What is Collate_fn?

so as ptrblck said the collate_fn is your callable/function that processes the batch you want to return from your dataloader. e.g. def collate_fn(batch): print(type(batch)) print(len(batch)) in my case of batch_size=4 will return a list of size four.Click to see full answer. Regarding this, what is PyTorch DataLoader?Combines a dataset and a sampler, and provides an iterable over the given dataset. The :class:`~torch.utils.data.DataLoader` supports both map-style and iterable-style datasets with single- or multi-process loading, customizing loading order and optional automatic batching (collation) and memory pinning.Also, who is behind PyTorch? A new paper from original PyTorch developers Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan and 17 other researchers explores the inspiration behind the library, and makes the case for its unique marriage of speed and usability. Beside above, what is Num_workers PyTorch? num_workers , which denotes the number of processes that generate batches in parallel. A high enough number of workers assures that CPU computations are efficiently managed, i.e. that the bottleneck is indeed the neural network’s forward and backward operations on the GPU (and not data generation).What does DataLoader return?DataLoader(dataset=train_set, train_loader is a python iterator that will return elements from your dataset batch by batch. This allows you to use it as for data in train_loader: .