PyTorch torch.is_tensor() method returns True if the passed object is a PyTorch tensor.
Syntax:
torch.is_tensor(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.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) |
Output:
1 4 6 9 [torch.FloatTensor of size 4] 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_tensor(a) print(out) |
Output:
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
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Tensorflow – is_tensor() method
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