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):Linux Ubuntu 16.04
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:N/A
• TensorFlow installed from (source or binary):source
• TensorFlow version (use command below):1.9.0
• Python version:2.7.3
• Bazel version (if compiling from source):0.12.0
• GCC/Compiler version (if compiling from source):c++11
• CUDA/cuDNN version:7.5.18
• GPU model and memory:TITAN,12GB
• Exact command to reproduce:
  ./bazel-bin/tensorflow/contrib/lite/toco/toco --input_file=/deeplabv3_mobinetv2/frozen_inference_graph.pb --output_file=/deeplabv3_mobinetv2/foo.cc --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE --inference_type=QUANTIZED_UINT8 --input_shape=1,513,513,3 --input_array=ImageTensor --output_array=logits/semantic/BiasAdd --default_ranges_min=0 --default_ranges_max=6 --mean_value=127.5 --std_value=127.5

Describe the problem

I want to use dummy quantization to quantize deeplabv3_mobilenetv2 model "mobilenetv2_coco_voc_trainaug" from https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/model_zoo.md.
But I got the shape operation is not yet implemented.
Do you have plan to implement it?

Source code / logs

2018-07-19 13:49:26.114180: F tensorflow/contrib/lite/toco/graph_transformations/quantize.cc:459] Unimplemented: this graph contains an operator of type Shape for which the quantized form is not yet implemented. Sorry, and patches welcome (that's a relatively fun patch to write, mostly providing the actual quantized arithmetic code for this op).
Aborted (core dumped)