Examples with BaseCondition org.nd4j.linalg.indexing.conditions.BaseCondition used on opensource projects

Example 1 with BaseCondition

use of org.nd4j.linalg.indexing.conditions.BaseCondition in project nd4j by deeplearning4j.

the class BooleanIndexing method applyWhere.

/**
 * This method sets provided number to all elements which match specified condition
 *
 * @param to
 * @param condition
 * @param number
 */
public static void applyWhere(final INDArray to, final Condition condition, final Number number) {
    if (condition instanceof BaseCondition) {
        // for all static conditions we go native
        Nd4j.getExecutioner().exec(new CompareAndSet(to, number.doubleValue(), condition));
    } else {
        final double value = number.doubleValue();
        final Function<Number, Number> dynamic = new Function<Number, Number>() {

            @Override
            public Number apply(Number number) {
                return value;
            }
        };
        Shape.iterate(to, new CoordinateFunction() {

            @Override
            public void process(int[]... coord) {
                if (condition.apply(to.getDouble(coord[0])))
                    to.putScalar(coord[0], dynamic.apply(to.getDouble(coord[0])).doubleValue());
            }
        });
    }
}

Example 2 with BaseCondition

use of org.nd4j.linalg.indexing.conditions.BaseCondition in project nd4j by deeplearning4j.

the class BooleanIndexing method and.

/**
 * And over the whole ndarray given some condition
 *
 * @param n    the ndarray to test
 * @param cond the condition to test against
 * @return true if all of the elements meet the specified
 * condition false otherwise
 */
public static boolean and(final INDArray n, final Condition cond) {
    if (cond instanceof BaseCondition) {
        long val = (long) Nd4j.getExecutioner().exec(new MatchCondition(n, cond), Integer.MAX_VALUE).getDouble(0);
        if (val == n.lengthLong())
            return true;
        else
            return false;
    } else {
        boolean ret = true;
        final AtomicBoolean a = new AtomicBoolean(ret);
        Shape.iterate(n, new CoordinateFunction() {

            @Override
            public void process(int[]... coord) {
                if (a.get())
                    a.compareAndSet(true, a.get() && cond.apply(n.getDouble(coord[0])));
            }
        });
        return a.get();
    }
}

Example 3 with BaseCondition

use of org.nd4j.linalg.indexing.conditions.BaseCondition in project nd4j by deeplearning4j.

the class BooleanIndexing method lastIndex.

/**
 * This method returns last index matching given condition
 *
 * PLEASE NOTE: This method will return -1 value if condition wasn't met
 *
 * @param array
 * @param condition
 * @return
 */
public static INDArray lastIndex(INDArray array, Condition condition) {
    if (!(condition instanceof BaseCondition))
        throw new UnsupportedOperationException("Only static Conditions are supported");
    LastIndex idx = new LastIndex(array, condition);
    Nd4j.getExecutioner().exec(idx);
    return Nd4j.scalar((double) idx.getFinalResult());
}

Example 4 with BaseCondition

use of org.nd4j.linalg.indexing.conditions.BaseCondition in project nd4j by deeplearning4j.

the class BooleanIndexing method firstIndex.

/**
 * This method returns first index matching given condition
 *
 * PLEASE NOTE: This method will return -1 value if condition wasn't met
 *
 * @param array
 * @param condition
 * @return
 */
public static INDArray firstIndex(INDArray array, Condition condition) {
    if (!(condition instanceof BaseCondition))
        throw new UnsupportedOperationException("Only static Conditions are supported");
    FirstIndex idx = new FirstIndex(array, condition);
    Nd4j.getExecutioner().exec(idx);
    return Nd4j.scalar((double) idx.getFinalResult());
}

Example 5 with BaseCondition

use of org.nd4j.linalg.indexing.conditions.BaseCondition in project nd4j by deeplearning4j.

the class BooleanIndexing method and.

/**
 * And over the whole ndarray given some condition, with respect to dimensions
 *
 * @param n    the ndarray to test
 * @param condition the condition to test against
 * @return true if all of the elements meet the specified
 * condition false otherwise
 */
public static boolean[] and(final INDArray n, final Condition condition, int... dimension) {
    if (!(condition instanceof BaseCondition))
        throw new UnsupportedOperationException("Only static Conditions are supported");
    MatchCondition op = new MatchCondition(n, condition);
    INDArray arr = Nd4j.getExecutioner().exec(op, dimension);
    boolean[] result = new boolean[arr.length()];
    long tadLength = Shape.getTADLength(n.shape(), dimension);
    for (int i = 0; i < arr.length(); i++) {
        if (arr.getDouble(i) == tadLength)
            result[i] = true;
        else
            result[i] = false;
    }
    return result;
}