2D tensors should be reversed?

[bjosv79]

Hi,
When implementing a linear layer, the following code does not produce the expected output:

import Torch: tensor
W = collect(reshape(1.f0:6.f0, (3,2)))
x = reshape([1.f0; 1.f0], (2, 1))
expected = W * x
output = tensor(W, dev = 0) * tensor(x, dev = 0)

I noted that 2d and nd tensors are treated differently and to me this looks like the root cause:
https://github.com/FluxML/Torch.jl/blob/master/src/tensor.jl#L143-L149

Is there a good reason to treat them differently?

[ToucheSir]

See #21 and

Torch.jl/src/ops.jl

Line 10 in f4da6dc

# TODO: using `rank` here causes compiler to emit error

. This should hopefully be easier to do now that the native library build instructions have been cleaned up.