// automatically generated by the FlatBuffers compiler, do not modify package nd4j.graph; import java.nio.*; import java.lang.*; import java.util.*; import com.google.flatbuffers.*; @SuppressWarnings("unused") public final class FlatGraph extends Table { public static FlatGraph getRootAsFlatGraph(ByteBuffer _bb) { return getRootAsFlatGraph(_bb, new FlatGraph()); } public static FlatGraph getRootAsFlatGraph(ByteBuffer _bb, FlatGraph obj) { _bb.order(ByteOrder.LITTLE_ENDIAN); return (obj.__assign(_bb.getInt(_bb.position()) + _bb.position(), _bb)); } public void __init(int _i, ByteBuffer _bb) { bb_pos = _i; bb = _bb; } public FlatGraph __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; } public long id() { int o = __offset(4); return o != 0 ? bb.getLong(o + bb_pos) : 0L; } public FlatVariable variables(int j) { return variables(new FlatVariable(), j); } public FlatVariable variables(FlatVariable obj, int j) { int o = __offset(6); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; } public int variablesLength() { int o = __offset(6); return o != 0 ? __vector_len(o) : 0; } public FlatNode nodes(int j) { return nodes(new FlatNode(), j); } public FlatNode nodes(FlatNode obj, int j) { int o = __offset(8); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; } public int nodesLength() { int o = __offset(8); return o != 0 ? __vector_len(o) : 0; } public IntPair outputs(int j) { return outputs(new IntPair(), j); } public IntPair outputs(IntPair obj, int j) { int o = __offset(10); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; } public int outputsLength() { int o = __offset(10); return o != 0 ? __vector_len(o) : 0; } public FlatConfiguration configuration() { return configuration(new FlatConfiguration()); } public FlatConfiguration configuration(FlatConfiguration obj) { int o = __offset(12); return o != 0 ? obj.__assign(__indirect(o + bb_pos), bb) : null; } public String placeholders(int j) { int o = __offset(14); return o != 0 ? __string(__vector(o) + j * 4) : null; } public int placeholdersLength() { int o = __offset(14); return o != 0 ? __vector_len(o) : 0; } public String lossVariables(int j) { int o = __offset(16); return o != 0 ? __string(__vector(o) + j * 4) : null; } public int lossVariablesLength() { int o = __offset(16); return o != 0 ? __vector_len(o) : 0; } public String trainingConfig() { int o = __offset(18); return o != 0 ? __string(o + bb_pos) : null; } public ByteBuffer trainingConfigAsByteBuffer() { return __vector_as_bytebuffer(18, 1); } public ByteBuffer trainingConfigInByteBuffer(ByteBuffer _bb) { return __vector_in_bytebuffer(_bb, 18, 1); } public UpdaterState updaterState(int j) { return updaterState(new UpdaterState(), j); } public UpdaterState updaterState(UpdaterState obj, int j) { int o = __offset(20); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; } public int updaterStateLength() { int o = __offset(20); return o != 0 ? __vector_len(o) : 0; } public static int createFlatGraph(FlatBufferBuilder builder, long id, int variablesOffset, int nodesOffset, int outputsOffset, int configurationOffset, int placeholdersOffset, int lossVariablesOffset, int trainingConfigOffset, int updaterStateOffset) { builder.startObject(9); FlatGraph.addId(builder, id); FlatGraph.addUpdaterState(builder, updaterStateOffset); FlatGraph.addTrainingConfig(builder, trainingConfigOffset); FlatGraph.addLossVariables(builder, lossVariablesOffset); FlatGraph.addPlaceholders(builder, placeholdersOffset); FlatGraph.addConfiguration(builder, configurationOffset); FlatGraph.addOutputs(builder, outputsOffset); FlatGraph.addNodes(builder, nodesOffset); FlatGraph.addVariables(builder, variablesOffset); return FlatGraph.endFlatGraph(builder); } public static void startFlatGraph(FlatBufferBuilder builder) { builder.startObject(9); } public static void addId(FlatBufferBuilder builder, long id) { builder.addLong(0, id, 0L); } public static void addVariables(FlatBufferBuilder builder, int variablesOffset) { builder.addOffset(1, variablesOffset, 0); } public static int createVariablesVector(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 startVariablesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); } public static void addNodes(FlatBufferBuilder builder, int nodesOffset) { builder.addOffset(2, nodesOffset, 0); } public static int createNodesVector(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 startNodesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); } public static void addOutputs(FlatBufferBuilder builder, int outputsOffset) { builder.addOffset(3, outputsOffset, 0); } public static int createOutputsVector(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 startOutputsVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); } public static void addConfiguration(FlatBufferBuilder builder, int configurationOffset) { builder.addOffset(4, configurationOffset, 0); } public static void addPlaceholders(FlatBufferBuilder builder, int placeholdersOffset) { builder.addOffset(5, placeholdersOffset, 0); } public static int createPlaceholdersVector(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 startPlaceholdersVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); } public static void addLossVariables(FlatBufferBuilder builder, int lossVariablesOffset) { builder.addOffset(6, lossVariablesOffset, 0); } public static int createLossVariablesVector(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 startLossVariablesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); } public static void addTrainingConfig(FlatBufferBuilder builder, int trainingConfigOffset) { builder.addOffset(7, trainingConfigOffset, 0); } public static void addUpdaterState(FlatBufferBuilder builder, int updaterStateOffset) { builder.addOffset(8, updaterStateOffset, 0); } public static int createUpdaterStateVector(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 startUpdaterStateVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); } public static int endFlatGraph(FlatBufferBuilder builder) { int o = builder.endObject(); return o; } public static void finishFlatGraphBuffer(FlatBufferBuilder builder, int offset) { builder.finish(offset); } public static void finishSizePrefixedFlatGraphBuffer(FlatBufferBuilder builder, int offset) { builder.finishSizePrefixed(offset); } }