make_grid — Torchvision 0.22 documentation (original) (raw)

torchvision.utils.make_grid(tensor: Union[Tensor, List[Tensor]], nrow: int = 8, padding: int = 2, normalize: bool = False, value_range: Optional[Tuple[int, int]] = None, scale_each: bool = False, pad_value: float = 0.0) → Tensor[source]¶

Make a grid of images.

Parameters:

• tensor (Tensor or list) – 4D mini-batch Tensor of shape (B x C x H x W) or a list of images all of the same size.
• nrow (int, optional) – Number of images displayed in each row of the grid. The final grid size is (B / nrow, nrow). Default: 8.
• padding (int, optional) – amount of padding. Default: 2.
• normalize (bool, optional) – If True, shift the image to the range (0, 1), by the min and max values specified by value_range. Default: False.
• value_range (tuple, optional) – tuple (min, max) where min and max are numbers, then these numbers are used to normalize the image. By default, min and max are computed from the tensor.
• scale_each (bool, optional) – If True, scale each image in the batch of images separately rather than the (min, max) over all images. Default: False.
• pad_value (float, optional) – Value for the padded pixels. Default: 0.

Returns:

the tensor containing grid of images.

Return type:

grid (Tensor)

Examples using make_grid: