I have the same problem could some please advise ?
On Thursday, August 11, 2016 at 2:48:31 AM UTC+1, Jason T wrote:
>
> Hi,
>
> I'm learning Theano and was working through the first example in the scan
> documentation:
>
> import theanoimport theano.tensor as T
> k = T.iscalar("k")A = T.vector("A")
> # Symbolic description of the resultresult, updates = theano.scan(fn=lambda
> prior_result, A: prior_result * A,
> outputs_info=T.ones_like(A),
> non_sequences=A,
> n_steps=k)
> # We only care about A**k, but scan has provided us with A**1 through A**k.#
> Discard the values that we don't care about. Scan is smart enough to# notice
> this and not waste memory saving them.final_result = result[-1]
> # compiled function that returns A**kpower = theano.function(inputs=[A,k],
> outputs=final_result, updates=updates)
> print(power(range(10),2))print(power(range(10),4))
>
>
> and I'm getting the error:
>
> ValueError: ('The following error happened while compiling the node',
> forall_inplace,gpu,scan_fn}(Elemwise{maximum,no_inplace}.0,
> GpuIncSubtensor{InplaceSet;:int64:}.0, GpuFromHost.0), '\n', 'numpy.dtype has
> the wrong size, try recompiling')
>
>
> I'm running the latest version of Theano from github and it works for an
> example I wrote for a convnet on MNIST, but so far I haven't gotten any
> examples with scan to work yet. A similar error appears if I try to run
> anything with scan on the CPU as well. Any ideas what could be causing the
> error?
>
> Thanks,
>
> Jason
>
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