The error is raised by the line that says:
fz=theano.function([], z, updates=updates)
because inputs are missing there.
Moreover, even if you provided inputs, the "out" returned would just be
a numpy array, that would be treated like a constant by the rest of the
graph.
The thing you want to do is keeping the updates symbolic until you pass
then to "train", not try to apply them through another theano functin.
On Tue, May 09, 2017, Giuseppe Angora wrote:
> Hi,
>
> this is a semplification of the original code that i'm trying to fix. I
> have invented a problem that reflects what the original code does and which
> gives me the same error but is written in a minimal form:
>
> import theanoimport theano.tensor as Timport numpy as npimport copy
> theano.config.exception_verbosity = 'high'
>
> class Test(object):
> def __init__(self):
> self.rate=0.01
> def start(self, x, y):
> W_val=40.89
> W=theano.shared(value=W_val, borrow=True)
> z=T.mean(x*W/y)
> gz=T.grad(z, W)
> updates=[(W, W-self.rate*gz)]
>
> fz=theano.function([], z, updates=updates)
> for i in range(100):
> out=fz()
> self.out=out
> return out
>
> x_set=np.random.rand(10)
> y_set=np.random.randint(low=0, high=5, size=10, dtype=int)
> batch_size=2
>
> x = T.dvector('x')
> y = T.ivector('y')
> index = T.lscalar()
>
> test = Test()
> cost=test.start(x,y)
>
> train = theano.function(
> inputs=[index],
> outputs=cost,
> givens={
> x: x_set[index * batch_size: (index + 1) * batch_size],
> y: y_set[index * batch_size: (index + 1) * batch_size]
> })
> for i in range(5):
> result=train(i)
> print(result)
>
>
> This is the TraceBack:
>
> Traceback (most recent call last):
> File "functions.py", line 33, in <module>
> cost=test.start(x,y)
> File "functions.py", line 18, in start
> fz=theano.function([], z, updates=updates)
> File "C:\Program
> Files\Anaconda3\lib\site-packages\theano\compile\function.py", line 320, in
> function
> output_keys=output_keys)
> File "C:\Program
> Files\Anaconda3\lib\site-packages\theano\compile\pfunc.py", line 479, in pfunc
> output_keys=output_keys)
> File "C:\Program
> Files\Anaconda3\lib\site-packages\theano\compile\function_module.py", line
> 1776, in orig_function
> output_keys=output_keys).create(
> File "C:\Program
> Files\Anaconda3\lib\site-packages\theano\compile\function_module.py", line
> 1428, in __init__
> accept_inplace)
> File "C:\Program
> Files\Anaconda3\lib\site-packages\theano\compile\function_module.py", line
> 177, in std_fgraph
> update_mapping=update_mapping)
> File "C:\Program Files\Anaconda3\lib\site-packages\theano\gof\fg.py", line
> 171, in __init__
> self.__import_r__(output, reason="init")
> File "C:\Program Files\Anaconda3\lib\site-packages\theano\gof\fg.py", line
> 360, in __import_r__
> self.__import__(variable.owner, reason=reason)
> File "C:\Program Files\Anaconda3\lib\site-packages\theano\gof\fg.py", line
> 465, in __import__
> detailed_err_msg)
> theano.gof.fg.MissingInputError: A variable that is an input to the graph was
> neither provided as an input to the function nor given a value. A chain of
> variables leading from this input to an output is [x,
> Elemwise{mul,no_inplace}.0, Elemwise{true_div,no_inplace}.0,
> Sum{acc_dtype=float64}.0, mean]. This chain may not be uniqueBacktrace when
> the variable is created:
> File "functions.py", line 28, in <module>
> x = T.dvector('x')
>
> I do not know where to slam my head again...
>
> Thanks
>
> --
>
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--
Pascal
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