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Hello, I was wondering if CROWN and its variants support the verification of models with LSTM layers in the input splitting mode.
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同一个模型,python连板推理没问题,使用RKNPU c++板端部署,结果完全对不上,这是为啥阿?
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* MemCNN version: 1.5.1
* PyTorch version: 1.10.1
* Python version: 3.8.12
* Operating System: Windows 10
### Description
Hi, thank you for making this super useful library publicly available…
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在linear_focus_attention这部分,为什么不对v值进行phi_qs = (F.relu(qs) + 1e-6) / (self.norm_scale.abs() + 1e-6)类似的操作呢?因为我看到论文里公式(15)对Q_s、K_s和V_s都应用了Phi函数
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when running `pytest test/python_fe` on latest version, it returns
```
graph.validate()
graph.build_operation_graph()
graph.create_execution_plans([cudnn.heur_mode.A, cudnn…
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Hello, thanks for your great work firstly. I run your code and get good results.
Then I checked the structure of network and confused about the design of "relu6 -> relu".
For example, in Mobile…
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thank you!
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### 🚀 The feature, motivation and pitch
1. torch.backends.mkldnn.flags() got an unexpected keyword argument 'deterministic'---fixed
cases:
```python
test/xpu/nn/test_convolution_xpu.py::TestConvo…
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Is there any chance that FANN will support the ReLU function as a possible activation function?
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In Seg_Ukan, in archs.py, "__all__" is not defined. So whenever we run train.py, it throws an error.
Solution : In archs.py, before Class : KANLayer add a line :
__all__ = ['UKAN', 'D_ConvLayer'…