ERROR] Network has dynamic or shape inputs, but no optimization

I want to use the tao-converter file (on the jetson nx) to convert the unet model .etlt to int8 engine but get the error: [INFO] Detected input dimensions from the model: (-1, 1, 320, 320) [INFO] Model has dynamic shape. Setting up optimization profiles. [INFO] Using optimization profile min shape: (1, 1, 320, 320) for input: input_1:0 [INFO] Using optimization profile opt shape: (4, 1, 320, 320) for input: input_1:0 [INFO] Using optimization profile max shape: (16, 1, 320, 320) for input

GitHub - PINTO0309/onnx2tf: Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't

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ERROR] Model has dynamic shape but no optimization profile specified. Aborted (core dumped) - TAO Toolkit - NVIDIA Developer Forums

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Network has dynamic or shape inputs but no optimization profiles have been defined - TensorRT - NVIDIA Developer Forums