本文整理了Java中org.nd4j.linalg.factory.Nd4j.createUninitializedDetached()方法的一些代码示例，展示了Nd4j.createUninitializedDetached()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。Nd4j.createUninitializedDetached()方法的具体详情如下：
包路径：org.nd4j.linalg.factory.Nd4j
类名称：Nd4j
方法名：createUninitializedDetached

Nd4j.createUninitializedDetached介绍

[英]Cretes uninitialized INDArray detached from any (if any) workspace
[中]Cretes未初始化的INDArray从任何（如果有的话）工作区分离

代码示例

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Cretes uninitialized INDArray detached from any (if any) workspace
 *
 * @param shape
 * @return
 */
public static INDArray createUninitializedDetached(int[] shape) {
  return createUninitializedDetached(shape, Nd4j.order());
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Cretes uninitialized INDArray detached from any (if any) workspace
 *
 * @param shape
 * @return
 */
public static INDArray createUninitializedDetached(long[] shape) {
  return createUninitializedDetached(shape, Nd4j.order());
}

代码示例来源：origin: org.nd4j/nd4j-api

/**
 * Cretes uninitialized INDArray detached from any (if any) workspace
 *
 * @param shape
 * @return
 */
public static INDArray createUninitializedDetached(int[] shape) {
  checkShapeValues(shape);
  //ensure shapes that wind up being scalar end up with the write shape
  return createUninitializedDetached(shape, Nd4j.order());
}

代码示例来源：origin: CampagneLaboratory/variationanalysis

private void keepLongestMask(int minibatchSize, INDArray mask, int[] randomIndex1, int[] randomIndex2) {
  if (mask == null) return;
  INDArray[] tmpBuffer = new INDArray[minibatchSize];
  // Find the longest mask and keep it as mixup ask:
  for (int exampleIndex = 0; exampleIndex < minibatchSize; exampleIndex++) {
    int random1 = randomIndex1[exampleIndex];
    int random2 = randomIndex2[exampleIndex];
    final INDArray mask1 = mask.getRow(random1);
    final INDArray mask2 = mask.getRow(random2);
    tmpBuffer[exampleIndex] = Nd4j.createUninitializedDetached(mask1.shape());
    if (mask1.sub(mask2).sumNumber().doubleValue() < 0) {
      // mask2 has more 1s than mask1, use mask2:
      Nd4j.copy(mask2, tmpBuffer[exampleIndex]);
    } else {
      Nd4j.copy(mask1, tmpBuffer[exampleIndex]);
    }
  }
  for (int exampleIndex = 0; exampleIndex < minibatchSize; exampleIndex++) {
    // assign tmpBuffer[inputIndex] back into the minibatch:
    mask.putRow(exampleIndex, tmpBuffer[exampleIndex]);
  }
}

代码示例来源：origin: CampagneLaboratory/variationanalysis

inputs[sampleIndex][index] = Nd4j.createUninitializedDetached(inputShape, 'f');
  inputMasks[sampleIndex][index] = needMask ? Nd4j.createUninitializedDetached(
      domainDescriptor.getInputMaskShape(size, input), 'f'
  ) : null;
for (int sampleIndex = 0; sampleIndex < sampleIndices.length; sampleIndex++) {
  labelMappers[index][sampleIndex] = domainDescriptor.getLabelMapper(label);
  labels[sampleIndex][index] = Nd4j.createUninitializedDetached(domainDescriptor.getLabelShape(size, label), 'f');
  labelMasks[sampleIndex][index] = needMask ? Nd4j.createUninitializedDetached(
      domainDescriptor.getLabelMaskShape(size, label), 'f'
  ) : null;

代码示例来源：origin: CampagneLaboratory/variationanalysis

inputs[index] = Nd4j.createUninitializedDetached(domainDescriptor.getInputShape(size, input),'f');
featureMappers[index] = domainDescriptor.getFeatureMapper(input);
index += 1;
labels[index] = Nd4j.createUninitializedDetached(domainDescriptor.getLabelShape(size, label),'f');
labelMappers[index] = domainDescriptor.getLabelMapper(label);
index++;

代码示例来源：origin: CampagneLaboratory/variationanalysis

inputs[index] = Nd4j.createUninitializedDetached(inputShape, 'f');
featureMappers[index] = domainDescriptor.getFeatureMapper(input);
boolean needMask = featureMappers[index].hasMask();
inputMasks[index] = needMask ? Nd4j.createUninitializedDetached(domainDescriptor.getInputMaskShape(size, input), 'f') : null;
labels[index] = Nd4j.createUninitializedDetached(domainDescriptor.getLabelShape(size, label), 'f');
  labelMasks[index] = Nd4j.createUninitializedDetached(domainDescriptor.getLabelMaskShape(size, label), 'f');

代码示例来源：origin: org.deeplearning4j/deeplearning4j-cuda-9.2

if (training) {
  if(meanCache == null || meanCache.length() < mean.length()){
    meanCache = Nd4j.createUninitializedDetached((int)mean.length());
    if(Nd4j.dataType() == DataBuffer.Type.HALF){
      try(MemoryWorkspace ws = Nd4j.getMemoryManager().scopeOutOfWorkspaces()) {
    varCache = Nd4j.createUninitializedDetached((int)mean.length());
    if(Nd4j.dataType() == DataBuffer.Type.HALF){
      try(MemoryWorkspace ws = Nd4j.getMemoryManager().scopeOutOfWorkspaces()) {