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def stem(x):
for conv, bn in [(self.conv1, self.bn1), (self.conv2, self.bn2), (self.conv3, self.bn3)]:
x = self.relu(bn(conv(x)))
x = self.avgpool(x)…
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Hi there!
I could not quite understand why reluifying a maxpool operation can happen only when it comes after relu.
I'm referring to [this line of code](https://github.com/dlshriver/dnnv/blob/d4f5…
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## 🚀 Feature
CuDNN can support RN50 batchnorm fusions (and their symmetric backward counterparts) like:
- BatchNorm + Relu
- BatchNorm + Add + Relu
Above fusions also support fp8 quantization ar…
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Hi,
I am following the tutorial https://blog.espressif.com/hand-gesture-recognition-on-esp32-s3-with-esp-deep-learning-176d7e13fd37 and have been getting issue on quantization step.
My python ve…
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**Describe the bug**
I tried to use auto_LiRPA to verify the robustness of my audio processing model. Unfortunately, when I use `model.compute_bounds`, a `RuntimeError: The following operation failed…
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When I try to train a original SuperpointNet(without batch normal), but the training results will not converge. Is there any parameter I need to modified?
![image](https://github.com/eric-yyjau/pyto…
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hi I have trouble with the logic of processors in yaml file for example
HWC (little data) configuration for CIFAR-100
Simple Model
arch: ai85ressimplenet
dataset: CIFAR100
layers:
Layer 0
…
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### 🐛 Describe the bug
import torch.nn as nn
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class CRNN(nn.Module):
def __init__(self, img_channel…
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## error log | 日志或报错信息 | ログ
## model | 模型 | モデル
1. original model
原始模型输出是这三个特征
![Screenshot from 2024-06-12 19-19-28](https://github.com/Tencent/ncnn/assets/42864810/9a4b6d28-d9d7-410a-a5b5-e814…