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I've been using the insightface inswapper onnx model for face swapping and it works great. I am trying to run the model in Jetson device with tensorrt v8.5. For this, CUDAExecutionProvider is used with onnx model but the inference time is too low with around 5 FPS.
I tried to convert the onnx model to tensorrt model using different approaches like trtexec, polygraphy but during conversion it shows following error. ONNX model generated with INT64 while TensorRT does not support INT64 Attempting to cast to INT32. Segmentation fault
Is there any tensorrt model already available that is compatible with tensorrt v8.5? Or is there any approach to convert it?
Any help would be appreciated.
The text was updated successfully, but these errors were encountered:
I've been using the insightface inswapper onnx model for face swapping and it works great. I am trying to run the model in Jetson device with tensorrt v8.5. For this, CUDAExecutionProvider is used with onnx model but the inference time is too low with around 5 FPS.
I tried to convert the onnx model to tensorrt model using different approaches like trtexec, polygraphy but during conversion it shows following error.
ONNX model generated with INT64 while TensorRT does not support INT64 Attempting to cast to INT32. Segmentation fault
Is there any tensorrt model already available that is compatible with tensorrt v8.5? Or is there any approach to convert it?
Any help would be appreciated.
The text was updated successfully, but these errors were encountered: