Hello theano community,
I've been having this missing input error recently on small piece of theano
example.
The full stack error is the following:
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
[ Y,
Elemwise{mul}.0,
Elemwise{true_div}.0,
Elemwise{true_div}.0,
Elemwise{add,no_inplace}.0,
Elemwise{mul}.0,
Elemwise{add,no_inplace}.0,
Elemwise{Switch}.0,
Elemwise{add,no_inplace}.0,
Elemwise{add,no_inplace}.0,
dot.0,
Reshape{4}.0,
Elemwise{Switch}.0,
Elemwise{add,no_inplace}.0,
Elemwise{add,no_inplace}.0,
AbstractConv2d_gradInputs{border_mode='valid', subsample=(1, 1),
filter_flip=True, imshp=(None, None, None, None),
kshp=(None, None, None, None)}.0,
Elemwise{Switch}.0,
Elemwise{add,no_inplace}.0,
Elemwise{add,no_inplace}.0,
AbstractConv2d_gradInputs{border_mode='valid', subsample=(1, 1),
filter_flip=True, imshp=(None, None, None, None),
kshp=(None, None, None, None)}.0,
Elemwise{Switch}.0,
Elemwise{add,no_inplace}.0,
Elemwise{add,no_inplace}.0,
AbstractConv2d_gradInputs{border_mode='valid', subsample=(1, 1),
filter_flip=True, imshp=(None, None, None, None),
kshp=(None, None, None, None)}.0, Split{2}.0,
IncSubtensor{Inc;::, ::, :int64:, :int64:}.0,
Elemwise{add,no_inplace}.0,
Elemwise{Switch}.0,
Elemwise{add,no_inplace}.0,
Elemwise{add,no_inplace}.0,
AbstractConv2d_gradInputs{border_mode='valid', subsample=(1, 1),
filter_flip=True, imshp=(None, None, None, None),
kshp=(None, None, None, None)}.0,
Elemwise{Switch}.0, Elemwise{add,no_inplace}.0,
Elemwise{add,no_inplace}.0,
AbstractConv2d_gradWeights{border_mode='valid', subsample=(1, 1),
filter_flip=True, imshp=(None, None, None, None),
kshp=(None, None, None, None)}.0,
Elemwise{mul,no_inplace}.0,
Elemwise{add,no_inplace}.0,
Elemwise{true_div,no_inplace}.0,
Elemwise{mul,no_inplace}.0,
Elemwise{sub,no_inplace}.0 ].
This chain may not be unique
Backtrace when the variable is created:
File "<decorator-gen-57>", line 2, in run
File
"/home/user/anaconda2/lib/python2.7/site-packages/IPython/core/magic.py",
line 188, in <lambda>
call = lambda f, *a, **k: f(*a, **k)
File
"/home/user/anaconda2/lib/python2.7/site-packages/IPython/core/magics/execution.py"
, line 742, in run
run()
File
"/home/user/anaconda2/lib/python2.7/site-packages/IPython/core/magics/execution.py"
, line 728, in run
exit_ignore=exit_ignore)
File
"/home/user/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.py"
, line 2481, in safe_execfile
self.compile if kw['shell_futures'] else None)
File
"/home/user/anaconda2/lib/python2.7/site-packages/IPython/utils/py3compat.py"
, line 289, in execfile
builtin_mod.execfile(filename, *where)
File "/home/user/projects/python/theano/unet.py", line 291, in <module>
training()
File "/home/user/projects/python/theano/unet.py", line 259, in training
Y = tt.fmatrix(name='Y').astype(dtype='float32')
The minimal example I was trying to run is the following:
def training():
W = []
for weight in range(len(weights)):
W.append(init_weights(weights[weight]))
X = tt.ftensor4(name='X').astype(dtype='float32')
Y = tt.fmatrix(name='Y').astype(dtype='float32')
p_y_x = model(X, W)
p_y_x_max = tt.argmax(p_y_x, axis=1)
cost = tt.mean(tt.nnet.categorical_crossentropy(p_y_x, Y))
updates = optimize(cost, W)
train = theano.function(inputs=[X, Y], outputs=cost,
updates=updates,
allow_input_downcast=True,
mode='FAST_RUN')
predict = theano.function(inputs=[X], outputs=p_y_x_max,
updates=updates,
allow_input_downcast=True,
mode='FAST_RUN')
training()
Given the error output what is strange to me is the fact that at this point
if i just run the code I should be getting the computation graph instead
I'm getting complaints about the Y variable?
I don't understand why since I'm not calling "train" or "predict" in order
to specify arguments.
At this point I would just expect theano to build the computation graph? Am
I missing somehting?
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