convolutional.py 文件源码

def __init__(self, filters, kernel_size,
                 kernel_initializer='glorot_uniform', activation=None, weights=None,
                 padding='valid', strides=(1, 1), data_format=None,
                 kernel_regularizer=None, bias_regularizer=None,
                 activity_regularizer=None,
                 kernel_constraint=None, bias_constraint=None,
                 use_bias=True, **kwargs):
        if data_format is None:
            data_format = K.image_data_format()
        if padding not in {'valid', 'same', 'full'}:
            raise ValueError('Invalid border mode for CosineConvolution2D:', padding)
        self.filters = filters
        self.kernel_size = kernel_size
        self.nb_row, self.nb_col = self.kernel_size
        self.kernel_initializer = initializers.get(kernel_initializer)
        self.activation = activations.get(activation)
        self.padding = padding
        self.strides = tuple(strides)
        self.data_format = normalize_data_format(data_format)
        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.use_bias = use_bias
        self.input_spec = [InputSpec(ndim=4)]
        self.initial_weights = weights
        super(CosineConvolution2D, self).__init__(**kwargs)