Re: [theano-users] Using theano.tensor.repeat with repeats.ndim == 1

2018-05-04 Thread Frédéric Bastien 
You can try to implement it with tensor.alloc() and set_subtensor with
broadcasting.

this will work with gradient and on the GPU.

On Thu, May 3, 2018 at 7:02 PM Pascal Lamblin 
wrote:

> 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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> >
> > --
> > Pascal Lamblin
> >
> > --
> >
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> --
> Pascal Lamblin
>
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Re: [theano-users] Using theano.tensor.repeat with repeats.ndim == 1

2018-05-03 Thread Pascal Lamblin 

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.
 >
 > --
 >
 > ---
 > You received this message because you are subscribed to the Google
 > Groups "theano-users" group.
 > To unsubscribe from this group and stop receiving emails from it,
send
 > an email to theano-users...@googlegroups.com 
 > .
 > For more options, visit https://groups.google.com/d/optout
.

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Pascal Lamblin


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Re: [theano-users] Using theano.tensor.repeat with repeats.ndim == 1

2018-05-03 Thread Kristjan Arumae 
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. 
> > 
> > -- 
> > 
> > --- 
> > You received this message because you are subscribed to the Google 
> > Groups "theano-users" group. 
> > To unsubscribe from this group and stop receiving emails from it, send 
> > an email to theano-users...@googlegroups.com  
> > . 
> > For more options, visit https://groups.google.com/d/optout. 
>
> -- 
> Pascal Lamblin 
>

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Re: [theano-users] Using theano.tensor.repeat with repeats.ndim == 1

2018-05-03 Thread Pascal Lamblin 

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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[theano-users] Using theano.tensor.repeat with repeats.ndim == 1

2018-05-03 Thread Kristjan Arumae 
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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