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HI guys,
How are you ? , I'm running an annoying problem trying converting this pre-trained tensor flow model.
Im using this cmd to convert it :
mo.py --input_model ./graph.pb --output_dir ./result --input_model_is_text
First, I got : [ ERROR ] Shape [-1 25 25 3] is not fully defined for output 0 of "x_input". Use --input_shape with positive integers to override model input shapes.
I managed to change it on the XML file ( I don't know if It will affect my prediction accuracy, actually I'm just trying to convert it )
node { name: "x_input" op: "Placeholder" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value { shape { dim { size: 1 } dim { size: 25 } dim { size: 25 } dim { size: 3 } } } } }
Then I got this error : Stopped shape/value propagation at "GatherNd_2" node.
For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.
Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>):
Stopped shape/value propagation at "GatherNd_2" node.
For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.
38. What does the message "Stopped shape/value propagation at node" mean?
Model Optimizer cannot infer shapes or values for the specified node. It can happen because of a bug in the custom shape infer function, because the node inputs have incorrect values/shapes, or because the input shapes are incorrect.
What It's supposed to be the correct shape ?
this is the node on the XML file :
node { name: "GatherNd_2" op: "GatherNd" input: "Reshape_1" input: "stack_5" attr { key: "Tindices" value { type: DT_INT32 } } attr { key: "Tparams" value { type: DT_FLOAT } } }
Model Optimizer arguments: Common parameters: - Path to the Input Model: graph.bp - Path for generated IR: ./result - IR output name: graph - Log level: DEBUG - Batch: Not specified, inherited from the model - Input layers: Not specified, inherited from the model - Output layers: Not specified, inherited from the model - Input shapes: Not specified, inherited from the model - Mean values: Not specified - Scale values: Not specified - Scale factor: Not specified - Precision of IR: FP32 - Enable fusing: True - Enable grouped convolutions fusing: True - Move mean values to preprocess section: False - Reverse input channels: False TensorFlow specific parameters: - Input model in text protobuf format: True - Path to model dump for TensorBoard: None - List of shared libraries with TensorFlow custom layers implementation: None - Update the configuration file with input/output node names: None - Use configuration file used to generate the model with Object Detection API: None - Operations to offload: None - Patterns to offload: None - Use the config file: None Model Optimizer version: 2019.3.0-408-gac8584cb7
Thank you.
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Hi Andres,
Are you able to link me to the original Tensorflow model? I'd like to take a look at the original model.
Thank you,
Sahira
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Hello Saira,
Did you have any time to look in to this error ?
I'm stuck with this a little bit , any help will be appreciated.
Thank you very much again !
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