add android test code (#1714)

* add android test code

* format the code

Change-Id: I436c75a06511e197f6abf923228f53af06d6bbd6

Co-authored-by: Frank Liu <frankfliu2000@gmail.com>

android/core/src/androidTest/java/ai/djl/android/core/ModelLoadingTest.java

@@ -0,0 +1,55 @@
+/*
+ * Copyright 2022 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
+ * with the License. A copy of the License is located at
+ *
+ * http://aws.amazon.com/apache2.0/
+ *
+ * or in the "license" file accompanying this file. This file 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 ai.djl.android.core;
+
+import org.junit.Assert;
+import org.junit.Test;
+
+import java.io.IOException;
+
+import ai.djl.ModelException;
+import ai.djl.inference.Predictor;
+import ai.djl.modality.Classifications;
+import ai.djl.modality.cv.Image;
+import ai.djl.modality.cv.ImageFactory;
+import ai.djl.modality.cv.transform.ToTensor;
+import ai.djl.modality.cv.translator.ImageClassificationTranslator;
+import ai.djl.repository.zoo.Criteria;
+import ai.djl.repository.zoo.ModelZoo;
+import ai.djl.repository.zoo.ZooModel;
+import ai.djl.translate.TranslateException;
+
+/* Integration test to check if model and inference runs fine */
+public class ModelLoadingTest {
+
+    @Test
+    public void testModelLoading() throws IOException, ModelException, TranslateException {
+        ImageClassificationTranslator translator = ImageClassificationTranslator.builder()
+                .addTransform(new ToTensor())
+                .optFlag(Image.Flag.GRAYSCALE)
+                .optApplySoftmax(true)
+                .build();
+        Criteria<Image, Classifications> criteria =
+                Criteria.builder()
+                        .setTypes(Image.class, Classifications.class)
+                        .optModelUrls("https://djl-ai.s3.amazonaws.com/resources/demo/pytorch/doodle_mobilenet.zip")
+                        .optTranslator(translator)
+                        .build();
+        Image image = ImageFactory.getInstance().fromUrl("https://resources.djl.ai/images/0.png");
+        try (ZooModel<Image, Classifications> model = ModelZoo.loadModel(criteria);
+             Predictor<Image, Classifications> predictor = model.newPredictor()) {
+            Classifications result = predictor.predict(image);
+            Assert.assertEquals("dog", result.best().getClassName());
+        }
+    }
+}