You will need to modify the method grad (see
http://deeplearning.net/software/theano/extending/extending_theano.html#extending-theano
)

of the class DiffOp in the file theano/tensor/extra_ops.py

It is currently working when ndim==1 for the input. Mostly, you need to
modify it to implement it when ndim==2.

Try not to use scan, it would slow things down.

Fred

On Mon, Jul 25, 2016 at 4:31 PM, Aditya Gudimella <
[email protected]> wrote:

> I would love to implement my case, but I don’t exactly know which
> functions to add. I can think of a way in which diff can be converted to a
> scan op but I don’t know if that’ll help with grad or just slow down things.
>
> On Jul 21, 2016, at 2:09 PM, Frédéric Bastien <[email protected]>
> wrote:
>
> We haven't implemetned the grad for the diff op if the input isn't a
> vector.
>
> Do you want to implement your cases?
>
> Fred
>
> On Thu, Jul 21, 2016 at 11:54 AM, Aditya Gudimella <
> [email protected]> wrote:
>
>> a = shared(np.arange(3*8).reshape(8,3).astype('float32'))
>> b = diff(a, axis=0)
>> T.grad(b.norm(2), a)
>>
>>
>> This gives me an error. It's unable to find the gradient of the diff
>> operator if it has been used on a 2 dimensional tensor. Is this how it was
>> meant to be or is this a bug?
>>
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