def __call__(self, inputs):
assert type(inputs) in {list, tuple}
names = [getattr(v, "name", None) for v in self.inputs]
feed_dict = dict(zip(names, inputs))
session = get_session()
updated = session.run(self.outputs + [self.updates_op], feed_dict=feed_dict)
return updated[:len(self.outputs)]
After Change
def __call__(self, inputs):
assert type(inputs) in {list, tuple}
feed_dict = {}
for tensor, value in zip(self.inputs, inputs):
if is_sparse(tensor):
sparse_coo = value.tocoo()
indices = np.concatenate((np.expand_dims(sparse_coo.row, 1), np.expand_dims(sparse_coo.col, 1)), 1)
