741ad9fb33a98023d76c6b962ae77183745d4ffa,tensorlayer/models/core.py,Model,__call__,#Model#Any#Any#,62

Before Change

        // check inputs
        if isinstance(self._inputs, Layer):
            print(self._inputs._outputs_shape)
            print(inputs.get_shape().as_list())
        exit()

        // TODO: check inputs corresponds with self._inputs

After Change

        elif isinstance(inputs, np.ndarray):
            inputs = tf.convert_to_tensor(inputs)

        inputs_list = inputs if isinstance(inputs, list) else [inputs]
        outputs_list = self._outputs if isinstance(self._outputs, list) else [self._outputs]
        results = list()
        memory = dict()

Instances