SparseTensor.java
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.arrow.flatbuf;
import com.google.flatbuffers.BaseVector;
import com.google.flatbuffers.BooleanVector;
import com.google.flatbuffers.ByteVector;
import com.google.flatbuffers.Constants;
import com.google.flatbuffers.DoubleVector;
import com.google.flatbuffers.FlatBufferBuilder;
import com.google.flatbuffers.FloatVector;
import com.google.flatbuffers.IntVector;
import com.google.flatbuffers.LongVector;
import com.google.flatbuffers.ShortVector;
import com.google.flatbuffers.StringVector;
import com.google.flatbuffers.Struct;
import com.google.flatbuffers.Table;
import com.google.flatbuffers.UnionVector;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
@SuppressWarnings("unused")
public final class SparseTensor extends Table {
public static void ValidateVersion() { Constants.FLATBUFFERS_24_3_25(); }
public static SparseTensor getRootAsSparseTensor(ByteBuffer _bb) { return getRootAsSparseTensor(_bb, new SparseTensor()); }
public static SparseTensor getRootAsSparseTensor(ByteBuffer _bb, SparseTensor obj) { _bb.order(ByteOrder.LITTLE_ENDIAN); return (obj.__assign(_bb.getInt(_bb.position()) + _bb.position(), _bb)); }
public void __init(int _i, ByteBuffer _bb) { __reset(_i, _bb); }
public SparseTensor __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
public byte typeType() { int o = __offset(4); return o != 0 ? bb.get(o + bb_pos) : 0; }
/**
* The type of data contained in a value cell.
* Currently only fixed-width value types are supported,
* no strings or nested types.
*/
public Table type(Table obj) { int o = __offset(6); return o != 0 ? __union(obj, o + bb_pos) : null; }
/**
* The dimensions of the tensor, optionally named.
*/
public org.apache.arrow.flatbuf.TensorDim shape(int j) { return shape(new org.apache.arrow.flatbuf.TensorDim(), j); }
public org.apache.arrow.flatbuf.TensorDim shape(org.apache.arrow.flatbuf.TensorDim obj, int j) { int o = __offset(8); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; }
public int shapeLength() { int o = __offset(8); return o != 0 ? __vector_len(o) : 0; }
public org.apache.arrow.flatbuf.TensorDim.Vector shapeVector() { return shapeVector(new org.apache.arrow.flatbuf.TensorDim.Vector()); }
public org.apache.arrow.flatbuf.TensorDim.Vector shapeVector(org.apache.arrow.flatbuf.TensorDim.Vector obj) { int o = __offset(8); return o != 0 ? obj.__assign(__vector(o), 4, bb) : null; }
/**
* The number of non-zero values in a sparse tensor.
*/
public long nonZeroLength() { int o = __offset(10); return o != 0 ? bb.getLong(o + bb_pos) : 0L; }
public byte sparseIndexType() { int o = __offset(12); return o != 0 ? bb.get(o + bb_pos) : 0; }
/**
* Sparse tensor index
*/
public Table sparseIndex(Table obj) { int o = __offset(14); return o != 0 ? __union(obj, o + bb_pos) : null; }
/**
* The location and size of the tensor's data
*/
public org.apache.arrow.flatbuf.Buffer data() { return data(new org.apache.arrow.flatbuf.Buffer()); }
public org.apache.arrow.flatbuf.Buffer data(org.apache.arrow.flatbuf.Buffer obj) { int o = __offset(16); return o != 0 ? obj.__assign(o + bb_pos, bb) : null; }
public static void startSparseTensor(FlatBufferBuilder builder) { builder.startTable(7); }
public static void addTypeType(FlatBufferBuilder builder, byte typeType) { builder.addByte(0, typeType, 0); }
public static void addType(FlatBufferBuilder builder, int typeOffset) { builder.addOffset(1, typeOffset, 0); }
public static void addShape(FlatBufferBuilder builder, int shapeOffset) { builder.addOffset(2, shapeOffset, 0); }
public static int createShapeVector(FlatBufferBuilder builder, int[] data) { builder.startVector(4, data.length, 4); for (int i = data.length - 1; i >= 0; i--) builder.addOffset(data[i]); return builder.endVector(); }
public static void startShapeVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
public static void addNonZeroLength(FlatBufferBuilder builder, long nonZeroLength) { builder.addLong(3, nonZeroLength, 0L); }
public static void addSparseIndexType(FlatBufferBuilder builder, byte sparseIndexType) { builder.addByte(4, sparseIndexType, 0); }
public static void addSparseIndex(FlatBufferBuilder builder, int sparseIndexOffset) { builder.addOffset(5, sparseIndexOffset, 0); }
public static void addData(FlatBufferBuilder builder, int dataOffset) { builder.addStruct(6, dataOffset, 0); }
public static int endSparseTensor(FlatBufferBuilder builder) {
int o = builder.endTable();
builder.required(o, 6); // type
builder.required(o, 8); // shape
builder.required(o, 14); // sparseIndex
builder.required(o, 16); // data
return o;
}
public static void finishSparseTensorBuffer(FlatBufferBuilder builder, int offset) { builder.finish(offset); }
public static void finishSizePrefixedSparseTensorBuffer(FlatBufferBuilder builder, int offset) { builder.finishSizePrefixed(offset); }
public static final class Vector extends BaseVector {
public Vector __assign(int _vector, int _element_size, ByteBuffer _bb) { __reset(_vector, _element_size, _bb); return this; }
public SparseTensor get(int j) { return get(new SparseTensor(), j); }
public SparseTensor get(SparseTensor obj, int j) { return obj.__assign(__indirect(__element(j), bb), bb); }
}
}