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hi,
When creating Class AlexNet, self.fc goes like this:
****************************************
self.fc = nn.Sequential(
nn.Linear(1*1*256, 4096),
nn.ReLU(inplace=True),…
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I ran an AlexNet code to train the MNIST dataset and get this error. What does it mean? And how to slove it??
```
Traceback (most recent call last):
File "alexnet_mnist.py", line 161, in
pr…
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## 🐛 Bug
Hello!
I try to run a deep learning task on CIFAR10 using Opacus, but I get "ValueError: Per sample gradient is not initialized. Not updated in backward pass?" error. I have seen the disc…
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Hi, I'm having issue with gpgpu-sim with pytorch when testing mnist program.
I use shared library when building pytorch :libcudnn.so libcublas.so
And when mnist program is trying to call "nn.linear"…
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Hi, I think the use of running_mean and running_var during training time in BatchNorm causes training instability and increased learning_rate sensitivity. With momentum low (say 0.5) the layer works …
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Hello @mrjel :
I cloned your code to my cpu-only computer. I follow the instructions in your readme.md. when I run the mnist example, I got a RuntimeError. Here is the error:
```
warnings.warn('W…
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Hi I want to train a NN for the MNIST dataset on the PC.
How can I implement a training of a NN with multiple output neurons.
When I am editing the example ([link](https://create.arduino.cc/project…
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Hi Hugh, thanks for this nice software, when I run the example code of MNIST, it shows the following error,
Connected to pydev debugger (build 171.4694.67)
$ Invalid argument 2: 3D or 4D input ten…
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### Bug description
When restarting from an existing checkpoint with a trainer that has a `max_steps` value set, the trainer does a single validation step before actually restarting the training epoc…
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Regardless of computaion, do KAN at present able perform continual learning on 2D input data (or its flattened 1d vector features)? if not what is the main challenge KAN have with it?