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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
  No.
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  Ubuntu 16.04
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
  Pixel 2
• TensorFlow installed from (source or binary):
  Source
• TensorFlow version (use command below):
  1.8
• Python version:
  2.7
• Bazel version (if compiling from source):
  0.15.2
• GCC/Compiler version (if compiling from source):
  5.4.0
• CUDA/cuDNN version:
  N/A
• GPU model and memory:
  N/A
• Exact command to reproduce:

1. Set the mobileNet model endpoint to conv6-depthwise
2. Re-train the model from scratch with using cifar10 dataset
3. Freeze the graph with the checkpoints
   import tensorflow as tf
   from tensorflow.python.framework import graph_util
   import os,sys

output_node_names = "MobilenetV1/Predictions/Reshape"
saver = tf.train.import_meta_graph('/home/users/saman/yitao/tensorflow_android/models/research/slim/batch_32/model.ckpt-156300.meta', clear_devices=True)
graph = tf.get_default_graph()
input_graph_def = graph.as_graph_def()
sess = tf.Session()
saver.restore(sess, "/home/users/saman/yitao/tensorflow_android/models/research/slim/batch_32/model.ckpt-156300")
output_graph_def = graph_util.convert_variables_to_constants(
sess, # The session is used to retrieve the weights
input_graph_def, # The graph_def is used to retrieve the nodes
output_node_names.split(",") # The output node names are used to select the usefull nodes
)
output_graph="frozen-model-conv6-bat-32.pb"
with tf.gfile.GFile(output_graph, "wb") as f:
f.write(output_graph_def.SerializeToString())
sess.close()

(4) Optimize the model
bazel-bin/tensorflow/tools/graph_transforms/transform_graph
--in_graph=/home/yitao/TF_1.8/tensorflow/my_frozen_pb/frozen-model-conv6-bat-32.pb
--out_graph=/home/yitao/TF_1.8/tensorflow/my_frozen_pb/frozen-model-conv6-bat-32-optimized.pb
--inputs='input'
--outputs='MobilenetV1/Predictions/Reshape'
--transforms='
strip_unused_nodes(type=float, shape="1,32,32,3")
remove_nodes(op=Identity, op=CheckNumerics)
fold_constants(ignore_errors=true)
fold_batch_norms
fold_old_batch_norms

(5) Convert the model to tflite
bazel-bin/tensorflow/contrib/lite/toco/toco
--input_file=/home/yitao/TF_1.8/tensorflow/my_frozen_pb/frozen-model-conv6-bat-32-optimized.pb
--input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE
--output_file=/home/yitao/TF_1.8/tensorflow/my_frozen_pb/frozen-model-conv6-bat-32-optimized.tflite --inference_type=FLOAT
--input_type=FLOAT --input_arrays=input
--seed2
--output_arrays=MobilenetV1/Predictions/Reshape --input_shapes=1,32,32,3
--allow_custom_ops

You can collect some of this information using our environment capture script:

https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh

You can obtain the TensorFlow version with

python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"

Describe the problem

Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.
Not able to train a model from scratch and port it Android to utilize the Android Nerual Network api through TFLite. After training a model and following the steps to convert the graph to tflite model, there are still some ops that are not supported by the TFLite runtime in my graph. What should I do?
Any help is apreciated!

Logcat is throwing the following errors. It seems that those ops are not stripped from the model during the optimization step.

Source code / logs

08-03 15:14:52.183 10271-10271/android.example.com.tflitecamerademo E/AndroidRuntime: FATAL EXCEPTION: main
Process: android.example.com.tflitecamerademo, PID: 10271
java.lang.RuntimeException: Unable to start activity ComponentInfo{android.example.com.tflitecamerademo/com.example.android.tflitecamerademo.CameraActivity}: java.lang.IllegalArgumentException: Internal error: Cannot create interpreter: Didn't find custom op for name 'RandomUniform' with version 1
Didn't find custom op for name 'FLOOR' with version 1
Didn't find custom op for name 'RSQRT' with version 1
Didn't find custom op for name 'FIFOQueueV2' with version 1
Didn't find custom op for name 'QueueDequeueV2' with version 1
Didn't find custom op for name 'SquaredDifference' with version 1
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