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

Nd4j.readNumpy介绍

[英]Read line via input streams
[中]通过输入流读取行

代码示例

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Read line via input streams
 *
 * @param filePath the input stream ndarray
 * @return the read txt method
 */
public static INDArray readNumpy(String filePath) throws IOException {
  return readNumpy(filePath, "\t");
}

代码示例来源：origin: deeplearning4j/nd4j

/**
 * Read line via input streams
 *
 * @param filePath the input stream ndarray
 * @param split    the split separator
 * @return the read txt method
 */
public static INDArray readNumpy(String filePath, String split) throws IOException {
  return readNumpy(new FileInputStream(filePath), split);
}

代码示例来源：origin: deeplearning4j/dl4j-examples

readFromText = Nd4j.readNumpy(makeResourcePath("/numpy_cheatsheet/file.txt"));
  print("Read from text", readFromText);
} catch (IOException e) {
  readFromCSV = Nd4j.readNumpy(makeResourcePath("/numpy_cheatsheet/file.csv"), ",");
  print("Read from csv", readFromCSV);
} catch (IOException e) {

代码示例来源：origin: org.nd4j/nd4j-api

/**
 * Read line via input streams
 *
 * @param filePath the input stream ndarray
 * @return the read txt method
 */
public static INDArray readNumpy(String filePath) throws IOException {
  return readNumpy(filePath, "\t");
}

代码示例来源：origin: org.nd4j/nd4j-api

/**
 * Read line via input streams
 *
 * @param filePath the input stream ndarray
 * @param split    the split separator
 * @return the read txt method
 */
public static INDArray readNumpy(String filePath, String split) throws IOException {
  return readNumpy(new FileInputStream(filePath), split);
}

代码示例来源：origin: sjsdfg/dl4j-tutorials

protected static Map<String, INDArray> readPlaceholdersAndPredictions() throws IOException {
    String[] toReadList = {"input_a", "input_b", "prediction_a", "prediction_b"};
    Map<String, INDArray> arraysFromPython = new HashMap<>();
    for (int i = 0; i < toReadList.length; i++) {
      String varShapePath = new ClassPathResource(BASE_DIR + "/" + toReadList[i] + ".shape").getFile().getPath();
      String varValuePath = new ClassPathResource(BASE_DIR + "/" + toReadList[i] + ".csv").getFile().getPath();
      int[] varShape = Nd4j.readNumpy(varShapePath, ",").data().asInt();
      float[] varContents = Nd4j.readNumpy(varValuePath).data().asFloat();
      arraysFromPython.put(toReadList[i], Nd4j.create(varContents).reshape(varShape));
    }
    return arraysFromPython;
  }
}