layers.py 文件源码

def __init__(self, prev_layers, axis=1):
        """
        list of prev layers to concatenate
        axis to concatenate

        For tensor5, channel dimension is axis=2 (due to theano conv3d
        convention). For image, axis=1
        """
        assert (len(prev_layers) > 1)
        super().__init__(prev_layers[0])
        self._axis = axis
        self._prev_layers = prev_layers

        self._output_shape = self._input_shape.copy()
        for prev_layer in prev_layers[1:]:
            self._output_shape[axis] += prev_layer._output_shape[axis]
        print('Concat the prev layer to [%s]' % ','.join(str(x) for x in self._output_shape))