convolutional.py 文件源码

def __init__(self, rank,
                 kernel_size=3,
                 data_format=None,
                 kernel_initialization=.1,
                 bias_initialization=1,
                 kernel_regularizer=None,
                 bias_regularizer=None,
                 activity_regularizer=None,
                 kernel_constraint=None,
                 bias_constraint=None,
                 **kwargs):
        super(_ConvGDN, self).__init__(**kwargs)
        self.rank = rank
        self.kernel_size = conv_utils.normalize_tuple(kernel_size, rank, 'kernel_size')
        self.strides = conv_utils.normalize_tuple(1, rank, 'strides')
        self.padding = conv_utils.normalize_padding('same')
        self.data_format = conv_utils.normalize_data_format(data_format)
        self.dilation_rate = conv_utils.normalize_tuple(1, rank, 'dilation_rate')
        self.kernel_initializer = initializers.Constant(kernel_initialization)
        self.bias_initializer = initializers.Constant(bias_initialization)
        self.kernel_regularizer = regularizers.get(kernel_regularizer)
        self.bias_regularizer = regularizers.get(bias_regularizer)
        self.activity_regularizer = regularizers.get(activity_regularizer)
        self.kernel_constraint = constraints.get(kernel_constraint)
        self.bias_constraint = constraints.get(bias_constraint)
        self.input_spec = InputSpec(ndim=self.rank + 2)