d2828713937b728cd41b31b459d11ec678d76177,keras/layers/convolutional_recurrent.py,ConvLSTM2D,reset_states,#ConvLSTM2D#,375

Before Change

        self.built = True

    def reset_states(self):
        assert self.stateful, "Layer must be stateful."
        input_shape = self.input_spec[0].shape
        output_shape = self.get_output_shape_for(input_shape)
        if not input_shape[0]:
            raise ValueError("If a RNN is stateful, a complete " +

After Change

        return initial_states

    def reset_states(self):
        if not self.stateful:
            raise RuntimeError("Layer must be stateful.")
        input_shape = self.input_spec[0].shape
        output_shape = self.get_output_shape_for(input_shape)
        if not input_shape[0]:
            raise ValueError("If a RNN is stateful, a complete " +

Instances