vgg.py 文件源码

def check_add_deconv_layers(self, nobias=True):

        """Add a deconvolutional layer for each convolutional layer already
        defined in the network."""

        if len(self.deconv_blocks) == len(self.conv_blocks):
            return

        for conv_block in self.conv_blocks:
            deconv_block = []
            for conv in conv_block:
                out_channels, in_channels, kh, kw = conv.W.data.shape

                if isinstance(conv.W.data, cuda.ndarray):
                    initialW = cuda.cupy.asnumpy(conv.W.data)
                else:
                    initialW = conv.W.data

                deconv = L.Deconvolution2D(out_channels, in_channels,
                                           (kh, kw), stride=conv.stride,
                                           pad=conv.pad,
                                           initialW=initialW,
                                           nobias=nobias)

                if isinstance(conv.W.data, cuda.ndarray):
                    deconv.to_gpu()

                self.add_link('de{}'.format(conv.name), deconv)
                deconv_block.append(deconv)

            self.deconv_blocks.append(deconv_block)