The error does not happen in that specific line, it is just the way
Python reports the error.
The most likely explanation is that layer3.y_pred does not depend on
test_set_x or test_set_y. It may be that you used a constant instead of
a symbolic variable at some point of the computation.
On Wed, Aug 10, 2016, Duc Nguyen wrote:
> test_model = theano.function(
> inputs = [index],
> outputs = layer3.y_pred,
> givens={
> x: test_set_x[index * batch_size: (index + 1) * batch_size],
> y: test_set_y[index * batch_size: (index + 1) * batch_size]
> }
> )
>
> theano.compile.function_module.UnusedInputError: theano.function was asked
> to create a function computing outputs given certain inputs, but the
> provided input variable at index 1 is not part of the computational graph
> needed to compute the outputs: <CudaNdarrayType(float32, vector)>.
> To make this error into a warning, you can pass the parameter
> on_unused_input='warn' to theano.function. To disable it completely, use
> on_unused_input='ignore'.
>
> ...
>
> layer3 is a LogisticRegression class
> error in line "outputs = layer3.y_pred"
> help me!
>
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Pascal
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