convolutional.py 文件源码

def __init__(self,
                 kernel_size=3,
                 kernel_initialization=.1,
                 bias_initialization=1,
                 kernel_regularizer=None,
                 bias_regularizer=None,
                 activity_regularizer=None,
                 kernel_constraint=None,
                 bias_constraint=None,
                 **kwargs):
        super(GDNConv1D, self).__init__(
            rank=1,
            kernel_size=kernel_size,
            data_format='channels_last',
            kernel_initialization=kernel_initialization,
            bias_initialization=bias_initialization,
            kernel_regularizer=kernel_regularizer,
            bias_regularizer=bias_regularizer,
            activity_regularizer=activity_regularizer,
            kernel_constraint=kernel_constraint,
            bias_constraint=bias_constraint,
            **kwargs)
        self.input_spec = InputSpec(ndim=3)