elif self.op is None:
return None
else:
return self.op.get(name)
def eval(self, feed_dict=None, _uuid=None):
eval(feed_dict=None)
Returns the value of this tensor based on the evaluation of all dependent ops and tensors.
After Change
tensor was found.
tensors = tuple(self._get(name) for name in names)
return tensors[0] if len(names) == 1 else tensors
def _get(self, name):
if self.name == name: