maybe repeat appears better, I cannot give a strong argument to support one against another, we can take an example to see which one might be better, suppose we have,
a = torch.randn(3, 3); a

tensor([[-1.6339,  0.5842,  0.3604],
        [ 0.2360,  0.5282,  1.8202],
        [-0.2033, -0.4426, -0.0329]])

suppose we wanted a repeated tensor of shape (2, 3, 3)
so one way would be, we do,
torch.repeat_interleave(a, 2)

and get,
tensor([[[-1.6339, -1.6339,  0.5842],
         [ 0.5842,  0.3604,  0.3604],
         [ 0.2360,  0.2360,  0.5282]],

        [[ 0.5282,  1.8202,  1.8202],
         [-0.2033, -0.2033, -0.4426],
         [-0.4426, -0.0329, -0.0329]]])

another way would be,
torch.repeat_interleave(a, torch.tensor([2]), dim=0).reshape(2, 3, 3)

we get,
tensor([[[-1.6339,  0.5842,  0.3604],
         [-1.6339,  0.5842,  0.3604],
         [ 0.2360,  0.5282,  1.8202]],

        [[ 0.2360,  0.5282,  1.8202],
         [-0.2033, -0.4426, -0.0329],
         [-0.2033, -0.4426, -0.0329]]])

or we use repeat,
a.repeat(2, 1).reshape(2, 3, 3)

tensor([[[-1.6339,  0.5842,  0.3604],
         [ 0.2360,  0.5282,  1.8202],
         [-0.2033, -0.4426, -0.0329]],

        [[-1.6339,  0.5842,  0.3604],
         [ 0.2360,  0.5282,  1.8202],
         [-0.2033, -0.4426, -0.0329]]])

if we were applying something like, MaxPool after this, then in the first two cases, it would consider something like this, (if we had 2x2 window)
[-1.6339,  0.5842]
[-1.6339,  0.5842]

which appears a bit weird comparing same terms.
or if we were applying Dropout, maybe dropping 2x2 blocks at random, then,
entire block of,
[-1.6339,  0.5842]
[-1.6339,  0.5842]

might become zero, and we would not have those values anywhere else, this again appears a bit weird
or if we were applying something like nn.LayerNorm after this,
so, if we have a block which has a lot of same values, like,
a = torch.tensor([[1., 1., 1.], [2., 2., 2.]])
b = nn.LayerNorm(3)

then, b(a) would give
tensor([[0., 0., 0.],
        [0., 0., 0.]], grad_fn=<NativeLayerNormBackward>)

maybe we do not want to zero out most of the blocks.
it depends on what we apply after this repeat.