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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package ai.vespa.rankingexpression.importer.onnx;
import com.google.protobuf.ByteString;
import ai.vespa.rankingexpression.importer.OrderedTensorType;
import com.yahoo.tensor.IndexedTensor;
import com.yahoo.tensor.Tensor;
import onnx.Onnx;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.nio.DoubleBuffer;
import java.nio.FloatBuffer;
import java.nio.IntBuffer;
import java.nio.LongBuffer;
/**
* Converts Onnx tensors into Vespa tensors.
*
* @author lesters
*/
class TensorConverter {
static Tensor toVespaTensor(Onnx.TensorProto tensorProto, OrderedTensorType type) {
Values values = readValuesOf(tensorProto);
IndexedTensor.BoundBuilder builder = (IndexedTensor.BoundBuilder) Tensor.Builder.of(type.type());
for (int i = 0; i < values.size(); i++) {
builder.cellByDirectIndex(type.toDirectIndex(i), values.get(i));
}
return builder.build();
}
private static Values readValuesOf(Onnx.TensorProto tensorProto) {
var elemType = Onnx.TensorProto.DataType.forNumber(tensorProto.getDataType());
if (tensorProto.hasRawData()) {
switch (elemType) {
case BOOL: return new RawBoolValues(tensorProto);
case FLOAT: return new RawFloatValues(tensorProto);
case DOUBLE: return new RawDoubleValues(tensorProto);
case INT32: return new RawIntValues(tensorProto);
case INT64: return new RawLongValues(tensorProto);
}
} else {
switch (elemType) {
case FLOAT: return new FloatValues(tensorProto);
case DOUBLE: return new DoubleValues(tensorProto);
case INT32: return new IntValues(tensorProto);
case INT64: return new LongValues(tensorProto);
}
}
throw new IllegalArgumentException("Cannot convert a tensor with elements of type " +
tensorProto.getDataType() + " to a Vespa tensor");
}
/** Allows reading values from buffers of various numeric types as bytes */
private static abstract class Values {
abstract double get(int i);
abstract int size();
}
private static abstract class RawValues extends Values {
ByteBuffer bytes(Onnx.TensorProto tensorProto) {
ByteString byteString = tensorProto.getRawData();
return byteString.asReadOnlyByteBuffer().order(ByteOrder.LITTLE_ENDIAN);
}
}
private static class RawBoolValues extends RawValues {
private final ByteString values;
private final int size;
RawBoolValues(Onnx.TensorProto tensorProto) {
values = tensorProto.getRawData();
size = values.size();
}
@Override double get(int i) { return values.byteAt(i) == 0 ? 0.0 : 1.0; }
@Override int size() { return size; }
}
private static class RawFloatValues extends RawValues {
private final FloatBuffer values;
private final int size;
RawFloatValues(Onnx.TensorProto tensorProto) {
values = bytes(tensorProto).asFloatBuffer();
size = values.remaining();
}
@Override double get(int i) { return values.get(i); }
@Override int size() { return size; }
}
private static class RawDoubleValues extends RawValues {
private final DoubleBuffer values;
private final int size;
RawDoubleValues(Onnx.TensorProto tensorProto) {
values = bytes(tensorProto).asDoubleBuffer();
size = values.remaining();
}
@Override double get(int i) { return values.get(i); }
@Override int size() { return size; }
}
private static class RawIntValues extends RawValues {
private final IntBuffer values;
private final int size;
RawIntValues(Onnx.TensorProto tensorProto) {
values = bytes(tensorProto).asIntBuffer();
size = values.remaining();
}
@Override double get(int i) { return values.get(i); }
@Override int size() { return size; }
}
private static class RawLongValues extends RawValues {
private final LongBuffer values;
private final int size;
RawLongValues(Onnx.TensorProto tensorProto) {
values = bytes(tensorProto).asLongBuffer();
size = values.remaining();
}
@Override double get(int i) { return values.get(i); }
@Override int size() { return size; }
}
private static class FloatValues extends Values {
private final Onnx.TensorProto tensorProto;
FloatValues(Onnx.TensorProto tensorProto) {
this.tensorProto = tensorProto;
}
@Override double get(int i) { return tensorProto.getFloatData(i); }
@Override int size() { return tensorProto.getFloatDataCount(); }
}
private static class DoubleValues extends Values {
private final Onnx.TensorProto tensorProto;
DoubleValues(Onnx.TensorProto tensorProto) {
this.tensorProto = tensorProto;
}
@Override double get(int i) { return tensorProto.getDoubleData(i); }
@Override int size() { return tensorProto.getDoubleDataCount(); }
}
private static class IntValues extends Values {
private final Onnx.TensorProto tensorProto;
IntValues(Onnx.TensorProto tensorProto) {
this.tensorProto = tensorProto;
}
@Override double get(int i) { return tensorProto.getInt32Data(i); }
@Override int size() { return tensorProto.getInt32DataCount(); }
}
private static class LongValues extends Values {
private final Onnx.TensorProto tensorProto;
LongValues(Onnx.TensorProto tensorProto) {
this.tensorProto = tensorProto;
}
@Override double get(int i) { return tensorProto.getInt64Data(i); }
@Override int size() { return tensorProto.getInt64DataCount(); }
}
}
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