layers.py 文件源码

def set_output(self):
        padding = self._padding
        input_shape = self._input_shape
        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)

        fc_output = tensor.reshape(
            tensor.dot(self._fc_layer.output, self.Wx.val), self._output_shape)
        self._output = conv3d2d.conv3d(padded_input, self.Wh.val) + \
            fc_output + self.b.val.dimshuffle('x', 'x', 0, 'x', 'x')