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Example 51 with IComplexNDArray

use of org.nd4j.linalg.api.complex.IComplexNDArray in project nd4j by deeplearning4j.

the class Nd4j method createComplex.

/**
 * Creates an ndarray with the specified data
 *
 * @param data the number of columns in the row vector
 * @return ndarray
 */
public static IComplexNDArray createComplex(double[] data, char order) {
    IComplexNDArray ret = INSTANCE.createComplex(data, Nd4j.getComplexStrides(new int[] { 1, data.length }, order), 0, order);
    logCreationIfNecessary(ret);
    return ret;
}
Also used : IComplexNDArray(org.nd4j.linalg.api.complex.IComplexNDArray)

Example 52 with IComplexNDArray

use of org.nd4j.linalg.api.complex.IComplexNDArray in project nd4j by deeplearning4j.

the class Nd4j method createComplex.

/**
 * Create a complex ndarray from the passed in indarray
 *
 * @param arr the arr to wrap
 * @return the complex ndarray with the specified ndarray as the
 * real components
 */
public static IComplexNDArray createComplex(INDArray arr) {
    if (arr instanceof IComplexNDArray)
        return (IComplexNDArray) arr;
    IComplexNDArray ret = INSTANCE.createComplex(arr);
    logCreationIfNecessary(ret);
    return ret;
}
Also used : IComplexNDArray(org.nd4j.linalg.api.complex.IComplexNDArray)

Example 53 with IComplexNDArray

use of org.nd4j.linalg.api.complex.IComplexNDArray in project nd4j by deeplearning4j.

the class Nd4j method scalar.

/**
 * Create a scalar ndarray with the specified offset
 *
 * @param value  the value to initialize the scalar with
 * @param offset the offset of the ndarray
 * @return the created ndarray
 */
public static IComplexNDArray scalar(IComplexNumber value, long offset) {
    IComplexNDArray ret = INSTANCE.scalar(value, offset);
    logCreationIfNecessary(ret);
    return ret;
}
Also used : IComplexNDArray(org.nd4j.linalg.api.complex.IComplexNDArray)

Example 54 with IComplexNDArray

use of org.nd4j.linalg.api.complex.IComplexNDArray in project nd4j by deeplearning4j.

the class Nd4j method createComplex.

/**
 * Creates a complex ndarray with the specified shape
 *
 * @param data    the data to use with the ndarray
 * @param rows    the rows of the ndarray
 * @param columns the columns of the ndarray
 * @param stride  the stride for the ndarray
 * @param offset  the offset of the ndarray
 * @return the instance
 */
public static IComplexNDArray createComplex(float[] data, int rows, int columns, int[] stride, long offset) {
    if (rows < 1 || columns < 1)
        throw new ND4JIllegalStateException("Number of rows and columns should be positive for new INDArray");
    IComplexNDArray ret = INSTANCE.createComplex(data, rows, columns, stride, offset);
    logCreationIfNecessary(ret);
    return ret;
}
Also used : ND4JIllegalStateException(org.nd4j.linalg.exception.ND4JIllegalStateException) IComplexNDArray(org.nd4j.linalg.api.complex.IComplexNDArray)

Example 55 with IComplexNDArray

use of org.nd4j.linalg.api.complex.IComplexNDArray in project nd4j by deeplearning4j.

the class Nd4j method complexFlatten.

/**
 * Create a long row vector of all of the given ndarrays
 * @param flatten the matrices to create the flattened ndarray for
 * @return the flattened representation of
 * these ndarrays
 */
public static IComplexNDArray complexFlatten(IComplexNDArray... flatten) {
    IComplexNDArray ret = INSTANCE.complexFlatten(flatten);
    logCreationIfNecessary(ret);
    return ret;
}
Also used : IComplexNDArray(org.nd4j.linalg.api.complex.IComplexNDArray)

Aggregations

IComplexNDArray (org.nd4j.linalg.api.complex.IComplexNDArray)74 ND4JIllegalStateException (org.nd4j.linalg.exception.ND4JIllegalStateException)6 INDArray (org.nd4j.linalg.api.ndarray.INDArray)5 IComplexNumber (org.nd4j.linalg.api.complex.IComplexNumber)3 DecimalFormat (java.text.DecimalFormat)2 INDArrayIndex (org.nd4j.linalg.indexing.INDArrayIndex)2 AllocationPoint (org.nd4j.jita.allocator.impl.AllocationPoint)1 DataBuffer (org.nd4j.linalg.api.buffer.DataBuffer)1 IComplexDouble (org.nd4j.linalg.api.complex.IComplexDouble)1