Python – PyTorch is_storage() 方法
如果 obj 是 PyTorch 存储对象,则 PyTorch torch.is_storage()
方法返回 True。
Syntax: torch.is_storage(object)
Arguments
- object: This is input tensor to be tested.
Return: It returns either True or False.
让我们通过几个例子来看看这个概念:
示例 1:
示例 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
示例 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
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