torch.gt()的使用舉例

參考連結: gt(other) → Tensor

參考連結: torch.gt(input, other, out=None) → Tensor

代碼實驗展示:

Microsoft Windows [版本 10.0.18363.1256]
(c) 2019 Microsoft Corporation。保留所有權利。

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
>>> torch.gt(torch.tensor([[1, 2], [3, 4]]), torch.tensor([[1, 1], [4, 4]]))
tensor([[False,  True],
        [False, False]])
>>>
>>>
>>>
>>> torch.manual_seed(seed=20200910)
<torch._C.Generator object at 0x000001B69E54D330>
>>>
>>>
>>> input = torch.randn(3, 4)
>>> other = torch.randn(3, 4)
>>> input
tensor([[ 0.2824, -0.3715,  0.9088, -1.7601],
        [-0.1806,  2.0937,  1.0406, -1.7651],
        [ 1.1216,  0.8440,  0.1783,  0.6859]])
>>> other
tensor([[-1.5942, -0.2006, -0.4050, -0.5556],
        [ 0.9571,  0.7435, -0.2974, -2.2825],
        [-0.6627, -1.1902, -0.1748,  1.2125]])
>>>
>>> torch.gt(input, other)
tensor([[ True, False,  True, False],
        [False,  True,  True,  True],
        [ True,  True,  True, False]])
>>>
>>>
>>>
           

代碼實驗展示:

Microsoft Windows [版本 10.0.18363.1256]
(c) 2019 Microsoft Corporation。保留所有權利。

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
>>> torch.manual_seed(seed=20200910)
<torch._C.Generator object at 0x0000023D32A3D330>
>>>
>>> input = torch.randn(3, 4)
>>> other = torch.randn(3, 4)
>>>
>>> input
tensor([[ 0.2824, -0.3715,  0.9088, -1.7601],
        [-0.1806,  2.0937,  1.0406, -1.7651],
        [ 1.1216,  0.8440,  0.1783,  0.6859]])
>>> input.gt(0)
tensor([[ True, False,  True, False],
        [False,  True,  True, False],
        [ True,  True,  True,  True]])
>>>
>>>
>>> other
tensor([[-1.5942, -0.2006, -0.4050, -0.5556],
        [ 0.9571,  0.7435, -0.2974, -2.2825],
        [-0.6627, -1.1902, -0.1748,  1.2125]])
>>> other.gt(0)
tensor([[False, False, False, False],
        [ True,  True, False, False],
        [False, False, False,  True]])
>>>
>>>
>>>