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[ceph.git] / ceph / src / arrow / java / format / src / main / java / org / apache / arrow / flatbuf / TensorDim.java
1 // Licensed to the Apache Software Foundation (ASF) under one
2 // or more contributor license agreements. See the NOTICE file
3 // distributed with this work for additional information
4 // regarding copyright ownership. The ASF licenses this file
5 // to you under the Apache License, Version 2.0 (the
6 // "License"); you may not use this file except in compliance
7 // with the License. You may obtain a copy of the License at
8 //
9 // http://www.apache.org/licenses/LICENSE-2.0
10 //
11 // Unless required by applicable law or agreed to in writing, software
12 // distributed under the License is distributed on an "AS IS" BASIS,
13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 // See the License for the specific language governing permissions and
15 // limitations under the License.
16 //
17 // automatically generated by the FlatBuffers compiler, do not modify
18
19 package org.apache.arrow.flatbuf;
20
21 import java.nio.*;
22 import java.lang.*;
23 import java.util.*;
24 import com.google.flatbuffers.*;
25
26 @SuppressWarnings("unused")
27 /**
28 * ----------------------------------------------------------------------
29 * Data structures for dense tensors
30 * Shape data for a single axis in a tensor
31 */
32 public final class TensorDim extends Table {
33 public static void ValidateVersion() { Constants.FLATBUFFERS_1_12_0(); }
34 public static TensorDim getRootAsTensorDim(ByteBuffer _bb) { return getRootAsTensorDim(_bb, new TensorDim()); }
35 public static TensorDim getRootAsTensorDim(ByteBuffer _bb, TensorDim obj) { _bb.order(ByteOrder.LITTLE_ENDIAN); return (obj.__assign(_bb.getInt(_bb.position()) + _bb.position(), _bb)); }
36 public void __init(int _i, ByteBuffer _bb) { __reset(_i, _bb); }
37 public TensorDim __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
38
39 /**
40 * Length of dimension
41 */
42 public long size() { int o = __offset(4); return o != 0 ? bb.getLong(o + bb_pos) : 0L; }
43 /**
44 * Name of the dimension, optional
45 */
46 public String name() { int o = __offset(6); return o != 0 ? __string(o + bb_pos) : null; }
47 public ByteBuffer nameAsByteBuffer() { return __vector_as_bytebuffer(6, 1); }
48 public ByteBuffer nameInByteBuffer(ByteBuffer _bb) { return __vector_in_bytebuffer(_bb, 6, 1); }
49
50 public static int createTensorDim(FlatBufferBuilder builder,
51 long size,
52 int nameOffset) {
53 builder.startTable(2);
54 TensorDim.addSize(builder, size);
55 TensorDim.addName(builder, nameOffset);
56 return TensorDim.endTensorDim(builder);
57 }
58
59 public static void startTensorDim(FlatBufferBuilder builder) { builder.startTable(2); }
60 public static void addSize(FlatBufferBuilder builder, long size) { builder.addLong(0, size, 0L); }
61 public static void addName(FlatBufferBuilder builder, int nameOffset) { builder.addOffset(1, nameOffset, 0); }
62 public static int endTensorDim(FlatBufferBuilder builder) {
63 int o = builder.endTable();
64 return o;
65 }
66
67 public static final class Vector extends BaseVector {
68 public Vector __assign(int _vector, int _element_size, ByteBuffer _bb) { __reset(_vector, _element_size, _bb); return this; }
69
70 public TensorDim get(int j) { return get(new TensorDim(), j); }
71 public TensorDim get(TensorDim obj, int j) { return obj.__assign(__indirect(__element(j), bb), bb); }
72 }
73 }
74