Tag: deep-learning

Use PyTorch’s DataLoader with Variable Length Sequences for LSTM/GRU

When I first started using PyTorch to implement recurrent neural networks (RNN), I faced a small issue when I was trying to use DataLoader in conjunction with variable-length sequences. What I specifically wanted to do was to automate the process of distributing training data among multiple graphics cards. Even though there are numerous examples online …

Continue reading