本文整理了Java中com.google.flatbuffers.FlatBufferBuilder.endVector()
方法的一些代码示例,展示了FlatBufferBuilder.endVector()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。FlatBufferBuilder.endVector()
方法的具体详情如下:
包路径:com.google.flatbuffers.FlatBufferBuilder
类名称:FlatBufferBuilder
方法名:endVector
[英]Finish off the creation of an array and all its elements. The array must be created with #startVector(int,int,int).
[中]完成数组及其所有元素的创建。必须使用#startVector(int,int,int)创建数组。
代码示例来源:origin: objectbox/objectbox-java
public static int createPropertiesVector(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 startPropertiesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: objectbox/objectbox-java
public static int createEntitiesVector(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 startEntitiesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: objectbox/objectbox-java
public static int createRelationsVector(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 startRelationsVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createBufferVector(FlatBufferBuilder builder, byte[] data) { builder.startVector(1, data.length, 1); for (int i = data.length - 1; i >= 0; i--) builder.addByte(data[i]); return builder.endVector(); }
public static void startBufferVector(FlatBufferBuilder builder, int numElems) { builder.startVector(1, numElems, 1); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createShapeVector(FlatBufferBuilder builder, long[] data) { builder.startVector(8, data.length, 8); for (int i = data.length - 1; i >= 0; i--) builder.addLong(data[i]); return builder.endVector(); }
public static void startShapeVector(FlatBufferBuilder builder, int numElems) { builder.startVector(8, numElems, 8); }
代码示例来源:origin: deeplearning4j/nd4j
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); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createPropertiesVector(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 startPropertiesVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
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); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createShapeVector(FlatBufferBuilder builder, long[] data) { builder.startVector(8, data.length, 8); for (int i = data.length - 1; i >= 0; i--) builder.addLong(data[i]); return builder.endVector(); }
public static void startShapeVector(FlatBufferBuilder builder, int numElems) { builder.startVector(8, numElems, 8); }
代码示例来源:origin: deeplearning4j/nd4j
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); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createTimingVector(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 startTimingVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createInputVector(FlatBufferBuilder builder, int[] data) { builder.startVector(4, data.length, 4); for (int i = data.length - 1; i >= 0; i--) builder.addInt(data[i]); return builder.endVector(); }
public static void startInputVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createInputPairedVector(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 startInputPairedVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createIVector(FlatBufferBuilder builder, int[] data) { builder.startVector(4, data.length, 4); for (int i = data.length - 1; i >= 0; i--) builder.addInt(data[i]); return builder.endVector(); }
public static void startIVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
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); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createExtraIntegerVector(FlatBufferBuilder builder, long[] data) { builder.startVector(8, data.length, 8); for (int i = data.length - 1; i >= 0; i--) builder.addLong(data[i]); return builder.endVector(); }
public static void startExtraIntegerVector(FlatBufferBuilder builder, int numElems) { builder.startVector(8, numElems, 8); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createDimensionsVector(FlatBufferBuilder builder, int[] data) { builder.startVector(4, data.length, 4); for (int i = data.length - 1; i >= 0; i--) builder.addInt(data[i]); return builder.endVector(); }
public static void startDimensionsVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createOutputVector(FlatBufferBuilder builder, int[] data) { builder.startVector(4, data.length, 4); for (int i = data.length - 1; i >= 0; i--) builder.addInt(data[i]); return builder.endVector(); }
public static void startOutputVector(FlatBufferBuilder builder, int numElems) { builder.startVector(4, numElems, 4); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createExtraParamsVector(FlatBufferBuilder builder, double[] data) { builder.startVector(8, data.length, 8); for (int i = data.length - 1; i >= 0; i--) builder.addDouble(data[i]); return builder.endVector(); }
public static void startExtraParamsVector(FlatBufferBuilder builder, int numElems) { builder.startVector(8, numElems, 8); }
代码示例来源:origin: deeplearning4j/nd4j
public static int createLVector(FlatBufferBuilder builder, long[] data) { builder.startVector(8, data.length, 8); for (int i = data.length - 1; i >= 0; i--) builder.addLong(data[i]); return builder.endVector(); }
public static void startLVector(FlatBufferBuilder builder, int numElems) { builder.startVector(8, numElems, 8); }
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