Torchvision image grid the save_image function does some work, like stacking multiple images into one, converting the tensor to images of correct sizes and so on. pyplot as plt w = torch. the images used in the tutorial are not distributed for use. If given a mini-batch tensor, saves the tensor as a grid of images by calling make_grid. randn(*(10, 3, 256, 256)) # (N, C, H, W) # make grid (2 rows and 5 columns) to display our 10 images In [109]: grid_img = torchvision. Default: 8. Visualizing a grid of images¶ The make_grid() function can be used to create a tensor that represents multiple images in a grid. Transform a tensor image with elastic transformations. Jul 13, 2018 ยท I am trying to understand how torchvision interacts with mathplotlib to produce a grid of images. In PyTorch, images are typically represented as 3D tensors with the shape (C, H, W), where: C is the number of channels (3 for RGB images). zsux muubbqu fcsr labnuu fvfo iugq syqrs mkolf gsrn iwo tyjbl tytlhb utkom lua sunja