Unexpected exception happened during extracting attributes for ..

[sumsuddin]

I was trying to convert a Caffe model using mo_caffe.py script. I always get errors like below, but in random nodes (all have the common "BatchNorm" op) . Trained the model using Nvidia-Digits (https://github.com/NVIDIA/DIGITS)

Model Optimizer arguments:
Common parameters:
        - Path to the Input Model:      /home/deploy.caffemodel
        - Path for generated IR:        /dldt/model-optimizer/.
        - IR output name:       deploy
        - Log level:    INFO
        - 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
Caffe specific parameters:
        - Path to Python Caffe* parser generated from caffe.proto:      mo/front/caffe/proto
        - Enable resnet optimization:   True
        - Path to the Input prototxt:   /home/deploy.prototxt
        - Path to CustomLayersMapping.xml:      Default
        - Path to a mean file:  Not specified
        - Offsets for a mean file:      Not specified
Model Optimizer version:        unknown version
[ INFO ]  Importing extensions from: /dldt/model-optimizer/mo
[ INFO ]  New subclass: <class 'mo.ops.crop.Crop'>
[ INFO ]  Registered a new subclass with key: Crop
[ INFO ]  New subclass: <class 'mo.ops.deformable_convolution.DeformableConvolution'>
[ INFO ]  Registered a new subclass with key: DeformableConvolution
[ INFO ]  New subclass: <class 'mo.ops.concat.Concat'>
[ INFO ]  Registered a new subclass with key: Concat
[ INFO ]  New subclass: <class 'mo.ops.split.Split'>
...
Some log info. I don't think anything interesting here.
...
[ WARNING ]  Skipped <class 'extensions.front.override_batch.OverrideBatch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.TopKNormalize.TopKNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'> registration because it was already registered or it was
disabled.
[ WARNING ]  Skipped <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it wa
s disabled.
[ WARNING ]  Skipped <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'> registration because it was already registered or i
t was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.restore_ports.RestorePorts'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.softmax.SoftmaxFromKeras'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'> registration because it was already registered or it was
disabled.
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it
was disabled.
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Node attributes: {'_in_ports': {}, 'model_pb': name: "conv2_3_sep_bn_left"
type: "BatchNorm"
bottom: "conv2_3_sep_left"
top: "conv2_3_sep_left"
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
blobs {                                                                                                                                      [0/1963]
  shape {
    dim: 32
  }
}
blobs {
  shape {
    dim: 32
  }
}
blobs {
  shape {
    dim: 1
  }
}
phase: TRAIN
, 'kind': 'op', '_out_ports': {}, 'pb': name: "conv2_3_sep_bn_left"
type: "BatchNorm"
bottom: "conv2_3_sep_left"
top: "conv2_3_sep_left"
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
, 'type': 'Parameter'}
[ ERROR ]  Unexpected exception happened during extracting attributes for node relu1.
Original exception message: list index (0) out of range

And occasionally get the following bug report

[ WARNING ]  Skipped <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'> registration because it was already registered or i
t was disabled.
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.restore_ports.RestorePorts'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'> registration because it was already registered or it was
disabled.
[ WARNING ]  Skipped <class 'extensions.front.softmax.SoftmaxFromKeras'> registration because it was already registered or it was disabled.
[ WARNING ]  Node attributes: {'pb': name: "conv2_1_dw_bn_left"
type: "BatchNorm"
bottom: "conv2_1_dw_left"
top: "conv2_1_dw_left"
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
, 'model_pb': name: "conv2_1_dw_bn_left"
type: "BatchNorm"
bottom: "conv2_1_dw_left"
top: "conv2_1_dw_left"
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
param {
  lr_mult: 0.0
  decay_mult: 0.0
}
blobs {
  shape {
    dim: 8
  }
}
blobs {
  shape {
    dim: 8
  }
}
blobs {
  shape {
    dim: 1
  }
}
phase: TRAIN
, 'type': 'Parameter', 'kind': 'op', '_out_ports': {}, '_in_ports': {}}
[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  local variable 'new_attrs' referenced before assignment
[ ERROR ]  Traceback (most recent call last):
  File "/dldt/model-optimizer/mo/front/extractor.py", line 608, in extract_node_attrs
    supported, new_attrs = extractor(Node(graph, node))
  File "/dldt/model-optimizer/mo/pipeline/caffe.py", line 91, in <lambda>
    extract_node_attrs(graph, lambda node: caffe_extractor(node, check_for_duplicates(caffe_type_extractors)))
  File "/dldt/model-optimizer/mo/front/caffe/extractor.py", line 99, in caffe_extractor
    attrs = caffe_type_extractors[name](node)
  File "/dldt/model-optimizer/mo/front/caffe/extractor.py", line 36, in <lambda>
    return lambda node: pb_extractor(node.pb, node.model_pb)
  File "/dldt/model-optimizer/mo/front/caffe/extractors/batchnorm.py", line 52, in batch_norm_ext
    scale = blobs[2].data[0]
IndexError: list index (0) out of range

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/dldt/model-optim
```izer/mo/main.py", line 302, in main
    return driver(argv)
  File "/dldt/model-optimizer/mo/main.py", line 261, in driver
    custom_layers_mapping_path=custom_layers_mapping_path)
  File "/dldt/model-optimizer/mo/pipeline/caffe.py", line 91, in driver
    extract_node_attrs(graph, lambda node: caffe_extractor(node, check_for_duplicates(caffe_type_extractors)))
  File "/dldt/model-optimizer/mo/front/extractor.py", line 614, in extract_node_attrs
    new_attrs['name'] if 'name' in new_attrs else '<UNKNOWN>',
UnboundLocalError: local variable 'new_attrs' referenced before assignment

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

Here are the model files extracted and zipped in both format

https://drive.google.com/drive/folders/1yjRrDRIpO0nzIENYbaD_IOuRXVCvbEpH?usp=sharing

Other Caffe model converts with no issues. I think this error is specific to this particular model

[sumsuddin]

Fixed here