Hi
I failed to build the engine using the methods in this blog.
Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and NVIDIA TensorRT | NVIDIA Technical Blog
The error message is as follows:
python3 buildEngine.py --onnx_file /home/nvidia/resnet50.onnx --plan_file resnet50.plan
Traceback (most recent call last):
File “buildEngine.py”, line 30, in
main(args)
File “buildEngine.py”, line 21, in main
engine = eng.build_engine(onnx_path, shape= shape)
File “/home/nvidia/下载/tf2_code/engine.py”, line 14, in build_engine
with trt.Builder(TRT_LOGGER) as builder,
AttributeError: enter
Dear @user123137,
May I know the Jetpack version? We have ResNet50.onnx model as part of TRT sample. Did you check using it directly?
Hi
Jetpack’s version is 4.5.1.Whether it is a low version?
I used Onnx.checker.check_model method to check it and it has no problem.
Thank you for your answer.
Can Jetpack 4.5.1 and L4T 32.5.1 be upgraded with package management tools instead of SD card and Sdkmanager?
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