Pytorch downsample

1. What is interpolation in PyTorch?
2. How do you transpose a torch tensor?

What is interpolation in PyTorch?

The algorithm used for interpolation is determined by mode . Currently temporal, spatial and volumetric sampling are supported, i.e. expected inputs are 3-D, 4-D or 5-D in shape. The input dimensions are interpreted in the form: mini-batch x channels x [optional depth] x [optional height] x width .

How do you transpose a torch tensor?

Explain how to transpose a torch tensor? We can transpose a torch tensor by using torch. transpose(input, dim0, dim1) function which will consist of the input tensor and dimensions. The function will return the transposed version of the input given and the dimensions given i.e dim0 and dim1 are swapped.