pytorch-tutorial
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yunjey
PyTorch Tutorial for Deep Learning Researchers
Got this error while running main.py: Segmentation fault (core dumped) Uisng Python 3.5
Hello I try implement this into video classification. Let say I have 3 feature per frame then I have 10 frames to consider. I am using this example, I think...
This makes the runs comparable in TensorBoard, and makes for better visualization.
# Training loop for epoch in range(epochs): model.train() for data in train_loader: optimizer.zero_grad() output = model(data) loss = criterion(output, labels) loss.backward() optimizer.step() print(f"loss: {loss}" plz suggest some fix to it...
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_locatio n=torch.device('cpu') to map your...
The line `images, labels = data_iter.next()` has been deprecated. I have updated it to `images, labels = next(data_iter)`. Additionally, I've split the main.py file into a new file named main.ipynb.
您好，仓库内容很全面，非常受益， 可否引荐下本人的笔记，把我对自动驾驶的理解分享给大家，希望大家和我一起不断完善相关内容，谢谢您！ Hello, the content of the repository is very comprehensive and very beneficial. Could you introduce my notes and share my understanding of autopilot with others? I hope you...
Applies consistent code formatting for readability and style Replaces `torch.no_grad` with `torch.inference_mode` for better efficiency Adds missing test data loader in feedforward neural network Fixes minor typos and removes unnecessary...
