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### Team Name:
Coherence
### Project Description:
#### Quantum Neural Network-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling
Th…
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### Describe the issue
So I'm using a development kit based on QCS 8550 SoC with an Ubuntu 22.04 on it, and trying to build onnxruntime-qnn on it for python interface.
I'm following the instructio…
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**Describe the bug**
I have a model with only layers like Conv2d, LeakyReLU, Sigmoids and element-wise multiplications. The model converts successfully, here is an example job: https://app.aihub.qual…
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**Describe the bug**
If a model contains the QNN `ElementWiseSelect` operation, equivalent to `torch.where()`, it converts successfully but the graph fails to finalize on device or in the emulator.
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### Expected behavior
No check for types matching is expected for qnn matmul inputs due to there is no constraint for QLinearMatMul operation in [ONNX documentation](https://github.com/onnx/onnx/blob…
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### Describe the feature request
Creating general issue to track ONNX DX on Windows ARM platform, particularly QNN.
Main problems:
- **Lack of pre-build arm libs/binaries/wheels.**
The n…
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I wonder if anyone have tested the efficiency of ONNX with QNN EQ on cpu or htp?
Or how much faster for inference using the ONNX with QNN EQ than just ONNX alone?
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Hello, I want to know if onnxruntime QNN EP support qualcomm QCS8550 soc?
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I am trying to get this example working on a [Surface Pro 9](https://www.qualcomm.com/products/mobile/snapdragon/pcs-and-tablets/laptop-device-finder/microsoft-surface-pro-9-sq3-5g) but am running int…