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PyTorch布林型別的張量的+操作

技術標籤:零基礎學習SSD網路PyTorch實現Deep-Learning-with-PyTorch《深度學習之PyTorch實戰計算機視覺》

總結:

兩個元素為布林型別的張量進行+操作,其效果類似於逐元素求邏輯或運算.
C:\Users\chenxuqi>
C:\Users\chenxuqi>conda activate ssd4pytorch1_2_0

(ssd4pytorch1_2_0) C:\Users\chenxuqi>python
Python 3.7.7 (default, May  6 2020, 11:45:54) [MSC v.1916 64 bit (
AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> >>> pos_idx = torch.tensor([[True,True],[False,False]]) >>> pos_idx tensor([[ True, True], [
False, False]]) >>> >>> neg_idx = torch.tensor([[True,False],[True,False]]) >>> neg_idx tensor([[ True, False], [ True, False]]) >>> >>> pos_idx + neg_idx tensor([[ True, True], [ True, False]]) >>> >>> >>>