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when i use a simple net for testing
```
class simpleNet(nn.Module):
def __init__(self) -> None:
super(simpleNet,self).__init__()
self.linear_input = nn.Linear(64,100)
self.relu = n…
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### 🐛 Describe the bug
At main - `python benchmarks/dynamo/timm_models.py --performance --cold-start-latency --inference --bfloat16 --backend inductor --disable-cudagraphs --device cuda --only=pnasne…
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Hi. Sorry for spam. But I'm trying to understand deeply how it works. And where this loss comes from and why etc. One of the things that improved ML were optimizers and activation functions. At first …
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I have a CNN model. I used the hls4ml and all file and bitfile generated completely. Now I used the deployment code to implement on FPGA(ZCU104), the prediction output of FPGA is always Zero.
**Tot…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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**It seems that the output of each block doesn't go trough the activation function,while only the last layer's output should be linear,as being mentioned in the paper**
"
class fineNet(nn.Module):
…
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Frontend functions need to be added for the following torch._VF functions:
- `torch._VF.rnn_tanh`
- `torch._VF.rnn_relu`
- `torch._VF.gru`
- `torch._VF.rnn_tanh_cell`
- `torch._VF.rnn_relu_cell…
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Hey, totally random but kind of interesting. Hopefully not something people already know.
One interesting property of the `IEEE 754` floating-point specification is that `x/0` where x!=0 is equal …