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I have exported the MS Clap model into ONNX and run it on both the CPU and NPU. However, there is an accuracy discrepancy between the CPU and NPU results. Here is the setup I used:
Python: 3.10
ORT: onnxruntime-qnn version 1.20.0
MS Clap model: 2023
To reproduce
We have uploaded the script to export and compare the results, the model, as well as testdata.npy.
Please help us debug the issue and let me know if you
Describe the issue
I have exported the MS Clap model into ONNX and run it on both the CPU and NPU. However, there is an accuracy discrepancy between the CPU and NPU results. Here is the setup I used:
To reproduce
We have uploaded the script to export and compare the results, the model, as well as testdata.npy.
Please help us debug the issue and let me know if you
MSClap.zip
Urgency
ASAP
Platform
Windows
OS Version
11
ONNX Runtime Installation
Released Package
ONNX Runtime Version or Commit ID
ONNX Runtime QNN v1.20.0
ONNX Runtime API
Python
Architecture
ARM64
Execution Provider
Other / Unknown
Execution Provider Library Version
ONNX Runtime QNN v1.20.0
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