51 lines
1.8 KiB
Java
51 lines
1.8 KiB
Java
/*
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* ******************************************************************************
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* *
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* *
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* * This program and the accompanying materials are made available under the
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* * terms of the Apache License, Version 2.0 which is available at
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* * https://www.apache.org/licenses/LICENSE-2.0.
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* *
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* * See the NOTICE file distributed with this work for additional
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* * information regarding copyright ownership.
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* * Unless required by applicable law or agreed to in writing, software
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* * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* * License for the specific language governing permissions and limitations
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* * under the License.
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* *
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* * SPDX-License-Identifier: Apache-2.0
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* *****************************************************************************
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*/
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package org.deeplearning4j.nn.adapters;
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import lombok.val;
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import org.deeplearning4j.BaseDL4JTest;
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import org.junit.Test;
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import org.nd4j.linalg.factory.Nd4j;
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import org.nd4j.common.util.ArrayUtil;
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import static org.junit.Assert.*;
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public class Regression2dAdapterTest extends BaseDL4JTest {
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@Test
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public void testRegressionAdapter_2D_1() throws Exception {
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val in = new double[][] {{1, 2, 3}, { 4, 5, 6}};
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val adapter = new Regression2dAdapter();
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val result = adapter.apply(Nd4j.create(in));
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assertArrayEquals(ArrayUtil.flatten(in), ArrayUtil.flatten(result), 1e-5);
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}
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@Test
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public void testRegressionAdapter_2D_2() throws Exception {
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val in = new double[]{1, 2, 3};
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val adapter = new Regression2dAdapter();
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val result = adapter.apply(Nd4j.create(in));
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assertArrayEquals(in, ArrayUtil.flatten(result), 1e-5);
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}
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} |