I can't reproduce your CRNN steps, Can't Convert the model into IR

[YUBIN__XIAO]

Follow yours guide:

https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_CRNN_From_Tensorflow.html

Can't Convert the model into IR

[ ERROR ]  Cannot infer shapes or values for node "shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/fw/while/LoopCond".
[ ERROR ]  graph_def is invalid at node 'shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/fw/while/LoopCond': Input tensor 'shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/fw/while/Less_port_0_ie_placeholder:0' Cannot convert a tensor of type int32 to an input of type bool.
[ ERROR ]  
[ ERROR ]  It can happen due to bug in custom shape infer function <function tf_native_tf_node_infer at 0x7f7569b70bf8>.
[ ERROR ]  Or because the node inputs have incorrect values/shapes.
[ ERROR ]  Or because input shapes are incorrect (embedded to the model or passed via --input_shape).
[ ERROR ]  Run Model Optimizer with --log_level=DEBUG for more information.
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "shadow/LSTMLayers/stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/fw/while/LoopCond" node. 
 For more information please refer to Model Optimizer FAQ (<INSTALL_DIR>/deployment_tools/documentation/docs/MO_FAQ.html), question #38. 

the attachment is my debug information.

[YUBIN__XIAO]

Waiting for your reply

[Shubha_R_Intel]

Dear YUBIN, XIAO,

You are using the correct steps. If it doesn't work, then it may be a bug - and I'm assuming that you are using the latest OpenVino 2019R1.1. Let me try and reproduce it. Thanks for your patience,

Shubha

[Shubha_R_Intel]

Dear YUBIN, XIAO,

I just now tried exactly the steps outlined in Convert CRNN Models Doc and I had no issues. The specified Model Optimizer command on OpenVino R2019R1.1 produced IR successfully.

My guess is that you didn't install OpenVino properly, perhaps you forgot to install the Model Optimizer pre-requisites ? I'm also on Tensorflow 1.12.0 if it helps.

Thanks,

Shubha