Python–PyTorch is_storage()方法
原文:https://www.geesforgeks.org/python-py torch-is_storage-method-2/
如果对象是 PyTorch 存储对象，PyTorch torch.is_storage()方法返回 True。
语法:
torch.is_storage(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.FloatStorage(6)
print(a)
# Applying the is_tensor function and
# storing the result in 'out'
out = torch.is_storage(a)
print(out)
输出:
-30587.265625
4.555761437366413e-41
3.906847023468105e-37
0.0
4.484155085839415e-44
0.0
[torch.FloatStorage of size 6]
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_storage(a)
print(out)
输出:
0.4837 -0.3108 0.5945 -0.5967 1.0831 0.0967
-0.0174 0.4937 0.9900 -0.0532 -0.4830 -0.4711
1.3607 -1.0815 0.4421 -0.2668 -0.5778 -0.0482
-2.0869 -0.8338 1.2260 -0.8849 0.7303 -1.0050
[torch.FloatTensor of size 4x6]
False
