Hi,
I’m wondering if trilinear and bilinear interpolation would be the same if I retained one of the dimensions. For example:
x = torch.rand([5, 6, 3, 30, 50]) # B C T H W
F.upsample(x, size=(3, 60, 100), mode='trilinear') # 5 6 3 60 100

Is the second tensor equivalent to bilinear upsampling of each tensor along the temporal axis?