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Added missing HelperUtilsTest.java

master
Brian Rosenberger 2022-09-21 11:19:57 +02:00
parent 285c6755d1
commit 978332f692
1 changed files with 92 additions and 0 deletions
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cavis-dnn/cavis-dnn-nn/src/test/java/org/deeplearning4j/nn/layers/HelperUtilsTest.java Normal file
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/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.deeplearning4j.nn.layers;
import org.deeplearning4j.BaseDL4JTest;
import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.inputs.InputType;
import org.deeplearning4j.nn.conf.layers.ActivationLayer;
import org.deeplearning4j.nn.conf.layers.OutputLayer;
import org.deeplearning4j.nn.conf.layers.*;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.layers.convolution.ConvolutionHelper;
import org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper;
import org.deeplearning4j.nn.layers.mkldnn.*;
import org.deeplearning4j.nn.layers.normalization.BatchNormalizationHelper;
import org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper;
import org.deeplearning4j.nn.layers.recurrent.LSTMHelper;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.nn.weights.WeightInit;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Tag;
import org.junit.jupiter.api.Test;
import org.nd4j.common.tests.tags.NativeTag;
import org.nd4j.common.tests.tags.TagNames;
import org.nd4j.linalg.activations.Activation;
import org.nd4j.linalg.activations.impl.ActivationELU;
import org.nd4j.linalg.activations.impl.ActivationRationalTanh;
import org.nd4j.linalg.activations.impl.ActivationSoftmax;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import org.nd4j.linalg.factory.Nd4j;
import org.nd4j.linalg.lossfunctions.LossFunctions;
import java.util.List;
import static org.junit.jupiter.api.Assertions.*;
/**
*/
@DisplayName("Activation Layer Test")
@NativeTag
@Tag(TagNames.CUSTOM_FUNCTIONALITY)
@Tag(TagNames.DL4J_OLD_API)
public class HelperUtilsTest extends BaseDL4JTest {
@Override
public DataType getDataType() {
return DataType.FLOAT;
}
@Test
@DisplayName("Test instance creation of various helpers")
public void testOneDnnHelperCreation() {
assertNotNull(HelperUtils.createHelper("",
MKLDNNLSTMHelper.class.getName(), LSTMHelper.class,"layername",getDataType()));
assertNotNull(HelperUtils.createHelper("", MKLDNNBatchNormHelper.class.getName(),
BatchNormalizationHelper.class,"layername",getDataType()));
assertNotNull(HelperUtils.createHelper("", MKLDNNLocalResponseNormalizationHelper.class.getName(),
LocalResponseNormalizationHelper.class,"layername",getDataType()));
assertNotNull(HelperUtils.createHelper("", MKLDNNSubsamplingHelper.class.getName(),
SubsamplingHelper.class,"layername",getDataType()));
assertNotNull(HelperUtils.createHelper("", MKLDNNConvHelper.class.getName(),
ConvolutionHelper.class,"layername",getDataType()));
}
}