Failed to parse onnx file, Engine creation failed. INT64. Attempting to cast down to INT32

[SunilJB]

I tried both the save model file and getting following error using trtexec execution:
Unsupported ONNX data type: UINT8 (2)
ERROR: image_tensor:0:189 In function importInput:
[8] Assertion failed: convertDtype(onnxDtype.elem_type(), &trtDtype)

Issue seems to be due to incorrect dtype (UINT8) of image_tensor node.
Please refer below link for more details:

tensorrt inference error while load onnx model

Hi, TensorRT only supports FP32, FP16, INT32, and INT8: https://docs.nvidia.com/deeplearning/sdk/tensorrt-api/python_api/infer/FoundationalTypes/DataType.html#tensorrt.DataType UINT8 is not supported as mentioned there. Can you try to use int8 or int32 instead of uint8 before converting your model to ONNX? Alternatively, you could try to use the ONNX API to convert the UINT8 nodes to INT8 or INT32 after training/converting to ONNX, but these could potentially create incorrect results if not h…

Thanks