If you run a convolution with a (1, 1, 1, 1) filter, then you will only
have one output channel. That could explain why you have a shape of (1,
128, 1, 2) instead of (1, 128, 128, 2).
These shapes are not compatible, and Join will not explicitly duplicate
cost along the broadcastable axis (neither will numpy.join).
If duplication of the cost along axis=2 is what you want, then you could use
T.concatenate(
[img_param[:, :, :, :3], T.alloc(cost, cost.shape[0], cost.shape[1],
img_param.shape[2], 2)],
axis=3)
On Sun, Oct 30, 2016, Ido wrote:
> I'm trying to concatenate two tensors along their 3rd dimension.
>
> param = T.concatenate(
> [img_param[:, :, :, :3], cost.repeat(2, axis=3)],
> axis=3
> )
>
>
> img_param has the shape (1, 128, 128, 5), cost is of shape (1, 128, 128, 1).
>
> If I take cost directly from the input, this works perfectly fine.
> Yet, if I first run T.nnet.conv2d with a constant filter (1, 1, 1, 1) I get:
>
> ValueError: all the input array dimensions except for the concatenation
> axis must match exactly
> Apply node that caused the error: Join(TensorConstant{3}, Subtensor{::, ::,
> ::, :int64:}.0, Reshape{4}.0)
> Toposort index: 12
> Inputs types: [TensorType(int8, scalar), TensorType(float32, 4D),
> TensorType(float32, 4D)]
> Inputs shapes: [(), (1, 128, 128, 3), (1, 128, 1, 2)]
>
> The conv2d call:
>
> cost = T.nnet.conv2d(
> input=input,
> filters=self.unary_w,
> input_shape=self.input_shp,
> filter_shape=self.unary_filter_shp,
> border_mode='valid'
> ). dimshuffle(0,2,3,1)
>
>
> (I also made sure all dimensions are shuffled to the correct shape)
>
> I tried returning both tensors to validate their shape and both return just
> fine.
> I've looked a bit into this and it seems to have something to do with a
> sort of sparse-matrix conversion. Meaning Theano just automatically drops
> dimensions which are close to 0.
>
> Any ideas?
>
> 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+unsubscr...@googlegroups.com.
> For more options, visit https://groups.google.com/d/optout.
--
Pascal
--
---
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+unsubscr...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
