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 *  * https://www.apache.org/licenses/LICENSE-2.0.
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 *  *  information regarding copyright ownership.
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 *  * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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package org.eclipse.deeplearning4j.nd4j.linalg;

import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.MethodSource;
import org.nd4j.common.tests.tags.NativeTag;
import org.nd4j.linalg.BaseNd4jTestWithBackends;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.factory.Nd4jBackend;

import static org.junit.jupiter.api.Assertions.assertEquals;
@NativeTag
public class MmulBug extends BaseNd4jTestWithBackends {


    @Override
    public char ordering(){
        return 'c';
    }

    @ParameterizedTest
    @MethodSource("org.nd4j.linalg.BaseNd4jTestWithBackends#configs")
    public void simpleTest(Nd4jBackend backend) {
        INDArray m1 = Nd4j.create(new double[][] {{1.0}, {2.0}, {3.0}, {4.0}});

        m1 = m1.reshape(2, 2);

        INDArray m2 = Nd4j.create(new double[][] {{1.0, 2.0, 3.0, 4.0},});
        m2 = m2.reshape(2, 2);
        m2.setOrder('f');

        //mmul gives the correct result
        INDArray correctResult;
        correctResult = m1.mmul(m2);
        System.out.println("================");
        System.out.println(m1);
        System.out.println(m2);
        System.out.println(correctResult);
        System.out.println("================");
        INDArray newResult = Nd4j.create(DataType.DOUBLE, correctResult.shape(), 'c');
        m1.mmul(m2, newResult);
        assertEquals(correctResult, newResult);

        //But not so mmuli (which is somewhat mixed)
        INDArray target = Nd4j.linspace(1, 4, 4).reshape(2, 2);
        target = m1.mmuli(m2, m1);
        assertEquals(true, target.equals(correctResult));
        assertEquals(true, m1.equals(correctResult));
    }
}
