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QUESTION
I want to use a dataloader in my script.
normaly the default function call would be like this.
...ANSWER
Answered 2022-Feb-26 at 10:07Since ImageFolderWithPaths
inherits from datasets.ImageFolder
as shown in the code from GitHub and datasets.ImageFolder
has the following arguments including transform: (see here for more info)
torchvision.datasets.ImageFolder(root: str, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, loader: Callable[[str], Any] = , is_valid_file: Optional[Callable[[str], bool]] = None)
Solution: you can use your transformations directly when you instantiate ImageFolderWithPaths
.
QUESTION
I am currently working on an neuronal network that can classify cats and dog and everything thats not cat nor dog. And my programm has this: error i can't solve:
" File "/home/johann/Schreibtisch/NN_v0.01/classification.py", line 146, in train(epoch) File "/home/johann/Schreibtisch/NN_v0.01/classification.py", line 109, in train loss = criterion(out, target) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/modules/loss.py", line 1047, in forward return F.cross_entropy(input, target, weight=self.weight, File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/functional.py", line 2693, in cross_entropy return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction) File "/home/johann/.local/lib/python3.8/site-packages/torch/nn/functional.py", line 2388, in nll_loss ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index) RuntimeError: 1D target tensor expected, multi-target not supported"
The code:
...ANSWER
Answered 2022-Feb-16 at 15:35The reason behind this error is that your targets list are list of lists like that:
QUESTION
I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:
...ANSWER
Answered 2021-Dec-12 at 16:12Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda
gcc
as described in the documentation instead of the system gcc
.
QUESTION
Problem Description:
I am trying to load image data using Pytorch custom dataset. I did a little dive deep and found that my images set consist of 2 types of shape (512,512,3) and (1024,1024) . My assumption is, because of the above reason, it is throwing the below error.
Note: The code is able to read some of the images but, it is throwing the below error message for few of them. This was the reason to do a little EDA on the image data and found that there were 2 different shapes of images in the dataset.
Q1. How to preprocess such image data for training?
Q2. Is there any other reasons why I might be seeing the below error message?
Error message:
...ANSWER
Answered 2021-Oct-02 at 05:31found the issue with the code.
Pytorch Custom Dataloader function "getitem" uses idx to retrieve data and my guess is, it know the range of idx from len function, ex: 0, till len(rows in dataset).
In my case, I already had a panda dataset (train_data) with idx as one of the column. When I randomly split it into X_train and X_test, few of the data rows were moved to X_test along with the idx.
Now, when I send X_train to the custom dataloader, it is trying to get row's image_id with an idx and that idx just happens to be in X_test dataset. This lead to error as keyerror: 16481 i.e row with idx=16481 is not present in the X_train dataset. It was moved to X_test during split.
phew...
QUESTION
I have installed pytorch
version 1.10.0 alongside torchtext
, torchvision
and torchaudio
using conda. My PyTorch is cpu-only, and I have experimented with both conda install pytorch-mutex -c pytorch
and conda install pytorch cpuonly -c pytorch
to install the cpuonly version, both yielding the same eror that I will describe in the following lines.
I have also installed pytorch-lightning
in conda, alongside jsonargparse[summaries
via pip in the environment.
I have written this code to see whether LightningCLI
works or not.
ANSWER
Answered 2021-Nov-24 at 22:00So in order to fix the problem, I had to change my environment.yaml
in order to force pytorch
to install from the pytorch
channel.
So this is my environment.yaml
now:
QUESTION
I'm trying to train my own object detection model with Pytorch. But im getting always this error. I tried to change the torch version but this doesn't helped.
My packages: torchvision-0.11.1 and torch-1.10.0
ANSWER
Answered 2021-Nov-10 at 13:38LinearLR
scheduler was only recently introduced (v1.10.0). Please make sure your pytorch version is up to date and try again.
QUESTION
I am training a GANS on the Cifar-10 dataset in PyTorch (and hence don't need train/val/test splits), and I want to be able to combine the torchvision.datasets.CIFAR10
in the snippet below to form one single torch.utils.data.DataLoader
iterator. My current solution is something like :
ANSWER
Answered 2021-Nov-01 at 06:18You can use ConcatDataset
from torch.utils.data
module.
Code Snippet:
QUESTION
Recently I downloaded CelebA dataset from this page. I want to apply some transformations to this data set:
To do it firstly let's define transformations:
...ANSWER
Answered 2021-Oct-28 at 14:28It seems like for some copyright/privacy/legal consideration CelebA dataset is slowly going "off-grid".
If you really have to use it, try downloading it from the baidu drive.
Other users report that there might be download quota issues, and retrying might resolve the issue.
What exactly is the error you get when you try download=True
?
QUESTION
I've been trying to install PyTorch 1.9 with Cuda (ideally 11) on my HPC but I cannot.
The cluster says:
...ANSWER
Answered 2021-Sep-23 at 06:45First of all, as @Francois suggested, try to uninstall the CPU only version of pytorch. Also in your installation script, you should use either conda
or pip3
.
Then you may want to try the following attempts:
- using
conda
: addconda-forge
channel to your command (conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia -c conda-forge
). And make sureconda
is updated. - using
pip
: insert--no-cache-dir
into your command (pip3 --no-cache-dir install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
) to avoid theMemoryError
.
QUESTION
I have the following code:
...ANSWER
Answered 2021-Sep-22 at 12:02The paths (and labels) are stored in dataset.imgs
. For instance, for imagenet:
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