(self, scale_index, height, width, conv_layer_fms, kernel_sizes, fc_layer_sizes)
Initializes the DScaleModel.

        @param scale_index: The index number of this height in the GeneratorModel.
        @param height: The height of the input images.
        @param width: The width of the input images.
        @param conv_layer_fms: The number of output feature maps for each convolution.
        @param kernel_sizes: The size of the kernel for each convolutional layer.
        @param fc_layer_sizes: The number of nodes in each fully-connected layer.

        @type scale_index: int
        @type height: int
        @type width: int
        @type conv_layer_fms: list<int>
        @type kernel_sizes: list<int> (len = len(scale_layer_fms) - 1)
        @type fc_layer_sizes: list<int>
Initializes the DScaleModel.
Initializes the DScaleModel .
def __init__(self, scale_index, height, width, conv_layer_fms, kernel_sizes, fc_layer_sizes):
        """
        Initializes the DScaleModel.

        @param scale_index: The index number of this height in the GeneratorModel.
        @param height: The height of the input images.
        @param width: The width of the input images.
        @param conv_layer_fms: The number of output feature maps for each convolution.
        @param kernel_sizes: The size of the kernel for each convolutional layer.
        @param fc_layer_sizes: The number of nodes in each fully-connected layer.

        @type scale_index: int
        @type height: int
        @type width: int
        @type conv_layer_fms: list<int>
        @type kernel_sizes: list<int> (len = len(scale_layer_fms) - 1)
        @type fc_layer_sizes: list<int>
        """
        assert len(kernel_sizes) == len(conv_layer_fms) - 1, \
            'len(kernel_sizes) must = len(conv_layer_fms) - 1'

        self.scale_index = scale_index
        self.height = height
        self.width = width
        self.conv_layer_fms = conv_layer_fms
        self.kernel_sizes = kernel_sizes
        self.fc_layer_sizes = fc_layer_sizes

        self.define_graph()
def __init__ ( self , scale_index , height , width , conv_layer_fms , kernel_sizes , fc_layer_sizes ) : assert len ( kernel_sizes ) == len ( conv_layer_fms ) - 1 , 'len(kernel_sizes) must = len(conv_layer_fms) - 1' self . scale_index = scale_index self . height = height self . width = width self . conv_layer_fms = conv_layer_fms self . kernel_sizes = kernel_sizes self . fc_layer_sizes = fc_layer_sizes self . define_graph ( )