ONNX shape inference failed: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Failed to load model with error: /onnxruntime_src/onnxruntime/core/graph/model.cc:147 onnxruntime::Model::Model(onnx::ModelProto&&, const PathString&, const IOnnxRuntimeOpSchemaRegistryList*, const onnxruntime::logging::Logger&, const onnxruntime::ModelOptions&) Unsupported model IR version: 9, max supported IR version: 8
[info] Unable to simplify the model: '/model.2/Split_output_0
also I tried 3.29.0 2.13.0 versions like: hailo_dataflow_compiler-3.29.0-py3-none-linux_x86_64.whl and hailo_model_zoo-2.13.0-py3-none-any.whl and it still doesn’t work because of numpy version incorrection.
The question why my command doesn’t work?
hailomz compile yolov8s --ckpt=best.onnx --hw-arch hailo8l --calib-path train/images --classes 3 --performance
with these successfully installed libs?
I also try use docker, install DFC 3.30.0 and hailomz 1.12 and got issue when Quantization-Aware Fine-Tuning “hailo_model_optimization.acceleras.utils.acceleras_exceptions.SubprocessUnexpectedFailure: Subprocess step2 failed with unexpected error. exitcode -7”