Python–PyTorch is_tensor()方法
原文:https://www.geesforgeks.org/python-py torch-is_tensor-method/
如果传递的对象是 PyTorch 张量，则 PyTorch torch.is_tensor()方法返回 True。
语法:
torch.is_tensor(object)论据
- 对象:这是待测的输入张量。
返回:返回真或假。
Let’s see this concept with the help of few examples:Example 1:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.FloatTensor([1, 4, 6, 9])
print(a)
# Applying the is_tensor function and
# storing the result in 'out'
out = torch.is_tensor(a)
print(out)
输出:
1
4
6
9
[torch.FloatTensor of size 4]
True
例 2:
# Importing the PyTorch library
import torch
# A constant tensor of size n
a = torch.randn(4, 6)
print(a)
# Applying the is_tensor function and
# storing the result in 'out'
out = torch.is_tensor(a)
print(out)
输出:
0.7491 -1.5987 -0.9733 0.0436 -0.3093 2.0007
0.5679 -0.0092 -0.2573 0.9173 2.9849 -2.0159
-1.9215 -0.9131 -0.8244 0.4160 -0.3855 0.7033
1.7367 -1.1454 -1.4369 -0.9856 -0.9076 0.6267
[torch.FloatTensor of size 4x6]
True
