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### 🐛 Describe the bug
```
import torch
import torch.nn.functional as F
x = torch.tensor([], device=torch.device('mps')).view((0, 4))
print(F.relu(x)) # Works as expected
print(F.leaky_relu(x,…
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Dear developers,
I am getting the following exception when trying to embed a ReLU network in my optimization model:
Exception has occurred: TypeError
'>' not supported between instances of 'N…
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First of all, thank you for your great work.
In the paper (Section: Ablation on Simple-FFT-ReLU Stream), it is mentioned that different thresholds for ReLU can show better results. However, I canno…
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Add and test the activation function: LeakyReLU.
Which is proved to enhance performance over normal ReLU.
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hello,
Thanks for your sharing deeplab code.I get the relu in assp and conv (all except last conv) from tensorflow source code, but I don't get in in you pytorch code.Did not it needed or?
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HI, The gemm + relu has many times in my inference.(In amd, we call rocblas backend) So I wanna know is there matmul + relu implementation in rocBlas. Thanks in advance for any help.
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Adicionar função de ativação ReLu.
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Hi Guys, I don't get how Relu and dropout work in problem 3.3, let me know if you have any suggestions.
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