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Hi, I am testing my DNN model on linux using version 2018.3.343 of OpenVINO. I have installed OpenVINO correctly refering to the OpenVINO Installation Guide. But while running model-optimizer, internal error occurs and the log is following. On previous version 2018.2.319, always succeeded.
Common parameters:
- Path to the Input Model: /home/dna01/Projects/Evo/Workspace/CaffeModels/LPBQD/train1-ss_iter_33500.caffemodel
- Path for generated IR: /home/dna01/Projects/Evo/Workspace/CaffeModels/LPBQD/FP16
- IR output name: LPBQD-Extra
- Log level: ERROR
- Batch: 1
- Input layers: conv-qloc_c1,conv-qloc_c2,conv-qloc_c3,conv-qloc_c4
- Output layers: sm-qloc_c1,sm-qloc_c2,sm-qloc_c3,sm-qloc_c4
- Input shapes: Not specified, inherited from the model
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP16
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: False
- Reverse input channels: False
Caffe specific parameters:
- Enable resnet optimization: True
- Path to the Input prototxt: /home/dna01/Projects/Evo/Workspace/CaffeModels/LPBQD/deploy.prototxt
- Path to CustomLayersMapping.xml: Default
- Path to a mean file: Not specified
- Offsets for a mean file: Not specified
Model Optimizer version: 1.2.185.5335e231
[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] '<' not supported between instances of 'NoneType' and 'int'
[ ERROR ] Traceback (most recent call last):
File "/home/dna01/local/opt/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/main.py", line 321, in main
return driver(argv)
File "/home/dna01/local/opt/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/main.py", line 275, in driver
custom_layers_mapping_path=custom_layers_mapping_path)
File "/home/dna01/local/opt/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/pipeline/caffe.py", line 231, in driver
input_names=input_names)
File "/home/dna01/local/opt/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/pipeline/common.py", line 76, in prepare_emit_ir
port_renumber(graph)
File "/home/dna01/local/opt/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/back/ie_ir_ver_2/emitter.py", line 335, in port_renumber
for u, d in get_sorted_inputs(node):
File "/home/dna01/local/opt/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/graph/graph.py", line 290, in get_sorted_inputs
return sorted([x for x in get_inputs(node.graph, node.node) if 'in' in x[1]], key=lambda x: x[1]['in'])
TypeError: '<' not supported between instances of 'NoneType' and 'int'
[ ERROR ] -------------------------------------------------
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Hi,
Do you mind attaching your model's files so I can reproduce the issue on my end and providing the command line you used?
Kind Regards,
Monique Jones
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I have a similar issue when I am trying to run a Mxnet (Resnet50 model).
Here is the bug report.
Model Optimizer version: unknown version
[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] 3
[ ERROR ] Traceback (most recent call last):
File "/home/nfawad/openvino/dldt/model-optimizer/mo/main.py", line 312, in main
return driver(argv)
File "/home/nfawad/openvino/dldt/model-optimizer/mo/main.py", line 278, in driver
ret_res = mo_mxnet.driver(argv, argv.input_model, model_name, argv.output_dir)
File "/home/nfawad/openvino/dldt/model-optimizer/mo/pipeline/mx.py", line 95, in driver
convert_batch_norm(graph)
File "/home/nfawad/openvino/dldt/model-optimizer/mo/middle/passes/fusing/decomposition.py", line 48, in convert_batch_norm
mean = node.in_node(3)
File "/home/nfawad/openvino/dldt/model-optimizer/mo/graph/graph.py", line 139, in in_node
return self.in_nodes(control_flow=control_flow)[key]
KeyError: 3
[ ERROR ] ---------------- END OF BUG REPORT --------------
[ ERROR ] -------------------------------------------------
Command line used:
python3 mo.py --framework mxnet --input_model mxnetmodels/resnet50/resnet-50-0000.params --input_shape [1,3,224,224]
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Dear Nofil F.,
From where are you getting this MxNet model ? Are you following The MO MxNet Conversion Doc instructions ?
Thanks,
Shubha
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