layers.py 文件源码

def set_output(self):
        padding = self._padding
        input_shape = self._input_shape
        if np.sum(self._padding) > 0:
            padded_input = tensor.alloc(0.0,  # Value to fill the tensor
                                        input_shape[0],
                                        input_shape[1] + 2 * padding[1],
                                        input_shape[2],
                                        input_shape[3] + 2 * padding[3],
                                        input_shape[4] + 2 * padding[4])

            padded_input = tensor.set_subtensor(
                padded_input[:, padding[1]:padding[1] + input_shape[1], :, padding[3]:padding[3] +
                             input_shape[3], padding[4]:padding[4] + input_shape[4]],
                self._prev_layer.output)
        else:
            padded_input = self._prev_layer.output

        self._output = conv3d2d.conv3d(padded_input, self.W.val) + \
            self.b.val.dimshuffle('x', 'x', 0, 'x', 'x')