Got RuntimeError after running import ngraph with resnet example

[minus-one]

Got this error after running the import_onnx_model command following the example for resnet50
Running onnx 1.3 and python 3.5.2

ng_models = import_onnx_model(onnx_pb)
ONNX ai.onnx opset version 8 is not supported. Falling back to latest supported version: 7
More than one different shape in input nodes [<Constant: 'Constant_289' ([])>, <BatchNormInference: 'gpu_0/res2_0_branch2c_bn_1' ([1, 256, 56, 56])>].
More than one different data type in input nodes [<Constant: 'Constant_289' ([])>, <BatchNormInference: 'gpu_0/res2_0_branch2c_bn_1' ([1, 256, 56, 56])>].
truncated traceback:
RuntimeError: While validating node 'Add[Add_292](Broadcast_290: int64_t{1,256,56,56}, Broadcast_291: float{1,256,56,56})' of type 'Add':
Assertion 'element::Type::merge(element_type, element_type, get_input_element_type(i))' failed at /root/ng/src/ngraph/node.cpp:451:
Argument element types are inconsistent.

Tried converting the model to opset v7 and still no luck.

[postrational]

What is the source of the model you were trying to import?