.OBJECT)
throw new IllegalArgumentException("Expected an 'address' object, not " + addressField.type());
TensorAddress.Builder builder = new TensorAddress.Builder(type);
addressField.traverse((ObjectTraverser) (dimension, label) -> builder.add(dimension, label.asString()));
return builder.build();
}
private static TensorAddress asAddress(String label, TensorType type) {
if (type.dimensions().size() != 1)
throw new IllegalArgumentException("Expected a tensor with a single dimension but got " + type);
return new TensorAddress.Builder(type).add(type.dimensions().get(0).name(), label).build();
}
private static double decodeNumeric(Inspector numericField) {
if (numericField.type() != Type.LONG && numericField.type() != Type.DOUBLE)
throw new IllegalArgumentException("Excepted a number, not " + numericField.type());
return numericField.asDouble();
}
}
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