Oh, right.
Then, I don't think it will be implemented.
And I don't think RepeatOp is optimized to use the GPU anyway.
Sorry about that
On 2018-05-03 06:01 PM, Kristjan Arumae wrote:
No, it only works with two vectors. 2 Matrixes is not supported in
numpy either I don't think, since it is likely to mess up the output shape.
On Thursday, May 3, 2018 at 4:03:15 PM UTC-4, Pascal Lamblin wrote:
Does it work with two matrices?
If so, you can try to use dimshuffle to make v a "row" instead of a
"vector".
On 2018-05-03 03:24 PM, Kristjan Arumae wrote:
> An example of what I am doing:
>
> Here m is an fmatrix, and v is an ivector
>
> out = T.repeat(m, v, axis=0)
>
> The forward pass works fine, but there is no gradient code
implemented.
>
> This works fine when both inputs are vectors but not as above.
>
> I am not familiar with theano enough to fill in the missing code in
> grad() for class RepeatOp(). Does anyone have suggestions as to a
> workaround? I have not found anything even remotely helpful so far.
> I've tried using tile with scan, but to no end.
>
> Thanks.
>
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