I replied there.
On Wed, Jul 20, 2016 at 6:23 AM, Usama Yaseen <[email protected]> wrote:
> I want to flip order of elements in the second dimension of a tensor:
>
> x = T.tensor3('x')
> f = theano.function([x], ?)
> print(f(x_data))
>
> input:
>
> x_data = [[[1, 0, 0, 0], [0, 2, 0, 0], [0, 0, 3, 0], [0, 0, 0, 4]],
> [[5, 0, 0, 0], [0, 6, 0, 0], [0, 0, 7, 0], [0, 0, 0, 8]],
> [[9, 0, 0, 0], [0, 10, 0, 0], [0, 0, 11, 0], [0, 0, 0, 12]]
> ]
>
> desired output:
>
> x_data = [[[0, 0, 0, 4], [0, 0, 3, 0], [0, 2, 0, 0], [1, 0, 0, 0]],
> [[0, 0, 0, 8], [0, 0, 7, 0], [0, 6, 0, 0], [5, 0, 0, 0]],
> [[0, 0, 0, 12], [0, 0, 11, 0], [0, 10, 0, 0], [9, 0, 0, 0]]
> ]
>
> x_data[::-1] flips the overall second dimension (not desirable):
>
> x_data = [[[ 11. 0. 0. 0.]
> [ 0. 12. 0. 0.]
> [ 0. 0. 13. 0.]
> [ 0. 0. 0. 14.]]
>
>
> [[ 5. 0. 0. 0.]
> [ 0. 6. 0. 0.]
> [ 0. 0. 7. 0.]
> [ 0. 0. 0. 8.]]
>
>
> [[ 1. 0. 0. 0.]
> [ 0. 2. 0. 0.]
> [ 0. 0. 3. 0.]
> [ 0. 0. 0. 4.]]]
>
>
> What is the simplest way to achieve the desired output ?
>
>
> P.S: It's a cross-posting -
> http://stackoverflow.com/questions/38467955/flip-second-dimension-of-tensor
>
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