update to later tensorflow based on PR reneweb#28 by shokimble

Author: sometimescasey

android/build.gradle

@@ -5,15 +5,15 @@ buildscript {
     }
 
     dependencies {
-        classpath 'com.android.tools.build:gradle:2.3.0'
+        classpath 'com.android.tools.build:gradle:2.3.3'
     }
 }
 
 apply plugin: 'com.android.library'
 
 android {
-    compileSdkVersion 23
-    buildToolsVersion "26.0.1"
+    compileSdkVersion 27
+    buildToolsVersion "27.0.2"
 
     defaultConfig {
         minSdkVersion 16
@@ -28,6 +28,9 @@ android {
 
 allprojects {
     repositories {
+        maven {
+            url 'https://maven.google.com'
+        }
         maven {
             // All of React Native (JS, Android binaries) is installed from npm
             url "$rootDir/../node_modules/react-native/android"
@@ -38,5 +41,7 @@ allprojects {
 
 dependencies {
     compile 'com.facebook.react:react-native:+'
-    compile 'org.tensorflow:tensorflow-android:1.3.0'
-}
+    compile 'org.tensorflow:tensorflow-android:+'
+    compile 'com.squareup.okhttp3:okhttp:3.4.1'
+    compile 'com.android.support:appcompat-v7:22.2.1'
+}

android/src/main/java/com/rntensorflow/RNTensorFlowInferenceModule.java

@@ -89,10 +89,10 @@ public void feed(String id, ReadableMap data, Promise promise) {
         inference.feed(inputName, Tensor.create(shape, IntBuffer.wrap(srcData)));
       } else if(dtype == DataType.BOOL) {
         byte[] srcData = readableArrayToByteBoolArray(data.getArray("data"));
-        inference.feed(inputName, Tensor.create(dtype, shape, ByteBuffer.wrap(srcData)));
+        inference.feed(inputName, Tensor.create(Boolean.class, shape, ByteBuffer.wrap(srcData)));
       } else if(dtype == DataType.STRING) {
         byte[] srcData = readableArrayToByteStringArray(data.getArray("data"));
-        inference.feed(inputName, Tensor.create(dtype, shape, ByteBuffer.wrap(srcData)));
+        inference.feed(inputName, Tensor.create(String.class, shape, ByteBuffer.wrap(srcData)));
       } else {
         promise.reject(new IllegalArgumentException("Data type is not supported"));
         return;

android/src/main/java/com/rntensorflow/RNTensorflowInference.java

@@ -64,7 +64,7 @@ public void run(String[] outputNames, boolean enableStats) {
             for (String outputName : outputNames) {
                 tfContext.runner.fetch(outputName);
             }
-            List<Tensor> tensors = tfContext.runner.run();
+            List<Tensor<?>> tensors = tfContext.runner.run();
 
             tfContext.outputTensors.clear();
             for (int i = 0; i < outputNames.length; i++) {