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Thanks for your error report and we appreciate it a lot.
**Checklist**
1. I have searched related issues but cannot get the expected help.
2. The bug has not been fixed in the latest version.
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大佬
class Resnet50里
features = list([model.conv1, model.bn1, model.relu, model.maxpool, model.layer1, model.layer2, model.layer3])
classifier = list([model.layer4, model.avgpool])
feature是不完整的resne…
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I'm really impressed with your docker-ocserv project.
Deploying an OpenConnect server has never been easier.
I noticed that the caddy-l4 plugin now supports Caddyfile, and considering you're a …
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Hi there, I'd love to use the layer4 app without giving up on the Caddyfile, since it's YAMLness makes it easy for me to configure.
Could your layer4 extension be used for the following scenario:
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the first three conv layers asked the input to be like [batch, freq_bin, time_len, in_channels]
```python
''' Parameters:
maxTimeSteps: maximum time steps of input spectrogram power
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### Trained the model with custom dataset and when trying to test it with demo.py file, It gives an the below error
#Error
['model input parameters 32 100 20 1 512 256 38 25 TPS ResNet BiLSTM Attn',…
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change "h*" to "w*" for weights.
def DeepMLPClassifier(_X, _weights, _biases, dropout_keep_prob):
layer1 = tf.nn.dropout(tf.nn.tanh(tf.add(tf.matmul(_X, _weights['h1']), _biases['b1'])), dro…
eume1 updated
5 years ago
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Hello, I would like to ask which model should be used for inference during testing? I am getting some errors while loading the model.
RuntimeError: Error(s) in loading state_dict for IHN:
Unexpec…
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https://hub.docker.com/r/pocat/naiveproxy mentions the image container caddy-l4 module, however it doesn't seem to be the case as a config using layer4 will result in:
naiveproxy | Error: adapting…
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