When i run the tensorrt/samples/samplesONNXMNIST/samplesONNXMNIST.cpp. I meet this errors:
Input filename: …/data/mnist/resnet18.onnx
ONNX IR version: 0.0.4
Opset version: 9
Producer name: pytorch
Producer version: 1.1
Model version: 0
WARNING: ONNX model has a newer ir_version (0.0.4) than this parser was built against (0.0.3).
While parsing node number 69 [Gather -> “192”]:
ERROR: /home/erisuser/p4sw/sw/gpgpu/MachineLearning/DIT/release/5.0/parsers/onnxOpenSource/ModelImporter.cpp:142 In function importNode:
 No importer registered for op: Gather
ERROR: failed to parse onnx file
I was transferring an onnx model to tensorrt. The onnx model comes from pytorch pretrained model. I tried standard resnet50, and use The torch.onnx.export() function. When parsing this generated onnx model, it always appears the above error.but i use the mnist.onnx which is the offical model.it is ok.
Besides,I run it on tx2. but tx2 the lastest version just support tensorRT5.0. I can not install tensorRT5.1 on tx2.Because these files are compiled for x86-64 architecture not arm64 which TX2 used. Please help me. Thanks first!