Google Colab
colab.research.google.com › github › pytorchHere we define a batch size of 64, i.e. each element in the dataloader iterable will return a batch of 64 features and labels. [ ] ↳ 0 cells hidden. [ ] batch_size = 64. # Create data loaders. train_dataloader = DataLoader (training_data, batch_size=batch_size) test_dataloader = DataLoader (test_data, batch_size=batch_size) for X, y in test ...
Google Colab
colab.research.google.com › github › pytorchUnderstanding PyTorch's Tensor library and neural networks at a high level. Train a small neural network to classify images; Training on multiple GPUs. If you want to see even more MASSIVE speedup using all of your GPUs, please check out :doc:data_parallel_tutorial. Where do I go next?
Google Colab
https://colab.research.google.com/github/pytorch/tutorials/blob/gh...Here we define a batch size of 64, i.e. each element in the dataloader iterable will return a batch of 64 features and labels. [ ] ↳ 0 cells hidden. [ ] batch_size = 64. # Create data loaders. train_dataloader = DataLoader (training_data, batch_size=batch_size) test_dataloader = DataLoader (test_data, batch_size=batch_size) for X, y in test ...