I tried importing any ONNX model:
ONNX IR version: 0.0.3
Opset version: 6
Producer name: pytorch
Producer version: 0.3
Model version: 0
ERROR: (Unnamed Layer* 76) [ElementWise]: elementwise inputs must have same dimensions or follow broadcast rules (input dimensions were [256,16,32] and [256,15,31])
While parsing node number 80 [Conv -> “321”]:
ERROR: /home/erisuser/p4sw/sw/gpgpu/MachineLearning/DIT/release/5.0/parsers/onnxOpenSource/builtin_op_importers.cpp:430 In function importConv:
 Assertion failed: tensor_ptr->getDimensions().nbDims == 3
ERROR: failed to parse onnx file
I also see in the Tensorrt guide says "The ONNX Parser shipped with TensorRT 5.0 RC supports ONNX IR (Intermediate Representation) version 0.0.3, opeset version 7.
In general, the newer version of the ONNX Parser is designed to be backward compatible, therefore, encountering a model file produced by an earlier version of ONNX exporter should not cause a problem"
Did anyone else encounter a similar problem/situation?