Keras upsampling 2D layer test

deeplearning4j-modelimport/src/test/java/org/deeplearning4j/nn/modelimport/keras/layers/convolution/KerasUpsampling2DTest.java

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+/*-
+ *
+ *  * Copyright 2017 Skymind,Inc.
+ *  *
+ *  *    Licensed under the Apache License, Version 2.0 (the "License");
+ *  *    you may not use this file except in compliance with the License.
+ *  *    You may obtain a copy of the License at
+ *  *
+ *  *        http://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.
+ *
+ */
+package org.deeplearning4j.nn.modelimport.keras.layers.convolution;
+
+import org.deeplearning4j.nn.conf.layers.Upsampling2D;
+import org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer;
+import org.deeplearning4j.nn.modelimport.keras.config.Keras1LayerConfiguration;
+import org.deeplearning4j.nn.modelimport.keras.config.Keras2LayerConfiguration;
+import org.deeplearning4j.nn.modelimport.keras.config.KerasLayerConfiguration;
+import org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling2D;
+import org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding1D;
+import org.junit.Test;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import static org.junit.Assert.assertEquals;
+
+/**
+ * @author Max Pumperla
+ */
+public class KerasUpsampling2DTest {
+
+    private final String LAYER_NAME = "upsampling_2D_layer";
+    private int[] size = new int[] {2, 2};
+
+    private Integer keras1 = 1;
+    private Integer keras2 = 2;
+    private Keras1LayerConfiguration conf1 = new Keras1LayerConfiguration();
+    private Keras2LayerConfiguration conf2 = new Keras2LayerConfiguration();
+
+    @Test
+    public void testUpsampling2DLayer() throws Exception {
+        buildUpsampling2DLayer(conf1, keras1);
+        buildUpsampling2DLayer(conf2, keras2);
+    }
+
+
+    public void buildUpsampling2DLayer(KerasLayerConfiguration conf, Integer kerasVersion) throws Exception {
+        Map<String, Object> layerConfig = new HashMap<>();
+        layerConfig.put(conf.getLAYER_FIELD_CLASS_NAME(), conf.getLAYER_CLASS_NAME_MAX_POOLING_1D());
+        Map<String, Object> config = new HashMap<>();
+        List<Integer> sizeList = new ArrayList<>();
+        sizeList.add(size[0]);
+        sizeList.add(size[1]);
+        config.put(conf.getLAYER_FIELD_UPSAMPLING_2D_SIZE(), sizeList);
+        config.put(conf.getLAYER_FIELD_NAME(), LAYER_NAME);
+        layerConfig.put(conf.getLAYER_FIELD_CONFIG(), config);
+        layerConfig.put(conf.getLAYER_FIELD_KERAS_VERSION(), kerasVersion);
+
+        Upsampling2D layer = new KerasUpsampling2D(layerConfig).getUpsampling2DLayer();
+        assertEquals(LAYER_NAME, layer.getLayerName());
+        assertEquals(size[0], layer.getSize());
+    }
+
+}