How do we calculate Eucledian distance between two tensors of same size. The tensors have size of [1,1, 512,1]?
Reshape it to 1 d and then find the euclidean distance.
a = torch.randn(1, 1, 512, 1) b = troch.randn(1, 1, 512, 1) euclidena_dist = sum(((a - b)**2).reshape(512))
This worked for me. One more question:
What if the size of the tensors are [3,1,512,1] and [1,1,512,1]?
In this case, your (1,1,512,1) shaped Tensor will copy itself to match the target dimension is (3,1,512,1), a technique known as Broadcasting.
You just need to write the code for Eucledian distance, Pytorch will perform Broadcasting inherently.
Here’s the code
A= torch.randn(1,1,512,1).reshape(-1,512) B = torch.randn(3,1,512,1).reshape(-1,512) Distance = ((A-B)**2).sum(axis=0)