torch.clamp函数怎么使用

本篇内容介绍了"torch.clamp函数怎么使用"的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！

功能:        将给定的张量的所有元素的取值限定在一个指定的范围之内

代码实验举例:

(base) PS C:\Users\chenxuqi> pythonPython 3.7.4 (default, Aug  9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32Type "help", "copyright", "credits" or "license" for more information.>>> import torch>>> torch.manual_seed(seed=20200910)>>>>>> a = torch.randn(4)>>> atensor([ 0.2824, -0.3715,  0.9088, -1.7601])>>> torch.clamp(a, min=-0.5, max=0.5)tensor([ 0.2824, -0.3715,  0.5000, -0.5000])>>> a.clamp(min=-0.5, max=0.5)tensor([ 0.2824, -0.3715,  0.5000, -0.5000])>>> atensor([ 0.2824, -0.3715,  0.9088, -1.7601])>>>>>>>>>>>> a.clamp_(min=-0.5, max=0.5)tensor([ 0.2824, -0.3715,  0.5000, -0.5000])>>> atensor([ 0.2824, -0.3715,  0.5000, -0.5000])>>>>>>>>>>>>>>> torch.manual_seed(seed=20200910)>>> a = torch.randn(4)>>> atensor([ 0.2824, -0.3715,  0.9088, -1.7601])>>> torch.clamp(a, min=0.5)tensor([0.5000, 0.5000, 0.9088, 0.5000])>>>>>> atensor([ 0.2824, -0.3715,  0.9088, -1.7601])>>> torch.clamp(a, max=0.5)tensor([ 0.2824, -0.3715,  0.5000, -1.7601])>>> atensor([ 0.2824, -0.3715,  0.9088, -1.7601])>>>>>>>>>

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