1. 测试通过的环境

名称

版本

Windows

win10_64位

IDE

Eclipse 2018-12

Tensorflow

1.6.0

JDK

1.8 （Eclipse 2018-12自带）

2. JAVA版本的Tensorflow测试代码

测试代码项目文件百度网盘下载传送门 

import org.tensorflow.Graph;
import org.tensorflow.Session;
import org.tensorflow.Tensor;
import org.tensorflow.TensorFlow;


public class test {
	  public static void main(String[] args) throws Exception {
		    try (Graph g = new Graph()) {
		      final String value = "Hello from " + TensorFlow.version();

		      // Construct the computation graph with a single operation, a constant
		      // named "MyConst" with a value "value".
		      try (Tensor t = Tensor.create(value.getBytes("UTF-8"))) {
		        // The Java API doesn't yet include convenience functions for adding operations.
		        g.opBuilder("Const", "MyConst").setAttr("dtype", t.dataType()).setAttr("value", t).build();
		      }

		      // Execute the "MyConst" operation in a Session.
		      try (Session s = new Session(g);
		           Tensor output = s.runner().fetch("MyConst").run().get(0)) {
		        System.out.println(new String(output.bytesValue(), "UTF-8"));
		      }
		    }

		  }
}

/* 输出
Hello from 1.6.0
*/

3. 可能遇到的问题及解决方案

3.1 问题：
Exception in thread "main" java.lang.UnsatisfiedLinkError: Cannot find TensorFlow native library for OS: windows, architecture: x86. See https://github.com/tensorflow/tensorflow/tree/master/java/README.md for possible solutions (such as building the library from source).
at org.tensorflow.NativeLibrary.load(NativeLibrary.java:66)
at org.tensorflow.TensorFlow.init(TensorFlow.java:27)
at org.tensorflow.TensorFlow.<clinit>(TensorFlow.java:31)
at ai.advance.project.App.main(App.java:12)
3.2 解决办法：
  1. 确保所使用的JDK是1.7版本以上的64位（与电脑位数相一致）
  2. tensorflow_jni.dll要放在项目根目录下。其中tensorflow_jni.dll可以通过解压libtensorflow_jni-1.6.0.jar得到
  3. 查看编译器compiler是否支持1.8以上的，我当时使用的MyEclipse2014的compiler最高仅支持1.7。查看compiler的方法如下图（window-preferences，然后直接搜索compiler）