wehub-resource-sync
71 lines
4.5 KiB
Java
71 lines
4.5 KiB
Java
// automatically generated by the FlatBuffers compiler, do not modify
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package org.nd4j.graph;
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import com.google.flatbuffers.BaseVector;
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import com.google.flatbuffers.BooleanVector;
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import com.google.flatbuffers.ByteVector;
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import com.google.flatbuffers.Constants;
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import com.google.flatbuffers.DoubleVector;
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import com.google.flatbuffers.FlatBufferBuilder;
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import com.google.flatbuffers.FloatVector;
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import com.google.flatbuffers.IntVector;
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import com.google.flatbuffers.LongVector;
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import com.google.flatbuffers.ShortVector;
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import com.google.flatbuffers.StringVector;
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import com.google.flatbuffers.Struct;
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import com.google.flatbuffers.Table;
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import com.google.flatbuffers.UnionVector;
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import java.nio.ByteBuffer;
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import java.nio.ByteOrder;
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@SuppressWarnings("unused")
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public final class FlatInferenceRequest extends Table {
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public static void ValidateVersion() { Constants.FLATBUFFERS_25_2_10(); }
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public static FlatInferenceRequest getRootAsFlatInferenceRequest(ByteBuffer _bb) { return getRootAsFlatInferenceRequest(_bb, new FlatInferenceRequest()); }
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public static FlatInferenceRequest getRootAsFlatInferenceRequest(ByteBuffer _bb, FlatInferenceRequest obj) { _bb.order(ByteOrder.LITTLE_ENDIAN); return (obj.__assign(_bb.getInt(_bb.position()) + _bb.position(), _bb)); }
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public void __init(int _i, ByteBuffer _bb) { __reset(_i, _bb); }
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public FlatInferenceRequest __assign(int _i, ByteBuffer _bb) { __init(_i, _bb); return this; }
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public long id() { int o = __offset(4); return o != 0 ? bb.getLong(o + bb_pos) : 0L; }
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public org.nd4j.graph.FlatVariable variables(int j) { return variables(new org.nd4j.graph.FlatVariable(), j); }
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public org.nd4j.graph.FlatVariable variables(org.nd4j.graph.FlatVariable obj, int j) { int o = __offset(6); return o != 0 ? obj.__assign(__indirect(__vector(o) + j * 4), bb) : null; }
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public int variablesLength() { int o = __offset(6); return o != 0 ? __vector_len(o) : 0; }
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public org.nd4j.graph.FlatVariable.Vector variablesVector() { return variablesVector(new org.nd4j.graph.FlatVariable.Vector()); }
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public org.nd4j.graph.FlatVariable.Vector variablesVector(org.nd4j.graph.FlatVariable.Vector obj) { int o = __offset(6); return o != 0 ? obj.__assign(__vector(o), 4, bb) : null; }
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public org.nd4j.graph.FlatConfiguration configuration() { return configuration(new org.nd4j.graph.FlatConfiguration()); }
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public org.nd4j.graph.FlatConfiguration configuration(org.nd4j.graph.FlatConfiguration obj) { int o = __offset(8); return o != 0 ? obj.__assign(__indirect(o + bb_pos), bb) : null; }
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public static int createFlatInferenceRequest(FlatBufferBuilder builder,
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long id,
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int variablesOffset,
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int configurationOffset) {
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builder.startTable(3);
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FlatInferenceRequest.addId(builder, id);
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FlatInferenceRequest.addConfiguration(builder, configurationOffset);
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FlatInferenceRequest.addVariables(builder, variablesOffset);
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return FlatInferenceRequest.endFlatInferenceRequest(builder);
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}
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public static void startFlatInferenceRequest(FlatBufferBuilder builder) { builder.startTable(3); }
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public static void addId(FlatBufferBuilder builder, long id) { builder.addLong(0, id, 0L); }
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public static void addVariables(FlatBufferBuilder builder, int variablesOffset) { builder.addOffset(1, variablesOffset, 0); }
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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(); }
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public static void startVariablesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
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public static void addConfiguration(FlatBufferBuilder builder, int configurationOffset) { builder.addOffset(2, configurationOffset, 0); }
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public static int endFlatInferenceRequest(FlatBufferBuilder builder) {
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int o = builder.endTable();
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return o;
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}
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public static void finishFlatInferenceRequestBuffer(FlatBufferBuilder builder, int offset) { builder.finish(offset); }
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public static void finishSizePrefixedFlatInferenceRequestBuffer(FlatBufferBuilder builder, int offset) { builder.finishSizePrefixed(offset); }
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public static final class Vector extends BaseVector {
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public Vector __assign(int _vector, int _element_size, ByteBuffer _bb) { __reset(_vector, _element_size, _bb); return this; }
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public FlatInferenceRequest get(int j) { return get(new FlatInferenceRequest(), j); }
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public FlatInferenceRequest get(FlatInferenceRequest obj, int j) { return obj.__assign(__indirect(__element(j), bb), bb); }
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}
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}
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