Encountered an issue: NPU acceleration cannot be enabled for F28P55 even after configuring settings strictly in accordance with official documents.

[chw-ob]

I have a pre-trained fully connected model that I exported as an ONNX model. I configured the YAML file according to the TensorLab documentation, but I still cannot export it as an NPU model.

The YAML file is as follows

The execution command is as follows

python tinyml_modelmaker\run_tinyml_modelmaker.py test.yaml

The running log is as follows

(tinyml-tensorlab) PS E:\study\code\tinyml\tinyml-tensorlab\tinyml-modelmaker> python tinyml_modelmaker\run_tinyml_modelmaker.py test.yaml
argv: ['tinyml_modelmaker\run_tinyml_modelmaker.py', 'test.yaml']
Auto-detected data_dir='files' for task_category='timeseries_forecasting'
Run params is at: E:\study\code\tinyml\tinyml-tensorlab\tinyml-modelmaker\data\projects\test_model\run\20260520-224559/fcn\run.yaml
INFO: root : TinyVerse Toolchain Version: 01_03_00
INFO: root : Script: ..........\desktop\python3.10\LightRAG\tinyml-tensorlab\lib\site-packages\tinyml_tinyverse\references\common\compilation.py
INFO: root : Target: c, ti-npu type=soft
INFO: root : Compilation settings - skip_normalize: False ('false' for float models, 'true' otherwise)
INFO: root : Compilation settings - output_int: False ('false' for float models, 'true/false' otherwise)
INFO: root : Compilation settings - ti-npu type: soft ('soft' for float models/generic quantized models, 'soft/hard' otherwise)
INFO: root.gen_artifacts : Changing directory to: E:\study\code\tinyml\tinyml-tensorlab\tinyml-modelmaker\data\projects\test_model\run\20260520-224559\fcn\compilation
INFO: root.gen_artifacts : Calling TVM to generate artifacts:
INFO: ti_mcu_nnc : ============================================================
INFO: ti_mcu_nnc : TI Optimized Software Library Offloading Report