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...ava/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; | ||
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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; | ||
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import java.util.ArrayList; | ||
import java.util.HashMap; | ||
import java.util.List; | ||
import java.util.Map; | ||
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import static org.junit.Assert.assertEquals; | ||
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/** | ||
* @author Max Pumperla | ||
*/ | ||
public class KerasUpsampling2DTest { | ||
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private final String LAYER_NAME = "upsampling_2D_layer"; | ||
private int[] size = new int[] {2, 2}; | ||
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private Integer keras1 = 1; | ||
private Integer keras2 = 2; | ||
private Keras1LayerConfiguration conf1 = new Keras1LayerConfiguration(); | ||
private Keras2LayerConfiguration conf2 = new Keras2LayerConfiguration(); | ||
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@Test | ||
public void testUpsampling2DLayer() throws Exception { | ||
buildUpsampling2DLayer(conf1, keras1); | ||
buildUpsampling2DLayer(conf2, keras2); | ||
} | ||
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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); | ||
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Upsampling2D layer = new KerasUpsampling2D(layerConfig).getUpsampling2DLayer(); | ||
assertEquals(LAYER_NAME, layer.getLayerName()); | ||
assertEquals(size[0], layer.getSize()); | ||
} | ||
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} |