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Lam__Carson
Beginner
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After re-inference of Add2_157 node, old and new shapes do not match.

Model Optimizer arguments:
Common parameters:
    - Path to the Input Model:   /onnx/test1.onnx
    - Path for generated IR:     /NCS/bin_xml/FP16
    - IR output name:     test1
    - Log level:     ERROR
    - 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:     [1,3,1024,1024]
    - Mean values:     Not specified
    - Scale values:     [255,255,255]
    - Scale factor:     Not specified
    - Precision of IR:     FP16
    - Enable fusing:     False
    - Enable grouped convolutions fusing:     False
    - Move mean values to preprocess section:     False
    - Reverse input channels:     False
ONNX specific parameters:
Model Optimizer version:     1.5.12.49d067a0
[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  After re-inference of Add2_157 node, old and new shapes do not match. Old shapes: [array([  1,  16, 128, 128])], new shapes: [array([ 16,   1,  16, 128, 128])].
[ ERROR ]  Traceback (most recent call last):
  File "/home/carson/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/main.py", line 325, in main
    return driver(argv)
  File "/home/carson/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/main.py", line 302, in driver
    mean_scale_values=mean_scale)
  File "/home/carson/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/pipeline/onnx.py", line 152, in driver
    convert_batch_norm(graph)
  File "/home/carson/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/middle/passes/fusing/decomposition.py", line 78, in convert_batch_norm
    _fused_batch_norm_decomposition(graph, tinput, toutput, const, beta, scale, shift, can_be_fused)
  File "/home/carson/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/middle/passes/fusing/decomposition.py", line 113, in _fused_batch_norm_decomposition
    data_nodes=toutput)
  File "/home/carson/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/ops/op.py", line 204, in create_node_with_data
    [data_node.shape for data_node in data_nodes])
AssertionError: After re-inference of Add2_157 node, old and new shapes do not match. Old shapes: [array([  1,  16, 128, 128])], new shapes: [array([ 16,   1,  16, 128, 128])].

[ ERROR ]  ---------------- END OF BUG REPORT --------------
[ ERROR ]  -------------------------------------------------
 

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