PyTorch Flatten: Function Explained

In PyTorch, the flatten function is used to convert multi-dimensional arrays or tensors into one-dimensional arrays or tensors.

Specifically, the flatten function can convert a multidimensional array or tensor into a one-dimensional array or tensor, while preserving the order of elements in the original array or tensor. In other words, the flatten function will arrange all elements from a multidimensional array or tensor into a one-dimensional array.

This function is very common in neural networks, especially when converting the output of convolutional layers to the input of fully connected layers. The flattened one-dimensional array or tensor can be used as the input of fully connected layers for further linear calculations or other operations.