import torch
input_tensor = torch.tensor([1,2,3,4,5])
print(input_tensor>3)
mask = (input_tensor>3).nonzero()
print(mask)
print(input_tensor.index_select(0,mask))

tensor([0, 0, 0, 1, 1], dtype=torch.uint8)
tensor([3, 4])
tensor([4, 5])

import torch

x = torch.linspace(1, 8, steps=8).view(4, 2)
print(x)

area1=(x[:,0]>5.5)&(x[:,1]>5.5)

c=x[:,0]*x[:,1]
area2=c>25

area=area1|area2
print(x[area])

if 0:
# index=torch.max(area,1)[0]
b=x[area]
# b= x[torch.where((x[:,0]>0) & (x[:,0]<6))]
# print(b)