生成的冻结图不适用于Android应用程序

Question

1. 我使用wisdm数据集的应用程序开始了测试。 当您插入图形并执行操作时，应用程序将立即结束。

由于这个问题，我无法入睡。

操作系统：window10 tensorflow版本：1.13.1

源代码生成android应用程序

'''

from tensorflow.python.tools import freeze_graph

MODEL_NAME = 'har'

input_graph_path = 'checkpoint/' + MODEL_NAME+'.pbtxt'
checkpoint_path = './checkpoint/' +MODEL_NAME+'.ckpt'
restore_op_name = "save/restore_all"
filename_tensor_name = "save/Const:0"
output_frozen_graph_name = 'frozen_'+MODEL_NAME+'.pb'

freeze_graph.freeze_graph(input_graph_path, input_saver="",
                          input_binary=False, input_checkpoint=checkpoint_path,
                          output_node_names="y_", restore_op_name="save/restore_all",
                          filename_tensor_name="save/Const:0",
                          output_graph=output_frozen_graph_name, clear_devices=True, initializer_nodes="")
'''

和android stdio代码

'''

package io.github.introml.activityrecognition;

import android.content.Context;

import org.tensorflow.contrib.android.TensorFlowInferenceInterface;


public class TensorFlowClassifier {
    static {
        System.loadLibrary("tensorflow_inference");
    }

    private TensorFlowInferenceInterface inferenceInterface;
    private static final String MODEL_FILE = "file:///android_asset/frozen_har.pb";
//    private static final String MODEL_FILE = "file:///android_asset/frozen_har.pb";
    private static final String INPUT_NODE = "inputs";
    private static final String[] OUTPUT_NODES = {"y_"};
    private static final String OUTPUT_NODE = "y_";
    private static final long[] INPUT_SIZE = {1, 200, 3};
    private static final int OUTPUT_SIZE = 6;

    public TensorFlowClassifier(final Context context) {
        inferenceInterface = new TensorFlowInferenceInterface(context.getAssets(), MODEL_FILE);
    }

    public float[] predictProbabilities(float[] data) {
        float[] result = new float[OUTPUT_SIZE];
        inferenceInterface.feed(INPUT_NODE, data, INPUT_SIZE);
        inferenceInterface.run(OUTPUT_NODES);
        inferenceInterface.fetch(OUTPUT_NODE, result);

        //Downstairs    Jogging   Sitting   Standing    Upstairs    Walking
        return result;
    }
}
'''

我听不懂

应用程序立即终止

应用程序立即终止