python-pytorchHow do I use the unsqueeze function in Python PyTorch?
The unsqueeze
function in Python PyTorch is used to add a single-dimensional entry to a tensor. It is a function of the torch
module and can be used to increase the dimension of a given tensor.
For example, x = torch.tensor([1, 2, 3])
is a tensor with 3 entries. To add a single-dimensional entry to this tensor, you can use the unsqueeze
function as follows:
x = torch.tensor([1,2,3])
x_unsqueezed = x.unsqueeze(0)
print(x_unsqueezed)
The output of the above code is tensor([[1, 2, 3]])
.
Code explanation
x = torch.tensor([1,2,3])
: This creates a tensor with 3 entries.x_unsqueezed = x.unsqueeze(0)
: This adds a single-dimensional entry to the tensorx
.print(x_unsqueezed)
: This prints the tensor with the single-dimensional entry added.
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