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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