2019-06-06 15:21:15 +03:00

72 lines
2.1 KiB
Java

/*******************************************************************************
* Copyright (c) 2015-2019 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.imports;
import org.junit.Test;
import org.nd4j.linalg.BaseNd4jTest;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ops.DynamicCustomOp;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.factory.Nd4jBackend;
public class TestReverse extends BaseNd4jTest {
public TestReverse(Nd4jBackend backend) {
super(backend);
}
@Override
public char ordering() {
return 'c';
}
@Test
public void testReverse(){
INDArray in = Nd4j.trueVector(new double[]{1,2,3,4,5,6});
INDArray out = Nd4j.create(DataType.DOUBLE, 6);
DynamicCustomOp op = DynamicCustomOp.builder("reverse")
.addInputs(in)
.addOutputs(out)
.addIntegerArguments(0)
.build();
Nd4j.getExecutioner().exec(op);
System.out.println(out);
}
@Test
public void testReverse2(){
INDArray in = Nd4j.trueVector(new double[]{1,2,3,4,5,6});
INDArray axis = Nd4j.scalar(0);
INDArray out = Nd4j.create(DataType.DOUBLE, 6);
DynamicCustomOp op = DynamicCustomOp.builder("reverse")
.addInputs(in, axis)
.addOutputs(out)
.build();
Nd4j.getExecutioner().exec(op);
System.out.println(out);
}
}