importtorchx=torch.randn([3,4])print(x)# 将x中的每一个元素与0.5进行比较# 当元素大于等于0.5返回True,否则返回Falsemask=x.ge(0.5)print(mask)print(torch.masked_select(x,mask))'''tensor([[ 1.2001, 1.2968, -0.6657, -0.6907],[-2.0099, 0.6249, -0.5382, 1.4458],[ 0.0684, 0.4118, ...