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Published 20 hours ago • verified publisher icon chiehpower
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Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.

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JetPack 4.6 - Python 3.8 - TensorRT works or not?

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# Goal Use Python3.8 to implement TensorRT on Jetson Device # Describe According to `JetPack v4.6`, as we can see, it could support `TensorRT v8.0.1` already. ![2021-12-0355](https://user-images.githubusercontent.com/32332200/144537130-572e858f-6eaf-4b90-949f-5c73334a30bd.png) On Amd64, we...

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Jetson-Device

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Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.

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