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@ -24,6 +24,7 @@ import org.apache.commons.io.FileUtils;
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import org.deeplearning4j.BaseDL4JTest;
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import org.deeplearning4j.nn.modelimport.keras.utils.DL4JKerasModelValidator;
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import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
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import org.junit.Ignore;
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import org.junit.Rule;
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import org.junit.Test;
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import org.junit.rules.TemporaryFolder;
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@ -41,6 +42,7 @@ import java.util.concurrent.atomic.AtomicInteger;
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import static org.junit.Assert.*;
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@Ignore
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public class MiscTests extends BaseDL4JTest {
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@Rule
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@ -31,6 +31,7 @@ import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
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import org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException;
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import org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException;
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import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
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import org.junit.Ignore;
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import org.junit.Test;
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import org.nd4j.common.resources.Resources;
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import org.nd4j.linalg.convolution.Convolution;
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@ -58,6 +59,7 @@ public class KerasModelImportTest extends BaseDL4JTest {
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}
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@Test
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@Ignore
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public void testNCHWNWHCChangeImport() {
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MultiLayerNetwork model = loadModel("modelimport/keras/weights/conv2dnchw/simpleconv2d.hdf5");
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MultiLayerConfiguration multiLayerConfiguration = model.getLayerWiseConfigurations();
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