Deploy a custom model on NCS2 and report an error when converting the tf model to IR

[yu__jia]

I follow this link to freeze the model，http://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow.html#freeze-the-tensorflow-model

 but when I use ：python mo_tf.py --input_meta_graph C:\Users\86178\PycharmProjects\python\cnn-1.ckpt.meta --input input/x-input --input_shape [100,784]，

I got an error ：[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.front.input_cut.InputCut'>): --input parameter was provided. Other inputs are needed for output computation. Provide more inputs or choose another place to cut the net.
 For more information please refer to Model Optimizer FAQ (<INSTALL_DIR>/deployment_tools/documentation/docs/MO_FAQ.html), question #27

what should I do？

[Shubha_R_Intel]

Dear yu, jia,

Perhaps your Tensorflow model is not supported. Please check The Model Optimizer Tensorflow Supported List to see which models have been validated by the OpenVino team.

Thanks,

Shubha