All Questions
12 questions
0
votes
1
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742
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Torchmetrics Binary Accuracy and Multiclass Accuracy don't match
in my program I have the problem that for a 2-class classification problem my multiclass accuracy and binary class accuracy don't match.
I have generated a very small sample example where you can see ...
- 3
0
votes
1
answer
134
views
How to implement a customized DataLoader that inherits pytorch's one?
I need to implement a customized DataLoader, that inherits from torch.data.utils.DataLoader.
I have searched it for half hour, but there is no example or doc about this.
What methods of it should I ...
- 101
2
votes
1
answer
2k
views
Input type (MPSFloatType) and weight type (torch.FloatTensor) should be the same
I am trying to run this notebook on Apple M1 (1st gen) running MacOS 12.4,
libs freeze:
...
- 121
0
votes
0
answers
14
views
What is the reason of this behavior of training loss in CONV auto-encoders?
I don't get Training Loss is steady up to the 7th epochs
0
votes
0
answers
73
views
How can I reshape (16,) and (3,112,112) shape to the single (16,3,112,112)? See code below
This is my code;
for img_loc in list(self.train_data)[idx]:
images_set.append(self.load_ucf_image(img_loc))
print(images_set)
And, this is its output
...
0
votes
1
answer
203
views
Torch tensor view and stride mechanics
I want my Mx2xN float tensor to become MxN complex tensor.
In this minimal example I supply the the 10x2 matrix which should become the vector [0+10j,1+11j,2+12k,...]
...
- 1
0
votes
1
answer
206
views
Why does my GPU immediately run out of memory when I try to run this code?
I am trying to write a neural network that will train on plays by Shakespeare and then write its own passages. I am using pytorch. For some reason, my GPU ...
3
votes
1
answer
141
views
How to specify version for dependencies so that each one is compatible and stays within a size limit?
I am trying to deploy a web app to Heroku. The free tier is limited to 500 MB.
I am using my resnet34 model as a .pkl file.
I create model with it using the fastai ...
- 280
1
vote
0
answers
338
views
Why does the learning rate influence whether i get a error from BCE or not? [closed]
When I use a learning rate higher than 0.001, I get this:
Assertion `input_val >= zero && input_val <= one` failed.
This means that the input I gave ...
- 11
2
votes
1
answer
2k
views
how to implement squared hinge loss in pytorch
does anyone have any advice on how to implement this loss in order to use it with a convolutional neural network?
Also, how should I encode the labels of my training data? We were using one hot ...
- 31
1
vote
0
answers
96
views
Write way to add samples to torch TabularDataset
I have a TabularDataset and i would like to add some examples to the dataset.
...
- 423
5
votes
1
answer
7k
views
Does torch.cat work with backpropagation?
I was wondering if it was okay to use torch.cat within my forward function. I am doing so because I want the first two columns of my input to skip the middle hidden layers and go directly to the final ...
- 53