TensorFlow relearned with v3 model error on Android

Question

I retrained the TensorFlow Inception v3 model with my own dataset, as described in this tutorial .

Now I am trying to create and run a TensorFlow Android example using my revised model. I built my own code from the example as is, copied the model files (.pb) and tags (.txt) into the assets directory and changed the model parameters to TensorFlowImageListener.java:

private static final int NUM_CLASSES = 5; // number of categories
private static final int INPUT_SIZE = 299;
private static final int IMAGE_MEAN = 128;
private static final float IMAGE_STD = 128;
private static final String INPUT_NAME = "Mul:0";
private static final String OUTPUT_NAME = "final_result:0";

But the application crashes when analyzing a model file loaded from assets:

08-12 16:02:08.258 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:115 Loading TensorFlow.
08-12 16:02:08.258 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:117 Making new SessionOptions.
08-12 16:02:08.259 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:120 Got config, 0 devices
08-12 16:02:08.264 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:123 Session created.
08-12 16:02:08.264 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:126 Graph created.
08-12 16:02:08.265 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:130 Acquired AssetManager.
08-12 16:02:08.265 25253-25253/com.iliakplv.tensorflow I/native: tensorflow_jni.cc:132 Reading file to proto: file:///android_asset/tensorflow_inception_graph.pb
08-12 16:02:08.265 25253-25253/com.iliakplv.tensorflow I/native: jni_utils.cc:120 Opening asset tensorflow_inception_graph.pb from disk with copy.
08-12 16:02:09.382 25253-25253/com.iliakplv.tensorflow A/native: jni_utils.cc:123 Check failed: message->ParseFromArray(memory, data_size) 
08-12 16:02:09.382 25253-25253/com.iliakplv.tensorflow A/libc: Fatal signal 6 (SIGABRT), code -6 in tid 25253 (tech.tensorflow)

PS I also tried using tensorflow/python/tools/strip_unused.py(as he suggested here ) as follows:

bazel build tensorflow/python/tools:strip_unused && \
bazel-bin/tensorflow/python/tools/strip_unused \
--input_graph=some_graph_def.pb \
--output_graph=/tmp/stripped_graph.pb \
--input_node_names=Mul
--output_node_names=final_result

Did not help.

Answer 1

, gradle , . .pb:

aaptOptions { noCompress 'pb' }