cavis/libnd4j/include/graph/generated/nd4j/graph/FlatInferenceRequest.cs

53 lines
3.5 KiB
C#

// <auto-generated>
// automatically generated by the FlatBuffers compiler, do not modify
// </auto-generated>
namespace nd4j.graph
{
using global::System;
using global::FlatBuffers;
public struct FlatInferenceRequest : IFlatbufferObject
{
private Table __p;
public ByteBuffer ByteBuffer { get { return __p.bb; } }
public static FlatInferenceRequest GetRootAsFlatInferenceRequest(ByteBuffer _bb) { return GetRootAsFlatInferenceRequest(_bb, new FlatInferenceRequest()); }
public static FlatInferenceRequest GetRootAsFlatInferenceRequest(ByteBuffer _bb, FlatInferenceRequest obj) { return (obj.__assign(_bb.GetInt(_bb.Position) + _bb.Position, _bb)); }
public void __init(int _i, ByteBuffer _bb) { __p.bb_pos = _i; __p.bb = _bb; }
public FlatInferenceRequest __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
public long Id { get { int o = __p.__offset(4); return o != 0 ? __p.bb.GetLong(o + __p.bb_pos) : (long)0; } }
public FlatVariable? Variables(int j) { int o = __p.__offset(6); return o != 0 ? (FlatVariable?)(new FlatVariable()).__assign(__p.__indirect(__p.__vector(o) + j * 4), __p.bb) : null; }
public int VariablesLength { get { int o = __p.__offset(6); return o != 0 ? __p.__vector_len(o) : 0; } }
public FlatConfiguration? Configuration { get { int o = __p.__offset(8); return o != 0 ? (FlatConfiguration?)(new FlatConfiguration()).__assign(__p.__indirect(o + __p.bb_pos), __p.bb) : null; } }
public static Offset<FlatInferenceRequest> CreateFlatInferenceRequest(FlatBufferBuilder builder,
long id = 0,
VectorOffset variablesOffset = default(VectorOffset),
Offset<FlatConfiguration> configurationOffset = default(Offset<FlatConfiguration>)) {
builder.StartObject(3);
FlatInferenceRequest.AddId(builder, id);
FlatInferenceRequest.AddConfiguration(builder, configurationOffset);
FlatInferenceRequest.AddVariables(builder, variablesOffset);
return FlatInferenceRequest.EndFlatInferenceRequest(builder);
}
public static void StartFlatInferenceRequest(FlatBufferBuilder builder) { builder.StartObject(3); }
public static void AddId(FlatBufferBuilder builder, long id) { builder.AddLong(0, id, 0); }
public static void AddVariables(FlatBufferBuilder builder, VectorOffset variablesOffset) { builder.AddOffset(1, variablesOffset.Value, 0); }
public static VectorOffset CreateVariablesVector(FlatBufferBuilder builder, Offset<FlatVariable>[] data) { builder.StartVector(4, data.Length, 4); for (int i = data.Length - 1; i >= 0; i--) builder.AddOffset(data[i].Value); return builder.EndVector(); }
public static VectorOffset CreateVariablesVectorBlock(FlatBufferBuilder builder, Offset<FlatVariable>[] data) { builder.StartVector(4, data.Length, 4); builder.Add(data); return builder.EndVector(); }
public static void StartVariablesVector(FlatBufferBuilder builder, int numElems) { builder.StartVector(4, numElems, 4); }
public static void AddConfiguration(FlatBufferBuilder builder, Offset<FlatConfiguration> configurationOffset) { builder.AddOffset(2, configurationOffset.Value, 0); }
public static Offset<FlatInferenceRequest> EndFlatInferenceRequest(FlatBufferBuilder builder) {
int o = builder.EndObject();
return new Offset<FlatInferenceRequest>(o);
}
public static void FinishFlatInferenceRequestBuffer(FlatBufferBuilder builder, Offset<FlatInferenceRequest> offset) { builder.Finish(offset.Value); }
public static void FinishSizePrefixedFlatInferenceRequestBuffer(FlatBufferBuilder builder, Offset<FlatInferenceRequest> offset) { builder.FinishSizePrefixed(offset.Value); }
};
}