System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Nope, using tensorflow-for-poets
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): macOS High Sierra
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): 1.7.1
• Python version: Python 2.7.10
• Bazel version (if compiling from source): N/A
• GCC/Compiler version (if compiling from source): N/A
• CUDA/cuDNN version: N/A
• GPU model and memory: N/A
• Exact command to reproduce: I added a custom tflite model (converted .pb using TOCO) and replaced graph.lite with the new custom model and built the app, but it crashes on runtime.

Detailed Description

I created a custom TensorFlow model and converted it to TOCO (as described in the tensorflow-for-poets tutorial) and I replaced the old graph.lite file with my custom model and changed nothing else in the code. When I run the app, I get the following runtime error:

Process: android.example.com.tflitecamerademo, PID: 29160
    java.lang.RuntimeException: Unable to start activity ComponentInfo{android.example.com.tflitecamerademo/com.example.android.tflitecamerademo.CameraActivity}: java.lang.NullPointerException: Can not allocate memory for the interpreter

Fixes Already Tried

• Ensuring that Android Studio/Gradle pick up on tensorflow-lite:0.1.7 changes (After tensorflow-lite-0.1.7 update Image classification using inception-v3 model stops working #19051). Currently, my build.gradle file says compile 'org.tensorflow:tensorflow-lite:+', but changing it to compile 'org.tensorflow:tensorflow-lite:0.1.7' doesn't resolve the issue either.
• Running TOCO with the --change_concat_input_ranges=false flag.