def _check_unused_inputs(self, inputs, outputs, on_unused_input):
if on_unused_input is None:
on_unused_input = theano.config.on_unused_input
if on_unused_input == 'ignore':
return
# There should be two categories of variables in inputs:
# - variables that have to be provided (used_inputs)
# - shared variables that will be updated
used_inputs = gof.graph.ancestors(
([o.variable for o in outputs] +
[i.update for i in inputs if getattr(i, 'update', False)]),
blockers=[i.variable for i in inputs])
msg = ("theano.function was asked to create a function computing "
"outputs given certain inputs, but the provided input "
"variable at index %i is not part of the computational graph "
"needed to compute the outputs: %s.\n%s")
warn_msg = ("To make this warning into an error, you can pass the "
"parameter on_unused_input='raise' to theano.function. "
"To disable it completely, use on_unused_input='ignore'.")
err_msg = ("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'.")
for i in inputs:
if ((i.variable not in used_inputs) and (i.update is None)):
if on_unused_input == 'warn':
warnings.warn(msg % (inputs.index(i), i.variable,
warn_msg), stacklevel=6)
elif on_unused_input == 'raise':
raise UnusedInputError(msg % (inputs.index(i),
i.variable, err_msg))
else:
raise ValueError("Invalid value for keyword "
"on_unused_input of theano.function: "
"'%s'.\nValid values are 'raise', "
"'warn', and 'ignore'." % on_unused_input)
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