無法將onnx模型編譯成nef格式
您好：
我在使用kneron toolchain且想將onnx 模型編譯成nef ，並且依照這個網頁內https://doc.kneron.com/docs/#toolchain/appendix/operators/ 查看支援的算子，但我已經排除了kl720不支援的算子，仍然有以下錯誤：
use toolchain binaries
use toolchain binaries
========================================
Processing model: best
INFO:kneronnxopt:The input model has been checked. Start simplifying.
Checking 0/1...
INFO:kneronnxopt:Start independent preprocessing optimization passes.
INFO:kneronnxopt:Start shape preparation and optimizations.
INFO:kneronnxopt:Start operator related optimizations.
INFO:kneronnxopt:Start pattern related optimizations.
INFO:kneronnxopt:Start independent postprocessing optimization passes.
INFO:kneronnxopt:Comparing inference result between original/optimized ONNX... (add flag '--skip_check' if want to skip this step)
WARNING:kneronnxopt.checker:
Arrays are not almost equal to 4 decimals
Mismatched elements: 99 / 210000 (0.0471%)
Max absolute difference: 0.00024414
Max relative difference: 5.7531443e-06
x: array([1.1304e+01, 1.7465e+01, 2.1873e+01, ..., 3.7253e-06, 2.3246e-06,
3.4571e-06], dtype=float32)
y: array([1.1304e+01, 1.7465e+01, 2.1873e+01, ..., 3.7253e-06, 2.3246e-06,
3.4571e-06], dtype=float32)
WARNING:kneronnxopt:The optimized model might not be correct.
INFO:kneronnxopt:The input model has been checked. Start simplifying.
Checking 0/1...
INFO:kneronnxopt:Start independent preprocessing optimization passes.
INFO:kneronnxopt:Start shape preparation and optimizations.
INFO:kneronnxopt:Start operator related optimizations.
INFO:kneronnxopt:Start pattern related optimizations.
INFO:kneronnxopt:Start independent postprocessing optimization passes.
INFO:kneronnxopt:Comparing inference result between original/optimized ONNX... (add flag '--skip_check' if want to skip this step)
INFO:kneronnxopt.checker:Two models have the same behaviour.
ERROR:root: Failure for model "best_optimized/best_optimized" when running "kdp720/compiler frontend"
===========================================
= report on flow status =
===========================================
kdp720 general
compiler frontend compiler_cfg clean_opt nef_model_id model oversize post_clean onnx size (MB)
category case
best_optimized best_optimized Err: 134 ✓ ✓ 32768 ✓ ✓ 9
[2025-11-25 15:24:10] [debug] [Thread: 834] [/projects_src/kneron-piano_v2/dynasty/floating_point/floating_point/src/common/BaseInferencerImpl.cpp:63]
start to create operators....
[2025-11-25 15:24:10] [debug] [Thread: 834] [/projects_src/kneron-piano_v2/dynasty/floating_point/floating_point/src/common/BaseInferencerImpl.cpp:102]
The model allocated space: 585.29252 Mbytes( including workspace: 0.0 Mbytes)
Section 3 E2E simulator finished.
ERROR:root: Failure for model "best_optimized/best_optimized" when running "kdp720/compiler frontend"
===========================================
= report on flow status =
===========================================
kdp720 general
compiler frontend compiler_cfg clean_opt nef_model_id model oversize post_clean onnx size (MB)
category case
best_optimized best_optimized Err: 134 ✓ ✓ 32768 ✓ ✓ 9
Workflow failed!
Quantization model generation failed. See above message for details.
在此附上我的模型以及編譯腳本
希望能幫我解惑，到底是哪裡有問題，導致無法編譯成功。
Comments
您好，
感謝您回報此問題。我們建議您將optimized後的模型裡面Concat以下的operators剪掉之後再去做轉換，如下圖。您可以再把剪掉的operators加回去postprocess裡面。