Count Nonzero In PyTorch: A Comprehensive Guide
count_nonzero() returns the count of non-zero elements in a tensor. It can be used with torch or as a method on a tensor, and supports various dimensions for counting.
Buy Me a Coffee☕ *Memos: My post explains where(). My post explains argwhere() and nonzero(). count_nonzero() can get the 0D or more D tensor of the count number of zero or more non-zero elements from the 0D or more D tensor of zero or more elements as shown below: *Memos: count_nonzero() can be used with torch or a tensor. The 1st argument(input) with torch or using a tensor(Required-Type:tensor of int, float, complex or bool). The 2nd argument with torch or the 1st argument with a tensor is dim(Optional-Type:int, tuple of int or list of int). import torch my_tensor = torch.tensor(5) to...