PyTorch torch.is_storage() method returns True if obj is a PyTorch storage object.
Syntax:
torch.is_storage(object)Arguments
- object: This is input tensor to be tested.
Return: It returns either True or False.
Let’s see this concept with the help of few examples:
Example 1:
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) |
Output:
-30587.265625 4.555761437366413e-41 3.906847023468105e-37 0.0 4.484155085839415e-44 0.0 [torch.FloatStorage of size 6] True
Example 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) |
Output:
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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