79edae58d5892c5a7eb19b68f9e79dfae4682e20,keras/backend/tensorflow_backend.py,Function,__call__,#Function#Any#,970

Before Change

    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

        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)
                value = (indices, value.data, value.shape)
            feed_dict[tensor] = value
        session = get_session()
        updated = session.run(self.outputs + [self.updates_op], feed_dict=feed_dict)

Instances