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I follow the instruction in [https://pytorch.org/executorch/main/build-run-qualcomm-ai-engine-direct-backend.html](https://github.com/pytorch/executorch/issues/url) and finish the following steps:
cd…
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I have a Spiking convolutional neural network. It uses the Leaky(Leaky Integrate and Fire) neuron from [SNNTorch ](https://snntorch.readthedocs.io/en/latest/snntorch.html)library as activation functio…
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Hi,
I was wondering how are you guys dealing with GroupNorm. I discovered the following weird situation in S8G2 DSP (HTP, chipset: SM8550).
| GroupNorm(`groups=32`) | 1, 64, 512, 512 | 1, 64, 256,…
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**Category**: general
**Repository**: https://github.com/iotaisolutions/hackathon-submission
**Mentors**:
- No Mentor
**Members**:
- Anuj Mehrotra,@iotaisolutions, IOTAONEIQ Solutions Pvt…
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Hi,
Could you share the sample Android App to run Llama-v2-7B-Chat Quantized INT4 on my Android Device ?
your sample "python -m qai_hub_models.models.llama_v2_7b_chat_quantized.export"
generate…
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(qnn) root@gpu_h20:/nvme/shanghai-2/ltg/aimet/build# cmake .. -DCMAKE_EXPORT_COMPILE_COMMANDS=ON -DENABLE_CUDA=ON -DENABLE_TORCH=ON -DENABLE_TENSORFLOW=ON -DENABLE_ONNX=ON
-- The C compiler identific…
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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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**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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Hi:
I tried QAT on a model and exported the encodings. Then, I used the qnn-onnx-converter with --quantization_overrides and --input_list trying to put min/max/scale value after QAT into the converte…
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### Describe the issue
Conv3D support should be added to the QNN Delegate. Without it, 3D convs fall off to CPU.
This affects models like ResNet3D--the entire model is not able to run on QNN becau…
kory updated
2 months ago