/*******************************************************************************
 * Copyright (c) 2015-2018 Skymind, Inc.
 *
 * 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.
 *
 * 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.modelimport.keras.e2e;

import lombok.extern.slf4j.Slf4j;
import org.apache.commons.io.FileUtils;
import org.deeplearning4j.common.resources.DL4JResources;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.modelimport.keras.BaseDL4JTest;
import org.deeplearning4j.nn.modelimport.keras.KerasLayer;
import org.deeplearning4j.nn.modelimport.keras.KerasModelImport;
import org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasLRN;
import org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasPoolHelper;
import org.deeplearning4j.util.ModelSerializer;
import org.junit.Ignore;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.TemporaryFolder;

import java.io.File;
import java.net.URL;

/**
 * Test import of Keras custom layers. Must be run manually, since user must download weights and config from
 * http://blob.deeplearning4j.org/models/googlenet_keras_weights.h5
 * http://blob.deeplearning4j.org/models/googlenet_config.json
 *
 * @author Justin Long (crockpotveggies)
 */
@Slf4j
public class KerasCustomLayerTest extends BaseDL4JTest {

    @Rule
    public TemporaryFolder testDir = new TemporaryFolder();

    // run manually, might take a long time to load (too long for unit tests)
    @Ignore
    @Test
    public void testCustomLayerImport() throws Exception {
        // file paths
        String kerasWeightsAndConfigUrl = DL4JResources.getURLString("googlenet_keras_weightsandconfig.h5");
        File cachedKerasFile = testDir.newFile("googlenet_keras_weightsandconfig.h5");
        String outputPath = testDir.newFile("googlenet_dl4j_inference.zip").getAbsolutePath();

        KerasLayer.registerCustomLayer("PoolHelper", KerasPoolHelper.class);
        KerasLayer.registerCustomLayer("LRN", KerasLRN.class);

        // download file
        if (!cachedKerasFile.exists()) {
            log.info("Downloading model to " + cachedKerasFile.toString());
            FileUtils.copyURLToFile(new URL(kerasWeightsAndConfigUrl), cachedKerasFile);
            cachedKerasFile.deleteOnExit();
        }

        org.deeplearning4j.nn.api.Model importedModel =
                KerasModelImport.importKerasModelAndWeights(cachedKerasFile.getAbsolutePath());
        ModelSerializer.writeModel(importedModel, outputPath, false);

        ComputationGraph serializedModel = ModelSerializer.restoreComputationGraph(outputPath);
        log.info(serializedModel.summary());
    }
}
