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Hi there!
In reading your paper, I noticed that Lemma 3.3 is for networks with ReLU activations and it says that the Lipchitz constant used in Lemma 3.1 can be replaced by the maximum norm of direc…
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Hello,
I am using Keras 3.5 with TF 2.17. My code is more or less the following (but it is not a grid search as in the real code I also increment some other variables that are not directly linked to…
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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
).view((0, 4))
print(F.relu(x)) # Works as expected
print(F.leaky_relu(x,…
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trying the code with MobileNet, I face the following error;
```
Traceback (most recent call last):
File "convert.py", line 35, in
keras2caffe.convert(keras_model, caffe_proto, caffe_weigh…
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Hi, Prof. Qi,
I am wondering why there is a ReLU layer at the top of discriminator (shown at line 120 in lsgan.lua)? With this ReLU layer, I found the code cannot train the model at all.
thanks,
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In the line 196,
`gate_network = tf.contrib.layers.fully_connected(
inputs=input,
num_outputs=subexpert_nums,
activation_fn=tf.nn.relu, \
weights_regularizer=l2_r…
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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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**Describe the bug**
It seems as if Relu nodes that immediately follow Conv nodes are getting dropped during quantization (if included in ops_to_quantize). If I understand things correctly, then this…
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